PMID- 29105239 OWN - NLM STAT- MEDLINE DCOM- 20181211 LR - 20200614 IS - 1097-0193 (Electronic) IS - 1065-9471 (Print) IS - 1065-9471 (Linking) VI - 39 IP - 2 DP - 2018 Feb TI - Different shades of default mode disturbance in schizophrenia: Subnodal covariance estimation in structure and function. PG - 644-661 LID - 10.1002/hbm.23870 [doi] AB - Schizophrenia is a devastating mental disease with an apparent disruption in the highly associative default mode network (DMN). Interplay between this canonical network and others probably contributes to goal-directed behavior so its disturbance is a candidate neural fingerprint underlying schizophrenia psychopathology. Previous research has reported both hyperconnectivity and hypoconnectivity within the DMN, and both increased and decreased DMN coupling with the multimodal saliency network (SN) and dorsal attention network (DAN). This study systematically revisited network disruption in patients with schizophrenia using data-derived network atlases and multivariate pattern-learning algorithms in a multisite dataset (n = 325). Resting-state fluctuations in unconstrained brain states were used to estimate functional connectivity, and local volume differences between individuals were used to estimate structural co-occurrence within and between the DMN, SN, and DAN. In brain structure and function, sparse inverse covariance estimates of network coupling were used to characterize healthy participants and patients with schizophrenia, and to identify statistically significant group differences. Evidence did not confirm that the backbone of the DMN was the primary driver of brain dysfunction in schizophrenia. Instead, functional and structural aberrations were frequently located outside of the DMN core, such as in the anterior temporoparietal junction and precuneus. Additionally, functional covariation analyses highlighted dysfunctional DMN-DAN coupling, while structural covariation results highlighted aberrant DMN-SN coupling. Our findings reframe the role of the DMN core and its relation to canonical networks in schizophrenia. We thus underline the importance of large-scale neural interactions as effective biomarkers and indicators of how to tailor psychiatric care to single patients. CI - (c) 2017 Wiley Periodicals, Inc. FAU - Lefort-Besnard, Jeremy AU - Lefort-Besnard J AUID- ORCID: 0000-0002-8033-4953 AD - Department of Psychiatry, Psychotherapy, and Psychosomatics, RWTH Aachen University, Germany. FAU - Bassett, Danielle S AU - Bassett DS AUID- ORCID: 0000-0002-6183-4493 AD - Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, 19104, USA. AD - Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, Pennsylvania, 19104, USA. FAU - Smallwood, Jonathan AU - Smallwood J AD - Department of Psychology, University of York, Heslington, United Kingdom. FAU - Margulies, Daniel S AU - Margulies DS AD - Max Planck Research Group for Neuroanatomy and Connectivity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, 04103, Germany. FAU - Derntl, Birgit AU - Derntl B AD - Department of Psychiatry, Psychotherapy, and Psychosomatics, RWTH Aachen University, Germany. AD - Julich Aachen Research Alliance (JARA) - Translational Brain Medicine, Aachen, Germany. AD - Department of Psychiatry and Psychotherapy, University of Tubingen, Germany. FAU - Gruber, Oliver AU - Gruber O AD - Department of Psychiatry, University of Heidelberg, Germany. FAU - Aleman, Andre AU - Aleman A AD - BCN Neuroimaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands. FAU - Jardri, Renaud AU - Jardri R AD - Division of Psychiatry, University of Lille, CNRS UMR9193, SCALab & CHU Lille, Fontan Hospital, CURE platform, Lille, 59000, France. FAU - Varoquaux, Gael AU - Varoquaux G AD - Parietal Team, INRIA/Neurospin Saclay, France. FAU - Thirion, Bertrand AU - Thirion B AUID- ORCID: 0000-0001-5018-7895 AD - Parietal Team, INRIA/Neurospin Saclay, France. FAU - Eickhoff, Simon B AU - Eickhoff SB AD - Institute of Systems Neuroscience, Heinrich-Heine University, Dusseldorf, Germany. AD - Institute of Neuroscience and Medicine (INM-7), Research Centre Julich, 52425, Germany. FAU - Bzdok, Danilo AU - Bzdok D AD - Department of Psychiatry, Psychotherapy, and Psychosomatics, RWTH Aachen University, Germany. AD - Julich Aachen Research Alliance (JARA) - Translational Brain Medicine, Aachen, Germany. AD - Parietal Team, INRIA/Neurospin Saclay, France. LA - eng GR - R01 HD086888/HD/NICHD NIH HHS/United States GR - R01 NS099348/NS/NINDS NIH HHS/United States GR - R21 MH106799/MH/NIMH NIH HHS/United States PT - Journal Article PT - Research Support, N.I.H., Extramural PT - Research Support, Non-U.S. Gov't PT - Research Support, U.S. Gov't, Non-P.H.S. DEP - 20171103 PL - United States TA - Hum Brain Mapp JT - Human brain mapping JID - 9419065 SB - IM MH - Algorithms MH - Brain/*diagnostic imaging/*physiopathology MH - Brain Mapping/methods MH - Humans MH - Magnetic Resonance Imaging MH - Neural Pathways/diagnostic imaging/physiopathology MH - Rest MH - Schizophrenia/*diagnostic imaging/*physiopathology PMC - PMC5764781 MID - NIHMS915596 OTO - NOTNLM OT - default mode network proper OT - functional connectivity OT - machine learning OT - neuroimaging OT - schizophrenia OT - sparse inverse covariance estimation OT - sparsity OT - structural covariance EDAT- 2017/11/07 06:00 MHDA- 2018/12/12 06:00 PMCR- 2017/11/03 CRDT- 2017/11/07 06:00 PHST- 2017/09/25 00:00 [received] PHST- 2017/10/20 00:00 [revised] PHST- 2017/10/20 00:00 [accepted] PHST- 2017/11/07 06:00 [pubmed] PHST- 2018/12/12 06:00 [medline] PHST- 2017/11/07 06:00 [entrez] PHST- 2017/11/03 00:00 [pmc-release] AID - HBM23870 [pii] AID - 10.1002/hbm.23870 [doi] PST - ppublish SO - Hum Brain Mapp. 2018 Feb;39(2):644-661. doi: 10.1002/hbm.23870. Epub 2017 Nov 3.