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  Different shades of default mode disturbance in schizophrenia: Subnodal covariance estimation in structure and function

Lefort-Besnard, J., Bassett, D. S., Smallwood, J., Margulies, D. S., Derntl, B., Gruber, O., et al. (2018). Different shades of default mode disturbance in schizophrenia: Subnodal covariance estimation in structure and function. Human Brain Mapping, 39(2), 644-661. doi:10.1002/hbm.23870.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002E-336A-2 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-A584-D
Genre: Journal Article

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 Creators:
Lefort-Besnard, Jérémy1, Author
Bassett, Danielle S.2, 3, Author
Smallwood, Jonathan4, Author              
Margulies, Daniel S.5, Author              
Derntl, Birgit1, 6, 7, Author
Gruber, Oliver8, Author
Aleman, Andre9, Author
Jardri, Renaud10, Author
Varoquaux, Gaël11, Author
Thirion, Bertrand11, Author
Eickhoff, Simon B.12, 13, Author
Bzdok, Danilo1, 6, 11, Author
Affiliations:
1Department of Psychiatry, Psychotherapy, and Psychosomatics, RWTH Aachen University, Germany, ou_persistent22              
2Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA, ou_persistent22              
3Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA, ou_persistent22              
4Department of Psychology, University of York, Heslington, United Kingdom, ou_persistent22              
5Max Planck Research Group Neuroanatomy and Connectivity, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_1356546              
6Jülich Aachen Research Alliance - JARA BRAIN, Jülich, Germany, ou_persistent22              
7Department for Psychiatry and Psychotherapy, Eberhard Karls University Tübingen, Germany, ou_persistent22              
8Department of Psychiatry, University of Heidelberg, Germany, ou_persistent22              
9University Medical Center Groningen, the Netherlands, ou_persistent22              
10Division of Psychiatry, University of Lille, France, ou_persistent22              
11Neurospin, French Alternative Energies and Atomic Energy Commission (CEA), Saclay, France, ou_persistent22              
12Institute of Systems Neuroscience, University Hospital Düsseldorf, Germany, ou_persistent22              
13Institute of Neuroscience and Medicine, Research Center Jülich, Germany, ou_persistent22              

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Free keywords: Default mode network proper; Functional connectivity; Machine learning; Neuroimaging; Schizophrenia; Sparse inverse covariance estimation; Structural covariance; Sparsity
 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.

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Language(s): eng - English
 Dates: 2017-10-202017-09-252017-10-202017-11-032018-02
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1002/hbm.23870
PMID: 29105239
PMC: PMC5764781
Other: Epub 2017
 Degree: -

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Project name : -
Grant ID : BZ2/2‐1 ; BZ2/3‐1 ; BZ2/4‐1
Funding program : -
Funding organization : Deutsche Forschungsgemeinschaft (DFG)
Project name : The International Research Training Group (IRTG) / IRTG2150
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Funding organization : International Training Group RWTH Uniklinik
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Funding program : Amazon AWS Research Grant
Funding organization : Amazon
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Funding organization : German National Merit Foundation
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Funding program : START‐Program
Funding organization : Faculty of Medicine, RWTH Aachen
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Funding organization : John D. and Catherine T. MacArthur Foundation
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Funding organization : Alfred P. Sloan Foundation
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Funding organization : US Army Research Laboratory
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Grant ID : W911NF‐10‐2‐0022 ; W911NF‐14‐1‐0679
Funding program : -
Funding organization : US Army Research Office
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Grant ID : 2R01‐DC‐009209‐11
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Funding organization : National Institute of Mental Health (NIMH)
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Grant ID : 1R01HD086888‐01
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Funding organization : National Institute of Child Health and Human Development
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Funding organization : Office of Naval Research
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Grant ID : BCS‐1441502 ; BCS‐1430087 ; NSF PHY‐1554488
Funding program : -
Funding organization : National Science Foundation (NSF)
Project name : -
Grant ID : 103817/Z/14/Z
Funding program : -
Funding organization : Welcome Trust
Project name : Wandering Minds: Interdisciplinary Experiments on Self-Generated Thought
Grant ID : 89440 ; 89439
Funding program : -
Funding organization : Volkswagen Foundation
Project name : Not all minds that wander are lost: A neurocognitive test of mind-wandering state’s contribution to human cognition / WANDERINGMINDS
Grant ID : 646927
Funding program : Funding Programme 7
Funding organization : European Commission (EC)

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Title: Human Brain Mapping
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: New York : Wiley-Liss
Pages: - Volume / Issue: 39 (2) Sequence Number: - Start / End Page: 644 - 661 Identifier: ISSN: 1065-9471
CoNE: /journals/resource/954925601686