The British Journal of Psychiatry (2007) 191: 258-259. doi: 10.1192/bjp.bp.106.029017
© 2007 The Royal College of Psychiatrists
Caudate volume in offspring of patients with schizophrenia
Rajaprabhakaran Rajarethinam, MD,
Ameet Upadhyaya, MD,
Pon Tsou, BS and
Margie Upadhyaya, MD
Department of Psychiatry, Wayne State University School of Medicine,
Detroit, Michigan
Matcheri S. Keshavan, MD
Departments of Psychiatry, Wayne State University School of Medicine, and
University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania,
USA
Correspondence:
Dr M. S. Keshavan, Department of Psychiatry, Wayne State University School of
Medicine, 4201 St Antoine Street UHC-9B, Detroit, Michigan 48201, USA. Email:
mkeshava{at}med.wayne.edu
Declaration of interest None.

ABSTRACT
Caudate nuclei are smaller in drug-naive people with schizophrenia
but
larger in antipsychotic-treated patients. In this magnetic
resonance imaging
study we found volume reduction of right
and left caudate by 8.9 and 8.1%
respectively in 50 offspring
without psychosis of patients with schizophrenia
compared with
53 age- and gender-matched controls, providing new evidence
that
caudate volume reduction may be a trait-related abnormality
in
schizophrenia.

INTRODUCTION
The caudate nucleus is a major target area for the subcortical
dopamine
projection system, which is implicated in the pathophysiology
of
schizophrenia. Caudate and other basal ganglia nuclei help
regulate and
organise the information flow between frontal
lobes and the rest of the brain
and play a major part in higher
cognitive functions and movement
(
Middleton & Strick,
1994).
Disruptions in this system or lesions of the basal ganglia
result
in movement disorders and behavioural problems similar to schizophrenia
(
Heckers, 1997).
Previous studies have shown enlarged caudate in patients treated with
dopamine-blocking antipsychotics (Jernigan
et al, 1991); however, a reduction has been reported
among drug-naive patients (e.g. Keshavan
et al, 1998) but it is not known whether this reduction
precedes the illness. At-risk studies have shown brain abnormalities and
behavioural deviances supporting neurodevelopmental pathology prior to
psychosis (Lawrie et al,
2001; Rajarethinam et
al, 2004; Job et
al, 2005; Keshavan et
al, 2005). We predicted that individuals at risk would have a
smaller caudate nucleus than those with no family history of mental
illness.

METHOD
Fifty young people (22 males and 28 females, mean age 15.4 years,
s.d.=3.6)
with at least one parent with schizophrenia and 53
healthy comparison
participants (27 males and 28 females, mean
age 16.5 years, s.d.=4.4) with no
family history of mental
illness participated from an ongoing study at the
University
of Pittsburgh. Other findings from this study have been reported
elsewhere (
Rajarethinam et al,
2004;
Keshavan et al,
2005).
The parental diagnosis in the high-risk group was
ascertained
with the Structured Clinical Interview for DSM–IV (SCID;
Spitzer et al, 1992)
and consensus clinical diagnosis. Comparison
participants were similar in age,
gender and socio-economic
and geographical background but with no family
history of mental
illness. In the high-risk group 26 (57%) had Axis I
psychopathology
and IQ was lower (control group, mean IQ 115, s.d.=12;
high-risk
group, mean IQ 103, s.d.=13;
F=7.184,
P<0.011).
None of
the participants had psychosis. Seven participants were being
treated
with stimulants and four with antidepressants, but
none with antipsychotics.
The University of Pittsburgh institutional
review board approved the study.
All participants provided
written consent; those under 18 years provided
informed assent
also. Participants aged 15 years or younger were evaluated
with
the Schedule for Affective Disorders and Schizophrenia for School-Age
Children (K–SADS–PL version;
Kaufman et al, 1999)
and those over 15 were evaluated using the SCID. Anyone with
a lifetime
history of psychosis, significant neurological or
medical illness, current
substance use disorder, or any contraindication
for magnetic resonance imaging
(MRI) was excluded from participating
in either group.
For MRI, 124 T1-weighted 1.5 mm coronal slices, without
interslice gap, were obtained using a 1.5 T GE scanner (General Electric,
Milwaukee, Wisconsin, USA) with three-dimensional spoiled gradient recall
acquisition, matrix 256x256x192, field of view 24 cm, repetition
time 25 ms, and time to echo 5 ms. Scans were reviewed to exclude structural
abnormalities. The total brain volume was measured by a semi-automatic method
using BRAINS2 software (Magnotta et
al, 2002) and manually edited for accuracy. The interrater
reliability between the four raters ranged from 0.98 to 0.99.
Caudate volumes were measured using the artificial neural network
application, a semi-automated tracing method in BRAINS2, with manual editing
for accuracy by two trained raters (P.T. and M.U.). Measurement included the
head and body of the caudate but not the tail. The test–retest
reliability for each rater was established using a set of three scans: (P.T.)
right caudate r=0.98, left caudate r=0.99; (M.U.) right
caudate r=0.99, left caudate r=0.95. The interrater
reliability (intraclass r=0.94 for both right and left caudate) was
established using a set of nine scans. Differences in age and intracranial
volume were examined by two-tailed unpaired t-tests. Multivariate
analysis based on the general linear model was conducted with group status
(at-risk v. control) and intracranial volume as predictor variables
and caudate volumes as dependent variables.

RESULTS
Age and gender distribution were not significantly different
between the
groups. The mean total brain volume of the high-risk
group (1311.25
cm
3, s.d.=130.7) was significantly smaller than
that of the
comparison group (1391.21 cm
3, s.d.=136.3,
F=9.223,
P>0.003). Analysis of covariance using brain volume as a
covariate
revealed that the right caudate was significantly
smaller in the high-risk
group (
F=4.014,
P<0.05) and the
left caudate showed a
trend for reduction (
F= 2.92,
P=0.091)
(
Fig. 1). The right and left
caudate nuclei were smaller in
the high-risk group by 8.9 and 8.1%
respectively (right caudate:
control mean volume 3.58 cm
3,
s.d.=0.51; high-risk mean volume
3.26 cm
3, s.d.=0.45; left caudate:
control mean volume 3.57
cm
3, s.d.=0.51, high-risk mean volume 3.28
cm
3, s.d.=0.49).
Psychopathology or medication status did not have
any significant
effect on caudate volumes.

DISCUSSION
Our findings indicate that abnormalities in the caudate nucleus
may be seen
in young relatives of patients with schizophrenia.
Individuals at risk for
schizophrenia exhibit behavioural problems
and brain abnormalities, suggesting
that some form of the pathological
process may begin before the onset of
symptoms (
Keshavan et al,
2005).
However, not all of these at-risk individuals would develop
schizophrenia; therefore, the observed neuroanatomical alterations
may reflect
a measure of familial risk or susceptibility. The
conversion to psychosis may
result from an interaction between
such susceptibility factors and unknown
environmental influences
or developmental/maturational changes that may
involve this
system.
Our observations are consistent with studies of basal ganglia function in
individuals at risk for schizophrenia. Adult first-degree relatives of
schizophrenia patients made more errors on an antisaccade task than a
comparison group, suggesting a dysfunction of dorsolateral prefrontal cortex,
caudate nucleus, or both (Clementz et
al, 1994). Similarly, functional MRI studies have shown
decreased activation of the caudate with antisaccade tasks in unaffected
relatives (Raemaekers et al,
2006). These findings suggest that an alteration of the structural
and functional integrity of corticostriatal neural networks may represent
familial or premorbid risk of schizophrenia. It is conceivable that this
network may have a role in other neurocognitive deficits such as attentional
impairments found in at-risk individuals
(Keshavan et al,
2005). In addition, in the context of conflicting research
regarding the increase and decrease in caudate volume in relation to treatment
or drug-naive status, our data clearly support the hypothesis that volume
reduction rather than enlargement of the caudate nucleus is associated with
the pathophysiology of schizophrenia. In contrast, Lawrie et al
(2001) reported no difference
in the caudate volumes in at-risk relatives (not offspring), some of whom were
symptomatic.
To our knowledge, few studies have examined basal ganglia in asymptomatic,
untreated, adolescent offspring who are at genetic risk of schizophrenia.
High-risk studies enable investigation of neuropathology without the confounds
of state-related illness manifestations and medication effects. The
neuroanatomical specificity of the observed findings is unclear, but caudate
volume reductions might be part of an abnormal corticostriatal network; we and
others have found prefrontal and temporal cortical volume deficits in this
population (Rajarethinam et al,
2004; Job et al,
2005). The precise mechanisms underlying caudate volume reduction
are unclear, and may involve either a failure of normal development or an
excessive pruning (Keshavan et al,
2005).
These findings are intriguing, but must be considered preliminary, need
replication and may not be generalisable to non-familial forms of
schizophrenia. Although the difference was modest, type I errors are unlikely
as the sample was large. Our findings support the notion that smaller caudate
is a marker of genetic susceptibility, but it is not known whether this
abnormality is present at birth or becomes evident during childhood and
adolescence. Prospective studies in high-risk individuals suggest that about
10–15% develop schizophrenia, although up to 40% develop
schizophrenia-spectrum psychopathology
(Erlenmeyer-Kimling et al,
1997). Follow-up of these individuals will help elucidate the role
of the caudate in premorbid vulnerability to and later progression into
schizophrenia.

ACKNOWLEDGMENTS
Support from National Institute of Mental Health grants MH 64023,
01180
(M.S.K.), NARSAD independent Investigator award (M.S.K.)
and GCRC grant M01
RR00056. We thank Diana Dworakowski, MS,
and Debra Montrose, PhD, for help
with recruitment and assessment,
and Jeffrey Nutche, BS, for image
processing.

REFERENCES
- Clementz, B. A., McDowell, J. E. & Zisook, S.
(1994) Saccadic system functioning among schizophrenia
patients and their first-degree biological relatives. Journal of
Abnormal Psychology, 103, 277
-287.[CrossRef][Medline]
- Erlenmeyer-Kimling, L., Adamo, U. H., Rock, D., et al
(1997) The New York High-Risk Project. Prevalence and
comorbidity of axis I disorders in offspring of schizophrenic parents at
25-year follow-up. Archives of General Psychiatry,
54, 1096
-1102.[Abstract/Free Full Text]
- Heckers, S. (1997) Neuropathology of
schizophrenia: cortex, thalamus, basal ganglia, and neurotransmitter-specific
projection systems. Schizophrenia Bulletin,
23, 403
-421.[Abstract/Free Full Text]
- Jernigan, T. L., Zisook, S., Heaton, R. K., et al
(1991) Magnetic resonance imaging abnormalities in lenticular
nuclei and cerebral cortex in schizophrenia. Archives of General
Psychiatry, 48, 881
-890.[Abstract/Free Full Text]
- Job, D. E., Whalley, H. C., Johnstone, E. C., et al,
(2005) Grey matter changes over time in high risk subjects
developing schizophrenia. NeuroImage,
25, 1023
-1030.[CrossRef][Medline]
- Kaufman, J., Birmaker, B., Brent, D., et al
(1999) Schedule for Affective Disorders and Schizophrenia for
School-Age Children – Present and Lifetime Version
(K–SADS–PL): initial reliability and validity data.
Journal of the American Academy of Child and Adolescent
Psychiatry, 38, 1065
-1069.[CrossRef][Medline]
- Keshavan, M. S., Rosenberg, D., Sweeney, J. A., et al
(1998) Decreased caudate volume in neuroleptic-naive
psychotic patients. American Journal of Psychiatry,
155, 774
-778.[Abstract/Free Full Text]
- Keshavan, M. S., Diwadkar, V. A., Montrose, D. M., et
al (2005) Premorbid indicators and risk for
schizophrenia: a selective review and update. Schizophrenia
Research, 79, 45
-57.[CrossRef][Medline]
- Lawrie, S. M., Whalley, H. C., Abukmeil, S. S., et al
(2001) Brain structure, genetic liability, and psychotic
symptoms in subjects at high risk of developing schizophrenia.
Biological Psychiatry,
49, 811
-823.[Medline]
- Magnotta, V. A., Harris, G., Andreasen, N. C., et al
(2002) Structural MR image processing using the BRAINS2
toolbox. Computerized Medical Imaging and Graphics,
26, 251
-264.[CrossRef][Medline]
- Middleton, F. A. & Strick, P. L. (1994)
Anatomical evidence for cerebellar and basal ganglia involvement in higher
cognitive function. Science,
266, 458
-461.[Abstract/Free Full Text]
- Raemaekers, M., Ramsey, N. F., Vink, M., et al
(2006) Brain activation during antisaccades in unaffected
relatives of schizophrenic patients. Biological
Psychiatry, 59, 530
-535.[CrossRef][Medline]
- Rajarethinam, R., Sahni, S., Rosenberg, D. R., et al
(2004) Reduced superior temporal gyrus volume in young
offspring of patients with schizophrenia. American Journal of
Psychiatry, 161, 1121
-1124.[Abstract/Free Full Text]
- Spitzer, R. L., Williams, J. B., Gibbon, M., et al
(1992) The Structured Clinical Interview for
DSM–III–R (SCID). I: History, rationale, and description.
Archives of General Psychiatry,
49, 624
-629.[Abstract/Free Full Text]
Received for publication July 27, 2006.
Revision received February 27, 2007.
Accepted for publication March 19, 2007.
This article has been cited by other articles:

|
 |

|
 |
 
I. Ellison-Wright, D. C. Glahn, A. R. Laird, S. M. Thelen, and E. Bullmore
The Anatomy of First-Episode and Chronic Schizophrenia: An Anatomical Likelihood Estimation Meta-Analysis
Am J Psychiatry,
August 1, 2008;
165(8):
1015 - 1023.
[Abstract]
[Full Text]
[PDF]
|
 |
|