Different shades of default mode disturbance in schizophrenia: Subnodal covariance estimation in structure and function
Abstract
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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Nov 03, 2017
- Source ID
- 10.1002/hbm.23870
Entities
People
- André Aleman
- Bertrand Thirion
- Birgit Derntl
- Daniel S. Margulies
- Danielle Bassett
- Danilo Bzdok
- Gaël Varoquaux
- Jonathan Smallwood
- Jérémy Lefort-Besnard
- Oliver Gruber
- Renaud Jardri
- Simon B. Eickhoff
Organizations
- Alfred P. Sloan Foundation
- Amazon
- Army Research Office
- Eunice Kennedy Shriver National Institute of Child Health and Human Development
- European Research Council
- German Research Foundation
- Heidelberg University
- Istituto di Neuroscienze
- John D. and Catherine T. MacArthur Foundation
- National Institute of Mental Health
- National Science Foundation
- Office of Naval Research
- RWTH Aachen University
- United States Army Research Laboratory
- University of Groningen
- University of Lille
- University of Pennsylvania
- University of Tübingen
- University of York
- Volkswagen Foundation
- Wellcome Trust