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Minor Physical Anomalies and Quantitative Measures of the Head and Face in Patients With Psychosis
John McGrath, MBBS, PhD, FRANZCP;
Ossama El-Saadi, MD, MPH;
Vivian Grim, MD;
Sue Cardy, RPN;
Ben Chapple, BA;
David Chant, PhD;
Daniel Lieberman, PhD;
Bryan Mowry, MBBS, MD, FRANZCP
Arch Gen Psychiatry. 2002;59:458-464.
ABSTRACT
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Background The aim of this study was to examine minor physical anomalies and quantitative
measures of the head and face in patients with psychosis vs healthy controls.
Methods Based on a comprehensive prevalence study of psychosis, we recruited
310 individuals with psychosis and 303 controls. From this sample, we matched
180 case-control pairs for age and sex. Individual minor physical anomalies
and quantitative measures related to head size and facial height and depth
were compared within the matched pairs. Based on all subjects, we examined
the specificity of the findings by comparing craniofacial summary scores in
patients with nonaffective or affective psychosis and controls.
Results The odds of having a psychotic disorder were increased in those with
wider skull bases (odds ratio [OR], 1.40; 95% confidence interval [CI], 1.02-1.17),
smaller lower-facial heights (glabella to subnasal) (OR, 0.57; 95% CI, 0.44-0.75),
protruding ears (OR, 1.72; 95% CI, 1.05-2.82), and shorter (OR, 2.29; 95%
CI, 1.37-3.82) and wider (OR, 2.28; 95% CI, 1.43-3.65) palates. Compared with
controls, those with psychotic disorder had skulls that were more brachycephalic.
These differences were found to distinguish patients with nonaffective and
affective psychoses from controls.
Conclusions Several of the features that differentiate patients from controls relate
to the development of the neuro-basicranial complex and the adjacent temporal
and frontal lobes. Future research should examine both the temporal lobe and
the middle cranial fossa to reconcile our anthropomorphic findings and the
literature showing smaller temporal lobes in patients with schizophrenia.
Closer attention to the skull base may provide clues to the nature and timing
of altered brain development in patients with psychosis.
INTRODUCTION
MINOR PHYSICAL anomalies (MPAs) are subtle variations in soft tissue,
cartilaginous, and bony structures that are the result of an uncertain mix
of genetic and environmental factors operating prenatally. Studies have examined
MPAs in various disorders in order to provide clues about the nature and timing
of risk factors for the disorder. There is now robust evidence that patients
with schizophrenia have more MPAs compared with controls.1-8
In particular, studies have suggested that MPAs involving the head and face
best discriminate patients with schizophrenia from controls.9-10
Lane et al3 made an important contribution
to the field when they included quantitative anthropomorphic measures in their
study of 174 patients with schizophrenia and 80 controls. They reported an
overall elongation of the middle and lower face, widening of the skull base,
and a concentration of MPAs involving the eyes, ears, and mouth in the patient
group.
We examined craniofacial measurements in a large epidemiologically derived
sample of patients with psychosis and used this sample to explore issues related
to diagnostic specificity. The primary aim of this study was to examine the
prevalence of selected MPAs and quantitative measures of the head and face
in patients with psychosis vs healthy controls. Based on the literature,3 we predicted that patients with psychosis would have
a pattern of craniofacial abnormalities characterized by wider skull bases
and shorter lower-facial heights. We also predicted that the patients with
psychosis would have more qualitative abnormalities involving the eyes, ears,
and palate compared with controls. The secondary aim of the study was to explore
the specificity of the pattern of craniofacial abnormalities in patients with
nonaffective or affective psychosis and controls. Based on the literature,4 we predicted that patients with nonaffective and affective
psychoses would have more dysmorphogenesis than controls.
PARTICIPANTS AND METHODS
Individuals with psychosis were drawn from 1 of the 4 catchment areas
in the recent Australian national prevalence study of psychosis (Queensland
segment of the National Survey of Mental Health and Wellbeing: Study on Low-Prevalence
[Psychotic] Disorders).11-12 Within
an area of southeast Queensland (eligible population, 581 332), we undertook
a 1-month census at a wide range of sites to identify persons aged 18 to 64
years who were in contact with mental health services in the area and who
met the screening criteria for psychotic disorders. During the census month
(June 1997), a total of 2180 individuals were screened for symptoms of psychosis
using the Psychosis Screen.11 This instrument,
derived from psychosis screening items of the Composite International Diagnostic
Interview13 and the Psychosis Screening Instrument
Questionnaire,14 is a 6-item screen inquiring
about the occurrence of specific psychotic symptoms currently or at any time
in the past. The screen includes an item for raters to record their judgments
about whether psychotic symptoms are present. Of the 2180 individuals screened,
1513 were screen positive. Over an 18-month period, we approached a random
selection of the screen positive individuals to recruit 310 patients with
psychosis for participation in the present study. Concerning the representativeness
of the final 310 subjects, there were no significant differences in age (t1511 = -1.31; P
= .20) or sex ( 21 = 1.7; P
= .19) between this group and the remaining 1203 screen positive individuals.
The healthy control subjects were drawn from the same catchment area via advertisements
in local newspapers. All subjects included in this study provided written,
informed consent, and the study was approved by the Wolston Park Hospital
Institutional Ethics Committee, Wacol, Australia.
DIAGNOSTIC ASSESSMENT
Assessments were carried out in the subjects' homes or in community
health clinics. Both patients and controls were assessed with the Diagnostic
Interview for Psychosis,11 which is a modified
version of the Schedules for Clinical Assessment in Neuropsychiatry.15 The raters (clinical psychologists and experienced
research nurses) attended national training programs on the use of the Diagnostic
Interview for Psychosis and participated in interrater reliability exercises
as part of the national study (agreement on diagnosis weighted = 0.60; P<.01). Controls' status or patients' diagnoses were
confirmed with the Operational Criteria for Psychosis, a 90-item checklist
linked to a computer diagnostic algorithm.16
The DSM-III-R diagnoses17
were divided into nonaffective psychosis (schizophrenia, schizophreniform
psychosis, delusional disorder, and atypical psychosis) and affective psychosis
(bipolar disorder and mania with psychosis, depression with psychotic features,
and schizoaffective psychosis).
CRANIOFACIAL MEASURES AND MPAs
Symmetrical features were recorded for both right and left sides. If
right-left differences were detected for the facial depths, we report the
larger of the 2 sides. The qualitative items and the variants scored in this
study included hair whorls (position, number, and direction), epicanthus,
supraorbital ridge, ears (low-set, protrusion, hypoplasia, earlobe attachment,
asymmetry, and helix width), and mouth (palate height and shape, palate ridges,
and bifid tongue). For each qualitative item, the most prevalent variant in
the control group was allocated a weight of "0," and all other variants were
allocated "1" (Table 1). These
weights were used to generate a total score from the sum of all qualitative
items (MPA total score range, 0-24).
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Table 1. Qualitative MPAs for 310 Patients With Psychosis, 303 Controls,
and 180 Matched Pairs*
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Head circumference was measured with a cloth tape measure wrapped around
the glabella and the opisthocranion, with the tape firmly placed against the
skull to minimize the influence of hair. All other quantitative measures were
assessed with spreading calipers according to the landmarks defined by standard
anthropomorphic guidelines.18-19
To optimize reliability, we selected measures with reliable landmarks, and,
for the vertical midline facial distances, we measured larger overlapping
distances rather than adjacent smaller distances.20
Quantitative measurements were rounded to the nearest 0.5 cm. Apart from head
width at the level of the skull base (tragus-tragus, henceforth referred to
as "skull width") and maximum head length (glabella-opisthocranion, henceforth
referred to as "skull length"), we measured 5 facial heights (superio-inferior
dimensions: glabella-subnasal, glabella-stomion, glabella-gnathion, glabella-trichion,
and gnathion-nasion) and 3 facial depths (anteroposterior dimensions: tragus-subnasal,
tragus-gnathion, and tragus-trichion). The location of these points is displayed
in Figure 1.
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Landmarks used in quantitative craniofacial measurement. Skull length
was measured from the glabella to the opisthocranion, which is a point in
the occipital region that defines the most distant point from the glabella
in the line of greatest head length.
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The variables were assessed by 7 research assistants who participated
in a standardized training program. Raters worked in pairs, with one rater
undertaking the assessment or measurement while the other rater checked and
recorded the measurements. Based on a panel of 8 subjects (healthy controls
not included in the present study; 4 men and 4 women; age range, 21-55 years),
the intraclass correlation coefficient for the quantitative variables ranged
from 0.71 (tragus-trichion) to 0.93 (tragus-gnathion). The intraclass correlation
coefficient for the MPA total score was 0.72.
DATA ANALYSIS
To best characterize the pattern of any potential dysmorphogenesis in
patients with psychosis, we compared each of the qualitative and quantitative
items in carefully matched pairs (patients with psychosis vs controls). Ethnicity,
age, and sex are known to be associated with anthropomorphic measures.21 To reduce the influence of ethnic variability in
the matched pairs, we selected white subjects who were born (and who were
offspring of parents born) in Australia, New Zealand, the United Kingdom,
Europe, and North America. In addition, those subjects who were adopted or
who were of Aboriginal/Torres Strait origin were excluded from the matched
pairs. We used procedures within SAS statistical software (SAS Institute Inc,
Cary, NC) to match as many patients with psychosis as possible with controls
based on sex and age (±5 years). When more than 1 control was available
for matching to a case, the final match was randomly selected from the pool.
To optimize the power to detect subgroup differences, we included all
subjects in the assessment of diagnostic specificity. Summary scores were
generated from the individual qualitative and quantitative items to reduce
the number of comparisons. Ratios related to "skull width divided by skull
length" are often used to characterize skull shape as brachycephalic (wider,
shorter skulls) and dolichocephalic (narrower, longer skulls).22
In this study, we examined the ratio of skull base width to the maximum skull
length (henceforth referred to as width/length ratio). Principal component
analysis was undertaken on all quantitative variables. The resultant components,
the total MPA score, and the width/length ratio were examined in the secondary
group comparisons. We examined 4 planned comparisons (all patients with psychosis
vs controls, patients with nonaffective psychosis vs controls, patients with
affective psychosis vs controls, and patients with nonaffective psychosis
vs patients with affective psychosis) in the entire sample (corrected for
age and sex). Statistical tests used an level of .05, and tests were
2-tailed.
RESULTS
The overall study included 310 individuals with psychosis and 303 controls.
There were no significant group differences between cases and controls on
age (mean [SD], 40.09 [11.93] and 40.60 [13.01], respectively; t611 = 0.51; P = .61) or sex (men/women,
185/125 and 159/144, respectively; 21= 3.2; P = .07). From these subjects, we extracted a maximum of
180 patients with psychosis matched with 180 controls; 109 of the pairs were
female, and 71 were male. The mean (SD) age of these matched cases was 41.6
(12.3) years, whereas the mean for controls was 42.0 (13.1) years. The majority
of the matched cases had DSM-III-R schizophrenia
(n = 130), and other nonaffective psychotic disorders included delusional
disorder (n = 5) and atypical psychosis (n = 5). The remaining 40 patients
had affective psychoses (depression with psychosis, n = 9; bipolar disorder,
n = 21; and schizoaffective disorder, n = 10).
Based on the matched pairs, the following variables were associated
with significantly increased odds of having a psychotic condition: having
2 or more hair whorls, ear protrusion, U-shaped palate, and a short, broad
palate (Table 1). Patients with
psychotic disorders tended to have smaller lower-facial heights (mean group
differences, 0.32-0.52 cm), larger skull base width (mean group difference,
0.15 cm), and larger lower-facial depths (mean group differences, 0.21-0.44
cm) (Table 2).
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Table 2. Quantitative Measures of the Head and Face for 310 Patients
With Psychosis, 303 Controls, and 180 Matched Pairs*
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The remaining analyses are based on the entire sample. Principal component
analysis of the quantitative variables identified only 2 factors. The first
factor (eigenvalue = 4.72; 42.9% of the variance) had substantial positive
loading for every quantitative measure. This factor, henceforth referred to
as the craniofacial size factor, is often identified in similar analyses23 and usually represents general head size. The second
factor (eigenvalue = 2.01; 18.3% of the variance) had positive loadings (0.50-0.73)
for the 3 overlapping vertical midline glabella measurements and negative
loadings for skull width (-0.47), skull length (-0.34), and head
circumference (-0.30). Tragus to gnathion contributed a negative loading
(-0.45), and the other variables contributed weaker loadings of -0.28
through 0.01. This factor, henceforth referred to as the craniofacial shape
factor, identified a relationship between smaller lower facial height and
wider skull base width, larger skull length, and longer facial depth.
The 4 planned group comparisons were undertaken on the entire sample,
and each comparison was adjusted for age and sex. For all patients with psychosis
vs controls, the psychosis group had significantly higher MPA total scores
(mean [SD], 7.82 [3.05] for patients with psychosis and 7.26 [2.85] for controls;
F3,613 = 4.87; P = .03), comparable skull
size, as indicated by the craniofacial size factor (F3,561= 0.36; P = .55), wider skulls and shorter lower thirds of the
face, as indicated by the craniofacial shape factor (F3,561= 38.37; P<.001), and more brachycephalic skulls, as indicated
by larger width/length ratios (mean [SD], 0.74 [0.04] for patients with psychosis
and 0.73 [0.04] for controls; F3,609 = 17.72; P<.001).
When patients with nonaffective psychosis were compared with controls,
the nonaffective group had significantly higher MPA total scores (nonaffective
group: mean [SD], 7.88 [3.06]; F3,536 = 4.50; P = .03), comparable-sized skulls, as indicated by the craniofacial
size factor (F3,490 = 0.36; P = .55),
wider skulls and shorter lower thirds of face, as indicated by the craniofacial
shape factor (F3,490 = 30.91; P<.001),
and more brachycephalic skulls, as indicated by larger width/length ratios
(mean [SD], 0.74 [0.04]; F3,532 = 17.19; P<.001).
The affective psychosis group did not differ from the controls on MPA
total scores (affective group: mean [SD], 7.62 [3.04]; F3,380 =
1.53; P = .22) or the craniofacial size factor (F3,342= .07; P = .79). However, compared with
controls, patients with affective psychosis had wider skulls and shorter lower
thirds of the face, as indicated by the craniofacial shape factor (F3,343= 11.42; P<.001) and more brachycephalic
skulls, as indicated by larger width/length ratios (affective group: mean
[SD], 0.74 [0.03]; F3,378= 3.66; P = .05).
The final planned comparison examined patients with nonaffective vs
affective psychosis. Compared with patients with affective psychosis, the
patients with nonaffective psychosis did not differ on MPA total score (F3,310= 0.07; P = .79), craniofacial size factor
(F3,290 = 0.12; P<.73), craniofacial
shape factor (F3,290= 0.60; P = .44),
or width/length ratio (F3,308= 0.89; P
= .35).
COMMENT
Overall, patients with psychosis had significantly more MPAs compared
with controls. Patients had palates that were shorter and broader compared
with controls. Patients also had ears that were more protruding compared with
controls. Having 2 or more hair whorls was associated with increased odds
of having a psychotic disorder. These findings are consistent with the literature.3, 24 In contrast to many previous studies
(see review8), we did not find that patients
with psychosis had V-shaped palates. On the contrary, our patients had more
U-shaped palates, a finding that is consistent with our other findings indicating
that patients with psychosis tended to have wider, shorter palates. Post hoc
analysis confirmed that the 89 individuals with V-shaped palates had significantly
narrower, higher palates compared with those with U-shaped palates (data not
shown). Differences in the prevalence of particular MPAs in patients with
psychosis between nations may provide clues to the differential role of ethnic
and regionally specific environmental factors in the origin of these anomalies.
As a group, patients with psychosis had significantly wider skull bases
and shorter lower facial heights. Measurements related to lower facial depth
were also longer in the patient group. The differences identified in the matched-pair
analyses were also identified in the comparisons based on the principal component
analysis of the quantitative measures. The findings are in agreement with
those of Lane et al.3 This relationship in
craniofacial development (ie, the association between wider skull base and
shorter lower facial heights) has also been noted in research on the evolution
of variation in human skull form.25-29
A major constraint believed to influence many aspects of craniofacial growth
is the neuro-basicranial complex.29 The neuro-basicranial
complex is a highly integrated morphological unit that includes the basicranium
(which derives from the chondrocranium and ossifies endochondrally) and the
neurocranium (which ossifies intramembranously around the brain from the dura
and related membranes).
The external pinna is not derived from the chondrocranium, but from
cartilage derived from first brachial arch. The ears migrate cranially to
reach their "normal" position by the second trimester.30
Perturbations to the integrated development of the neuro-basicranial complex
and the external ear could result in protruding ears, as found in the patient
group in this study.
Both the total MPA score and the quantitative measurements were normally
distributed in both groups, and there was substantial overlap between cases
and controls for these measurements. The group differences were not due to
a subgroup of patients with very deviant measures, a finding similar to that
reported for ventricular size in schizophrenia, as measured with structural
neuroimaging.31 Both the total MPA score and
the craniofacial measures operate as continuous graded risk factors for psychosis
without a discernible critical threshold.
The results of the study confirm the findings of Lane et al3 and extend the findings by showing that patients with
affective psychosis also differ significantly from controls on features related
to the shape of the skull (ie, those with affective psychoses have wider,
more brachycephalic skulls and shortened lower thirds of the face). The nonaffective
psychosis group (mainly patients with schizophrenia) had the highest MPA total
scores, whereas the affective psychosis group's mean MPA total score fell
midway between the nonaffective and control groups. Although these comparisons
included 233 individuals with nonaffective psychosis, 77 individuals with
affective psychosis, and 303 controls (a larger sample than that available
in the matched-pair analysis), it lacked the power to confidently detect small
differences between patients with affective psychosis and controls. For the
craniofacial shape factor, both the affective and nonaffective psychosis groups
were significantly different compared with the controls.
The study has several limitations. The patients in this study were recruited
during a prevalence study of psychosis. Thus, those with chronic, persisting
types of illnesses would be overrepresented in this sample. No correction
for multiple comparisons was made. Thus, some of the findings may have emerged
by chance. The quantitative measures relied on spreading calipers that provided
measurements only to the closest 0.5 cm. The measurements were taken externally
on subjects, making it impossible to exclude the possibility that differential
thicknesses of superficial soft tissues of the skull could have contributed
to group differences. However, the pattern of findings identified in the skull
base, facial height and depth, and palate width and height is consistent with
patterns also identified in craniometric studies.25
The findings of this study suggest a coherent pattern of alterations
to the skull, facial bones, and palate in those with psychosis. Brachycephalic
individuals tend to have wider skull bases, shorter lower facial heights,
and longer facial depths. Dolichocephalic individuals tend to have narrower
skull bases, longer lower facial heights, and shorter facial depths. This
model may also relate to the findings about the palate detailed previously.
The palate grows downward and forward from the anterior part of the skull
base,26 so that individuals with wider skull
bases have a tendency to have shorter, broader palates.30
From a developmental perspective, many features of the palate are influenced
by the anterior cranial base.32 The wider skull
base identified in patients with psychosis in this study is also consistent
with the recent report of larger interorbital distance in patients with schizophrenia
vs controls.33
Recent research has shown that middle cranial fossa size and shape influence
the relationship between skull base shape (eg, width) and facial measures
(eg, midline facial heights). Because of its location in the base of the skull,
the dimensions of the middle cranial fossa are intimately linked to the width
of the skull. In addition, the midface (the ethmomaxillary complex) attaches
and grows forward from the middle cranial fossa (via the posterior maxillary
plane).25, 29-32
Variations in the shape and size of the middle cranial fossa may have predictable
quantitative effects on many of the measures that were found to differentiate
those with psychoses from controls.
The middle cranial fossa cradles the anterior portion of the temporal
lobe, an area of interest to schizophrenia research. Review articles and meta-analyses
of regional brain volumes34-35
have consistently identified a decrease in temporal lobe volumes in patients
with schizophrenia vs controls. The shape and volume of the endocranial fossa
is strongly correlated with the shape and volume of the adjacent neural structures.36-37 We speculate that the anthropomorphic
differences found in the head and face in our patients with psychosis may
be a consequence, in part, of features related to the development of the temporal
lobe/middle cranial fossa complex.
High-resolution magnetic resonance neuroimaging may be able to assess
both temporal lobe and middle cranial fossa shapes and volumes in the same
individuals. One early computed tomographic study reported no difference in
the volume of the middle cranial fossa in patients with schizophrenia vs controls.38 Future research needs to reconcile our anthropomorphic
findings of larger skull base with the magnetic resonance imaging finding
of reduced temporal lobe volumes. As the brain involutes via normal aging
mechanisms or disease processes, the skull continues to provide a "mold" that
may reflect earlier peak brain size and shape. We speculate that psychosis
may be associated with greater than normal temporal lobe size during development.
This effect would influence middle cranial fossa size and, thus, lead to persisting
skull changes (ie, wider skull bases and shorter lower third of the face heights).
Sometime after peak brain size is achieved, perhaps the temporal lobes in
psychosis undergo greater than normal involution, which leads to the magnetic
resonance imaging findings of smaller temporal lobe volumes described above.
Based on the ratio of brain matter to cerebrospinal fluid, Woods et al39 have already reported changes in the frontal lobes
and temporal lobes consistent with this hypothesis. The shape of the middle
cranial fossae in patients with schizophrenia may provide important clues
to the timing of brain changes reported in schizophrenia.40-41
A clearer understanding of the linkages between MPAs and the risk of
psychosis and a more detailed knowledge of how the developing brain interacts
with the neuro-basicranial complex may help discover novel candidate exposures
and genes related to psychosis. Candidate exposures that can affect these
structures also include prenatal viral exposures42-43
and obstetric complications.24 General nutritional
deficiencies44 and low prenatal vitamin D,
in particular,45 have been proposed as risk-modifying
factors for schizophrenia; these factors are known to affect craniofacial
growth.30, 46 Within the genetic
domain, Waddington et al10 have suggested a
range of candidate genes involved in craniofacial development. Informative
craniofacial quantitative measures identified in this study and by Lane et
al3 may serve as correlated phenotypes in genetic
studies of psychosis.47 Research on how the
brain and the skull interact during development may provide fertile new leads
in the understanding of psychosis.
AUTHOR INFORMATION
Submitted for publication February 9, 2001; final revision received
August 8, 2001; accepted September 4, 2001.
This study was supported by a grant from the Stanley Foundation, Bethesda,
Md.
This study is based on data from the Study on Low-Prevalence (Psychotic)
Disorders from the National Survey of Mental Health and Wellbeing, Australia,
1997-1998.
We thank Eadbhard O'Callaghan, MD, and Abbie Lane, MD, for their assistance.
Corresponding author and reprints: John McGrath, MBBS, PhD, FRANZCP,
Queensland Centre for Schizophrenia Research, Wolston Park Hospital, Wacol
Q4076, Australia (e-mail: jjm{at}brain.wph.uq.edu.au).
From the Queensland Centre for Schizophrenia Research, Wolston Park
Hospital, Wacol, Australia (Drs McGrath, El-Saadi, Grim, Chant, and Mowry,
Ms Cardy, and Mr Chapple); and the Department of Anthropology, Harvard University,
Cambridge, Mass (Dr Lieberman).
REFERENCES
 |  |
1. Ismail B, Cantor-Graae E, McNeil TF. Minor physical anomalies in schizophrenia: cognitive, neurological,
and other clinical correlates. J Psychiatr Res. 2000;34:45-56.
FULL TEXT
|
ISI
| PUBMED
2. Ismail B, Cantor-Graae E, McNeil TF. Minor physical anomalies in schizophrenic patients and their siblings. Am J Psychiatry. 1998;155:1695-1702.
FREE FULL TEXT
3. Lane A, Kinsella A, Murphy P, Byrne M, Keenan J, Colgan K, Cassidy B, Sheppard N, Horgan R, Waddington JL, Larkin C, O'Callaghan E. The anthropometric assessment of dysmorphic features in schizophrenia
as an index of its developmental origins. Psychol Med. 1997;27:1155-1164.
FULL TEXT
|
ISI
| PUBMED
4. McGrath JJ, van Os J, Hoyos C, Jones PB, Harvey I, Murray RM. Minor physical anomalies in psychoses: associations with clinical and
putative aetiological variables. Schizophr Res. 1995;18:9-20.
FULL TEXT
|
ISI
| PUBMED
5. O'Callaghan E, Buckley P, Madigan C, Redmond O, Stack JP, Kinsella A, Larkin C, Ennis JT, Waddington JL. The relationship of minor physical anomalies and other putative indices
of developmental disturbance in schizophrenia to abnormalities of cerebral
structure on magnetic resonance imaging. Biol Psychiatry. 1995;38:516-524.
FULL TEXT
|
ISI
| PUBMED
6. Green MF, Bracha HS, Satz P, Christenson CD. Preliminary evidence for an association between minor physical anomalies
and second trimester neurodevelopment in schizophrenia. Psychiatry Res. 1994;53:119-127.
FULL TEXT
|
ISI
| PUBMED
7. Lohr JB, Flynn K. Minor physical anomalies in schizophrenia and mood disorders. Schizophr Bull. 1993;19:551-556.
8. McGrath JJ, Murray RM. Risk factors for schizophrenia: from conception to birth. In: Weinberger DR, Hirsch SR, eds. Schizophrenia. Oxford, England: Blackwell Science; 1994:187-205.
9. Tarrant CJ, Jones PB. Precursors to schizophrenia: do biological markers have specificity? Can J Psychiatry. 1999;44:335-349.
ISI
| PUBMED
10. Waddington JL, Lane A, Scully P, Meagher D, Quinn J, Larkin C, O'Callaghan E. Early cerebro-craniofacial dysmorphogenesis in schizophrenia: a lifetime
trajectory model from neurodevelopmental basis to "neuroprogressive" process. J Psychiatr Res. 1999;33:477-489.
FULL TEXT
|
ISI
| PUBMED
11. Jablensky A, McGrath J, Herrman H, Castle D, Gureje O, Evans M, Carr V, Morgan V, Korten A, Harvey C. Psychotic disorders in urban areas: an overview of the Study on Low-Prevalence
Disorders. Aust N Z J Psychiatry. 2000;34:221-236.
FULL TEXT
|
ISI
| PUBMED
12. Jablensky A, McGrath J, Herrman H, Castle D, Gureje O, Morgan V, Korten A. People Living With Psychotic Illness: An Australian
Study, 1997-98. National Survey of Mental Health and Wellbeing. Canberra, Australia: Commonwealth Dept of Health and Aged Care; 1999.
13. Robins LN, Wing J, Wittchen HU, Helzer JE, Babor TF, Burke J, Farmer A, Jablenski A, Pickens R, Regier DA, Sartorius N, Towle LH. The Composite International Diagnostic Interview: an epidemiologic
instrument suitable for use in conjunction with different diagnostic systems
and in different cultures. Arch Gen Psychiatry. 1988;45:1069-1077.
FREE FULL TEXT
14. Bebbington P, Nayani T. The Psychosis Screening Instrument Questionnaire. Int J Methods Psychiatr Res. 1995;5:11-19.
15. Wing JK, Babor T, Brugha T, Burke J, Cooper JE, Giel R, Jablenski A, Regier D, Sartorius N. SCAN: Schedules for Clinical Assessment in Neuropsychiatry. Arch Gen Psychiatry. 1990;47:589-593.
FREE FULL TEXT
16. McGuffin P, Farmer A, Harvey I. A polydiagnostic application of operational criteria in studies of
psychotic illness: development and reliability of the OPCRIT system. Arch Gen Psychiatry. 1991;48:764-770.
FREE FULL TEXT
17. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders,
Revised Third Edition. Washington, DC: American Psychiatric Association; 1987.
18. Farkas LG. Anthropometry of the Head and Face in Medicine. New York, NY: Elsevier; 1981.
19. Allanson JE. Objective techniques for craniofacial assessment: what are the choices? Am J Med Genet. 1997;70:1-5.
FULL TEXT
|
ISI
| PUBMED
20. Ward RE, Jamison PL. Measurement precision and reliability in craniofacial anthropometry:
implications and suggestions for clinical applications. J Craniofac Genet Dev Biol. 1991;11:156-164.
ISI
| PUBMED
21. Ferrario VF, Sforza C, Poggio CE, Schmitz JH. Craniofacial growth: a 3-dimensional soft-tissue study from 6 years
to adulthood. J Craniofac Genet Dev Biol. 1998;18:138-149.
ISI
| PUBMED
22. Bixler D. Abnormal development of the skull and cervical spine. In: Melnick M, Shields ED, Burzynski NJ, eds. Clinical Dysmorphology of Oral-Facial Structures. Boston, Mass: John
Wright; 1982:288-308.
23. Kasai K, Moro T, Kanazawa E, Iwasawa T. Relationship between cranial base and maxillofacial morphology. Eur J Orthod. 1995;17:403-410.
FREE FULL TEXT
24. McNeil TF, Cantor-Graae E, Ismail B. Obstetric complications and congenital malformation in schizophrenia. Brain Res Brain Res Rev. 2000;31:166-178.
FULL TEXT
| PUBMED
25. Enlow DH. Facial Growth. 3rd ed. Philadelphia, Pa: WB Saunders Co; 1990.
26. Weidenreich F. The brain and its role in the phylogenetic transformation of the human
skull. Trans Am Phil Soc. 1941;31:321-442.
27. Cheverud JM, Kohn LA, Konigsberg LW, Leigh SR. Effects of fronto-occipital artificial cranial vault modification on
the cranial base and face. Am J Phys Anthropol. 1992;88:323-345.
FULL TEXT
|
ISI
| PUBMED
28. Enlow DH, Bhatt MK. Facial morphology variations associated with headform variations. J Charles H Tweed Int Found. 1984;12:21-23.
PUBMED
29. Lieberman DE, Pearson OM, Mowbray KM. Basicranial influence on overall cranial shape. J Hum Evol. 2000;38:291-315.
FULL TEXT
|
ISI
| PUBMED
30. Sperber GH. Craniofacial Embryology. 4th ed. London, England: Wright; 1989.
31. Daniel DG, Goldberg TE, Gibbons RD, Weinberger DR. Lack of bimodal distribution of ventricular size in schizophrenia:
a Gaussian mixture analysis of 1056 cases and controls. Biol Psychiatry. 1991;30:887-903.
FULL TEXT
|
ISI
| PUBMED
32. Lieberman DE, Ross CF, Ravosa MJ. The primate cranial base: ontogeny, function, and integration. Am J Phys Anthropol. 2000;Suppl 31:117-169.
33. Boyes J, Whalley HC, Lawrie SM, Johnstone EC, Best JJ. A MRI study of ocular hypertelorism in individuals at high risk of
developing schizophrenia. Schizophr Res. 2001;50:1-2.
FULL TEXT
|
ISI
| PUBMED
34. McCarley RW, Wible CG, Frumin M, Hirayasu Y, Levitt JJ, Fischer IA, Shenton ME. MRI anatomy of schizophrenia. Biol Psychiatry. 1999;45:1099-1119.
FULL TEXT
|
ISI
| PUBMED
35. Wright IC, Rabe-Hesketh S, Woodruff PW, David AS, Murray RM, Bullmore ET. Meta-analysis of regional brain volumes in schizophrenia. Am J Psychiatry. 2000;157:16-25.
FREE FULL TEXT
36. Moss M. Growth and development of the craniofacial complex: an epigenetic viewpoint. In: Goodrich JT, Hall CD, eds. Craniofacial Anomalies:
Growth and Development From a Surgical Perspective. New York, NY: Thieme
Medical Publishers; 1995:1-7.
37. Hadziselimovic H, Cus M. The appearance of the internal structures of the brain in relation
to the configuration of the human skull. Acta Anat (Basel). 1966;63:289-299.
ISI
| PUBMED
38. Casanova MF, Daniel DG, Goldberg TE, Suddath RL, Weinberger DR. Shape analysis of the middle cranial fossa of schizophrenic patients:
a computerized tomographic study. Schizophr Res. 1989;2:333-338.
FULL TEXT
|
ISI
| PUBMED
39. Woods BT, Yurgelun-Todd D, Goldstein JM, Seidman LJ, Tsuang MT. MRI brain abnormalities in chronic schizophrenia: one process or more? Biol Psychiatry. 1996;40:585-596.
FULL TEXT
|
ISI
| PUBMED
40. Velakoulis D, Pantelis C, McGorry PD, Dudgeon P, Brewer W, Cook M, Desmond P, Bridle N, Tierney P, Murrie V, Singh B, Copolov D. Hippocampal volume in first-episode psychoses and chronic schizophrenia:
a high-resolution magnetic resonance imaging study. Arch Gen Psychiatry. 1999;56:133-141.
FREE FULL TEXT
41. Copolov D, Velakoulis D, McGorry P, Mallard C, Yung A, Rees S, Jackson G, Rehn A, Brewer W, Pantelis C. Neurobiological findings in early phase schizophrenia. Brain Res Brain Res Rev. 2000;31:157-165.
FULL TEXT
| PUBMED
42. Brown AS, Susser E, Cohen SG. Schizophrenia following prenatal rubella exposure: gestational timing
and diagnostic specificity. Schizophr Res. 1998;29:17-18.
43. Rantakallio P, Jones P, Moring J, von Wendt L. Association between central nervous system infections during childhood
and adult-onset schizophrenia and other psychoses: a 28-year follow-up. Int J Epidemiol. 1997;26:837-843.
FREE FULL TEXT
44. Brown AS, Susser ES, Butler PD, Richardson Andrews R, Kaufmann CA, Gorman JM. Neurobiological plausibility of prenatal nutritional deprivation as
a risk factor for schizophrenia. J Nerv Ment Dis. 1996;184:71-85.
FULL TEXT
|
ISI
| PUBMED
45. McGrath J. Hypothesis: is low prenatal vitamin D a risk-modifying factor for schizophrenia? Schizophr Res. 1999;40:173-177.
FULL TEXT
|
ISI
| PUBMED
46. Engstrom C, Magnusson BC, Linde A. Changes in craniofacial suture metabolism in rats fed a low calcium
and vitamin Ddeficient diet. J Anat. 1982;134:443-458.
ISI
| PUBMED
47. Pulver AE. Search for schizophrenia susceptibility genes. Biol Psychiatry. 2000;47:221-230.
FULL TEXT
|
ISI
| PUBMED
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