Principles for Optimal Window Size Selection for Infant and Adult EEG Connectivity Analysis-Reference-Cited by-同舟云学术

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Principles for Optimal Window Size Selection for Infant and Adult EEG Connectivity Analysis

Published:2023-07-08 Issue: Volume: Page:
ISSN:
Container-title:2023 8th International Conference on Signal and Image Processing (ICSIP)
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Author:

Santamaria Lorena¹,Canales-Johnson Andres²,Noreika Valdas³,Leong Victorial¹,De La Salud Facultad de Ciencias⁴

Affiliation:

1. Psychology Nanyang Technological University,Singapore

2. University of Cambridge,Department of Psychology,Cambridge,United Kingdom

3. Queen Mary University of London,Department of Biological and Experimental Psychology,UK,London

4. Universidad Catolica del Maule,Talca,Chile

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10269795/10270814/10271014.pdf?arnumber=10271014

Reference21 articles.

1. Can brain state be manipulated to emphasize individual differences in functional connectivity?

2. Single-scale time-dependent window-sizes in sliding-window dynamic functional connectivity analysis: A validation study

3. SimiNet: A Novel Method for Quantifying Brain Network Similarity

4. Comparing functional connectivity matrices: A geometry-aware approach applied to participant identification

5. Phase lag index: Assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources

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