The British Journal of Psychiatry (2006) 189: 81-82. doi: 10.1192/bjp.bp.105.011098
© 2006 The Royal College of Psychiatrists
Magnetic resonance imaging abnormalities in young euthymic patients with bipolar affective disorder
Selim M. El-Badri, MD,
David A. Cousins, MRCP, MRCPsych,
Sean Parker, MRCP and
Heather C. Ashton, FRCP
Department of Psychiatry, University of Newcastle upon Tyne, Royal
Victoria Infirmary, Newcastle upon Tyne
Victor L. McAllister, FRCR
Department of Neuroradiology, Newcastle General Hospital
I. Nicol Ferrier, MD, FRCP, FRCPsych and
P. Brian Moore, PhD, FRCPsych
Department of Psychiatry, University of Newcastle upon Tyne, UK
Correspondence:
Dr P. B. Moore, Department of Psychiatry, University of Newcastle upon Tyne,
Royal Victoria Infirmary, Queen Victoria Road, Newcastle upon Tyne NE1 4LP,
UK. Email:
P.B.Moore{at}ncl.ac.uk
Declaration of interest None.
Support from Stanley Medical Research, Bethesda, MD, USA.

ABSTRACT
Temporal lobe and limbic structures may be abnormalin bipolar
disorder.
T2-weighted magnetic resonance imaging (MRI) scans
frequently show deep white
matter lesions. MRI was performed
on 50 young (19-39 years) euthymic patients
with bipolar disorder
and 26 controls. Mean temporal lobe volumes were reduced
in
patients (right, 9.42 cm
3; left, 6.33 cm
3) but this
could not
but this could not be ascribed to a specific structure. Deep
white
matter lesions were present in 5 patients but no controls
raising questions of
their aetiological significance.

INTRODUCTION
Despite many magnetic resonance imaging (MRI) studies of the
temporal lobe
in bipolar disorder, consistent findings are
yet to emerge. Early findings of
reduced temporal lobe volumes
remain unconfirmed
(
Swayze et al, 1992;
Altshuler et al,
2000).
Deep and periventricular white matter lesions observed on
T2-weighted
MRI scans are 3.3 times more prevalent in bipolar disorder
(
Altshuler et al,
1995),
although they are present in only a minority of patients.
Here
we compare temporal lobe and ventricular volumes and deep white
matter
lesions in young, physically healthy euthymic patients
with bipolar disorder
and controls.

METHOD
We invited 121 patients with bipolar I disorder attending clinics
in
north-east England to participate in the study. After assessment
and
explanation of the study's aims and methods, 53 gave written
informed consent.
Three were excluded because of scanning difficulties,
leaving 50 (15 males;
mean age 30.2 years (s.d.=6.2, range
20-39); mean illness duration 8.9 years
(s.d.=3.3)) to complete
the study. We recruited 26 controls (13 males, 13
females;
mean age 30.2 years (s.d.=6.2, range 20-39), with no current
or past
psychiatric disorder matched for mean age and premorbid
IQ (NART;
Nelson, 1982).
Patients met DSM-IV criteria (American
Psychiatric Association, 1994) for bipolar I disorder only and had
experienced at least two episodes of illness. Exclusion criteria
(Moore et al,
2001a) designed to eliminate white matter abnormalities
unrelated to bipolar disorder were applied to patients and controls. Both
groups were euthymic at the time of scanning; this was confirmed by a mental
state examination supplemented by the Beck Depression Inventory
(Beck et al,
1961).
Axial T2-weighted, coronal inversion recovery and sagittal, coronal and
axial T1 scans were recorded using a General Electrics (Slough, UK) MR max
plus 0.5 tesla scanner. Details of volumetric measurements from coronal
inversion recovery scans have been published previously
(Moore et al,
2001a). The rostral limit of the temporal lobe was taken
to be the last slice showing the Sylvian fissure.
Intracranial volumes could not be measured directly. Head size was measured
as the product of three mutually perpendicular skull diameters, the
posterior-anterior diameter, the left-right diameter and the vertical height
of the skull above the sella. White matter hyperintensities on MRI were
evaluated independently by two investigators. Only hyperintensities present on
both T2 and proton density scans and, for deep white matter lesions at least 3
mm in diameter, were included. Investigators were in complete agreement about
whether an individual scan showed deep or periventricular white matter
lesions. Scans were rated using the scale of Fazekas et al
(1993).
Data were analysed using the statistical package Minitab 10.2 for Windows
(Minitab Inc., Pennsylvania, USA). Data that were normally distributed were
analysed using ANOVA and Student's t-test. A Bonferroni correction
was applied, making P
0.007 significant and 0.05 > P
> 0.007 a trend.

RESULTS
Patients had smaller temporal lobe volumes than controls (left,
mean 54.9
cm
3 (s.d.=9.9)
v. 61.3 (s.d.=8.3),
F=7.7,
P=0.007
and right, mean 59.5 cm
3 (s.d.=10.8)
v.
68.1 (s.d.=8.2),
F=12.55,
P=0.001) with right volumes being
greater than left (paired
t=7.28,
P<0.001)
(
Fig. 1). Lateral ventricle
volumes did
not differ between patients and controls (left, mean 8.7
cm
3 (s.d.=4.3)
v. 8.0 (s.d.=2.8) and right, mean 8.21
cm
3 (s.d.=4.4)
v. 7.3 (s.d.=2.4). Illness
(
F=9.81,
P=0.003) and gender (
F=7.37,
P=0.008) contributed significantly to differences in temporal
lobe
volume.
Post hoc pairwise comparisons of temporal lobe
volumes in
males, females, patients and controls found significantly
(
F=9.3,
P=0.003) smaller left volumes (mean 52.2 cm
3 (s.d.=8.8))
in female than male (mean 61.0 cm
3 (s.d.=9.6)) patients. There
were
trends (0.05 >
P > 0.007) for female patients to
have smaller
temporal lobes (left or right) than controls,
and for the right temporal lobes
of female patients to be smaller
than those of males (
F=4.99,
P=0.03).
Age and skull volume may be confounding variables. Age was similar
in
patient and control groups and was not a significant confounder.
When temporal
lobe volumes were analysed using a general linear
model with illness presence
and gender as categorical variables
and head size as covariate (with
interactions allowed), the
adjusted left mean temporal lobe volumes of
patients (55.7
cm
3 (s.d.=1.6)) and controls (61.7 cm
3
(s.d.=1.6)) differed
significantly (
F=13.8,
P<0.001). An
interaction between
illness group and head size contributed significantly
(
F=12.4,
P=0.001) to the left temporal lobe volume
variance.
Similarly, the adjusted right mean temporal lobe volume in patients (60.0
cm3 (s.d.=1.7)) was smaller (F=10.6, P=0.002)
than in controls (68.5 (s.d.=1.8)). Again an interaction between illness group
and head size parameter was observed (F=10.6, P=0.002). No
other group/covariate interactions significantly contributed to the variance
of left or right temporal lobe volumes.
Deep white matter lesions were observed in 5 out of 50 patients (10%) but
no controls (Fisher's exact test, two-tailed, P=0.115). Two were
graded as 2 (moderate severity) and three were graded as 1 (mild) on the
Fazekas scale. Two patients with deep white matter lesions had periventricular
white matter lesions (Fazekas grade 3 and 1). No controls exhibited white
matter abnormalities.

DISCUSSION
Patients with bipolar disorder had significantly reduced right
and left
temporal lobe volumes even after controlling for skull
volumes. Our mean
temporal lobe volume in males (125.6 cm
3 (s.d.=18.9)) agrees well
with a recently published value (139.5
cm
3 (s.d.=15.5)) despite
differences in MRI methods and problems
defining the temporal lobe rostral
boundary (
Altshuler et al,
2000).
Published, mixed-gender studies of bipolar disorder have reported smaller
(Swayze et al, 1992),
unchanged (Hauser et al,
2000) or increased (Harvey
et al, 1994) temporal lobe volumes. Altshuler et
al (2000) were unable to
replicate an earlier finding of reduced temporal lobe volume in males. We
found temporal lobe volume reductions predominantly in females, which may
explain differences in male only and mixed-gender studies.
Generalised or specific structural atrophy, changes in grey/white matter
density, or abnormal temporal lobe neurodevelopment could cause reduced
temporal lobe volumes. Measured mean hippocampal and amygdala volumes lie in
the ranges of 2.0-3.8 cm3 and 1.3-3.4 cm3, respectively
(Swayze et al, 1992;
Altshuler et al,
2000). As these are much less than our measured reductions in
temporal lobe volumes, such reductions could not result solely from
hypoplasticity of the amygdala and hippocampus. Although patients exhibited
minimally enlarged lateral ventricles, this was not statistically significant.
Thus, there was little evidence of generalised cerebral atrophy in young
patients with bipolar disorder, adding to the consensus of negative studies
(Soares & Mann, 1997).
Grey matter density may be reduced by up to 9.6% and might contribute to
reduced temporal lobe volume (Lim et
al, 1999).
We are confident that the deep white matter lesions observed in 10%
(P=0.115) of patients are linked to bipolar disorder. In this and an
earlier study with similar exclusion criteria
(Moore et al,
2001a), deep white matter lesions were absent in controls
under 50 years, reinforcing the association, albeit weak, between the lesions
observed here and bipolar disorder. Furthermore, studies of younger (or
first-episode) patients (Swayze et
al, 1992; Strakowski
et al, 1993) also showed a non-significant 10% frequency
of deep white matter lesions. Supporting these observations, post-mortem
studies have reported microtubule protein and oligoden-drocyte abnormalities
in bipolar disorder (for review see
Harrison, 2002), which may
contribute to the formation of deep white matter lesions.
The low prevalence of deep white matter lesions suggests that they have a
limited but unknown contribution to the pathogenesis of bipolar disorder.
Associations with winter birth (Moore
et al, 2001b), cognitive difficulties
(Dupont et al, 1995)
and especially treatment resistance (Moore
et al, 2001a) may provide starting points for
future examination of their importance.

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Received for publication March 16, 2005.
Accepted for publication May 5, 2005.
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