Flexible multi-step hypothesis testing of human ECoG data using cluster-based permutation tests with GLMEs

Flexible multi-step hypothesis testing of human ECoG data using cluster-based permutation tests with GLMEs

Background: Time series analysis is critical for understanding brain signals and their relationship to behavior and cognition. Cluster-based permutation tests (CBPT) are commonly used to analyze a variety of electrophysiological signals including EEG, MEG, ECoG, and sEEG data without a priori assump...

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Bibliographic Details
Main Authors: Seth D König, Sandra Safo, Kai Miller, Alexander B. Herman, David P. Darrow
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:NeuroImage
Subjects:
Cluster-based statistics
generalized linear models (GLMs)
linear models
Mixed Effects Models
Burst Analysis
Event Related Potentials (ERPs)
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811924000521

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http://www.sciencedirect.com/science/article/pii/S1053811924000521

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