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;

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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
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article

Analysis code for: Slow-wave sleep selectively amplifies network signatures of the presumed epileptogenic zone in focal epilepsy

Vismitha Nadig
Zenodo (CERN European Organization for Nuclear Research)
Functional Brain Connectivity Studies
article

Analysis code for: Slow-wave sleep selectively amplifies network signatures of the presumed epileptogenic zone in focal epilepsy

Vismitha Nadig
article en

Abstract

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;

Zenodo (CERN European Organization for Nuclear Research)
Universitätsmedizin Göttingen (DE)
Peace, Justice and strong institutions
Openalex Percentile: Top 8%
Functional Brain Connectivity Studies
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