Analysis code for: Slow-wave sleep selectively amplifies network signatures of the presumed epileptogenic zone in focal epilepsy
Analysis code accompanying Nadig et al., "Slow-wave sleep selectively amplifies network signatures of the presumed epileptogenic zone in focal epilepsy" Contents: electrode classification into anatomical regions and presumed epileptogenic / irritative / non-involved zones; automatic intracranial sleep staging and confidence-based epoch selection; the lab's general iEEG/MEG processing toolbox (subject and session bookkeeping, preprocessing, event/marker extraction, ICA-based artefact rejection, and connectivity calculation); group-level connectivity reduction; graph-theoretical metrics; FOOOF/specparam aperiodic exponent estimation; PALM permutation-test design construction for the zonal and interaction analyses; and the nested leave-one-subject-out elastic-net classifier with permutation testing. All scripts are deidentified and path-free: subject identifiers, file paths and site-specific settings have been removed, and each script takes its data as explicit input variables. Dependencies not included: FieldTrip, Brain Connectivity Toolbox, PALM, FOOOF/specparam (Python), SleepSEEG_models.mat Raw intracranial EEG and imaging data cannot be shared publicly under the applicable data protection regulations and the terms of the ethics approval;
Authors
- Vismitha Nadig (ORCID: https://orcid.org/0000-0002-1199-6742)
Institutions
- Universitätsmedizin Göttingen (DE)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-08-25
- DOI
- https://doi.org/10.5281/zenodo.22092753
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00