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Functional connectivity analysis of the neural bases of emotion regulation: A comparison of independent component method with density-based k-means clustering method

Issue title: Papers from the 4th International Conference on Biomedical Engineering and Biotechnology (ICBEB2015), 18-21 August 2015, Shanghai, China ``New Paradigms for Biomedical Engineering and Biotechnology''

Article type: Research Article

Authors: Zou, Linga; b; * | Guo, Qiana; b | Xu, Yia; b | Yang, Biaoa; b | Jiao, Zhuqinga; b | Xiang, Jianboc

Affiliations: [a] School of Information Science and Engineering, Changzhou University, Changzhou, Jiangsu, China | [b] Changzhou Key Laboratory of Biomedical Information Technology, Changzhou, Jiangsu, China | [c] Changzhou NO.2 People's Hospital Affiliated with Nanjing Medical University, Changzhou, Jiangsu, China

Correspondence: [*] Corresponding author: Ling Zou, School of Information Science and Engineering, Changzhou University, Changzhou, Jiangsu, China. Tel.: +86 13813583689; E-mail:zouling@cczu.edu.cn

Keywords: Functional connectivity, cognitive reappraisal, density-based k-means clustering method, ICA

DOI: 10.3233/THC-161210

Journal: Technology and Health Care, vol. 24, no. s2, pp. S817-S825, 2016

Published: 13 June 2016
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Abstract

Functional magnetic resonance imaging (fMRI) is an important tool in neuroscience for assessing connectivity and interactions between distant areas of the brain. To find and characterize the coherent patterns of brain activity as a means of identifying brain systems for the cognitive reappraisal of the emotion task, both density-based k-means clustering and independent component analysis (ICA) methods can be applied to characterize the interactions between brain regions involved in cognitive reappraisal of emotion. Our results reveal that compared with the ICA method, the density-based k-means clustering method provides a higher sensitivity of polymerization. In addition, it is more sensitive to those relatively weak functional connection regions. Thus, the study concludes that in the process of receiving emotional stimuli, the relatively obvious activation areas are mainly distributed in the frontal lobe, cingulum and near the hypothalamus. Furthermore, density-based k-means clustering method creates a more reliable method for follow-up studies of brain functional connectivity.

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