Efficient coherence inference on complex time–frequency coefficients using a general linear model

Md Rakibul Mowla

doi:10.1016/j.jneumeth.2026.110791

Efficient coherence inference on complex time–frequency coefficients using a general linear model

2026-05-09

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Christopher K. Kovach

DOI：10.1016/j.jneumeth.2026.110791

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Abstract

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• Presents a GLM-based parametric method for coherence significance testing. • Removes the need for surrogate resampling in spectral coherence analysis. • Matches the sensitivity of phase-randomization tests with continuous p-values. • Achieves ̃190-fold computational speedup over surrogate-based methods. • Scales efficiently to large multichannel EEG/iEEG datasets and high-rate recordings.

Keywords:

GLM

coherence significance testing

spectral coherence analysis

computational speedup

multichannel EEG/iEEG

Efficient coherence inference on complex time–frequency coefficients using a general linear model

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