biostudies-literatureUnknown16Rootes-Murdy K<h4>Background</h4>Structural neuroimaging studies have identified similarities in the brains of individuals diagnosed with schizophrenia (SZ) and bipolar I disorder (BP), with overlap in regions of gray matter (GM) deficits between the two disorders. Recent studies have also shown that the symptom phenotypes associated with SZ and BP may allow for a more precise categorization than the current diagnostic criteria. In this study, we sought to identify GM alterations that were unique to each disorder and whether those alterations were also related to unique symptom profiles.<h4>Materials and methods</h4>We analyzed the GM patterns and clinical symptom presentations using independent component analysis (ICA), hierarchical clustering, and n-way biclustering in a large (<i>N</i> ∼ 3,000), mergFrontiers in human neuroscience1001692https://www.ebi.ac.uk/biostudies/studies/S-EPMC9684186biostudies-literatureClinical and cortical similarities identified between bipolar disorder I and schizophrenia: A multivariate approach.PMC9684186Buchanan RWLiu JPearlson GDChen JRootes-Murdy KEdmond JTMalhotra AHong EWestlye LTVoineskos AWang LKochunov PTamminga CAEhrlich STurner JAAndreassen OAJiang WRahaman MAAgartz ICalhoun VDJonsson EGGlahn DCPerrone-Bizzozero NIvan Erp TGMfalseClinical and cortical similarities identified between bipolar disorder I and schizophrenia: A multivariate approach.<h4>Background</h4>Structural neuroimaging studies have identified similarities in the brains of individuals diagnosed with schizophrenia (SZ) and bipolar I disorder (BP), with overlap in regions of gray matter (GM) deficits between the two disorders. Recent studies have also shown that the symptom phenotypes associated with SZ and BP may allow for a more precise categorization than the current diagnostic criteria. In this study, we sought to identify GM alterations that were unique to each disorder and whether those alterations were also related to unique symptom profiles.<h4>Materials and methods</h4>We analyzed the GM patterns and clinical symptom presentations using independent component analysis (ICA), hierarchical clustering, and n-way biclustering in a large (<i>N</i> ∼ 3,000), merg2022-01-01T00:00:00Z20222025-04-21T21:24:21.429Z2025-04-05T18:21:56.421ZS-EPMC96841863643863310.3389/fnhum.2022.1001692