Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020:25:102131.
doi: 10.1016/j.nicl.2019.102131. Epub 2019 Dec 13.

Structural abnormality in schizophrenia versus bipolar disorder: A whole brain cortical thickness, surface area, volume and gyrification analyses

Affiliations

Structural abnormality in schizophrenia versus bipolar disorder: A whole brain cortical thickness, surface area, volume and gyrification analyses

Mercè Madre et al. Neuroimage Clin. 2020.

Abstract

Objectives: The profiles of cortical abnormalities in schizophrenia and bipolar disorder, and how far they resemble each other, have only been studied to a limited extent. The aim of this study was to identify and compare the changes in cortical morphology associated with these pathologies.

Methods: A total of 384 subjects, including 128 patients with schizophrenia, 128 patients with bipolar disorder and 127 sex-age-matched healthy subjects, were examined using cortical surface-based morphology. Four cortical structural measures were studied: cortical volume (CV), cortical thickness (CT), surface area (SA) and gyrification index (GI). Group comparisons for each separate cortical measure were conducted.

Results: At a threshold of P = 0.05 corrected, both patient groups showed significant widespread CV and CT reductions in similar areas compared to healthy subjects. However, the changes in schizophrenia were more pronounced. While CV decrease in bipolar disorder was exclusively explained by cortical thinning, in schizophrenia it was driven by changes in CT and partially by SA. Reduced GI was only found in schizophrenia. The direct comparison between both disorders showed significant reductions in all measures in patients with schizophrenia.

Conclusions: Cortical volume and cortical thickness deficits are shared between patients with schizophrenia and bipolar disorder, suggesting that both pathologies may be affected by similar environmental and neurodegenerative factors. However, the exclusive alteration in schizophrenia of metrics related to the geometry and curvature of the brain cortical surface (SA, GI) suggests that this group is influenced by additional neurodevelopmental and genetic factors.

Keywords: Bipolar disorder; Cortical thickness; Gyrification index; Neuroimaging; Schizophrenia; Surface area; Surface-based morphometry.

PubMed Disclaimer

Conflict of interest statement

Declaration of Competing of Interest All authors declare that they have no conflicts of interest.

Figures

Fig. 1
Fig. 1
Brain regions showing significant statistical differences between patients with schizophrenia and healthy subjects at p = 0.05, corrected for multiple comparisons across space. Panels depict cortical volume (a), cortical thickness (b), cortical surface area (c), and gyrification index (d), respectively. The right side of the image represents the left side of the brain. The statistical maps show uncorrected values (i.e., sig = −log10(p)) masked by the significant clusters. The statistical results were only significant in the direction of reduced values in patients.
Fig. 2
Fig. 2
Brain regions showing significant statistical differences between patients with bipolar disorder and healthy subjects at p = 0.05, corrected for multiple comparisons across space. Left and right panels depict cortical volume (a) and cortical thickness (b), respectively. The right side of the image represents the left side of the brain. The statistical maps show uncorrected values (i.e., sig = −log10(p)) masked by the significant clusters. The statistical results were only significant in the direction of reduced values in patients.
Fig. 3
Fig. 3
Brain regions showing significant statistical differences between patients with schizophrenia and patients with bipolar disorder at p = 0.05, corrected for multiple comparisons across space. Panels depict cortical volume (a), cortical thickness (b), cortical surface area (c), and gyrification index (d), respectively. The right side of the image represents the left side of the brain. The statistical maps show uncorrected values (i.e., sig = −log10(p)) masked by the significant clusters. The statistical results were only significant in the direction of reduced values in patients with schizophrenia.

References

    1. Amann BL, Canales-Rodriguez EJ, Madre M. Brain structural changes in schizoaffective disorder compared to schizophrenia and bipolar disorder. Acta Psychiatr. Scand. 2016;133(1):23–33. - PMC - PubMed
    1. Arnone D, Cavanagh J, Gerber D, Lawrie SM, Ebmeier KP, McIntosh AM. Magnetic resonance imaging studies in bipolar disorder and schizophrenia: meta-analysis. Br. J. Psychiatry. 2009;195(3):194–201. - PubMed
    1. Birnbaum R, Weinberger DR. Genetic insights into the neurodevelopmental origins of schizophrenia. Nat. Rev. Neurosci. 2017;18:727. - PubMed
    1. Bora E, Fornito A, Radua J. Neuroanatomical abnormalities in schizophrenia: a multimodal voxelwise meta-analysis and meta-regression analysis. Schizophr. Res. 2011;127(1-3):46–57. - PubMed
    1. Brown GG, Lee JS, Strigo IA, Caligiuri MP, Meloy MJ, Lohr J. Voxel-based morphometry of patients with schizophrenia or bipolar I disorder: a matched control study. Psychiatry Res. 2011;194(2):149–156. - PMC - PubMed

Publication types