Article

Uncovering dynamic human brain phase coherence networks

2024-11-17

Abstract excerpt

Complex cognitive functions rely on coordinated communication between distributed brain regions, yet capturing these interactions as they evolve over time remains challenging. Traditional analyses of functional brain connectivity largely rely on correlations in signal amplitude, which are sensitive to noise and artifacts such as head motion. Here, we introduce a mixture modeling approach that focuses on the phase...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 2a630c80-844c-5e85-8edc-8655b9daa564
DOI: 10.1101/2024.11.15.623830

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Uncovering dynamic human brain phase coherence networksDOI 10.1101/2024.11.15.623830Read

Inter-subject phase synchronization and the dynamics of human cognitionSemantic proximity Read

Convergent cortical temporal axis: common cortical oscillatory modesSemantic proximity Read

Dynamics of Functional Network Organization Through Graph Mixture LearningSemantic proximity Read

Assessing HD-EEG functional connectivity states using a human brain computational modelSemantic proximity Read

Infraslow dynamic patterns in human cortical networks track a spectrum of external to internal attentionSemantic proximity Read

Mitigating activity mixing with personalized whole-brain modelingSemantic proximity Read

High-amplitude co-fluctuations in cortical activity drive functional connectivitySemantic proximity Read

Detecting M/EEG modular brain states in rest and taskSemantic proximity Read

A universal dynamic routing architecture governs the flow of human cortical activitySemantic proximity Read

The influence of inter-regional delays in generating large-scale brain networks of phase synchronizationSemantic proximity Read

Constructing structural and functional brain networks from regional brain profilesSemantic proximity Read

A systematic data-driven approach to analyze sensor-level EEG connectivity: Identifying robust phase-synchronized network components using surface Laplacian with spectral-spatial PCASemantic proximity Read