Alpha PLV Professional Report

Fuente: Zenodo
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Bibliographic Details
Main Author: Shaub, Jarid Shaub
Format: Recurso digital
Published: Zenodo 2026
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author Shaub, Jarid Shaub
author_facet Shaub, Jarid Shaub
contents <p>This report presents a comprehensive empirical study of sensor-level alpha-band (8–13 Hz) neural oscillations in human magnetoencephalography (MEG) data. Using the open MNE somato multi-subject dataset, the study computes pairwise phase-locking values (PLV) across 204 gradiometers, flattens the upper-triangle connectivity matrices into high-dimensional vectors, and quantifies their reproducibility using cosine similarity. A rigorous null modeling approach (including trial shuffles and cyclic shifts) with permutation-based p-values is employed to demonstrate that the observed connectivity structure is highly non-random and statistically significant. The report includes group- and per-subject analyses, detailed tables, and visualizations of PLV matrices and group-level comparisons. Additionally, all analyses are fully auditable and reproducible, with configuration hashing and Python verification code included. This work establishes a reproducible methodology for quantifying structured neural oscillations and provides a robust empirical foundation for studies of neural synchrony and brain connectivity.</p>
format Recurso digital
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institution Zenodo
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publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Alpha PLV Professional Report
Shaub, Jarid Shaub
<p>This report presents a comprehensive empirical study of sensor-level alpha-band (8–13 Hz) neural oscillations in human magnetoencephalography (MEG) data. Using the open MNE somato multi-subject dataset, the study computes pairwise phase-locking values (PLV) across 204 gradiometers, flattens the upper-triangle connectivity matrices into high-dimensional vectors, and quantifies their reproducibility using cosine similarity. A rigorous null modeling approach (including trial shuffles and cyclic shifts) with permutation-based p-values is employed to demonstrate that the observed connectivity structure is highly non-random and statistically significant. The report includes group- and per-subject analyses, detailed tables, and visualizations of PLV matrices and group-level comparisons. Additionally, all analyses are fully auditable and reproducible, with configuration hashing and Python verification code included. This work establishes a reproducible methodology for quantifying structured neural oscillations and provides a robust empirical foundation for studies of neural synchrony and brain connectivity.</p>
title Alpha PLV Professional Report
url https://doi.org/10.5281/zenodo.18365903