Common and distinct changes of default mode and salience network in schizophrenia and major depression

Brain imaging reveals schizophrenia as a disorder of macroscopic brain networks. In particular, default mode and salience network (DMN, SN) show highly consistent alterations in both interacting brain activity and underlying brain structure. However, the same networks are also altered in major depre...

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Published inBrain imaging and behavior Vol. 12; no. 6; pp. 1708 - 1719
Main Authors Shao, Junming, Meng, Chun, Tahmasian, Masoud, Brandl, Felix, Yang, Qinli, Luo, Guangchun, Luo, Cheng, Yao, Dezhong, Gao, Lianli, Riedl, Valentin, Wohlschläger, Afra, Sorg, Christian
Format Journal Article
LanguageEnglish
Published New York Springer US 01.12.2018
Springer Nature B.V
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Online AccessGet full text
ISSN1931-7557
1931-7565
1931-7565
DOI10.1007/s11682-018-9838-8

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Abstract Brain imaging reveals schizophrenia as a disorder of macroscopic brain networks. In particular, default mode and salience network (DMN, SN) show highly consistent alterations in both interacting brain activity and underlying brain structure. However, the same networks are also altered in major depression. This overlap in network alterations induces the question whether DMN and SN changes are different across both disorders, potentially indicating distinct underlying pathophysiological mechanisms. To address this question, we acquired T1-weighted, diffusion-weighted, and resting-state functional MRI in patients with schizophrenia, patients with major depression, and healthy controls. We measured regional gray matter volume, inter-regional structural and intrinsic functional connectivity of DMN and SN, and compared these measures across groups by generalized Wilcoxon rank tests, while controlling for symptoms and medication. When comparing patients with controls, we found in each patient group SN volume loss, impaired DMN structural connectivity, and aberrant DMN and SN functional connectivity. When comparing patient groups, SN gray matter volume loss and DMN structural connectivity reduction did not differ between groups, but in schizophrenic patients, functional hyperconnectivity between DMN and SN was less in comparison to depressed patients. Results provide evidence for distinct functional hyperconnectivity between DMN and SN in schizophrenia and major depression, while structural changes in DMN and SN were similar. Distinct hyperconnectivity suggests different pathophysiological mechanism underlying aberrant DMN-SN interactions in schizophrenia and depression.
AbstractList Brain imaging reveals schizophrenia as a disorder of macroscopic brain networks. In particular, default mode and salience network (DMN, SN) show highly consistent alterations in both interacting brain activity and underlying brain structure. However, the same networks are also altered in major depression. This overlap in network alterations induces the question whether DMN and SN changes are different across both disorders, potentially indicating distinct underlying pathophysiological mechanisms. To address this question, we acquired T1-weighted, diffusion-weighted, and resting-state functional MRI in patients with schizophrenia, patients with major depression, and healthy controls. We measured regional gray matter volume, inter-regional structural and intrinsic functional connectivity of DMN and SN, and compared these measures across groups by generalized Wilcoxon rank tests, while controlling for symptoms and medication. When comparing patients with controls, we found in each patient group SN volume loss, impaired DMN structural connectivity, and aberrant DMN and SN functional connectivity. When comparing patient groups, SN gray matter volume loss and DMN structural connectivity reduction did not differ between groups, but in schizophrenic patients, functional hyperconnectivity between DMN and SN was less in comparison to depressed patients. Results provide evidence for distinct functional hyperconnectivity between DMN and SN in schizophrenia and major depression, while structural changes in DMN and SN were similar. Distinct hyperconnectivity suggests different pathophysiological mechanism underlying aberrant DMN-SN interactions in schizophrenia and depression.
Brain imaging reveals schizophrenia as a disorder of macroscopic brain networks. In particular, default mode and salience network (DMN, SN) show highly consistent alterations in both interacting brain activity and underlying brain structure. However, the same networks are also altered in major depression. This overlap in network alterations induces the question whether DMN and SN changes are different across both disorders, potentially indicating distinct underlying pathophysiological mechanisms. To address this question, we acquired T1-weighted, diffusion-weighted, and resting-state functional MRI in patients with schizophrenia, patients with major depression, and healthy controls. We measured regional gray matter volume, inter-regional structural and intrinsic functional connectivity of DMN and SN, and compared these measures across groups by generalized Wilcoxon rank tests, while controlling for symptoms and medication. When comparing patients with controls, we found in each patient group SN volume loss, impaired DMN structural connectivity, and aberrant DMN and SN functional connectivity. When comparing patient groups, SN gray matter volume loss and DMN structural connectivity reduction did not differ between groups, but in schizophrenic patients, functional hyperconnectivity between DMN and SN was less in comparison to depressed patients. Results provide evidence for distinct functional hyperconnectivity between DMN and SN in schizophrenia and major depression, while structural changes in DMN and SN were similar. Distinct hyperconnectivity suggests different pathophysiological mechanism underlying aberrant DMN-SN interactions in schizophrenia and depression.Brain imaging reveals schizophrenia as a disorder of macroscopic brain networks. In particular, default mode and salience network (DMN, SN) show highly consistent alterations in both interacting brain activity and underlying brain structure. However, the same networks are also altered in major depression. This overlap in network alterations induces the question whether DMN and SN changes are different across both disorders, potentially indicating distinct underlying pathophysiological mechanisms. To address this question, we acquired T1-weighted, diffusion-weighted, and resting-state functional MRI in patients with schizophrenia, patients with major depression, and healthy controls. We measured regional gray matter volume, inter-regional structural and intrinsic functional connectivity of DMN and SN, and compared these measures across groups by generalized Wilcoxon rank tests, while controlling for symptoms and medication. When comparing patients with controls, we found in each patient group SN volume loss, impaired DMN structural connectivity, and aberrant DMN and SN functional connectivity. When comparing patient groups, SN gray matter volume loss and DMN structural connectivity reduction did not differ between groups, but in schizophrenic patients, functional hyperconnectivity between DMN and SN was less in comparison to depressed patients. Results provide evidence for distinct functional hyperconnectivity between DMN and SN in schizophrenia and major depression, while structural changes in DMN and SN were similar. Distinct hyperconnectivity suggests different pathophysiological mechanism underlying aberrant DMN-SN interactions in schizophrenia and depression.
Author Meng, Chun
Yang, Qinli
Shao, Junming
Riedl, Valentin
Brandl, Felix
Tahmasian, Masoud
Yao, Dezhong
Sorg, Christian
Luo, Cheng
Luo, Guangchun
Gao, Lianli
Wohlschläger, Afra
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  organization: Department of Neuroradiology, Technische Universität München, TUM-Neuroimaging Center of Klinikum rechts der Isar, Technische Universität München
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  surname: Tahmasian
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  organization: Institute of Medical Science and Technology, Shahid Beheshti University
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  organization: School of Computer Science and Engineering, University of Electronic Science and Technology of China
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  organization: Center for Information in BioMedicine, University of Electronic Science and Technology of China
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  surname: Wohlschläger
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  givenname: Christian
  surname: Sorg
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  email: christian.sorg@tum.de
  organization: Department of Neuroradiology, Technische Universität München, TUM-Neuroimaging Center of Klinikum rechts der Isar, Technische Universität München, Department of Psychiatry, Klinikum rechts der Isar Technische Universität München
BackLink https://www.ncbi.nlm.nih.gov/pubmed/29460166$$D View this record in MEDLINE/PubMed
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Brain Imaging and Behavior is a copyright of Springer, (2018). All Rights Reserved.
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Fri Jul 25 11:10:42 EDT 2025
Wed Feb 19 02:36:55 EST 2025
Tue Jul 01 04:04:31 EDT 2025
Thu Apr 24 23:09:45 EDT 2025
Fri Feb 21 02:37:11 EST 2025
IsPeerReviewed true
IsScholarly true
Issue 6
Keywords Schizophrenia
Default mode network
Salience network
Depression
Functional MRI
Diffusion tensor imaging
Language English
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Springer Nature B.V
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Snippet Brain imaging reveals schizophrenia as a disorder of macroscopic brain networks. In particular, default mode and salience network (DMN, SN) show highly...
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SubjectTerms Aberration
Adult
Biomedical and Life Sciences
Biomedicine
Brain
Brain - diagnostic imaging
Brain - physiopathology
Brain Mapping
Depressive Disorder, Major - diagnostic imaging
Depressive Disorder, Major - physiopathology
Female
Functional magnetic resonance imaging
Humans
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Male
Mental depression
Mental disorders
Middle Aged
Neural networks
Neural Pathways - diagnostic imaging
Neural Pathways - physiopathology
Neuroimaging
Neuropsychology
Neuroradiology
Neurosciences
Organ Size
Original Research
Patients
Psychiatry
Rank tests
Rest
Salience
Schizophrenia
Schizophrenia - diagnostic imaging
Schizophrenia - physiopathology
Structure-function relationships
Substantia grisea
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Title Common and distinct changes of default mode and salience network in schizophrenia and major depression
URI https://link.springer.com/article/10.1007/s11682-018-9838-8
https://www.ncbi.nlm.nih.gov/pubmed/29460166
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