Literature DB >> 30280595

Altered Functional Connectivity of Alpha Rhythm in Obsessive-Compulsive Disorder During Rest.

Bo Tan1, Qingxiao Liu2, Chaoyang Wan1, Zhenlan Jin1, Yanchun Yang3, Ling Li1.   

Abstract

Obsessive-compulsive disorder (OCD) is a common inheritable psychiatric disorder characteristic of repetitive thinking, imagination (obsession), and stereotyped behaviors (compulsive). To explore whether there is an alteration of brain functional connectivity (BFC) in patients with OCD during rest, electroencephalogram (EEG) data of healthy controls (HCs) and patients with OCD were collected during rest in both eyes-closed and eyes-open states. Synchronization likelihood and graph theory were applied to construct and analyze brain functional networks of patients with OCD and HCs. Patients with OCD showed abnormal graph-theoretic parameters and impaired small world features in the alpha and beta bands. In addition, the topological analysis consistently showed that the long-range BFC of alpha rhythm was significantly reduced in the bilateral posterior areas in patients with OCD in comparison with HCs, while the BFC in the beta rhythm was significantly increased only in the eyes-open state. The findings suggest that the BFC of patients with OCD show abnormal small-world features and altered topological structure during rest, mainly in alpha and beta bands, which may provide a new insight for the diagnosis and treatment of OCD.

Entities:  

Keywords:  alpha rhythm; brain functional connectivity; graph theory; obsessive-compulsive disorder; synchronization likelihood

Year:  2018        PMID: 30280595     DOI: 10.1177/1550059418804378

Source DB:  PubMed          Journal:  Clin EEG Neurosci        ISSN: 1550-0594            Impact factor:   1.843


  3 in total

1.  The Logic of Developing Neocortical Circuits in Health and Disease.

Authors:  Ileana L Hanganu-Opatz; Simon J B Butt; Simon Hippenmeyer; Natalia V De Marco García; Jessica A Cardin; Bradley Voytek; Alysson R Muotri
Journal:  J Neurosci       Date:  2021-01-11       Impact factor: 6.167

2.  Predicting MCI to AD Conversation Using Integrated sMRI and rs-fMRI: Machine Learning and Graph Theory Approach.

Authors:  Tingting Zhang; Qian Liao; Danmei Zhang; Chao Zhang; Jing Yan; Ronald Ngetich; Junjun Zhang; Zhenlan Jin; Ling Li
Journal:  Front Aging Neurosci       Date:  2021-07-30       Impact factor: 5.750

3.  Alzheimer's Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield and Amygdala Volume of Structural MRI.

Authors:  Uttam Khatri; Goo-Rak Kwon
Journal:  Front Aging Neurosci       Date:  2022-05-30       Impact factor: 5.702

  3 in total

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