Network-based approach in fMRI experiment with affective touch

This research aimed to identify potential differences in resting-state brain networks between the experimental group and healthy individuals. We analyzed 27 experimental subjects (EX) and 11 healthy controls (HC), who all underwent clinical evaluation and functional resting-state Magnetic Resonance Imaging (fMRI) testing. We applied network-based measures with the intention of examining functional connectivity network measures across both groups, comparing Rest1 and Rest2 states occurring before and after the experiment, respectively.

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Publication Details

Published
2024-09-19
DOI
https://doi.org/10.1109/dcna63495.2024.10718378
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
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article

Network-based approach in fMRI experiment with affective touch

Galina Portnova, Semen Kurkin, А. Б. Кушнир, L. A. Mayorova et al.
EEG and Brain-Computer Interfaces
article

Network-based approach in fMRI experiment with affective touch

Galina Portnova, Semen Kurkin, А. Б. Кушнир, L. A. Mayorova, Vladimir Khorev
article en

Abstract

This research aimed to identify potential differences in resting-state brain networks between the experimental group and healthy individuals. We analyzed 27 experimental subjects (EX) and 11 healthy controls (HC), who all underwent clinical evaluation and functional resting-state Magnetic Resonance Imaging (fMRI) testing. We applied network-based measures with the intention of examining functional connectivity network measures across both groups, comparing Rest1 and Rest2 states occurring before and after the experiment, respectively.

Pushkin State Russian language Institute (RU)
Openalex Percentile: Top 81%
EEG and Brain-Computer Interfaces
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