Lanxin Ji1, Shashwath A Meda2, Carol A Tamminga3, Brett A Clementz4, Matcheri S Keshavan5, John A Sweeney3, Elliot S Gershon6, Godfrey D Pearlson7. 1. Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, CT, USA; Department of Psychiatry, Yale University, New Haven, CT, USA; Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China. 2. Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, CT, USA. 3. Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA. 4. Department of Psychology, University of Georgia, Athens, GA, USA. 5. Department of Psychiatry, Beth Israel Deaconess Hospital, Harvard Medical School, Boston, MA, USA. 6. Department of Psychiatry, University of Chicago, Chicago, IL, USA. 7. Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, CT, USA; Department of Psychiatry, Yale University, New Haven, CT, USA; Department of Neuroscience, Yale University, New Haven, CT, USA. Electronic address: Godfrey.Pearlson@yale.edu.
Abstract
BACKGROUND: Recently, a biologically-driven psychosis classification (B-SNIP Biotypes) was derived using brain-based cognitive and electrophysiological markers. Here, we characterized a local functional-connectivity measure, regional homogeneity (ReHo), as a biomarker across Biotypes and conventional DSM diagnoses. METHODS: Whole-brain ReHo measures of resting-state functional MRI were examined in psychosis patients and healthy controls organized by Biotype and by DSM-IV-TR diagnosis (n = 737). Group-level ANOVA and individual-level prediction models using support vector machines (SVM) were employed to evaluate the discriminative characteristics in comparisons of 1) DSM diagnostic groups, 2) Biotypes, to controls, and 3) within-proband subgroups with each other. RESULTS: Probands grouped by Biotype versus controls showed a unique abnormality pattern: Biotype-1 displayed bidirectional ReHo differences in more widespread areas, with higher ReHo in para-hippocampus, fusiform, inferior temporal, cerebellum, thalamus and caudate, plus lower ReHo in the postcentral gyrus, middle temporal, cuneus, and middle occipital cortex; Biotype-2 and Biotype-3 showed lesser and unidirectional ReHo changes. Among diagnostic groups, only schizophrenia showed higher ReHo versus control values in the inferior/middle temporal area and fusiform gyrus. For within-patient comparisons, Biotype-1 showed characteristic ReHo when compared to Biotype-2 and Biotype-3. SVM results more accurately identified Biotypes than DSM diagnoses. CONCLUSION: We characterized patterns of ReHo abnormalities across both Biotypes and DSM sub-groups. Both group-level statistical and machine-learning methods were more sensitive in capturing ReHo deficits in Biotypes than DSM. Overall ReHo is a robust psychosis biomarker.
BACKGROUND: Recently, a biologically-driven psychosis classification (B-SNIP Biotypes) was derived using brain-based cognitive and electrophysiological markers. Here, we characterized a local functional-connectivity measure, regional homogeneity (ReHo), as a biomarker across Biotypes and conventional DSM diagnoses. METHODS: Whole-brain ReHo measures of resting-state functional MRI were examined in psychosispatients and healthy controls organized by Biotype and by DSM-IV-TR diagnosis (n = 737). Group-level ANOVA and individual-level prediction models using support vector machines (SVM) were employed to evaluate the discriminative characteristics in comparisons of 1) DSM diagnostic groups, 2) Biotypes, to controls, and 3) within-proband subgroups with each other. RESULTS: Probands grouped by Biotype versus controls showed a unique abnormality pattern: Biotype-1 displayed bidirectional ReHo differences in more widespread areas, with higher ReHo in para-hippocampus, fusiform, inferior temporal, cerebellum, thalamus and caudate, plus lower ReHo in the postcentral gyrus, middle temporal, cuneus, and middle occipital cortex; Biotype-2 and Biotype-3 showed lesser and unidirectional ReHo changes. Among diagnostic groups, only schizophrenia showed higher ReHo versus control values in the inferior/middle temporal area and fusiform gyrus. For within-patient comparisons, Biotype-1 showed characteristic ReHo when compared to Biotype-2 and Biotype-3. SVM results more accurately identified Biotypes than DSM diagnoses. CONCLUSION: We characterized patterns of ReHo abnormalities across both Biotypes and DSM sub-groups. Both group-level statistical and machine-learning methods were more sensitive in capturing ReHo deficits in Biotypes than DSM. Overall ReHo is a robust psychosis biomarker.
Authors: Amanda L Rodrigue; Dana Mastrovito; Oscar Esteban; Joke Durnez; Marinka M G Koenis; Ronald Janssen; Aaron Alexander-Bloch; Emma M Knowles; Samuel R Mathias; Josephine Mollon; Godfrey D Pearlson; Sophia Frangou; John Blangero; Russell A Poldrack; David C Glahn Journal: Biol Psychiatry Cogn Neurosci Neuroimaging Date: 2020-12-16
Authors: Carol A Tamminga; Brett A Clementz; Godfrey Pearlson; Macheri Keshavan; Elliot S Gershon; Elena I Ivleva; Jennifer McDowell; Shashwath A Meda; Sarah Keedy; Vince D Calhoun; Paulo Lizano; Jeffrey R Bishop; Matthew Hudgens-Haney; Ney Alliey-Rodriguez; Huma Asif; Robert Gibbons Journal: Neuropsychopharmacology Date: 2020-09-26 Impact factor: 8.294
Authors: Synthia Guimond; Feng Gu; Holly Shannon; Sinead Kelly; Luke Mike; Gabriel A Devenyi; M Mallar Chakravarty; John A Sweeney; Godfrey Pearlson; Brett A Clementz; Carol Tamminga; Matcheri Keshavan Journal: Schizophr Bull Date: 2021-10-21 Impact factor: 7.348