Covarying structural alterations in laterality of the temporal lobe in schizophrenia: A case for source-based laterality.

Autor: DeRamus TP; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA., Silva RF; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA., Iraji A; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA., Damaraju E; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA., Belger A; Department of Psychiatry, University of North Carolina Chapel Hill, North Carolina, USA., Ford JM; Department of Psychiatry, University of California San Francisco, San Francisco, California, USA., McEwen SC; Pacific Neuroscience Institute Foundation, Santa Monica, California, USA., Mathalon DH; Department of Psychiatry, University of California San Francisco, San Francisco, California, USA., Mueller BA; Department of Psychiatry, University of Minnesota, Minneapolis, Minnesota, USA., Pearlson GD; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.; Olin Neuropsychiatry Research Center, Institute of Living, Hartford, Connecticut, USA., Potkin SG; Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, California, USA., Preda A; Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, California, USA., Turner JA; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA.; Department of Psychology, Georgia State University, Georgia, USA., Vaidya JG; Department of Psychiatry, University of Iowa, Iowa, USA., van Erp TGM; Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, California, USA., Calhoun VD; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA.; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.; Department of Psychology, Georgia State University, Georgia, USA.; Department of Electrical and Computer Engineering, Georgia Tech, Georgia, USA.
Jazyk: angličtina
Zdroj: NMR in biomedicine [NMR Biomed] 2020 Jun; Vol. 33 (6), pp. e4294. Date of Electronic Publication: 2020 Mar 23.
DOI: 10.1002/nbm.4294
Abstrakt: The human brain is asymmetrically lateralized for certain functions (such as language processing) to regions in one hemisphere relative to the other. Asymmetries are measured with a laterality index (LI). However, traditional LI measures are limited by a lack of consensus on metrics used for its calculation. To address this limitation, source-based laterality (SBL) leverages an independent component analysis for the identification of laterality-specific alterations, identifying covarying components between hemispheres across subjects. SBL is successfully implemented with simulated data with inherent differences in laterality. SBL is then compared with a voxel-wise analysis utilizing structural data from a sample of patients with schizophrenia and controls without schizophrenia. SBL group comparisons identified three distinct temporal regions and one cerebellar region with significantly altered laterality in patients with schizophrenia relative to controls. Previous work highlights reductions in laterality (ie, reduced left gray matter volume) in patients with schizophrenia compared with controls without schizophrenia. Results from this pilot SBL project are the first, to our knowledge, to identify covarying laterality differences within discrete temporal brain regions. The authors argue SBL provides a unique focus to detect covarying laterality differences in patients with schizophrenia, facilitating the discovery of laterality aspects undetected in previous work.
(© 2020 John Wiley & Sons, Ltd.)
Databáze: MEDLINE
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