You are seeing this message because your Web browser does not support basic Web standards. Find out more about why this message is appearing and what you can do to make your experience on this site better.


ABOUT ARCHIVES
Advanced Search

Welcome   | My Account | E-mail Alerts | Access Rights | Sign In


  Vol. 65 No. 1, January 2008 TABLE OF CONTENTS
  Archives
  •  Online Features
  Original Article
 This Article
 •Abstract
 •PDF
 • Reply to article
 •Send to a friend
 • Save in My Folder
 •Save to citation manager
 •Permissions
 Citing Articles
 •Citation map
 •Citing articles on HighWire
 •Citing articles on Web of Science (9)
 •Contact me when this article is cited
 Related Content
 •Similar articles in this journal
 Topic Collections
 •Attention Deficit Hyperactivity Disorder
 •Magnetic Resonance Imaging
 •Alert me on articles by topic
 Social Bookmarking
  Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit Add to Technorati Add to Twitter What's this?

Functional Magnetic Resonance Imaging of Methylphenidate and Placebo in Attention-Deficit/Hyperactivity Disorder During the Multi-Source Interference Task

George Bush, MD, MMSc; Thomas J. Spencer, MD; Jennifer Holmes, BS; Lisa M. Shin, PhD; Eve M. Valera, PhD; Larry J. Seidman, PhD; Nikos Makris, MD, PhD; Craig Surman, MD; Megan Aleardi, MS; Eric Mick, ScD; Joseph Biederman, MD

Arch Gen Psychiatry. 2008;65(1):102-114.

ABSTRACT

Context  Previous studies have reported hypofunction, structural abnormalities, and biochemical abnormalities of the dorsal anterior midcingulate cortex (daMCC) in attention-deficit/hyperactivity disorder (ADHD). Stimulant medications are effective treatments for ADHD, but their neural effects have not been fully characterized.

Objective  To determine whether the methylphenidate hydrochloride osmotic-release oral system (OROS) would increase functional magnetic resonance imaging (fMRI) activation, compared with placebo, in the daMCC and other frontoparietal regions subserving attention during the Multi-Source Interference Task (MSIT).

Design  Randomized, placebo-controlled, 6-week, before-after fMRI study.

Setting  Academic medical center ambulatory clinic.

Patients  Twenty-one adults with ADHD randomized to 6 weeks of treatment with methylphenidate OROS (n = 11) or placebo (n = 10).

Interventions  Patients underwent fMRI twice while performing the MSIT (scan 1 at baseline and scan 2 at 6 weeks).

Main Outcome Measures  Group-averaged, random-effects, repeated-measures, general linear model analyses were used to compare daMCC (and whole-brain) fMRI activation during the MSIT. Individual-based daMCC volume-of-interest confirmatory analyses and behavioral data are also presented.

Results  Performance and baseline fMRI measures in the daMCC and other a priori brain regions did not differ between groups. Group comparisons showed a group x scan interaction and t test confirmation of higher activation in the daMCC at 6 weeks in the methylphenidate OROS group than in the placebo group (P < 1 x 10–4, cluster corrected for multiple comparisons). Individual daMCC volume-of-interest analyses confirmed group-averaged findings and suggested that daMCC activity might be related to clinical response. Methylphenidate OROS also produced higher activation in the dorsolateral prefrontal cortex and the parietal cortex at 6 weeks.

Conclusion  Methylphenidate OROS increased daMCC activation during the MSIT and may act, in part, by normalizing daMCC hypofunction in ADHD.



INTRODUCTION
 Jump to Section
 •Top
 •Introduction
 •Methods
 •Results
 •Comment
 •Author information
 •References

Attention-deficit/hyperactivity disorder (ADHD) is the most common neurobehavioral disorder in children and adolescents, and it frequently persists into adulthood.1-6 Stimulants are effective treatments for ADHD,7-9 but their exact mechanism of action has not been established. Given the great morbidity associated with ADHD, including impaired academic, occupational, and social functioning and increased rates of substance abuse, traffic accidents, and persistent neuropsychologic impairments,10-14 determining the underlying neural substrate of ADHD and the neurobiological basis of successful treatments for ADHD is of great importance.

Convergent data from neuroimaging, neuropsychological, genetics, and neurochemical studies15-46 have implicated dysfunction of the dorsal anterior midcingulate cortex (daMCC), the dorsolateral prefrontal cortex (DLPFC), and the parietal cortex (together, the cingulofrontoparietal [CFP] cognitive/attention network), along with the striatum and cerebellum, as contributing to the pathophysiologic mechanism of ADHD. The daMCC findings are particularly consistent, with many imaging studies reporting daMCC hypofunction,15-23,46 structural abnormalities,24-26 or biochemical abnormalities.47 The daMCC plays key roles in cognition, attention, target detection, motor control (response selection and inhibition), error detection, and feedback-based decision making,48-53 and daMCC dysfunction is likely to result in the cardinal signs of ADHD. Together, these functional and structural imaging data combine with theoretical constructs to strongly implicate daMCC (and CFP network) abnormalities in the pathophysiologic mechanism of ADHD. Related to understanding the pathophysiologic mechanism of ADHD is determining how medications used to treat the disorder produce their effects. Although imaging studies have provided valuable insights, including implication of the dopaminergic/catecholaminergic systems,54-86 the neural mechanisms by which stimulants exert their therapeutic effects are complex and multifaceted and have not been fully established.

To better assess brain changes related to treatment with the methylphenidate hydrochloride osmotic-release oral system (OROS) (Concerta; McNeil-PPC Inc, Ft Washington, Pennsylvania), we incorporated a variety of study design elements to maximize the ability to detect methylphenidate-related brain effects. First, we used the Multi-Source Interference Task (MSIT), a cognitive activation paradigm specifically designed to be a robust and reliable task for identifying and interrogating the daMCC and the CFP network using functional magnetic resonance imaging (fMRI).87-88 The MSIT has demonstrated the ability to activate the daMCC in approximately 95% of the more than 100 individuals who have undergone fMRI to date.87 Second, patients underwent fMRI using a high-field-strength 3-T fMRI scanner to boost signal-to-noise characteristics. Third, adults with ADHD were studied because persistence of ADHD increases the likelihood of neurobiological causation.15 Fourth, because clinical response to methylphenidate does not maximally differentiate from placebo until approximately 4 to 6 weeks,7-8 patients underwent fMRI at baseline and again 6 weeks after randomization to receive methylphenidate OROS or placebo (week 6 fMRI was performed approximately 4-6 hours after dosing). Fifth, we optimized sample homogeneity by excluding patients with non-ADHD Axis I diagnoses. Finally, the MSIT allowed us to perform 2 complementary types of analyses: (1) more traditional group-based comparisons (eg, placing all patients into standardized anatomical space89 and performing between-group "whole-brain" voxelwise comparisons) and (2) confirmatory individual-based daMCC volume-of-interest (VOI) analyses that allowed us to characterize and reduce interpatient anatomical variability by using the MSIT to functionally localize the daMCC for each patient and then extracting and analyzing the data from within these individualized daMCC VOIs (analogous to methods used by O’Craven et al90).

These individual-based daMCC VOI analyses were a key part of the study because they permitted us to address 2 outstanding issues. First, they allowed us to remove anatomical variability, a potentially serious confound for group-averaged analyses, from consideration (ie, as detailed previously,15 if individual patients with ADHD had "normal" activation but greater anatomical variability than controls, traditional group-averaged analyses could erroneously make it seem that the ADHD group had lower activity because spatially diverse individual activation sites might not overlap sufficiently to produce a group-averaged activation). In light of this, we performed initial group-averaged analyses and then confirmed these results using the MSIT to perform individual-based VOI analyses that identified daMCC activation for each individual and entered these data into repeated-measures analyses of variance (ANOVAs) to characterize drug effects. Second, we performed spatial variability analyses of the daMCC location in all patients with ADHD and compared the results with those of a similar published daMCC spatial variability analysis of healthy adults.88

Specifically, we hypothesized that (1) although baseline comparisons would show no differences between the methylphenidate OROS and placebo groups, 6 weeks of treatment with methylphenidate OROS would produce higher daMCC activation than placebo and (2) individual-level daMCC VOI analyses would support the group-averaged findings.


METHODS
 Jump to Section
 •Top
 •Introduction
 •Methods
 •Results
 •Comment
 •Author information
 •References

PATIENTS

Written informed consent was obtained per the Massachusetts General Hospital Subcommittee on Human Subjects guidelines. The sample included 21 unmedicated adults with ADHD per DSM-IV criteria91 with childhood onset and persistence of symptoms into adulthood. Additional inclusion criteria were age 18 to 51 years, right-handedness, and IQ greater than 80. Exclusion criteria were the presence of (1) any current Axis I psychiatric diagnosis other than ADHD, as verified by the Structured Clinical Interview for DSM-IV92; (2) any clinically significant medical condition; (3) clinically significant abnormal laboratory values; (4) contraindications to MRI (metal objects in body or claustrophobia); (5) seizures or tics; (6) pregnancy or nursing; (7) alcohol or substance abuse (current or in the past 2 years); and (8) a previous adequate trial with methylphenidate.

Patients were ascertained from randomized, double-blind, placebo-controlled clinical studies of methylphenidate preparations.7-8 Patients underwent comprehensive assessments, including psychiatric evaluation by a board-certified psychiatrist, structured diagnostic interviews using the Structured Clinical Interview for DSM-IV supplemented for childhood disorders by modules (DSM-IV ADHD and conduct disorder) from the Schedule for Affective Disorders and Schizophrenia for School-Age Children–Epidemiologic Version,93 medical history, and laboratory assessments (liver function tests, complete blood cell count, vital signs, and electrocardiography). Cognitive testing (full-scale IQ) was estimated via the Wechsler Adult Intelligence Scale–Revised.94

Methylphenidate OROS was titrated to optimal response (maximum daily dose, 1.3 mg/kg; initial dose, 36 mg). During titration, the dosage was increased by 36 mg/d at weekly visits, but only for patients who did not attain an a priori definition of response or improvement.7 Adverse effects were minimal, as expected, and did not differ significantly between treatment response groups. Severity and clinical response were assessed using the Adult ADHD Investigator Symptom Report Scale95 and the Clinical Global Impression Scale.96 Treatment responders were defined as patients showing an Adult ADHD Investigator Symptom Report Scale score reduction greater than 30% and a 1- or 2-point improvement in the Clinical Global Impression–Improvement Scale score, per previously published studies.7-8 Raters and patients were masked to treatment assignment.

MSIT METHODS AND fMRI PROCEDURES

The MSIT procedures have been detailed elsewhere87 and are summarized in Figure 1. Patients completed 192 trials during each fMRI (24 trials during each 42-second control [C] or interference [I] block; 96 trials of each type during each fMRI).


Figure 1
View larger version (35K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Figure 1. Multi-Source Interference Task trial examples. Per our published protocol,87 patients reported, via button press, the identity of the number that differed from the other 2 numbers. During control trials, distractors were zeroes and target numbers were congruent with their button box positions. During interference trials, distractors were drawn from the set of potential target numbers (ie, 1, 2, or 3), and target numbers were never placed congruently with their button box positions. In both examples, the correct answer would be to press button 2. Block-formatted functional series began and ended with 30 seconds of fixation, and the interstimulus interval was 1750 milliseconds. Patients completed a 5-minute practice version just prior to the fMRI session.


Functional MRI was performed in a 3.0-T echoplanar scanner (Allegra; Siemens AG, Munich, Germany) using a head coil.50 Patients laid on a padded scanner couch in a darkened room and wore foam earplugs. Foam padding stabilized the head. Stimuli, generated via the MacStim 2.6 program (WhiteAnt Occasional Publishing, West Melbourne, Australia) on a Macintosh Powerbook (Apple Inc, Cupertino, California), were projected onto a screen and viewed via a tilted mirror.

After an initial localizer fMRI, high-resolution MPRAGE (magnetization prepared rapid gradient echo) structural images (1.0 x 1.0 x 1.3 mm; 128 sections; 256 x 256 matrix; echo time, 3.3 milliseconds; repetition time, 30 milliseconds; and flip angle, 40°) were collected for 3-dimensional anatomical localization. Functional MRIs (23 coronal sections, extending posteriorly from y {approx} +60, 3.125 mm2 in-plane resolution x 5 mm thick, skip 0 mm; echo time/repetition time, 30/1500 milliseconds; 264 images per section; flip angle, 90°; field of view, 20 cm2; and 64 x 64 matrix) lasted 6 minutes and 36 seconds.

DATA ANALYSIS

Behavioral Data

Reaction time (RT) and accuracy were analyzed using 2 (group: methylphenidate OROS vs placebo) x 2 (condition: MSITInterference vs MSITControlx 2 (scan: scan 1 [baseline] vs scan 2 [6 weeks]) repeated-measures ANOVAs. We used t tests for specific contrasts.

Structural and Functional Neuroimaging Data

Structural and functional images were analyzed using Brain Voyager (Brain Innovation, Maastricht, the Netherlands). Functional data preprocessing included 3-dimensional motion correction, drift correction, and interimage section time correction. Each patient's functional and high-resolution structural data were coregistered and transformed into Talairach space.

Random-effects general linear model (GLM) analyses were used for between-group comparisons (methylphenidate OROS vs placebo) to enable us to generalize the conclusions to the larger population beyond this sample. The GLM predictors were modeled in a standard manner by convolving with an expected hemodynamic response function. For all contrasts, the a priori focus was on testing the response of the daMCC, defined anatomically using criteria described previously as cingulate cortex anterior to y = 0 mm, posterior to y = +30 mm, and within 15 mm of the midline.15, 50, 88

Functional MRI analyses were performed as follows. For the main group-averaged contrast (methylphenidate OROS vs placebo, whole brain with a priori daMCC focus), we used a multistep, masked, random-effects, repeated-measures ANOVA GLM analysis. A voxelwise mask representing all voxels showing MSITInterference > MSITControl activity for 11 patients treated with methylphenidate OROS during scan 2 (P < .05 uncorrected, totaling 2354 mask voxels) was applied to restrict analysis of whole-brain data from all 21 patients to brain areas specifically involved in cognitive task performance. In these masked voxels, a random-effects, repeated-measures ANOVA GLM was calculated to identify brain regions that showed a significant treatment group (methylphenidate OROS vs placebo) x scan (scan 1 [baseline] vs scan 2 [6 weeks]) interaction and a confirmatory t test indicating significantly higher scan 2 activation during MSITInterference trials in the methylphenidate OROS group than in the placebo group. To correct for multiple comparisons, we used a stringent cluster constraint producing a regional false-positive probability of P < 1 x 10–4 (ie, to match previous conservative published {alpha} thresholds,15 for unsmoothed data, we required clustering of ≥7 contiguous voxels with P < .0597).

Beyond the focused daMCC group analyses, we also report whole-brain findings for any brain region that met the same stringent criteria (interaction plus confirmatory scan 2 t test), and for completeness, we provide whole-brain data showing regions with significantly higher scan 2 activation during MSITInterference trials in the methylphenidate OROS group than in the placebo group (although these post hoc–identified regions should be prospectively confirmed).

Confirmatory individual daMCC VOI analyses were performed using a 3-step modified conjunction process. First, in an initial daMCC search volume (defined anatomically using the previously mentioned criteria), we used a standard MSITInterference minus MSITControl contrast to functionally localize the daMCC for each patient (ie, the daMCC was functionally defined as showing significant activation during MSITInterference above the MSITControl and fixation baselines). For this initial search volume definition, a regional (daMCC) threshold of P < 1 x 10–4 was used (P <.05 per voxel corrected for multiple comparisons with a 7-voxel cluster requirement97). To allow for possible increased spatial variability in patients with ADHD, activation in the cingulate cortex that began in but extended beyond the initial daMCC search volume was still considered part of the daMCC. Also, because it was hypothesized that methylphenidate OROS could enhance daMCC activity (possibly resulting in a new or larger regional activation in scan 2), VOI definitions were determined separately for scans 1 and 2. Second, in these functionally defined VOIs, we identified the voxel with the maximal percentage signal change of MSITInterference above fixation (in the 3 patients with bilateral daMCC activations, the means of the 2 activations were used so that each individual contributed only 1 value). Finally, these percentage fMRI signal change values were compared between groups (methylphenidate OROS vs placebo, and then again after subdividing by clinical treatment response) using repeated-measures ANOVAs.

For completeness (to characterize the ADHD group response), we also performed an overall GLM to identify brain regions activated in the MSITInterference minus MSITControl contrast in the full group of 21 patients with ADHD at baseline scan 1. For this single contrast, to reduce interpatient variability and more closely match previous studies, we used a 4-mm full-width at half maximum spatial smoothing filter.

Finally, to quantify the degree to which the locations of individual daMCC activations matched that of the group-averaged data, we performed a spatial variability analysis by calculating mean distances of individuals' daMCC maxima from the group average. Data from these adults with ADHD (n = 21) were then compared via t test with a published spatial variability analysis of 8 healthy adults from the MSIT validation study.88


RESULTS
 Jump to Section
 •Top
 •Introduction
 •Methods
 •Results
 •Comment
 •Author information
 •References

SAMPLE CHARACTERISTICS AND BEHAVIORAL DATA

The methylphenidate OROS and placebo groups did not differ significantly in IQ, age, sex, baseline ADHD severity, or end-of-trial dosage (Table 1). The groups also did not differ with respect to RT or accuracy. A means table for RT and accuracy is provided (Table 2).


View this table:
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Table 1. Sample Characteristicsa



View this table:
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Table 2. MSIT Performance Dataa


fMRI RESULTS

Baseline Group Comparison

The methylphenidate OROS and placebo groups did not significantly differ at baseline in any a priori region of interest. In fact, a GLM contrasting methylphenidate OROS MSITInterference vs placebo MSITInterference during baseline scan 1 showed that only 1 cortical area differed between groups (the precuneus [area 31]: x, y, z = 13, –51, 34), and it is not part of the CFP cognitive/attention network.

Group Comparison at 6 Weeks

As predicted, the main group-averaged contrast of interest showed that, compared with placebo, 6 weeks of methylphenidate OROS significantly increased daMCC activation (Figure 2). Two separate areas in the daMCC, a third posteriorly adjacent to the daMCC, and a fourth insular region passed a rigorous, multistep, masked, random-effects, repeated-measures ANOVA GLM analysis, showing a significant treatment group (methylphenidate OROS vs placebo) x scan (scan 1 [baseline] vs scan 2 [6 weeks]) interaction and a confirmatory t test indicating significantly higher scan 2 activation during MSITInterference trials in the methylphenidate OROS group than in the placebo group (corrected P < 1 x 10–4).


Figure 2
View larger version (31K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Figure 2. Six weeks of treatment with the methylphenidate osmotic-release oral system (OROS), compared with placebo, produced both a treatment group (methylphenidate OROS vs placebo) x scan (scan 1 [baseline] vs scan 2 [6 weeks]) interaction and significantly increased activation of the dorsal anterior midcingulate cortex (daMCC) bilaterally (x, y, z = 5, 23, 31; 22 voxels; x, y, z = –2, 0, 28; 43 voxels), a third region posteriorly adjacent to the daMCC (x, y, z = –6, –4, 43; 7 voxels), and a fourth in the right insula (x, y, z = 33, 11, 6; 22 voxels). Corrected regional thresholds (clusterwise) were P < 1 x 10–4.


Although not displaying a significant interaction effect, the rest of the CFP cognitive/attention network and other regions typically activated by the MSIT in healthy volunteers and adults with ADHD (the premotor cortex and thalami bilaterally)88 showed higher activation in the methylphenidate OROS group than in the placebo group at 6 weeks, even after applying a more stringent cluster constraint (corrected P < 1 x 10–6) (Figure 3 and Table 3).


Figure 3
View larger version (68K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Figure 3. A random-effects general linear model comparison of methylphenidate osmotic-release oral system (OROS) Multi-Source Interference Task (MSIT)Interference minus placebo MSITInterference activation during image 2 (6 weeks) revealed increased activation of the cingulofrontoparietal network, including the dorsal anterior midcingulate cortex (daMCC) bilaterally, the right-sided dorsolateral prefrontal cortex (DLPFC), and the bilateral superior parietal cortices, in the methylphenidate OROS group (n = 11) compared with the placebo group (n = 10). The top panels depict sagittal, axial, and coronal sections for the right-sided daMCC (24c'/32') from Table 3, and the bottom panels similarly depict the section data for the left-sided daMCC activation from Table 3. Corrected regional thresholds (clusterwise) were P < 1 x 10–6.



View this table:
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Table 3. Brain Regions Showing Higher MSIT Activation in Adult Completers With ADHD of a 6-Week Trial of Methylphenidate OROS vs Placeboa


Single-Patient daMCC VOI Analyses at 6 Weeks

Individual-level daMCC analyses confirmed the group-averaged results. As Figure 4 shows, there was a significant predicted treatment group x scan interaction (P = .04), and a t test confirmed that the daMCC percentage fMRI signal change was higher in the methylphenidate OROS group at 6 weeks (P = .02). Thus, although the methylphenidate OROS and placebo groups did not differ at baseline, the methylphenidate OROS group showed higher daMCC activation at 6 weeks.


Figure 4
View larger version (68K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Figure 4. Individual-level dorsal anterior midcingulate cortex (daMCC) analyses confirmed that the methylphenidate osmotic-release oral system (OROS) and placebo groups did not differ at baseline, but the methylphenidate OROS group showed higher daMCC activation at 6 weeks. Specifically, although there was no main effect of treatment group (F1,19 = 2.2; P = .15) or scan (F1,19 = 0.03; P = .87), there was a significant predicted treatment group x scan interaction (F1,19 = 5.2; P = .04), and a 2-tailed unpaired t test confirmed that at 6 weeks, the mean (SD) daMCC percentage functional magnetic resonance imaging (fMRI) signal change was higher in the methylphenidate OROS group (1.95% [1.4%]) than in the placebo group (0.74% [0.65%]) (mean difference, 1.2%; t19 = 2.47; P = .02). Error bars represent SE; asterisk, significant difference during scan 2 at P < .05 level.


Spatial variability analyses revealed that adults with ADHD showed greater variability in the anatomical location of the daMCC than did healthy adults from the MSIT validation study.88 As Figure 5 depicts, healthy individuals displayed a tight spatial correlation between the individual and group data, whereas patients with ADHD displayed significantly greater spatial variability (P = .04).


Figure 5
View larger version (82K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Figure 5. Spatial variability analysis revealed that adults with attention-deficit/hyperactivity disorder (ADHD) (N = 21) showed greater variability of the anatomical location of the dorsal anterior midcingulate cortex (daMCC) compared with healthy adults (n = 8) from the Multi-Source Interference Task (MSIT) validation study.88 Healthy individuals had a tight spatial correlation between the individual and group-averaged daMCC activation locations (mean [SD] distance of individual daMCC activations from the ipsilateral group-averaged activations was only 8.5 [6.1] mm). In contrast, individual patients with ADHD displayed greater spatial variability (mean distance from the midline group-averaged daMCC activation = 13.2 [8.5] mm; P = .04, 2-tailed t test). For reference, daMCC activation sites from cognitive/attention tasks are shown.49 CC indicates corpus callosum.


Relationship Between daMCC Activation and Treatment Response

Planned group-averaged and single-patient analyses were also performed to identify characteristic brain responses indicative of clinical response to treatment. Although group-averaged data did not show a significant treatment group x response interaction in any brain region, in the daMCC, an individual patient's VOI-based repeated-measures ANOVA did show a significant treatment group x response interaction (F3 = 3.5; P = .04), and methylphenidate OROS responders predictably showed higher daMCC activation than did methylphenidate OROS failures, placebo responders, and placebo failures (Figure 6).


Figure 6
View larger version (68K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Figure 6. Individual patients' maximal dorsal anterior midcingulate cortex (daMCC) Multi-Source Interference Task (MSIT)Interference percentage functional magnetic resonance imaging (fMRI) signal change values were entered into a treatment group (methylphenidate osmotic-release oral system [OROS] vs placebo) x clinical response (responder vs failure) repeated-measures analysis of variance. These patient-level daMCC analyses revealed that there was a significant treatment group x clinical response interaction (F3,17 = 3.48; P = .04). The asterisk indicates that planned follow-up 2-tailed unpaired t tests confirmed predictions that at scan 2 (6 weeks), mean (SD) daMCC percentage fMRI signal change would be higher in methylphenidate OROS responders (2.51% [1.5%]) than in methylphenidate OROS failures (0.96% [0.26%]; P = .04), placebo responders (1.03% [0.66%]; P = .046), and placebo failures (0.30% [0.35%]) (P = .008). Error bars represent SE.


Also, the direction of the daMCC percentage fMRI signal change from baseline to 6 weeks was related to treatment response. In the methylphenidate OROS group, 71% (5 of 7) of the responders showed an increase from baseline in daMCC activity at 6 weeks, whereas only 25% (1 of 4) of the failures showed such an increase (and all 10 placebo users—6 responders and 4 failures—showed either a decrease or no change in daMCC activation at 6 weeks). The {chi}2 analysis showed that these proportions were significantly different ({chi}23 = 10.3; P = .02). The MSIT performance did not differ between groups and thus could not account for the daMCC results.

COMBINED ADHD GROUP MSIT RESPONSE AT BASELINE

For completeness, we also performed an overall GLM to identify brain regions activated in the MSITInterference minus MSITControl contrast in the full group of 21 patients with ADHD at baseline. Whereas the group-averaged fMRI data showed that the MSIT activated portions of the CFP network and other brain regions involved in cognition, target detection, response selection, motor planning, and motor output (including the daMCC, premotor cortex, caudate, thalamus, and parietal cortex [Table 4]); activation was not observed in the DLPFC. This lack of DLPFC activation supports hypothesized DLPFC hypofunction in ADHD.


View this table:
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Table 4. MSIT Activations and Deactivations in 21 Adults With ADHD at Baselinea



COMMENT
 Jump to Section
 •Top
 •Introduction
 •Methods
 •Results
 •Comment
 •Author information
 •References

The MSIT was performed during fMRI to examine the responses of the daMCC and other brain regions to 6 weeks of treatment with methylphenidate OROS in adults with ADHD and to compare these responses with placebo. There were 2 principal findings:

  1. Both group-averaged and individual daMCC VOI analyses supported the main hypotheses. Both levels of analysis showed that (1) the methylphenidate OROS and placebo groups did not differ at baseline and (2) 6 weeks of treatment with methylphenidate OROS produced higher daMCC activation than placebo. Both levels of analysis displayed significant treatment group x scan interactions and confirmed higher methylphenidate OROS activation than placebo at 6 weeks. Thus, the individual-level daMCC VOI analyses supported the group-averaged findings.
  2. The daMCC activation was related to clinical response so that the individual daMCC VOI analyses revealed a significant treatment group x clinical response interaction, and confirmatory t tests showed that at 6 weeks, methylphenidate OROS responders displayed significantly higher daMCC activation than methylphenidate OROS failures, placebo responders, or placebo failures. In addition, at 6 weeks, methylphenidate OROS responders showed higher daMCC activation than placebo failures in group-averaged and individual daMCC VOI analyses.

There were also 4 secondary findings:

  1. At the group level, the fMRI activation levels of the methylphenidate OROS and placebo groups during the MSIT were not significantly different at baseline, but by 6 weeks, the methylphenidate OROS group showed significantly higher activation in the daMCC, DLPFC, and parietal cortex (the CFP cognitive/attention network) and in other brain regions relevant to ADHD (the caudate, premotor cortex, thalamus, and cerebellum).
  2. Secondary analyses indicated that the observed methylphenidate OROS effects on the daMCC were not attributable to MSIT task performance, age, IQ, sex, or clinical severity of ADHD.
  3. Spatial variability analyses suggest that adults with ADHD show greater variability in the location of the daMCC than healthy adults.
  4. The lack of DLPFC activation in 21 adults with ADHD at baseline suggests that the DLPFC may be hypofunctional in ADHD.

As in previous studies by our ADHD imaging group,15, 24-25 we focused primarily on the daMCC because it plays central roles in cognitive processes that, if disrupted by daMCC hypofunction, could produce the cardinal signs of ADHD: inattention, impulsivity, and hyperactivity. Recent functional imaging and intracranial recording studies in humans and primates48-50 have combined to suggest that the daMCC operates in a feedback-mediated decision-making framework, integrating information about planned operations and expectations with rewards and negative outcomes, shaping decisions, and modulating motor output. Animal studies further suggest that dopamine modulates the daMCC's decision-making functions,98-102 providing a possible link to the present study's methylphenidate OROS findings. Thus, dysfunction of the daMCC could also explain the observed phenomenon of patients with ADHD performing normally on some tasks (when motivated) but showing deficient performance when the task is not deemed salient. Although the exact roles that the daMCC plays in distributed cognitive/attention networks remain to be established, it is increasingly clear that further focused study of the daMCC is important to improving our understanding of the pathophysiologic mechanism of ADHD and other neuropsychiatric disorders.

In this study, the MSIT predictably revealed that beyond the daMCC, methylphenidate OROS also increased activation of other brain regions that have been implicated in attention, motor control, and the pathophysiologic mechanism of ADHD (including the DLPFC, parietal cortex, caudate, premotor cortex, thalamus, and cerebellum). This was expected because these structures subserve cognitive processing in a parallel-distributed manner.103-104 The DLPFC is often coactivated with the daMCC during cognitive tasks,105-106 the premotor cortex is responsible for planning and execution of nonautomatic tasks,107 the parietal cortex has been activated during target detection108-109 and Stroop tasks,15, 106, 110-112 and the striatum has been implicated in the pathophysiologic mechanism and treatment effects of ADHD.16, 18, 27, 35, 54, 62, 69, 78, 113 Although the precise roles that these various structures play in ADHD and cognition remain to be determined, the data argue strongly that they interact as a distributed network.

Mechanistically, positron emission tomography and single-photon emission computed tomography studies have shown that methylphenidate acts in part by blocking the dopamine transporter, which is responsible for the synaptic reuptake of dopamine and shows higher bioavailability in patients with ADHD than in controls.69-72 However, these imaging modalities have not shown the presumed downstream functional effects of dopamine deficiency by characterizing functional cortical brain responses during cognitive task performance. On the basis of previous studies and the present data, we suggest that methylphenidate may initiate its effects by blocking the striatal dopamine transporter and increasing the synaptic availability of dopamine, which in turn may boost "downstream" signal-to-noise postsynaptically in the daMCC and in the CFP network. These actions could improve target detection, filtering of distracting information, error detection, motivation, and reward-based decision-making processes and help regulate motor inhibition (thereby reducing hyperactivity and impulsivity).16, 48 Although speculative and reductionistic, such a model is neurobiologically plausible, testable, and consistent with the extant literature.

MSIT ADVANTAGES FOR STUDIES OF CLINICAL POPULATIONS AND PHARMACEUTICALS

As discussed elsewhere,87-88 the MSIT possesses many of the qualities deemed desirable in a functional neuroimaging test. The present study adds another important advantage because the MSIT has now been shown to display sensitivity to drug effects in specified brain regions of interest. Beyond the intrinsically enhanced robustness of the MSIT, the present study also may have been able to identify brain effects when some previous studies did not because it incorporated recent technological and procedural advantages that were previously unavailable to maximize the probability of identifying methylphenidate-related brain effects. The present study was performed on a powerful 3-T fMRI magnet system, which affords superior signal-to-noise characteristics, and follow-up imaging was performed at 6 weeks (rather than shortly after the baseline imaging session) because this was recently shown to be a time of maximal clinical response. The data indicate that the MSIT can be a useful task in studies of neuropsychiatric patients and healthy volunteers and in pharmaceutical and other treatment studies.

As shown herein, the MSIT's ability to produce activation in individuals is particularly valuable to patient-based studies and drug studies. Refined localization of brain regions improves the power to detect differences in patient and drug studies. As the individual VOI analyses and spatial variability analysis herein show, use of the MSIT can also help patient studies by permitting elimination of the potential confound of greater anatomical variability in a patient group. The MSIT's ability to concomitantly measure brain activation and behavioral performance permitted us to characterize individual responses and to rule out performance effects as a potential confound for the fMRI data. Although the individual-level study is stressed herein, group-averaged MSIT data can also be used with the advantages of greater power, fewer patients, and higher confidence.

STUDY LIMITATIONS

This study has several limitations. First, although these results are likely to hold true for children and adolescents with ADHD, the specific results described herein are valid only for adults with ADHD and need to be specifically tested in younger patients. Second, although group and individual-level analyses provided evidence that the daMCC response is related to the clinical response, these findings, although predicted, should be viewed as preliminary given the small subsample sizes and potential confounds, and they need to be replicated using larger samples. Third, although the lack of activation of the DLPFC in the full cohort of 21 patients with ADHD suggests that the DLPFC may be dysfunctional in ADHD, the lack of a direct comparison group precludes definitive confirmation of this conclusion (the previous validation study group of healthy adults88 cannot be used for comparison because that study used a slightly different version of the MSIT, and those patients were not matched to the present study's sample). Fourth, the study was designed to assess the long-term, not the short-term, effects of methylphenidate OROS; future studies are needed to distinguish any such differential effects. Fifth, this study was not designed to address more complex questions regarding daMCC structure (eg, cytoarchitectural borders and possible effects of the presence or absence of the paracingulate gyrus), distinguishing other regions (eg, delineating borders of the inferior and middle frontal gyri), or comparing results in ADHD with those in other disorders, such as schizophrenia114-118—all issues that can be considered in future studies. Sixth, there was a trend toward more women in the placebo group; however, this was only a nonsignificant trend, and neither baseline fMRI activation nor behavioral performance varied by sex. In addition, fMRI hemodynamic responses have not generally been found to vary by sex (if anything, women may have an accentuated blood oxygenation level–dependent response or cerebral blood flow,119-125 which would run counter to the observed effects herein in which the placebo group, trending toward more women, showed lower fMRI activity). Moreover, large-scale ADHD studies argue that the clinical response to methylphenidate does not vary with sex,7-8 nor does sex moderate the association between ADHD and the phenotypic expression of the disorder (including symptom profile), the prevalence of lifetime or current comorbid psychiatric disorders, or patterns of cognitive and psychosocial functioning.126 Finally, the spatial variability analysis should be replicated (slightly different MSIT versions and fMRI parameters were used, and samples were not matched). It was included herein because it makes maximal use of the enriched data sets beyond the main contrast of interest, highlights how individual VOI analyses can be helpful, and graphically illustrates that intergroup differences in anatomical variability are a valid concern to be addressed in future work. Such prospective comparisons between ADHD and control groups using the MSIT will be performed in future studies.

In conclusion, methylphenidate OROS is a highly effective first-line treatment for ADHD. Herein, the MSIT was used during fMRI to characterize the neural effects of methylphenidate OROS compared with placebo in adults with ADHD. The results show that, compared with placebo, methylphenidate OROS increased activation of brain regions that have been implicated in the pathophysiologic mechanism of ADHD, including the daMCC, DLPFC, parietal cortex, premotor cortex, caudate, and cerebellum. Secondary analyses indicate that the MSIT was sensitive to treatment response, showing that methylphenidate OROS responders increased daMCC activation significantly above that of methylphenidate OROS failures, placebo responders, and placebo failures, and also ruled out potential confounds of performance, age, sex, and cognitive abilities on fMRI results. Individual-based daMCC VOI analyses confirmed these group-averaged data results. Analyses of the full ADHD group at baseline suggest that the DLPFC may be dysfunctional in ADHD and that patients with ADHD display greater anatomical variability in the location of the daMCC, facts consistent with previous literature showing structural and functional abnormalities of these brain regions. These data support use of the MSIT and fMRI to identify the neural effects of drugs used to treat ADHD and other neuropsychiatric disorders.


AUTHOR INFORMATION
 Jump to Section
 •Top
 •Introduction
 •Methods
 •Results
 •Comment
 •Author information
 •References

Correspondence: George Bush, MD, MMSc, Cingulate Cortex Research Laboratory, MGH Psychiatric Neuroimaging Program, Massachusetts General Hospital–East, CNY-2614, Building 149, 13th Street, Charlestown, MA 02129 (geo{at}nmr.mgh.harvard.edu).

Submitted for Publication: December 14, 2006; final revision received July 27, 2007; accepted July 31, 2007.

Author Contributions: Dr Bush had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Financial Disclosure: Dr Bush has received research support from, has received honoraria from, or has served on the advisory boards of Eli Lilly & Co, Pfizer, Inc, Shire Pharmaceuticals, Novartis Pharmaceuticals, Janssen, LP, Johnson & Johnson, McNeil Pharmaceuticals, the National Institute of Mental Health, the National Science Foundation, the National Alliance for Research on Schizophrenia and Depression, the MIND Institute, and the Benson-Henry Institute for Mind-Body Medicine. Dr Spencer has received research support from, has been a speaker for, or has served on the advisory boards of Shire Pharmaceuticals, Eli Lilly & Co, GlaxoSmithKline, McNeil Pharmaceuticals, Novartis Pharmaceuticals, New River Pharmaceuticals, Pfizer, Inc, Cephalon, and the National Institute of Mental Health. Dr Surman has received compensation for clinical research or speaking or has served on the advisory boards of the Hilda and Preston Davis Foundation, the National Institute of Mental Health, Abbott, Eli Lilly & Co, Cephalon, Janssen Pharmaceuticals, McNeil Pharmaceuticals, Merck, New River Pharmaceuticals, Novartis Pharmaceuticals, Shire Pharmaceuticals, and Takeda. Dr Valera has received support for travel, speaking (honoraria), and research from Eli Lilly & Co, Shire Pharmaceuticals, and the National Institute of Mental Health (K23 MH071535). Dr Mick has been a consultant to Pfizer, Inc, and Shire Pharmaceuticals and has received grant support from McNeil Pharmaceuticals and the National Institute of Mental Health. Dr Biederman has received research support from, has been a speaker for, or has served on the advisory boards of Abbott, AstraZeneca, Bristol-Myers Squibb, Celltech, Cephalon, Eli Lilly & Co, Esai, Forest Laboratories, GlaxoSmithKline, Gliatech, Janssen, LP, McNeil Pharmaceuticals, New River Pharmaceuticals, Novartis Pharmaceuticals, Noven, Neurosearch, Otsuka America Inc, Pfizer, Inc, Pharmacia, the Prechter Foundation, Shire Pharmaceuticals, the Stanley Foundation, UCB Pharma, Inc, Wyeth, the National Alliance for Research on Schizophrenia and Depression, the National Institute of Child Health and Human Development, the National Institute on Drug Abuse, and the National Institute of Mental Health.

Funding/Support: This study was supported by a grant from McNeil Pharmaceuticals and the Mental Illness and Neuroscience Discovery Institute (Dr Bush); McNeil Consumer & Specialty Pharmaceuticals; grants 5 RO1 MH064019 (Dr Spencer) and MH/HD 62152 (Dr Seidman) from the National Institute of Mental Health; National Research Service Award NIMH F32 MH065040-01A1; the Peter Livingston Fellowship through the Harvard Medical School Department of Psychiatry and the Clinical Research Training Program Fellowship in Biological and Social Psychiatry (MH-16259) (Dr Valera); the National Alliance for Research on Schizophrenia and Depression, the Johnson & Johnson Center for the Study of Psychopathology (Dr Biederman); and grant P41RR14075 from the Center for Functional Neuroimaging Technologies. This study was initiated by the investigators.

Role of the Sponsor: McNeil Consumer & Specialty Pharmaceuticals assisted in study design but did not assist in the collection, analysis, interpretation, or reporting of data.

Additional Contributions: We thank the participants for their patience and willingness to follow through with multiple testing sessions. Meghan Dougherty, Sarah Ramer, Kaylyn Hubbard, and Sarah Black assisted with patient recruitment and screening; Mary Foley, Larry White, and Jill Clark assisted with imaging; the staff of Brain Innovation (Armin Heineke, Hester Braman, and Fabrizio Esposito) provided consultation and guidance on data analytic software solutions; and the editor and anonymous reviewers provided helpful comments.


Author Affiliations: Departments of Psychiatry (Drs Bush, Spencer, Shin, Valera, Seidman, Surman, Mick, and Biederman) and Neurology (Dr Makris), Harvard Medical School, Boston, Massachusetts; Psychiatric Neuroscience Division, Department of Psychiatry (Drs Bush, Shin, and Valera and Ms Holmes), Clinical and Research Program in Pediatric Psychopharmacology (Drs Bush, Spencer, Valera, Seidman, Makris, Surman, Aleardi, Mick, and Biederman), and Department of Radiology Services, Center for Morphometric Analysis (Dr Makris), Massachusetts General Hospital, Boston; MIT/HMS/MGH Athinoula A. Martinos Center for Functional and Structural Biomedical Imaging, Massachusetts Institute of Technology, Harvard Medical School, and Massachusetts General Hospital, Charlestown (Drs Bush and Valera); Department of Psychology, Tufts University, Medford, Massachusetts (Dr Shin); and Massachusetts Mental Health Center Public Psychiatry Division and Beth Israel Deaconess Medical Center, Boston (Dr Seidman).


REFERENCES
 Jump to Section
 •Top
 •Introduction
 •Methods
 •Results
 •Comment
 •Author information
 •References

1. Biederman J. Attention-deficit/hyperactivity disorder: a life-span perspective. J Clin Psychiatry. 1998;59(suppl 7):4-16.
2. Spencer TJ, Biederman J, Wilens TE, Faraone SV. Overview and neurobiology of attention-deficit/hyperactivity disorder. J Clin Psychiatry. 2002;63(suppl 12):3-9.
3. Wilens TE, Biederman J, Spencer TJ. Attention deficit/hyperactivity disorder across the lifespan. Annu Rev Med. 2002;53:113-131. FULL TEXT | ISI | PUBMED
4. Faraone SV, Biederman J. What is the prevalence of adult ADHD? results of a population screen of 966 adults. J Atten Disord. 2005;9(2):384-391. ABSTRACT
5. Biederman J, Faraone SV. Attention-deficit hyperactivity disorder. Lancet. 2005;366(9481):237-248. FULL TEXT | ISI | PUBMED
6. Mick E, Faraone SV, Biederman J. Age-dependent expression of attention-deficit/hyperactivity disorder symptoms. Psychiatr Clin North Am. 2004;27(2):215-224. FULL TEXT | ISI | PUBMED
7. Biederman J, Mick E, Surman C, Doyle R, Hammerness P, Harpold T, Dunkel S, Dougherty M, Aleardi M, Spencer T. A randomized, placebo-controlled trial of OROS methylphenidate in adults with attention-deficit/hyperactivity disorder. Biol Psychiatry. 2006;59(9):829-835. FULL TEXT | ISI | PUBMED
8. Spencer T, Biederman J, Wilens T, Faraone SV, Doyle RD, Surman C, Prince J, Mick E, Aleardi M, Herzig K. A large, double-blind, randomized clinical trial of methylphenidate in the treatment of adults with attention-deficit/hyperactivity disorder. Biol Psychiatry. 2005;57(5):456-463. FULL TEXT | ISI | PUBMED
9. Faraone SV, Spencer T, Aleardi M, Pagano C, Biederman J. Meta-analysis of the efficacy of methylphenidate for treating adult attention-deficit/hyperactivity disorder. J Clin Psychopharmacol. 2004;24(1):24-29. FULL TEXT | ISI | PUBMED
10. Biederman J. Impact of comorbidity in adults with attention-deficit/hyperactivity disorder. J Clin Psychiatry. 2004;65(suppl 3):3-7.
11. Vos T, Haby MM, Magnus A, Mihalopoulos C, Andrews G, Carter R. Assessing cost-effectiveness in mental health: helping policy-makers prioritize and plan health services. Aust N Z J Psychiatry. 2005;39(8):701-712. FULL TEXT | ISI | PUBMED
12. Secnik K, Swensen A, Lage MJ. Comorbidities and costs of adult patients diagnosed with attention-deficit hyperactivity disorder. Pharmacoeconomics. 2005;23(1):93-102. FULL TEXT | ISI | PUBMED
13. Donnelly M, Haby MM, Carter R, Andrews G, Vos T. Cost-effectiveness of dexamphetamine and methylphenidate for the treatment of childhood attention deficit hyperactivity disorder. Aust N Z J Psychiatry. 2004;38(8):592-601. FULL TEXT | ISI | PUBMED
14. Guevara J, Lozano P, Wickizer T, Mell L, Gephart H. Utilization and cost of health care services for children with attention-deficit/hyperactivity disorder. Pediatrics. 2001;108(1):71-78. FREE FULL TEXT
15. Bush G, Frazier JA, Rauch SL, Seidman LJ, Whalen PJ, Jenike MA, Rosen BR, Biederman J. Anterior cingulate cortex dysfunction in attention-deficit/hyperactivity disorder revealed by fMRI and the Counting Stroop. Biol Psychiatry. 1999;45(12):1542-1552. FULL TEXT | ISI | PUBMED
16. Bush G, Valera EM, Seidman LJ. Functional neuroimaging of attention-deficit/hyperactivity disorder: a review and suggested future directions. Biol Psychiatry. 2005;57(11):1273-1284. FULL TEXT | ISI | PUBMED
17. Zametkin AJ, Nordahl TE, Gross M, King AC, Semple WE, Rumsey J, Hamburger S, Cohen RM. Cerebral glucose metabolism in adults with hyperactivity of childhood onset. N Engl J Med. 1990;323(20):1361-1366. ABSTRACT
18. Durston S, Tottenham NT, Thomas KM, Davidson MC, Eigsti IM, Yang Y, Ulug AM, Casey BJ. Differential patterns of striatal activation in young children with and without ADHD. Biol Psychiatry. 2003;53(10):871-878. FULL TEXT | ISI | PUBMED
19. Tamm L, Menon V, Ringel J, Reiss AL. Event-related FMRI evidence of frontotemporal involvement in aberrant response inhibition and task switching in attention-deficit/hyperactivity disorder. J Am Acad Child Adolesc Psychiatry. 2004;43(11):1430-1440. FULL TEXT | ISI | PUBMED
20. Rubia K, Overmeyer S, Taylor E, Brammer M, Williams SC, Simmons A, Bullmore ET. Hypofrontality in attention deficit hyperactivity disorder during higher-order motor control: a study with functional MRI. Am J Psychiatry. 1999;156(6):891-896. FREE FULL TEXT
21. Konrad K, Neufang S, Hanisch C, Fink GR, Herpertz-Dahlmann B. Dysfunctional attentional networks in children with attention deficit/hyperactivity disorder: evidence from an event-related functional magnetic resonance imaging study. Biol Psychiatry. 2006;59(7):643-651. FULL TEXT | ISI | PUBMED
22. Pliszka SR, Glahn DC, Semrud-Clikeman M, Franklin C, Perez R III, Xiong J, Liotti M. Neuroimaging of inhibitory control areas in children with attention deficit hyperactivity disorder who were treatment naive or in long-term treatment. Am J Psychiatry. 2006;163(6):1052-1060. FREE FULL TEXT
23. Ernst M, Kimes AS, London ED, Matochik JA, Eldreth D, Tata S, Contoreggi C, Leff M, Bolla K. Neural substrates of decision making in adults with attention deficit hyperactivity disorder. Am J Psychiatry. 2003;160(6):1061-1070. FREE FULL TEXT
24. Makris N, Biederman J, Valera EM, Bush G, Kaiser J, Kennedy DN, Caviness VS, Faraone SV, Seidman LJ. Cortical thinning of the attention and executive function networks in adults with attention-deficit/hyperactivity disorder. Cereb Cortex. 2007;17(6):1364-1375. FREE FULL TEXT
25. Seidman LJ, Valera EM, Makris N, Monuteaux MC, Boriel DL, Kelkar K, Kennedy DN, Caviness VS, Bush G, Aleardi M, Faraone SV, Biederman J. Dorsolateral prefrontal and anterior cingulate cortex volumetric abnormalities in adults with attention-deficit/hyperactivity disorder identified by magnetic resonance imaging. Biol Psychiatry. 2006;60(10):1071-1080. FULL TEXT | ISI | PUBMED
26. Shaw P, Lerch J, Greenstein D, Sharp W, Clasen L, Evans A, Giedd J, Castellanos FX, Rapoport J. Longitudinal mapping of cortical thickness and clinical outcome in children and adolescents with attention-deficit/hyperactivity disorder. Arch Gen Psychiatry. 2006;63(5):540-549. FREE FULL TEXT
27. Seidman LJ, Valera EM, Bush G. Brain function and structure in adults with attention-deficit/hyperactivity disorder. Psychiatr Clin North Am. 2004;27(2):323-347. FULL TEXT | ISI | PUBMED
28. Durston S. A review of the biological bases of ADHD: what have we learned from imaging studies? Ment Retard Dev Disabil Res Rev. 2003;9(3):184-195. FULL TEXT | ISI | PUBMED
29. Castellanos FX. Toward a pathophysiology of attention-deficit/hyperactivity disorder. Clin Pediatr (Phila). 1997;36(7):381-393. FREE FULL TEXT
30. Castellanos FX, Acosta MT. The neuroanatomy of attention deficit/hyperactivity disorder [in Spanish]. Rev Neurol. 2004;38(suppl 1):S131-S136. PUBMED
31. Castellanos FX, Lee PP, Sharp W, Jeffries NO, Greenstein DK, Clasen LS, Blumenthal JD, James RS, Ebens CL, Walter JM, Zijdenbos A, Evans AC, Giedd JN, Rapoport JL. Developmental trajectories of brain volume abnormalities in children and adolescents with attention-deficit/hyperactivity disorder. JAMA. 2002;288(14):1740-1748. FREE FULL TEXT
32. Giedd JN, Blumenthal J, Molloy E, Castellanos FX. Brain imaging of attention deficit/hyperactivity disorder. Ann N Y Acad Sci. 2001;931:33-49. ISI | PUBMED
33. Schweitzer JB, Faber TL, Grafton ST, Tune LE, Hoffman JM, Kilts CD. Alterations in the functional anatomy of working memory in adult attention deficit hyperactivity disorder. Am J Psychiatry. 2000;157(2):278-280. FREE FULL TEXT
34. Shaywitz BA, Fletcher JM, Shaywitz SE. Attention-deficit/hyperactivity disorder. Adv Pediatr. 1997;44:331-367. PUBMED
35. Vaidya CJ, Bunge SA, Dudukovic NM, Zalecki CA, Elliott GR, Gabrieli JD. Altered neural substrates of cognitive control in childhood ADHD: evidence from functional magnetic resonance imaging. Am J Psychiatry. 2005;162(9):1605-1613. FREE FULL TEXT
36. Valera EM, Faraone SV, Biederman J, Poldrack RA, Seidman LJ. Functional neuroanatomy of working memory in adults with attention-deficit/hyperactivity disorder. Biol Psychiatry. 2005;57(5):439-447. FULL TEXT | ISI | PUBMED
37. Valera EM, Faraone SV, Murray KE, Seidman LJ. Meta-analysis of structural imaging findings in attention-deficit/hyperactivity disorder. Biol Psychiatry. 2007;61(12):1361-1369. FULL TEXT | ISI | PUBMED
38. Zametkin AJ, Rapoport JL. Neurobiology of attention deficit disorder with hyperactivity: where have we come in 50 years? J Am Acad Child Adolesc Psychiatry. 1987;26(5):676-686. ISI | PUBMED
39. Solanto MV. Dopamine dysfunction in AD/HD: integrating clinical and basic neuroscience research. Behav Brain Res. 2002;130(1-2):65-71. FULL TEXT | ISI | PUBMED
40. Swanson J, Castellanos FX, Murias M, LaHoste G, Kennedy J. Cognitive neuroscience of attention deficit hyperactivity disorder and hyperkinetic disorder. Curr Opin Neurobiol. 1998;8(2):263-271. FULL TEXT | ISI | PUBMED
41. Tamm L, Menon V, Reiss AL. Parietal attentional system aberrations during target detection in adolescents with attention deficit hyperactivity disorder: event-related fMRI evidence. Am J Psychiatry. 2006;163(6):1033-1043. FREE FULL TEXT
42. Smith AB, Taylor E, Brammer M, Toone B, Rubia K. Task-specific hypoactivation in prefrontal and temporoparietal brain regions during motor inhibition and task switching in medication-naive children and adolescents with attention deficit hyperactivity disorder. Am J Psychiatry. 2006;163(6):1044-1051. FREE FULL TEXT
43. Faraone SV, Khan SA. Candidate gene studies of attention-deficit/hyperactivity disorder. J Clin Psychiatry. 2006;67(suppl 8):13-20. PUBMED
44. Zametkin AJ, Liotta W. The neurobiology of attention-deficit/hyperactivity disorder. J Clin Psychiatry. 1998;59(suppl 7):17-23.
45. Rubia K, Smith AB, Brammer MJ, Toone B, Taylor E. Abnormal brain activation during inhibition and error detection in medication-naive adolescents with ADHD. Am J Psychiatry. 2005;162(6):1067-1075. FREE FULL TEXT
46. Dickstein SG, Bannon K, Xavier Castellanos F, Milham MP. The neural correlates of attention deficit hyperactivity disorder: an ALE meta-analysis. J Child Psychol Psychiatry. 2006;47(10):1051-1062. FULL TEXT | ISI | PUBMED
47. Perlov E, Philipsen A, Hesslinger B, Buechert M, Ahrendts J, Feige B, Bubl E, Hennig J, Ebert D, Tebartz van Elst L. Reduced cingulate glutamate/glutamine-to-creatine ratios in adult patients with attention deficit/hyperactivity disorder: a magnet resonance spectroscopy study. J Psychiatr Res. 2007;41(11):934-941. FULL TEXT | ISI | PUBMED
48. Bush G. Dorsal anterior midcingulate cortex: roles in normal cognition and disruption in attention-deficit/hyperactivity disorder. In: Vogt BA, ed. Cingulate Neurobiology and Disease. New York, NY: Oxford University Press. In press.
49. Bush G, Luu P, Posner MI. Cognitive and emotional influences in anterior cingulate cortex. Trends Cogn Sci. 2000;4(6):215-222. FULL TEXT | ISI | PUBMED
50. Bush G, Vogt BA, Holmes J, Dale AM, Greve D, Jenike MA, Rosen BR. Dorsal anterior cingulate cortex: a role in reward-based decision making. Proc Natl Acad Sci U S A. 2002;99(1):523-528. FREE FULL TEXT
51. Williams ZM, Bush G, Rauch SL, Cosgrove GR, Eskandar EN. Human anterior cingulate neurons and the integration of monetary reward with motor responses. Nat Neurosci. 2004;7(12):1370-1375. FULL TEXT | ISI | PUBMED
52. Shima K, Tanji J. Role for cingulate motor area cells in voluntary movement selection based on reward. Science. 1998;282(5392):1335-1338. FREE FULL TEXT
53. Paus T. Primate anterior cingulate cortex: where motor control, drive and cognition interface. Nat Rev Neurosci. 2001;2(6):417-424. FULL TEXT | ISI | PUBMED
54. Vaidya CJ, Austin G, Kirkorian G, Ridlehuber HW, Desmond JE, Glover GH, Gabrieli JD. Selective effects of methylphenidate in attention deficit hyperactivity disorder: a functional magnetic resonance study. Proc Natl Acad Sci U S A. 1998;95(24):14494-14499. FREE FULL TEXT
55. Anderson CM, Polcari A, Lowen SB, Renshaw PF, Teicher MH. Effects of methylphenidate on functional magnetic resonance relaxometry of the cerebellar vermis in boys with ADHD. Am J Psychiatry. 2002;159(8):1322-1328. FREE FULL TEXT
56. Kim BN, Lee JS, Cho SC, Lee DS. Methylphenidate increased regional cerebral blood flow in subjects with attention deficit/hyperactivity disorder. Yonsei Med J. 2001;42(1):19-29. ISI | PUBMED
57. Langleben DD, Acton PD, Austin G, Elman I, Krikorian G, Monterosso JR, Portnoy O, Ridlehuber HW, Strauss HW. Effects of methylphenidate discontinuation on cerebral blood flow in prepubescent boys with attention deficit hyperactivity disorder. J Nucl Med. 2002;43(12):1624-1629. FREE FULL TEXT
58. Matochik JA, Liebenauer LL, King AC, Szymanski HV, Cohen RM, Zametkin AJ. Cerebral glucose metabolism in adults with attention deficit hyperactivity disorder after chronic stimulant treatment. Am J Psychiatry. 1994;151(5):658-664. FREE FULL TEXT
59. Matochik JA, Nordahl TE, Gross M, Semple WE, King AC, Cohen RM, Zametkin AJ. Effects of acute stimulant medication on cerebral metabolism in adults with hyperactivity. Neuropsychopharmacology. 1993;8(4):377-386. ISI | PUBMED
60. Rao SM, Salmeron BJ, Durgerian S, Janowiak JA, Fischer M, Risinger RC, Conant LL, Stein EA. Effects of methylphenidate on functional MRI blood-oxygen-level-dependent contrast. Am J Psychiatry. 2000;157(10):1697-1699. FREE FULL TEXT
61. Schweitzer JB, Lee DO, Hanford RB, Tagamets MA, Hoffman JM, Grafton ST, Kilts CD. A positron emission tomography study of methylphenidate in adults with ADHD: alterations in resting blood flow and predicting treatment response. Neuropsychopharmacology. 2003;28(5):967-973. ISI | PUBMED
62. Shafritz KM, Marchione KE, Gore JC, Shaywitz SE, Shaywitz BA. The effects of methylphenidate on neural systems of attention in attention deficit hyperactivity disorder. Am J Psychiatry. 2004;161(11):1990-1997. FREE FULL TEXT
63. Solanto MV. Neuropsychopharmacological mechanisms of stimulant drug action in attention-deficit hyperactivity disorder: a review and integration. Behav Brain Res. 1998;94(1):127-152. FULL TEXT | ISI | PUBMED
64. Szobot CM, Ketzer C, Cunha RD, Parente MA, Langleben DD, Acton PD, Kapczinski F, Rohde LA. The acute effect of methylphenidate on cerebral blood flow in boys with attention-deficit/hyperactivity disorder. Eur J Nucl Med Mol Imaging. 2003;30(3):423-426. ISI | PUBMED
65. Swanson JM, Volkow ND. Serum and brain concentrations of methylphenidate: implications for use and abuse. Neurosci Biobehav Rev. 2003;27(7):615-621. FULL TEXT | ISI | PUBMED
66. Volkow ND, Fowler JS, Wang G, Ding Y, Gatley SJ. Mechanism of action of methylphenidate: insights from PET imaging studies. J Atten Disord. 2002;6(suppl 1):S31-S43. PUBMED
67. Volkow ND, Wang GJ, Fowler JS, Logan J, Franceschi D, Maynard L, Ding YS, Gatley SJ, Gifford A, Zhu W, Swanson JM. Relationship between blockade of dopamine transporters by oral methylphenidate and the increases in extracellular dopamine: therapeutic implications. Synapse. 2002;43(3):181-187. FULL TEXT | ISI | PUBMED
68. Madras BK, Xie Z, Lin Z, Jassen AJ, Panas H, Lynch L, Johnson RS, Livni E, Spencer TJ, Bonab AA, Miller GM, Fischman AJ. Modafinil occupies dopamine and norepinephrine transporters in vivo and modulates the transporters and trace amine activity in vitro. J Pharmacol Exp Ther. 2006;319(2):561-569. FREE FULL TEXT
69. Spencer TJ, Biederman J, Madras BK, Faraone SV, Dougherty DD, Bonab AA, Fischman AJ. In vivo neuroreceptor imaging in attention-deficit/hyperactivity disorder: a focus on the dopamine transporter. Biol Psychiatry. 2005;57(11):1293-1300. FULL TEXT | ISI | PUBMED
70. Dougherty DD, Bonab AA, Spencer TJ, Rauch SL, Madras BK, Fischman AJ. Dopamine transporter density in patients with attention deficit hyperactivity disorder. Lancet. 1999;354(9196):2132-2133. FULL TEXT | ISI | PUBMED
71. Spencer TJ, Biederman J, Ciccone PE, Madras BK, Dougherty DD, Bonab AA, Livni E, Parasrampuria DA, Fischman AJ. PET study examining pharmacokinetics, detection and likeability, and dopamine transporter receptor occupancy of short- and long-acting oral methylphenidate. Am J Psychiatry. 2006;163(3):387-395. FREE FULL TEXT
72. Volkow ND, Wang GJ, Fowler JS, Ding YS. Imaging the effects of methylphenidate on brain dopamine: new model on its therapeutic actions for attention-deficit/hyperactivity disorder. Biol Psychiatry. 2005;57(11):1410-1415. FULL TEXT | ISI | PUBMED
73. Biederman J, Spencer T. Attention-deficit/hyperactivity disorder (ADHD) as a noradrenergic disorder. Biol Psychiatry. 1999;46(9):1234-1242. FULL TEXT | ISI | PUBMED
74. Dresel S, Krause J, Krause KH, LaFougere C, Brinkbaumer K, Kung HF, Hahn K, Tatsch K. Attention deficit hyperactivity disorder: binding of [99mTc]TRODAT-1 to the dopamine transporter before and after methylphenidate treatment. Eur J Nucl Med. 2000;27(10):1518-1524. FULL TEXT | ISI | PUBMED
75. la Fougère C, Krause J, Krause KH, Josef Gildehaus F, Hacker M, Koch W, Hahn K, Tatsch K, Dresel S. Value of 99mTc-TRODAT-1 SPECT to predict clinical response to methylphenidate treatment in adults with attention deficit hyperactivity disorder. Nucl Med Commun. 2006;27(9):733-737. FULL TEXT | ISI | PUBMED
76. Krause J, Dresel SH, Krause KH, La Fougere C, Zill P, Ackenheil M. Striatal dopamine transporter availability and DAT-1 gene in adults with ADHD: no higher DAT availability in patients with homozygosity for the 10-repeat allele. World J Biol Psychiatry. 2006;7(3):152-157. FULL TEXT | ISI | PUBMED
77. Krause J, la Fougere C, Krause KH, Ackenheil M, Dresel SH. Influence of striatal dopamine transporter availability on the response to methylphenidate in adult patients with ADHD. Eur Arch Psychiatry Clin Neurosci. 2005;255(6):428-431. FULL TEXT | ISI | PUBMED
78. Madras BK, Miller GM, Fischman AJ. The dopamine transporter and attention-deficit/hyperactivity disorder. Biol Psychiatry. 2005;57(11):1397-1409. FULL TEXT | ISI | PUBMED
79. Stein MA, Waldman ID, Sarampote CS, Seymour KE, Robb AS, Conlon C, Kim SJ, Cook EH. Dopamine transporter genotype and methylphenidate dose response in children with ADHD. Neuropsychopharmacology. 2005;30(7):1374-1382. ISI | PUBMED
80. Ernst M, Zametkin AJ, Matochik JA, Pascualvaca D, Jons PH, Cohen RM. High midbrain [18F]DOPA accumulation in children with attention deficit hyperactivity disorder. Am J Psychiatry. 1999;156(8):1209-1215. FREE FULL TEXT
81. Ernst M, Zametkin AJ, Matochik JA, Jons PH, Cohen RM. DOPA decarboxylase activity in attention deficit hyperactivity disorder adults: a [fluorine-18]fluorodopa positron emission tomographic study. J Neurosci. 1998;18(15):5901-5907. FREE FULL TEXT
82. Ernst M, Zametkin AJ, Matochik JA, Liebenauer L, Fitzgerald GA, Cohen RM. Effects of intravenous dextroamphetamine on brain metabolism in adults with attention-deficit hyperactivity disorder (ADHD): preliminary findings. Psychopharmacol Bull. 1994;30(2):219-225. ISI | PUBMED
83. Zang YF, Jin Z, Weng XC, Zhang L, Zeng YW, Yang L, Wang YF, Seidman LJ, Faraone SV. Functional MRI in attention-deficit hyperactivity disorder: evidence for hypofrontality. Brain Dev. 2005;27(8):544-550. FULL TEXT | ISI | PUBMED
84. Volkow ND, Wang GJ, Newcorn J, Fowler JS, Telang F, Solanto MV, Logan J, Wong C, Ma Y, Swanson JM, Schulz K, Pradhan K. Brain dopamine transporter levels in treatment and drug naive adults with ADHD. Neuroimage. 2007;34(3):1182-1190. FULL TEXT | ISI | PUBMED
85. Swanson JM, Kinsbourne M, Nigg J, Lanphear B, Stefanatos GA, Volkow N, Taylor E, Casey BJ, Castellanos FX, Wadhwa PD. Etiologic subtypes of attention-deficit/hyperactivity disorder: brain imaging, molecular genetic and environmental factors and the dopamine hypothesis. Neuropsychol Rev. 2007;17(1):39-59. FULL TEXT | ISI | PUBMED
86. Arnsten AF. Stimulants: therapeutic actions in ADHD. Neuropsychopharmacology. 2006;31(11):2376-2383. FULL TEXT | ISI | PUBMED
87. Bush G, Shin LM. The Multi-Source Interference Task: an fMRI task that reliably activates the cingulo-frontal-parietal cognitive/attention network in individual subjects. Nat Protoc. 2006;1(1):308-313. PUBMED
88. Bush G, Shin LM, Holmes J, Rosen BR, Vogt BA. The Multi-Source Interference Task: validation study with fMRI in individual subjects. Mol Psychiatry. 2003;8(1):60-70. FULL TEXT | ISI | PUBMED
89. Talairach J, Tournoux P. Co-planar Stereotaxic Atlas of the Human Brain. Stuttgart, Germany: Thieme Medical Publishers; 1988.
90. O'Craven KM, Downing PE, Kanwisher N. fMRI evidence for objects as the units of attentional selection. Nature. 1999;401(6753):584-587. FULL TEXT | PUBMED
91. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 4th ed. Washington, DC: American Psychiatric Press; 1994.
92. First MB, Spitzer RL, Gibbon M, Williams JBW. Structured Clinical Interview for DSM-IV Axis I Disorders–Clinician Version (SCID-CV). Washington, DC: American Psychiatric Press; 1997.
93. Orvaschel H. Schedule for Affective Disorders and Schizophrenia for School-Age Children—Epidemiologic Version. 5th ed. Ft Lauderdale, FL: Nova Southeastern University Center for Psychological Studies; 1994.
94. Wechsler D. Manual for the Wechsler Adult Intelligence Scale, Revised. San Antonio, TX: Psychological Corp; 1981.
95. Spencer TJ, Adler L. Diagnostic approaches to adult ADHD. Prim Psychiatry. 2004;11:49-56.
96. NIMH. Clinical Global Impression Scale. Psychopharmacol Bull. 1985;21:839-844. ISI
97. Forman SD, Cohen JD, Fitzgerald M, Eddy WF, Mintun MA, Noll DC. Improved assessment of significant activation in functional magnetic resonance imaging (fMRI): use of a cluster-size threshold. Magn Reson Med. 1995;33(5):636-647. ISI | PUBMED
98. Schweimer J, Hauber W. Dopamine D1 receptors in the anterior cingulate cortex regulate effort-based decision making. Learn Mem. 2006;13(6):777-782. FREE FULL TEXT
99. Chen YC, Galpern WR, Brownell AL, Matthews RT, Bogdanov M, Isacson O, Keltner JR, Beal MF, Rosen BR, Jenkins BG. Detection of dopaminergic neurotransmitter activity using pharmacologic MRI: correlation with PET, microdialysis, and behavioral data. Magn Reson Med. 1997;38(3):389-398. ISI | PUBMED
100. Ullsperger M, von Cramon DY. Error monitoring using external feedback: specific roles of the habenular complex, the reward system, and the cingulate motor area revealed by functional magnetic resonance imaging. J Neurosci. 2003;23(10):4308-4314. FREE FULL TEXT
101. Kennerley SW, Walton ME, Behrens TE, Buckley MJ, Rushworth MF. Optimal decision making and the anterior cingulate cortex. Nat Neurosci. 2006;9(7):940-947. FULL TEXT | PUBMED
102. Walton ME, Bannerman DM, Rushworth MF. The role of rat medial frontal cortex in effort-based decision making. J Neurosci. 2002;22(24):10996-11003. FREE FULL TEXT
103. Goldman-Rakic PS. Topography of cognition: parallel distributed networks in primate association cortex. Annu Rev Neurosci. 1988;11:137-156. FULL TEXT | ISI | PUBMED
104. Posner MI, Petersen SE. The attention system of the human brain. Annu Rev Neurosci. 1990;13:25-42. FULL TEXT | ISI | PUBMED
105. Duncan J, Owen AM. Common regions of the human frontal lobe recruited by diverse cognitive demands. Trends Neurosci. 2000;23(10):475-483. FULL TEXT | ISI | PUBMED
106. Banich MT, Milham MP, Atchley R, Cohen NJ, Webb A, Wszalek T, Kramer AF, Liang ZP, Wright A, Shenker J, Magin R. fMRI studies of Stroop tasks reveal unique roles of anterior and posterior brain systems in attentional selection. J Cogn Neurosci. 2000;12(6):988-1000. FULL TEXT | ISI | PUBMED
107. Schubotz RI, von Cramon DY. Functional organization of the lateral premotor cortex: fMRI reveals different regions activated by anticipation of object properties, location and speed. Brain Res Cogn Brain Res. 2001;11(1):97-112. FULL TEXT | PUBMED
108. Corbetta M, Kincade JM, Ollinger JM, McAvoy MP, Shulman GL. Voluntary orienting is dissociated from target detection in human posterior parietal cortex. Nat Neurosci. 2000;3(3):292-297. FULL TEXT | ISI | PUBMED
109. Rushworth MF, Paus T, Sipila PK. Attention systems and the organization of the human parietal cortex. J Neurosci. 2001;21(14):5262-5271. FREE FULL TEXT
110. Bush G, Whalen PJ, Rosen BR, Jenike MA, McInerney SC, Rauch SL. The counting Stroop: an interference task specialized for functional neuroimaging: validation study with functional MRI. Hum Brain Mapp. 1998;6(4):270-282. FULL TEXT | ISI | PUBMED
111. Carter CS, Mintun M, Cohen JD. Interference and facilitation effects during selective attention. Neuroimage. 1995;2(4):264-272. FULL TEXT | ISI | PUBMED
112. George MS, Ketter TA, Parekh PI, Rosinsky N, Ring H, Casey BJ, Trimble MR, Horwitz B, Herscovitch P, Post RM. Regional brain activity when selecting a response despite interference. Hum Brain Mapp. 1994;1:194-209. FULL TEXT
113. Schulz KP, Fan J, Tang CY, Newcorn JH, Buchsbaum MS, Cheung AM, Halperin JM. Response inhibition in adolescents diagnosed with attention deficit hyperactivity disorder during childhood: an event-related FMRI study. Am J Psychiatry. 2004;161(9):1650-1657. FREE FULL TEXT
114. Fornito A, Whittle S, Wood SJ, Velakoulis D, Pantelis C, Yücel M. The influence of sulcal variability on morphometry of the human anterior cingulate and paracingulate cortex. Neuroimage. 2006;33(3):843-854. FULL TEXT | ISI | PUBMED
115. Fornito A, Yucel M, Wood S, Stuart GW, Buchanan JA, Proffitt T, Anderson V, Velakoulis D, Pantelis C. Individual differences in anterior cingulate/paracingulate morphology are related to executive functions in healthy males. Cereb Cortex. 2004;14(4):424-431. FREE FULL TEXT
116. Yücel M, Brewer WJ, Harrison BJ, Fornito A, O'Keefe GJ, Olver J, Scott AM, Egan GF, Velakoulis D, McGorry PD, Pantelis C. Anterior cingulate activation in antipsychotic-naive first-episode schizophrenia. Acta Psychiatr Scand. 2007;115(2):155-158. FULL TEXT | ISI | PUBMED
117. Yücel M, Lubman DI, Harrison BJ, Fornito A, Allen NB, Wellard RM, Roffel K, Clarke K, Wood SJ, Forman SD, Pantelis C. A combined spectroscopic and functional MRI investigation of the dorsal anterior cingulate region in opiate addiction. Mol Psychiatry. 2007;12(7):611, 691-702.
118. Yücel M, Stuart GW, Maruff P, Velakoulis D, Crowe SF, Savage G, Pantelis C. Hemispheric and gender-related differences in the gross morphology of the anterior cingulate/paracingulate cortex in normal volunteers: an MRI morphometric study. Cereb Cortex. 2001;11(1):17-25. FREE FULL TEXT
119. Levin JM, Ross MH, Mendelson JH, Mello NK, Cohen BM, Renshaw PF. Sex differences in blood-oxygenation-level-dependent functional MRI with primary visual stimulation. Am J Psychiatry. 1998;155(3):434-436. FREE FULL TEXT
120. Hedera P, Wu D, Collins S, Lewin JS, Miller D, Lerner AJ, Klein S, Friedland RP. Sex and electroencephalographic synchronization after photic stimulation predict signal changes in the visual cortex on functional MR images. AJNR Am J Neuroradiol. 1998;19(5):853-857. ABSTRACT
121. Kastrup A, Li TQ, Glover GH, Kruger G, Moseley ME. Gender differences in cerebral blood flow and oxygenation response during focal physiologic neural activity. J Cereb Blood Flow Metab. 1999;19(10):1066-1071. FULL TEXT | ISI | PUBMED
122. Gur RE, Gur RC. Gender differences in regional cerebral blood flow. Schizophr Bull. 1990;16(2):247-254. FREE FULL TEXT
123. Gur RC, Gur RE, Obrist WD, Hungerbuhler JP, Younkin D, Rosen AD, Skolnick BE, Reivich M. Sex and handedness differences in cerebral blood flow during rest and cognitive activity. Science. 1982;217(4560):659-661. FREE FULL TEXT
124. Rodriguez G, Coppola R, De Carli F, Francione S, Marenco S, Nobili F, Risberg J, Rosadini G, Warkentin S. Regional cerebral blood flow asymmetries in a group of 189 normal subjects at rest. Brain Topogr. 1991;4(1):57-63. FULL TEXT | PUBMED
125. Rodriguez G, Warkentin S, Risberg J, Rosadini G. Sex differences in regional cerebral blood flow. J Cereb Blood Flow Metab. 1988;8(6):783-789. ISI | PUBMED
126. Biederman J, Faraone SV, Monuteaux MC, Bober M, Cadogen E. Gender effects on attention-deficit/hyperactivity disorder in adults, revisited. Biol Psychiatry. 2004;55(7):692-700. FULL TEXT | ISI | PUBMED


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter     What's this?

THIS ARTICLE HAS BEEN CITED BY OTHER ARTICLES

An fMRI Study of the Effects of Psychostimulants on Default-Mode Processing During Stroop Task Performance in Youths With ADHD
Peterson et al.
Am. J. Psychiatry 2009;166:1286-1294.
ABSTRACT | FULL TEXT  

Resting Metabolic Activity in the Cingulate Cortex and Vulnerability to Posttraumatic Stress Disorder
Shin et al.
Arch Gen Psychiatry 2009;66:1099-1107.
ABSTRACT | FULL TEXT  

Impulsiveness as a timing disturbance: neurocognitive abnormalities in attention-deficit hyperactivity disorder during temporal processes and normalization with methylphenidate
Rubia et al.
Phil Trans R Soc B 2009;364:1919-1931.
ABSTRACT | FULL TEXT  





HOME | CURRENT ISSUE | PAST ISSUES | TOPIC COLLECTIONS | SUBMIT | SUBSCRIBE | HELP
CONDITIONS OF USE | PRIVACY POLICY | CONTACT US | SITE MAP
 
© 2008 American Medical Association. All Rights Reserved.