Estimating sensor-space EEG connectivity: Identifying optimal artifact reduction techniques for functional connectivity in real data

This paper presents evidence for an EEG pre-processing pipeline that provides good detection of meaningful effects and high test-retest reliability for sensor space EEG alpha frequency FC.

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Publication Details

Journal
Clinical Neurophysiology
Published
2025-04-08
DOI
https://doi.org/10.1016/j.clinph.2025.03.042
Citations
3
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
4.29
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article

Estimating sensor-space EEG connectivity: Identifying optimal artifact reduction techniques for functional connectivity in real data

Neil W. Bailey, Aleksandra Miljevic, Paul B. Fitzgerald, Oscar W. Murphy
3 citations
Clinical Neurophysiology
Functional Brain Connectivity Studies
4.29
article

Estimating sensor-space EEG connectivity: Identifying optimal artifact reduction techniques for functional connectivity in real data

Neil W. Bailey, Aleksandra Miljevic, Paul B. Fitzgerald, Oscar W. Murphy
article en
3 citations

Abstract

This paper presents evidence for an EEG pre-processing pipeline that provides good detection of meaningful effects and high test-retest reliability for sensor space EEG alpha frequency FC.

Clinical NeurophysiologyVol. 174
Australian National University (AU), Bionics Institute (AU), Monash University (AU)
Affordable and clean energy
Openalex Percentile: Top 7%
Functional Brain Connectivity Studies
4.29
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