Effective Connectivity for Default Mode Network Analysis of Alcoholism

Khan, D.M. and Kamel, N. and Muzaimi, M. and Hill, T. (2021) Effective Connectivity for Default Mode Network Analysis of Alcoholism. Brain Connectivity, 11 (1). pp. 12-29. ISSN 21580014

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Abstract

Introduction: With the recent technical advances in brain imaging modalities such as magnetic resonance imaging, positron emission tomography, and functional magnetic resonance imaging (fMRI), researchers' interests have inclined over the years to study brain functions through the analysis of the variations in the statistical dependence among various brain regions. Through its wide use in studying brain connectivity, the low temporal resolution of the fMRI represented by the limited number of samples per second, in addition to its dependence on brain slow hemodynamic changes, makes it of limited capability in studying the fast underlying neural processes during information exchange between brain regions. Materials and Methods: In this article, the high temporal resolution of the electroencephalography (EEG) is utilized to estimate the effective connectivity within the default mode network (DMN). The EEG data are collected from 20 subjects with alcoholism and 25 healthy subjects (controls), and used to obtain the effective connectivity diagram of the DMN using the Partial Directed Coherence algorithm. Results: The resulting effective connectivity diagram within the DMN shows the unidirectional causal effect of each region on the other. The variations in the causal effects within the DMN between controls and alcoholics show clear correlation with the symptoms that are usually associated with alcoholism, such as cognitive and memory impairments, executive control, and attention deficiency. The correlation between the exchanged causal effects within the DMN and symptoms related to alcoholism is discussed and properly analyzed. Conclusion: The establishment of the causal differences between control and alcoholic subjects within the DMN regions provides valuable insight into the mechanism by which alcohol modulates our cognitive and executive functions and creates better possibility for effective treatment of alcohol use disorder. © 2020 Mary Ann Liebert, Inc., publishers.

Item Type: Article
Additional Information: cited By 13
Uncontrolled Keywords: adult; alcohol consumption; alcoholism; algorithm; Article; associative memory; attention deficit disorder; brain stem; cerebellum; clinical article; cognitive defect; connectome; controlled study; default mode network; electroencephalography; executive function; female; human; male; medial prefrontal cortex; memory disorder; middle aged; motor control; parietal cortex; parietal lobe; partial directed coherence algorithm; precuneus; prefrontal cortex; priority journal; resting state network; thalamus; working memory; brain; brain mapping; default mode network; diagnostic imaging; nuclear magnetic resonance imaging, Alcoholism; Brain; Brain Mapping; Default Mode Network; Humans; Magnetic Resonance Imaging
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 10 Nov 2023 03:29
Last Modified: 10 Nov 2023 03:29
URI: https://khub.utp.edu.my/scholars/id/eprint/15207

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