Quantifying task-locked information transmission between cortical areas with TMS-EEG

This study utilized DTF values derived from TMS-EEG to characterize information flow between cortical areas during the gap saccade task. This approach provides a novel method for quantifying dynamic changes in connectivity and causality between cortical areas during task processing.

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Publication Details

Journal
NeuroImage
Published
2025-06-11
DOI
https://doi.org/10.1016/j.neuroimage.2025.121323
Citations
1
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
1.43
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article

Quantifying task-locked information transmission between cortical areas with TMS-EEG

Wenbo Ma, Li Feng, Zhaohuan Ding, Xiaoli Li et al.
1 citations
NeuroImage
EEG and Brain-Computer Interfaces
1.43
article

Quantifying task-locked information transmission between cortical areas with TMS-EEG

Wenbo Ma, Li Feng, Zhaohuan Ding, Xiaoli Li, Mingsha Zhang
article en
1 citations

Abstract

This study utilized DTF values derived from TMS-EEG to characterize information flow between cortical areas during the gap saccade task. This approach provides a novel method for quantifying dynamic changes in connectivity and causality between cortical areas during task processing.

NeuroImageVol. 317
North Sichuan Medical University (CN), McGovern Institute for Brain Research (US), South China Normal University (CN), Beijing Normal University (CN), Chinese Institute for Brain Research (CN), South China University of Technology (CN)
Openalex Percentile: Top 19%
EEG and Brain-Computer Interfaces
1.43
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Quantifying task-locked information transmission between cortical areas with TMS-EEG — Wenbo Ma, Li Feng, et al. · NeuroImage (2025) | TGRS Research Map | TGRS