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 in | Brain imaging and behavior Vol. 12; no. 6; pp. 1708 - 1719 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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New York
Springer US
01.12.2018
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 1931-7557 1931-7565 1931-7565 |
DOI | 10.1007/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. |
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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 |
Author_xml | – sequence: 1 givenname: Junming surname: Shao fullname: Shao, Junming organization: Center for Information in BioMedicine, University of Electronic Science and Technology of China, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Big Data Research Center, University of Electronic Science and Technology of China, Department of Nuclear Medicine, University of Electronic Science and Technology of China – sequence: 2 givenname: Chun surname: Meng fullname: Meng, Chun organization: Department of Neuroradiology, Technische Universität München, TUM-Neuroimaging Center of Klinikum rechts der Isar, Technische Universität München – sequence: 3 givenname: Masoud surname: Tahmasian fullname: Tahmasian, Masoud organization: Institute of Medical Science and Technology, Shahid Beheshti University – sequence: 4 givenname: Felix surname: Brandl fullname: Brandl, Felix organization: Department of Neuroradiology, Technische Universität München, TUM-Neuroimaging Center of Klinikum rechts der Isar, Technische Universität München – sequence: 5 givenname: Qinli surname: Yang fullname: Yang, Qinli organization: Big Data Research Center, University of Electronic Science and Technology of China – sequence: 6 givenname: Guangchun surname: Luo fullname: Luo, Guangchun organization: School of Computer Science and Engineering, University of Electronic Science and Technology of China – sequence: 7 givenname: Cheng surname: Luo fullname: Luo, Cheng organization: Center for Information in BioMedicine, University of Electronic Science and Technology of China – sequence: 8 givenname: Dezhong surname: Yao fullname: Yao, Dezhong organization: Center for Information in BioMedicine, University of Electronic Science and Technology of China – sequence: 9 givenname: Lianli surname: Gao fullname: Gao, Lianli organization: School of Computer Science and Engineering, University of Electronic Science and Technology of China – sequence: 10 givenname: Valentin surname: Riedl fullname: Riedl, Valentin organization: Department of Nuclear Medicine, University of Electronic Science and Technology of China, Department of Neuroradiology, Technische Universität München, TUM-Neuroimaging Center of Klinikum rechts der Isar, Technische Universität München – sequence: 11 givenname: Afra surname: Wohlschläger fullname: Wohlschläger, Afra organization: Department of Neuroradiology, Technische Universität München, TUM-Neuroimaging Center of Klinikum rechts der Isar, Technische Universität München – sequence: 12 givenname: Christian surname: Sorg fullname: Sorg, Christian 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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Keywords | Schizophrenia Default mode network Salience network Depression Functional MRI Diffusion tensor imaging |
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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 |
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