Comparative analysis of default mode networks in major psychiatric disorders using resting-state EEG
| Autor: | Jung Won Han, Seung Hwan Lee, Jeong Youn Kim, Yong-Wook Kim, Chang-Hwan Im, Kang Min Choi |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Obsessive-Compulsive Disorder
medicine.medical_specialty Bipolar Disorder Science Electroencephalography behavioral disciplines and activities Article Imaging Stress Disorders Post-Traumatic Functional networks Alzheimer Disease mental disorders Humans Medicine Computational models Cognitive Dysfunction Bipolar disorder Author Correction Psychiatry Default mode network Brain Mapping Depressive Disorder Major Multidisciplinary medicine.diagnostic_test business.industry Panic disorder Brain medicine.disease Electrophysiology Schizophrenia Computational neuroscience Resting state eeg Panic Disorder Major depressive disorder Nerve Net business Psychiatric disorders |
| Zdroj: | Scientific Reports Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021) |
| ISSN: | 2045-2322 |
| Popis: | Default mode network (DMN) is a set of functional brain structures coherently activated when individuals are in resting-state. In this study, we constructed multi-frequency band resting-state EEG-based DMN functional network models for major psychiatric disorders to easily compare their pathophysiological characteristics. Phase-locking values (PLVs) were evaluated to quantify functional connectivity; global and nodal clustering coefficients (CCs) were evaluated to quantify global and local connectivity patterns of DMN nodes, respectively. DMNs of patients with post-traumatic stress disorder (PTSD), obsessive compulsive disorder (OCD), panic disorder, major depressive disorder (MDD), bipolar disorder, schizophrenia (SZ), mild cognitive impairment (MCI), and Alzheimer’s disease (AD) were constructed relative to their demographically-matched healthy control groups. Overall DMN patterns were then visualized and compared with each other. In global CCs, SZ and AD showed hyper-clustering in the theta band; OCD, MCI, and AD showed hypo-clustering in the low-alpha band; OCD and MDD showed hypo-clustering and hyper-clustering in low-beta, and high-beta bands, respectively. In local CCs, disease-specific patterns were observed. In the PLVs, lowered theta-band functional connectivity between the left lingual gyrus and the left hippocampus was frequently observed. Our comprehensive comparisons suggest EEG-based DMN as a useful vehicle for understanding altered brain networks of major psychiatric disorders. |
| Databáze: | OpenAIRE |
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