EEG-fMRI-Based Multimodal Fusion System for Analyzing Human Somatosensory Network-Reference-Cited by-同舟云学术

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EEG-fMRI-Based Multimodal Fusion System for Analyzing Human Somatosensory Network

Published:2024-06-26 Issue: Volume:6 Page:1-6
ISSN:
Container-title:2024 International Conference on System Science and Engineering (ICSSE)
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Author:

Chu Syuan-Yi¹,He Congying²,Su Cheng-Hua²,Lin Hao-Yuan²,Pan Li-Ling Hope³,Wang Shuu-Jiun³,Ko Li-Wei⁴

Affiliation:

1. Institute of Biological Science and Technology, National Yang Ming Chiao Tung University,Hsinchu,Taiwan

2. Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University,Hsinchu,Taiwan

3. National Yang Ming Chiao Tung University,Brain Research Center,Taipei,Taiwan

4. National Yang Ming Chiao Tung University,Electrical and Control Engineering,Hsinchu,Taiwan

Funder

MOST

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10608817/10608490/10608928.pdf?arnumber=10608928

Reference16 articles.

1. Human primary somatosensory cortex is differentially involved in vibrotaction and nociception

2. The International Association for the Study of Pain definition of pain: as valid in 2018 as in 1979, but in need of regularly updated footnotes

3. Clinical applications of quantitative sensory testing (QST)

4. Machine learning–based prediction of heat pain sensitivity by using resting-state EEG

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