Open AccessTemporal lobe and “default” hemodynamic brain modes discriminate between schizophrenia and bipolar disorder
Author(s) -
Calhoun Vince D.,
Maciejewski Paul K.,
Pearlson Godfrey D.,
Kiehl Kent A.
Publication year - 2008
Publication title -
human brain mapping
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.005
H-Index - 191
eISSN - 1097-0193
pISSN - 1065-9471
DOI - 10.1002/hbm.20463
Subject(s) - default mode network , temporal lobe , schizophrenia (object oriented programming) , bipolar disorder , psychology , neuroscience , biomarker , functional magnetic resonance imaging , brain activity and meditation , frontal lobe , brain mapping , cognition , psychiatry , electroencephalography , biochemistry , chemistry , epilepsy
Schizophrenia and bipolar disorder are currently diagnosed on the basis of psychiatric symptoms and longitudinal course. The determination of a reliable, biologically‐based diagnostic indicator of these diseases (a biomarker) could provide the groundwork for developing more rigorous tools for differential diagnosis and treatment assignment. Recently, methods have been used to identify distinct sets of brain regions or “spatial modes” exhibiting temporally coherent brain activity. Using functional magnetic resonance imaging (fMRI) data and a multivariate analysis method, independent component analysis, we combined the temporal lobe and the default modes to discriminate subjects with bipolar disorder, chronic schizophrenia, and healthy controls. Temporal lobe and default mode networks were reliably identified in all participants. Classification results on an independent set of individuals revealed an average sensitivity and specificity of 90 and 95%, respectively. The use of coherent brain networks such as the temporal lobe and default mode networks may provide a more reliable measure of disease state than task‐correlated fMRI activity. A combination of two such hemodynamic brain networks shows promise as a biomarker for schizophrenia and bipolar disorder. Hum Brain Mapp 2008. © 2007 Wiley‐Liss, Inc.