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Neuroanatomical voxel-based profile of schizophrenia and bipolar disorder

Published online by Cambridge University Press:  20 April 2016

E. Maggioni
Affiliation:
Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari ‘Aldo Moro’, Bari, Italy Department of Neurosciences and Mental Health, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
M. Bellani*
Affiliation:
Section of Psychiatry, AOUI Verona, Verona, Italy
A. C. Altamura
Affiliation:
Department of Neurosciences and Mental Health, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
P. Brambilla*
Affiliation:
Department of Neurosciences and Mental Health, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Texas, USA
*
*Address for correspondence: Dr M. Bellani, Section of Psychiatry, AOUI Verona, Piazzale L.A. Scuro 10, 37134 Verona, Italy; Prof. P. Brambilla, Department of Neurosciences and Mental Health, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, via F. Sforza 35, 20122 Milan, Italy. (Email: [email protected]; [email protected])
*Address for correspondence: Dr M. Bellani, Section of Psychiatry, AOUI Verona, Piazzale L.A. Scuro 10, 37134 Verona, Italy; Prof. P. Brambilla, Department of Neurosciences and Mental Health, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, via F. Sforza 35, 20122 Milan, Italy. (Email: [email protected]; [email protected])
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Abstract

Although schizophrenia (SCZ) and bipolar disorder (BD) share elements of pathology (Ellison-Wright and Bullmore, 2009), the neural mechanisms underlying these disorders are still under investigation. Up until now, many neuroimaging studies investigated the brain structural differences of SCZ and BD compared with healthy controls (HC), trying to identify the possible neuroanatomical markers for the two disorders. However, just a few studies focused on the brain structural changes between the two diagnoses. The present review summarises the findings of the voxel-based grey matter (GM) comparisons between SCZ and BD, with the objective to highlight the possible consistent anatomical differences between the two disorders. While the comparisons between patients and HC highlighted overlapping areas of GM reduction in insula and anterior cingulate cortex, the SCZ–BD comparisons suggest the presence of more generalised GM deficits in SCZ compared with BD. Indeed, in a number of studies, SCZ patients showed lower GM volumes than BD patients in fronto-temporal cortex, thalamus, hippocampus and amygdala. Conversely, only a couple of studies reported GM deficits in BD compared with SCZ, both at the level of cerebellum. In summary, the two disorders exhibit both common and specific neuroanatomical characteristics, whose knowledge is mandatory to develop innovative diagnostic and treatment strategies.

Type
Epidemiology for Behavioural Neurosciences
Copyright
Copyright © Cambridge University Press 2016 

The two major forms of psychosis, schizophrenia (SCZ) and bipolar disorder (BD), have been historically regarded as separate illnesses. However, the Kreaepelian dichotomous conceptualisation of the two disorders has been recently challenged by evidence of an intimate relationship. Indeed, SCZ and BD exhibit considerable overlaps in terms of genetic risk factors (Lichtenstein et al. Reference Lichtenstein, Yip, Björk, Pawitan, Cannon, Sullivan and Hultman2009), clinical features (Fischer & Carpenter, Reference Fischer and Carpenter2009), neuropsychological impairment (Hill et al. Reference Hill, Reilly, Keefe, Gold, Bishop, Gershon, Tamminga, Pearlson, Keshavan and Sweeney2013), as well as morphological brain changes compared with healthy controls (HC), including impaired white matter (WM) connectivity (Brambilla et al. Reference Brambilla, Cerini, Gasparini, Versace, Andreone, Vittorini, Barbui, Pelizza, Nosè and Barlocco2005, Reference Brambilla, Bellani, Yeh, Soares and Tansella2009), ventricular enlargement and global brain volume reduction (Arnone et al. Reference Arnone, Cavanagh, Gerber, Lawrie, Ebmeier and McIntosh2009). These similarities contribute to raise questions on the degree of distinctiveness of the two disorders.

A comprehensive understanding of the neurobiological characteristics of SCZ and BD may help to shed light on their common and specific pathophysiological bases. A large number of region-based and voxel-based approaches has already been applied to identify the structural abnormalities associated with SCZ and BD (Arnone et al. Reference Arnone, Cavanagh, Gerber, Lawrie, Ebmeier and McIntosh2009; Ellison-Wright & Bullmore, Reference Ellison Wright and Bullmore2010; Yu et al. Reference Yu, Cheung, Leung, Li, Chua and McAlonan2010; Bora et al. Reference Bora, Fornito, Yücel and Pantelis2012; Selvaraj et al. Reference Selvaraj, Arnone, Job, Stanfield, Farrow, Nugent, Scherk, Gruber, Chen and Sachdev2012). Whole-brain voxel-based morphometry (VBM) studies highlighted overlapping areas of grey matter (GM) reduction in SCZ and BD compared with HC, mainly located in bilateral insula and anterior cingulate cortex. The same studies also provided evidence for the larger extent and magnitude of the GM deficits in SCZ than in BD, suggesting a specific involvement of dorsolateral prefrontal cortex, superior temporal cortex, medial frontal gyrus, posterior cingulate cortex and thalamus in SCZ (Ellison-Wright & Bullmore, Reference Ellison Wright and Bullmore2010).

Having said this, it has to be noticed that most of the current knowledge of the neuroanatomical differences between SCZ and BD relies on meta-analyses of comparisons between each group of patients and HC. There are just a few studies that compared GM structure between SCZ patients and BD ones. In the present review, we focus on the VBM studies directly comparing SCZ patients to BD type I patients by providing an overview of their findings, in order to shed light on possible unique anatomical underpinnings of the two disorders.

Ten studies met the criteria for inclusion (the numerosity and clinical characteristics of the SCZ and BD groups, the type of comparison (single v. multi centre) and the main findings of the studies are listed in Table 1). In these studies, SCZ and BD were compared between each other and to HC, as well as to schizoaffective disorder (SAD) patients in Ivleva et al. (Reference Ivleva, Bidesi, Thomas, Meda, Francis, Moates, Witte, Keshavan and Tamminga2012, Reference Ivleva, Bidesi, Keshavan, Pearlson, Meda, Dodig, Moates, Lu, Francis and Tandon2013); Amann et al. (Reference Amann, Canales-Rodríguez, Madre, Radua, Monte, Alonso-Lana, Landin-Romero, Moreno-Alcázar, Bonnin and Sarró2016), and to their first-degree relatives in Ivleva et al. (Reference Ivleva, Bidesi, Keshavan, Pearlson, Meda, Dodig, Moates, Lu, Francis and Tandon2013). It is worth noticing that Yüksel et al. (Reference Yüksel, McCarthy, Shinn, Pfaff, Baker, Heckers, Renshaw and Öngür2012) included SAD patients in the SCZ group. Although the clinical characteristics of patients varied from study to study, the large majority considered chronic patients (except from Farrow et al. Reference Farrow, Whitford, Williams, Gomes and Harris2005) and BD patients with lifetime psychosis (except from Molina et al. Reference Molina, Galindo, Cortés, de, Alba, Ledo, Sanz, Montes and Hernández-Tamames2011; Amann et al. Reference Amann, Canales-Rodríguez, Madre, Radua, Monte, Alonso-Lana, Landin-Romero, Moreno-Alcázar, Bonnin and Sarró2016). The differences in clinical symptoms and pharmacological therapies between studies represent a confounding factor that should be taken into account when interpreting their findings.

Table 1. Selection of studies comparing SCZ and BD in terms of GM volume using voxel-based approaches

SC, single centre; MC, multi centre; SCZ, schizophrenia; BD, bipolar disorder; GM, grey matter.

Except of Cui et al. (Reference Cui, Li, Deng, Guo, Ma, Huang, Jiang, Wang, Collier and Gong2011), which did not find significant differences between the two disorders, and Farrow et al. (Reference Farrow, Whitford, Williams, Gomes and Harris2005), Molina et al. (Reference Molina, Galindo, Cortés, de, Alba, Ledo, Sanz, Montes and Hernández-Tamames2011), which detected reciprocal GM deficits in the two groups, the other studies only found regions of GM reduction in SCZ compared with BD. Although the regions interested by these deficits were rather heterogeneous across studies, the overall results provide further proof of the greater GM damage associated with the SCZ pathology.

As mentioned above, volumetric deficits in BD compared with SCZ were detected only in two studies (Farrow et al. Reference Farrow, Whitford, Williams, Gomes and Harris2005; Molina et al. Reference Molina, Galindo, Cortés, de, Alba, Ledo, Sanz, Montes and Hernández-Tamames2011). The singularity of these findings may be partially related to the much smaller number of BD patients compared to SCZ ones (8 of BD v. 25 of SCZ in Farrow et al. (Reference Farrow, Whitford, Williams, Gomes and Harris2005), 19 of BD v. 38 of SCZ in Molina et al. (Reference Molina, Galindo, Cortés, de, Alba, Ledo, Sanz, Montes and Hernández-Tamames2011)) characterising the two datasets. In the follow-up study by Farrow and colleagues (2005), after 2 years from illness onset, BD patients showed less GM in the left temporal cortex, right occipital cortex and left cerebellum. Cerebellar deficits emerged also in chronic BD patients v. chronic SCZ patients (Molina et al. Reference Molina, Galindo, Cortés, de, Alba, Ledo, Sanz, Montes and Hernández-Tamames2011). The authors additionally found lower GM volume in BD than in SCZ in left anterior cingulate, which is in line with the hypothesis that genetic risk for BD is associated with anterior cingulate deficits (McDonald et al. Reference McDonald, Bullmore, Sham, Chitnis, Wickham, Bramon and Murray2004).

With regard to the GM deficits associated with SCZ, a variety of cortical and subcortical regions emerged from the BD–SCZ comparisons. Three studies found in SCZ patients GM reductions at the level of cerebellum (Molina et al. Reference Molina, Galindo, Cortés, de, Alba, Ledo, Sanz, Montes and Hernández-Tamames2011; Ivleva et al. Reference Ivleva, Bidesi, Keshavan, Pearlson, Meda, Dodig, Moates, Lu, Francis and Tandon2013; Amann et al. Reference Amann, Canales-Rodríguez, Madre, Radua, Monte, Alonso-Lana, Landin-Romero, Moreno-Alcázar, Bonnin and Sarró2016), and basal ganglia (McDonald et al. Reference McDonald, Bullmore, Sham, Chitnis, Suckling, MacCabe, Walshe and Murray2005; Brown et al. Reference Brown, Lee, Strigo, Caligiuri, Meloy and Lohr2011; Ivleva et al. Reference Ivleva, Bidesi, Keshavan, Pearlson, Meda, Dodig, Moates, Lu, Francis and Tandon2013).

A number of works reported hippocampal (McDonald et al. Reference McDonald, Bullmore, Sham, Chitnis, Suckling, MacCabe, Walshe and Murray2005; Nenadic et al. Reference Nenadic, Maitra, Langbein, Dietzek, Lorenz, Smesny, Reichenbach, Sauer and Gaser2015a ; Brown et al. Reference Brown, Lee, Strigo, Caligiuri, Meloy and Lohr2011) amygdalar (McDonald et al. Reference McDonald, Bullmore, Sham, Chitnis, Suckling, MacCabe, Walshe and Murray2005; Brown et al. Reference Brown, Lee, Strigo, Caligiuri, Meloy and Lohr2011) and thalamic (McDonald et al. Reference McDonald, Bullmore, Sham, Chitnis, Suckling, MacCabe, Walshe and Murray2005; Molina et al. Reference Molina, Galindo, Cortés, de, Alba, Ledo, Sanz, Montes and Hernández-Tamames2011; Ivleva et al. Reference Ivleva, Bidesi, Keshavan, Pearlson, Meda, Dodig, Moates, Lu, Francis and Tandon2013; Nenadic et al. Reference Nenadic, Maitra, Langbein, Dietzek, Lorenz, Smesny, Reichenbach, Sauer and Gaser2015a ) deficits in SCZ when compared with BD. Given the key function of these structures in learning, memory, attention and information transmission, the GM deficits of these structures in SCZ patients seem to be consistent with the relevant cognitive impairment associated with SCZ (Andreasen et al. Reference Andreasen, Arndt, Swayze, Cizadlo, Flaum, O'Leary, Ehrhardt and Yuh1994; Brambilla et al. Reference Brambilla, Perlini, Rajagopalan, Saharan, Rambaldelli, Bellani, Dusi, Cerini, Pozzi Mucelli, Tansella and Thompson2013).

At the cortical level, a GM reduction in the frontal gyri was found to characterise SCZ compared with BD from the first phases of the illness (Farrow et al. Reference Farrow, Whitford, Williams, Gomes and Harris2005; McDonald et al. Reference McDonald, Bullmore, Sham, Chitnis, Suckling, MacCabe, Walshe and Murray2005; Molina et al. Reference Molina, Galindo, Cortés, de, Alba, Ledo, Sanz, Montes and Hernández-Tamames2011; Ivleva et al. Reference Ivleva, Bidesi, Keshavan, Pearlson, Meda, Dodig, Moates, Lu, Francis and Tandon2013; Nenadic et al. Reference Nenadic, Maitra, Langbein, Dietzek, Lorenz, Smesny, Reichenbach, Sauer and Gaser2015a ). Some studies reported lower GM volume in SCZ than in BD in the temporal lobe, mainly in insula and temporal gyri (McDonald et al. Reference McDonald, Bullmore, Sham, Chitnis, Suckling, MacCabe, Walshe and Murray2005; Ivleva et al. Reference Ivleva, Bidesi, Keshavan, Pearlson, Meda, Dodig, Moates, Lu, Francis and Tandon2013; Nenadic et al. Reference Nenadic, Maitra, Langbein, Dietzek, Lorenz, Smesny, Reichenbach, Sauer and Gaser2015a , Reference Nenadic, Maitra, Dietzek, Langbein, Smesny, Sauer and Gaser b ). A few works also reported occipito-parietal deficits associated with SCZ, mainly in lingual gyrus and precuneus (McDonald et al. Reference McDonald, Bullmore, Sham, Chitnis, Suckling, MacCabe, Walshe and Murray2005; Ivleva et al. Reference Ivleva, Bidesi, Thomas, Meda, Francis, Moates, Witte, Keshavan and Tamminga2012), as well as deficits in cingulum (Ivleva et al. Reference Ivleva, Bidesi, Keshavan, Pearlson, Meda, Dodig, Moates, Lu, Francis and Tandon2013) and subgenual cortex (Yuksel et al. Reference Yüksel, McCarthy, Shinn, Pfaff, Baker, Heckers, Renshaw and Öngür2012). The widespread GM deficits emerged from these studies may be related to the lower WM metabolism in frontal, parietal and temporal areas characterising SCZ in comparison with BD (Altamura et al. Reference Altamura, Bertoldo, Marotta, Paoli, Caletti, Dragogna, Buoli, Baglivo, Mauri and Brambilla2013).

In summary, the findings of the above SCZ–BD comparisons suggest the presence of GM differences between the two disorders, mainly consisting of volumetric deficits in SCZ compared with BD. While a minority of studies found GM deficits in BD, repeatedly in the cerebellum, most of them detected in SCZ GM reductions in fronto-temporal cortex, thalamus and hippocampal-amygdalar region, supporting the hypothesis that fronto-striato-thalamic and temporal deficits are present in SCZ (McDonald et al. Reference McDonald, Bullmore, Sham, Chitnis, Wickham, Bramon and Murray2004).

The above GM changes may reflect partially different aetiologies, changes in the illness progression over years, different medication effects, or a combination of these factors. A plausible explanation comes from post-mortem examinations (Selemon & Rajkowska, Reference Selemon and Rajkowska2003), which found in dorsolateral prefrontal cortex altered packing with increased neuronal density in SCZ, as opposed to decreased neuronal density in BD, suggesting specific anatomical underpinnings for the two disorders. Future research in this direction, using novel morphometric parameters (such as local gyrification (Nenadic et al. Reference Nenadic, Maitra, Langbein, Dietzek, Lorenz, Smesny, Reichenbach, Sauer and Gaser2015 Reference Nenadic, Maitra, Dietzek, Langbein, Smesny, Sauer and Gaser b ) and labelled cortical distance (Ratnanather et al. Reference Ratnanather, Cebron, Ceyhan, Postell, Pisano, Poynton, Crocker, Honeycutt, Mahon and Barta2014)) and advanced multimodal processing techniques (such as support vector machine algorithms), opens the door to the development of instruments with higher diagnostic specificity. Significant evidence on SCZ and BD can also come from trans-diagnostic analyses that look at common dimensions of functioning across the two disorders (e.g., Goodkind et al. Reference Goodkind, Eickhoff, Oathes, Jiang, Chang, Jones-Hagata, Ortega, Zaiko, Roach, Korgaonkar, Galatzer-Levy, Fox and Etkin2015), in line with the recent Research Domain Criteria.

Financial Support

Grant support of Dr Maggioni was provided by the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 602450 (IMAGEMEND Project). Professor Brambilla and Dr Bellani were partly supported by the Italian Ministry of Health (RF-2011-02352308 to Professor Brambilla and GR-2010-2319022 to Dr Bellani) and by the BIAL Foundation to Professor. Brambilla (Fellowship no. 262/12).

Conflict of Interest

None.

Ethical Standard

The authors declare that no human or animal experimentation was conducted for this work.

Footnotes

This Section of Epidemiology and Psychiatric Sciences appears in each issue of the Journal to stress the relevance of epidemiology for behavioral neurosciences, reporting the results of studies that explore the use of an epidemiological approach to provide a better understanding of the neural basis of major psychiatric disorders and, in turn, the utilisation of the behavioural neurosciences for promoting innovative epidemiological research.

The ultimate aim is to help the translation of most relevant research findings into every-day clinical practice. These contributions are written in house by the journal's editorial team or commissioned by the Section Editor (no more than 1000 words, short unstructured abstract, 4 key-words, one Table or Figure and up to ten references).

Paolo Brambilla, Section Editor

References

Altamura, AC, Bertoldo, A, Marotta, G, Paoli, RA, Caletti, E, Dragogna, F, Buoli, M, Baglivo, V, Mauri, MC, Brambilla, P (2013). White matter metabolism differentiates schizophrenia and bipolar disorder: a preliminary PET study. Psychiatry Research: Neuroimaging 214, 410414.Google Scholar
Amann, B, Canales-Rodríguez, E, Madre, M, Radua, J, Monte, G, Alonso-Lana, S, Landin-Romero, R, Moreno-Alcázar, A, Bonnin, C, Sarró, S (2016). Brain structural changes in schizoaffective disorder compared to schizophrenia and bipolar disorder. Acta Psychiatr Scand 133, 2333.Google Scholar
Andreasen, NC, Arndt, S, Swayze, V II, Cizadlo, T, Flaum, M, O'Leary, D, Ehrhardt, JC, Yuh, WT (1994). Thalamic abnormalities in schizophrenia visualized through magnetic resonance image averaging. Science 266, 294298.Google Scholar
Arnone, D, Cavanagh, J, Gerber, D, Lawrie, S, Ebmeier, K, McIntosh, A (2009). Magnetic resonance imaging studies in bipolar disorder and schizophrenia: meta-analysis. British Journal of Psychiatry 195, 194201.Google Scholar
Bora, E, Fornito, A, Yücel, M, Pantelis, C (2012). The effects of gender on grey matter abnormalities in major psychoses: a comparative voxelwise meta-analysis of schizophrenia and bipolar disorder. Psychological Medicine 42, 295307.Google Scholar
Brambilla, P, Cerini, R, Gasparini, A, Versace, A, Andreone, N, Vittorini, E, Barbui, C, Pelizza, L, Nosè, M, Barlocco, L (2005). Investigation of corpus callosum in schizophrenia with diffusion imaging. Schizophrenia Research 79, 201210.Google Scholar
Brambilla, P, Bellani, M, Yeh, P, Soares, JC, Tansella, M (2009). White matter connectivity in bipolar disorder. International Review of Psychiatry 21, 380386.Google Scholar
Brambilla, P, Perlini, C, Rajagopalan, P, Saharan, P, Rambaldelli, G, Bellani, M, Dusi, N, Cerini, R, Pozzi Mucelli, R, Tansella, M, Thompson, PM (2013). Schizophrenia severity, social functioning and hippocampal neuroanatomy: three-dimensional mapping study. British Journal of Psychiatry 202, 5055.Google Scholar
Brown, GG, Lee, J, Strigo, IA, Caligiuri, MP, Meloy, M, Lohr, J (2011). Voxel-based morphometry of patients with schizophrenia or bipolar I disorder: a matched control study. Psychiatry Research: Neuroimaging 194, 149156.Google Scholar
Cui, L, Li, M, Deng, W, Guo, W, Ma, X, Huang, C, Jiang, L, Wang, Y, Collier, DA, Gong, Q (2011). Overlapping clusters of gray matter deficits in paranoid schizophrenia and psychotic bipolar mania with family history. Neuroscience Letters 489, 9498.Google Scholar
Ellison Wright, I, Bullmore, E (2010). Anatomy of bipolar disorder and schizophrenia: a meta-analysis. Schizophrenia Research 117, 112.Google Scholar
Farrow, TF, Whitford, TJ, Williams, LM, Gomes, L, Harris, AW (2005). Diagnosis-related regional gray matter loss over two years in first episode schizophrenia and bipolar disorder. Biological Psychiatry 58, 713723.Google Scholar
Fischer, BA, Carpenter, WT (2009). Will the Kraepelinian Dichotomy Survive DSM-V. Neuropsychopharmacology 34, 20812087.Google Scholar
Goodkind, M, Eickhoff, SB, Oathes, DJ, Jiang, Y, Chang, A, Jones-Hagata, LB, Ortega, BN, Zaiko, YV, Roach, EL, Korgaonkar, MS, Galatzer-Levy, I, Fox, PT, Etkin, A (2015). Identification of a common neurobiological substrate for mental illness. JAMA Psychiatry 72, 305315.Google Scholar
Hill, SK, Reilly, JL, Keefe, RS, Gold, JM, Bishop, JR, Gershon, ES, Tamminga, CA, Pearlson, GD, Keshavan, MS, Sweeney, JA (2013). Neuropsychological impairments in schizophrenia and psychotic bipolar disorder: findings from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) study. American Journal of Psychiatry 170, 12751284.Google Scholar
Ivleva, EI, Bidesi, AS, Thomas, BP, Meda, SA, Francis, A, Moates, AF, Witte, B, Keshavan, MS, Tamminga, CA (2012). Brain gray matter phenotypes across the psychosis dimension. Psychiatry Research: Neuroimaging 204, 1324.Google Scholar
Ivleva, EI, Bidesi, AS, Keshavan, MS, Pearlson, GD, Meda, SA, Dodig, D, Moates, AF, Lu, H, Francis, AN, Tandon, N (2013). Gray matter volume as an intermediate phenotype for psychosis: Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP). American Journal of Psychiatry 170, 12851296.Google Scholar
Lichtenstein, P, Yip, BH, Björk, C, Pawitan, Y, Cannon, TD, Sullivan, PF, Hultman, CM (2009). Common genetic determinants of schizophrenia and bipolar disorder in Swedish families: a population-based study. Lancet 373, 234239.Google Scholar
McDonald, C, Bullmore, ET, Sham, PC, Chitnis, X, Wickham, H, Bramon, E, Murray, RM (2004). Association of genetic risks for schizophrenia and bipolar disorder with specific and generic brain structural endophenotypes. Archives of General Psychiatry 61, 974984.Google Scholar
McDonald, C, Bullmore, E, Sham, P, Chitnis, X, Suckling, J, MacCabe, J, Walshe, M, Murray, RM (2005). Regional volume deviations of brain structure in schizophrenia and psychotic bipolar disorder Computational morphometry study. British Journal of Psychiatry 186, 369377.Google Scholar
Molina, V, Galindo, G, Cortés, B, de, Herrera, Alba, G Seco, Ledo, A, Sanz, J, Montes, C, Hernández-Tamames, JA (2011). Different gray matter patterns in chronic schizophrenia and chronic bipolar disorder patients identified using voxel-based morphometry. European Archives of Psychiatry and Clinical Neuroscience 261, 313322.Google Scholar
Nenadic, I, Maitra, R, Langbein, K, Dietzek, M, Lorenz, C, Smesny, S, Reichenbach, JR, Sauer, H, Gaser, C (2015 a). Brain structure in schizophrenia vs. psychotic bipolar I disorder: a VBM study. Schizophrenia Research 165, 212219.Google Scholar
Nenadic, I, Maitra, R, Dietzek, M, Langbein, K, Smesny, S, Sauer, H, Gaser, C (2015 b). Prefrontal gyrification in psychotic bipolar I disorder vs. schizophrenia. Journal of Affective Disorders 185, 104107.Google Scholar
Ratnanather, JT, Cebron, S, Ceyhan, E, Postell, E, Pisano, DV, Poynton, CB, Crocker, B, Honeycutt, NA, Mahon, PM, Barta, PE (2014). Morphometric differences in planum temporale in schizophrenia and bipolar disorder revealed by statistical analysis of labeled cortical depth maps. Frontiers in Psychiatry 5, 17.Google Scholar
Selemon, L, Rajkowska, G (2003). Cellular pathology in the dorsolateral prefrontal cortex distinguishes schizophrenia from bipolar disorder. Current Molecular Medicine 3, 427436.Google Scholar
Selvaraj, S, Arnone, D, Job, D, Stanfield, A, Farrow, TF, Nugent, AC, Scherk, H, Gruber, O, Chen, X, Sachdev, PS (2012). Grey matter differences in bipolar disorder: a meta-analysis of voxel-based morphometry studies. Bipolar Disorder 14, 135145.Google Scholar
Yu, K, Cheung, C, Leung, M, Li, Q, Chua, S, McAlonan, G (2010). Are bipolar disorder and schizophrenia neuroanatomically distinct? An anatomical likelihood meta-analysis. Frontiers in Human Neuroscience 4, 3389.Google Scholar
Yüksel, C, McCarthy, J, Shinn, A, Pfaff, DL, Baker, JT, Heckers, S, Renshaw, P, Öngür, D (2012). Gray matter volume in schizophrenia and bipolar disorder with psychotic features. Schizophrenia Research 138, 177182.Google Scholar
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Table 1. Selection of studies comparing SCZ and BD in terms of GM volume using voxel-based approaches