| _version_ | 1866901573055021056 |
|---|---|
| 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 |
| id | zenodo_https___doi_org_10_5281_zenodo_18365903 |
| institution | Zenodo |
| language | |
| 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 |