Deficits in gray matter volume are present in schizophrenia but not bipolar disorder1This work was presented at the Meeting of the Society of Biological Psychiatry, Philadelphia, PA, USA, May 1994.1

Zipursky, Robert B.; Seeman, Mary V.; Bury, Alison; Langevin, Ronald; Wortzman, G; Katz, Randy

doi:10.1016/s0920-9964(97)00042-x

Cited by 92 publications

(6 citation statements)

References 36 publications

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“…Consistent with studies of multiple-episode bipolar patients, [41][42][43][44][45] none of the 7 FEM studies which reported on total GMVs found a significant difference between patients and healthy individuals.…”

Section: Discussionsupporting

confidence: 81%

Grey matter abnormalities in first‐episode mania: A systematic review and meta‐analysis of voxel‐based morphometry studies

et al. 2020

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Objectives: It has been proposed that different stages of bipolar disorder may be underpinned by distinct neurobiological substrates. However, structural neuroimaging studies in early stages of the illness are limited by small sample sizes yielding inconsistent findings. The purpose of this systematic review and meta-analysis, therefore, was to identify regional grey matter volume (GMV) changes that are consistently associated with first episode of mania (FEM).Methods: Following PRISMA guidelines, we conducted a systematic search of the literature to identify Voxel-Based Morphometry (VBM) studies in FEM patients compared with healthy individuals. We then conducted a voxel-wise meta-analysis using Seed-based d-Mapping technique. Finally, we performed univariate meta-regression analyses to explore the potential effects of moderator variables including age, gender, and percentage of lithium users on GMV alterations. Results:We identified 15 VBM studies and included 12 studies in the meta-analysis.Four studies found no regional differences in GM volumes while other 11 studies reported volume changes in frontal and temporal regions as well as anterior cingulate cortex (ACC), cerebellum and basal ganglia. The meta-analysis revealed a single cluster of GMV reduction in bilateral pregenual ACC in patients with FEM compared to healthy individuals (P < .001). The Egger's test showed no evidence of publication bias at peak voxel level (P = .447). Meta-regression analyses revealed no significant effects of moderators evaluated. Conclusions:Structural brain changes are evident in the early stages of bipolar disorder. GMV reduction in bilateral pregenual ACC is the most consistent finding in VBM studies of FEM.

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Section: Discussionsupporting

confidence: 81%

Grey matter abnormalities in first‐episode mania: A systematic review and meta‐analysis of voxel‐based morphometry studies

et al. 2020

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“…Friedman et al (1999), found comparable deficits in schizophrenia and bipolar disorder (Friedman et al, 1999), but Lim et al (1999) reported that deficits were more pronounced in schizophrenia (Lim et al, 1999). Other investigations have found that gray matter deficits are selectively associated with schizophrenia not bipolar disorder (Harvey et al, 1994; Pearlson et al, 1997; Zipursky et al, 1997; Hirayasu et al, 2001; McDonald et al, 2005). In the intervening period, the advent of voxel-based techniques has expanded the literature on bipolar disorder.…”

Section: Discussionmentioning

confidence: 95%

“…Brain imaging studies in schizophrenia generally report lower brain volume, lateral ventricular enlargement, frontal, and lower volumes in temporal, limbic, and subcortical regions (Chua and McKenna, 1995; Gur et al, 1999; McCarley et al, 1999; Wright et al, 2000; Chua et al, 2007) and meta-analyses of “voxel-based morphometry” (VBM) studies which quantify brain differences at each voxel or “volume element” in brain, confirm fronto-striatal temporal and insula deficits are already evident at first presentation of schizophrenia (Ellison-Wright et al, 2008; Chan et al, 2009; Leung et al, 2009). Some groups report brain differences that appear to be specific to schizophrenia (Harvey et al, 1994; Pearlson et al, 1997; Zipursky et al, 1997; Altshuler et al, 2000; Hirayasu et al, 2001; McDonald et al, 2005), while others find similar changes in bipolar disorder and schizophrenia (Friedman et al, 1999; Lim et al, 1999; Velakoulis et al, 1999; Janssen et al, 2008). …”

Section: Introductionmentioning

confidence: 99%

Are Bipolar Disorder and Schizophrenia Neuroanatomically Distinct? An Anatomical Likelihood Meta-analysis

Cheung

Leung

et al. 2010

Front. Hum. Neurosci.

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Objective: There is renewed debate on whether modern diagnostic classification should adopt a dichotomous or dimensional approach to schizophrenia and bipolar disorder. This study synthesizes data from voxel-based studies of schizophrenia and bipolar disorder to estimate the extent to which these conditions have a common neuroanatomical phenotype. Methods: A post-hoc meta-analytic estimation of the extent to which bipolar disorder, schizophrenia, or both conditions contribute to brain gray matter differences compared to controls was achieved using a novel application of the conventional anatomical likelihood estimation (ALE) method. 19 schizophrenia studies (651 patients and 693 controls) were matched as closely as possible to 19 bipolar studies (540 patients and 745 controls). Result: Substantial overlaps in the regions affected by schizophrenia and bipolar disorder included regions in prefrontal cortex, thalamus, left caudate, left medial temporal lobe, and right insula. Bipolar disorder and schizophrenia jointly contributed to clusters in the right hemisphere, but schizophrenia was almost exclusively associated with additional gray matter deficits (left insula and amygdala) in the left hemisphere. Limitation: The current meta-analytic method has a number of constraints. Importantly, only studies identifying differences between controls and patient groups could be included in this analysis. Conclusion: Bipolar disorder shares many of the same brain regions as schizophrenia. However, relative to neurotypical controls, lower gray matter volume in schizophrenia is more extensive and includes the amygdala. This fresh application of ALE accommodates multiple studies in a relatively unbiased comparison. Common biological mechanisms may explain the neuroanatomical overlap between these major disorders, but explaining why brain differences are more extensive in schizophrenia remains challenging.

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“…Larger hippocampal (Kempton et al, 2008) and amygdala (Arnone et al, 2009) volumes have been reported in bipolar individuals compared to those with schizophrenia. Several VBM analyses have suggested that GM reductions are selectively associated with schizophrenia not bipolar disorder (Harvey et al, 1994; Zipursky et al, 1997; Pearlson et al, 1997; Altshuler et al, 2000; Hirayasu et al, 2001; McDonald et al, 2005; Farrow et al, 2005), whereas others found partially overlapping GM reductions in the two disorders, nevertheless more pronounced in schizophrenia (Friedman et al, 1999; McIntosh et al, 2004; Janssen et al, 2008; Ellison-Wright and Bullmore, 2010; Yu et al, 2010). Recent FS analyses have confirmed observations of shared (enlarged lateral ventricles, decreased bilateral hippocampi and left thalamus in both schizophrenia and bipolar disorder) and unique (widespread cortical thinning and enlarged right putamen in schizophrenia, and variable observations in cortical thickness in bipolar disorder) regional phenotypes (Lyoo et al, 2006; Rimol et al, 2010; Hartberg et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Brain gray matter phenotypes across the psychosis dimension

Ivleva

Bidesi

Thomas

et al. 2012

Psychiatry Research: Neuroimaging

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This study sought to examine whole brain and regional gray matter (GM) phenotypes across the schizophrenia (SZ)–bipolar disorder psychosis dimension using voxel-based morphometry (VBM 8.0 with DARTEL segmentation/normalization) and semi-automated regional parcellation, FreeSurfer (FS 4.3.1/64 bit). 3T T1 MPRAGE images were acquired from 19 volunteers with schizophrenia (SZ), 16 with schizoaffective disorder (SAD), 17 with psychotic bipolar I disorder (BD-P) and 10 healthy controls (HC). Contrasted with HC, SZ showed extensive cortical GM reductions, most pronounced in fronto-temporal regions; SAD had GM reductions overlapping with SZ, albeit less extensive; and BD-P demonstrated no GM differences from HC. Within the psychosis dimension, BD-P showed larger volumes in fronto-temporal and other cortical/subcortical regions compared with SZ, whereas SAD showed intermediate GM volumes. The two volumetric methodologies, VBM and FS, revealed highly overlapping results for cortical GM, but partially divergent results for subcortical volumes (basal ganglia, amygdala). Overall, these findings suggest that individuals across the psychosis dimension show both overlapping and unique GM phenotypes: decreased GM, predominantly in fronto-temporal regions, is characteristic of SZ but not of psychotic BD-P, whereas SAD display GM deficits overlapping with SZ, albeit less extensive.

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Deficits in gray matter volume are present in schizophrenia but not bipolar disorder1This work was presented at the Meeting of the Society of Biological Psychiatry, Philadelphia, PA, USA, May 1994.1

Cited by 92 publications

References 36 publications

Grey matter abnormalities in first‐episode mania: A systematic review and meta‐analysis of voxel‐based morphometry studies

Grey matter abnormalities in first‐episode mania: A systematic review and meta‐analysis of voxel‐based morphometry studies

Are Bipolar Disorder and Schizophrenia Neuroanatomically Distinct? An Anatomical Likelihood Meta-analysis

Brain gray matter phenotypes across the psychosis dimension

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