Plaeschke, Rachel N., Cieslik, Edna C., Mueller, Veronika I., Hoffstaedter, Felix, Plachti, Anna, Varikuti, Deepthi P., Goosses, Mareike, Latz, Anne, Caspers, Svenja ORCID: 0000-0001-5083-4669, Jockwitz, Christiane, Moebus, Susanne, Gruber, Oliver, Eickhoff, Claudia R., Reetz, Kathrin, Heller, Julia, Suedmeyer, Martin, Mathys, Christian, Caspers, Julian, Grefkes, Christian ORCID: 0000-0002-1656-720X, Kalenscher, Tobias ORCID: 0000-0002-0358-9020, Langner, Robert ORCID: 0000-0002-3237-001X and Eickhoff, Simon B. ORCID: 0000-0001-6363-2759 (2017). On the Integrity of Functional Brain Networks in Schizophrenia, Parkinson's Disease, and Advanced Age: Evidence from Connectivity-Based Single-Subject Classification. Hum. Brain Mapp., 38 (12). S. 5845 - 5859. HOBOKEN: WILEY. ISSN 1097-0193

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Abstract

Previous whole-brain functional connectivity studies achieved successful classifications of patients and healthy controls but only offered limited specificity as to affected brain systems. Here, we examined whether the connectivity patterns of functional systems affected in schizophrenia (SCZ), Parkinson's disease (PD), or normal aging equally translate into high classification accuracies for these conditions. We compared classification performance between pre-defined networks for each group and, for any given network, between groups. Separate support vector machine classifications of 86 SCZ patients, 80 PD patients, and 95 older adults relative to their matched healthy/young controls, respectively, were performed on functional connectivity in 12 task-based, meta-analytically defined networks using 25 replications of a nested 10-fold cross-validation scheme. Classification performance of the various networks clearly differed between conditions, as those networks that best classified one disease were usually non-informative for the other. For SCZ, but not PD, emotion-processing, empathy, and cognitive action control networks distinguished patients most accurately from controls. For PD, but not SCZ, networks subserving autobiographical or semantic memory, motor execution, and theory-of-mind cognition yielded the best classifications. In contrast, young-old classification was excellent based on all networks and outperformed both clinical classifications. Our pattern-classification approach captured associations between clinical and developmental conditions and functional network integrity with a higher level of specificity than did previous whole-brain analyses. Taken together, our results support resting-state connectivity as a marker of functional dysregulation in specific networks known to be affected by SCZ and PD, while suggesting that aging affects network integrity in a more global way. (C) 2017 Wiley Periodicals, Inc.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Plaeschke, Rachel N.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Cieslik, Edna C.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Mueller, Veronika I.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hoffstaedter, FelixUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Plachti, AnnaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Varikuti, Deepthi P.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Goosses, MareikeUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Latz, AnneUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Caspers, SvenjaUNSPECIFIEDorcid.org/0000-0001-5083-4669UNSPECIFIED
Jockwitz, ChristianeUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Moebus, SusanneUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Gruber, OliverUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Eickhoff, Claudia R.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Reetz, KathrinUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Heller, JuliaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Suedmeyer, MartinUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Mathys, ChristianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Caspers, JulianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Grefkes, ChristianUNSPECIFIEDorcid.org/0000-0002-1656-720XUNSPECIFIED
Kalenscher, TobiasUNSPECIFIEDorcid.org/0000-0002-0358-9020UNSPECIFIED
Langner, RobertUNSPECIFIEDorcid.org/0000-0002-3237-001XUNSPECIFIED
Eickhoff, Simon B.UNSPECIFIEDorcid.org/0000-0001-6363-2759UNSPECIFIED
URN: urn:nbn:de:hbz:38-210133
DOI: 10.1002/hbm.23763
Journal or Publication Title: Hum. Brain Mapp.
Volume: 38
Number: 12
Page Range: S. 5845 - 5859
Date: 2017
Publisher: WILEY
Place of Publication: HOBOKEN
ISSN: 1097-0193
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
COGNITIVE IMPAIRMENT; PATTERN-RECOGNITION; ALE METAANALYSIS; WORKING-MEMORY; DOPAMINE; NEUROSCIENCE; ACTIVATION; DIAGNOSIS; DEMENTIA; SUPPORTMultiple languages
Neurosciences; Neuroimaging; Radiology, Nuclear Medicine & Medical ImagingMultiple languages
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/21013

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