Dynamic Hemispheric Lateralization of Naturalistic Emotional Processing After Unilateral Stroke: An EEG Study.
Overview
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Lab of Regenerative Medicine in Sports Science, School of Physical Education and Sports Science, South China Normal University, Guangzhou, China
- College of Information Science and Technology, Jinan University, Guangzhou, China
Abstract
Aim: Emotional impairment is common after stroke, but the neural electrophysiological mechanisms by which left‐ and right‐hemisphere lesions differentially alter emotional processing remain unclear. Conventional time‐averaged measures may overlook its dynamic features in the temporal organization of emotional processing. This study aimed to characterize hemisphere‐group‐associa
Methods: In this cross‐sectional study, 15 patients with left‐hemisphere stroke (L‐stroke), 15 patients with right‐hemisphere stroke (R‐stroke), and 15 healthy controls viewed validated positive, neutral, and negative film clips during 64‐channel electroencephalography recording. Self‐Assessment Manikin ratings were collected after each clip. We computed spectral power, emotion‐averaged lateralization index (LI), inter‐clip LI stability, and within‐clip LI dynamics (detectability, switching rate, and entropy). Mixed‐effects models accounted for repeated observations within participants and, where applicable, variability across film clips.
Results: Stroke patients showed reduced valence and arousal responses to positive clips, particularly in R‐stroke patients. Low‐frequency spectral power analysis showed preserved emotion modulation, whereas emotion‐averaged LI mainly reflected group‐dependent hemispheric bias. Within‐clip parietal‐theta LI dynamics revealed hemispheric differences: L‐stroke showed higher detectability and lower switching, while R‐stroke showed increased switching and entropy during positive clips. Switching showed a group‐dependent association with arousal in the primary model, with stronger coupling in R‐stroke.
Conclusion: Dynamic parietal‐theta lateralization revealed hemisphere‐group‐associa
Reproduced under the paper's license (CC BY), from the paper cited above.
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Data Availability Statement
The data associated with this study will be made available from the corresponding author upon reasonable request. Because the dataset contains clinical and electrophysiological data from human participants, public deposition is subject to ethical and privacy restrictions. The analysis code used in this study will be made available from the corresponding author upon reasonable request.
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
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Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 7 authors, 5 keywords, 11 MeSH terms, 2 funders, 47 references.
Cite
This paper
Han, M., Tang, Y., Lv, Y., Chen, X., Liu, X., Chen, Z., & Long, J. (2026). Dynamic Hemispheric Lateralization of Naturalistic Emotional Processing After Unilateral Stroke: An EEG Study. CNS neuroscience & therapeutics, 32(8), e71096. https://
BibTeX
@article{han2026dynamic,
author = {Han, Menglin and Tang, Yuting and Lv, Yunyi and Chen, Xiaoyun and Liu, Xiaocao and Chen, Zhuoming and Long, Jinyi},
title = {{Dynamic Hemispheric Lateralization of Naturalistic Emotional Processing After Unilateral Stroke: An EEG Study}},
journal = {CNS neuroscience \& therapeutics},
year = {2026},
month = aug,
volume = {32},
number = {8},
pages = {e71096},
publisher = {Wiley},
issn = {1755-5930},
doi = {10.1002/
url = {https://
pmid = {42622412},
pmcid = {PMC13492182}
}
RIS
TY - JOUR
AU - Han, Menglin
AU - Tang, Yuting
AU - Lv, Yunyi
AU - Chen, Xiaoyun
AU - Liu, Xiaocao
AU - Chen, Zhuoming
AU - Long, Jinyi
TI - Dynamic Hemispheric Lateralization of Naturalistic Emotional Processing After Unilateral Stroke: An EEG Study
T2 - CNS neuroscience & therapeutics
J2 - CNS Neurosci Ther
PY - 2026
DA - 2026/
VL - 32
IS - 8
SP - e71096
SN - 1755-5930
PB - Wiley
DO - 10.1002/
UR - https://
LA - en
ER -
CSL-JSON
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