Dataset and analysis code for the intracranial EEG study of visual discomfort induced by striped patterns

This repository contains the dataset and analysis code for the study “Intracranial mapping reveals frequency-specific cortical dynamics and propagation underlying visual discomfort.” The dataset includes intracranial EEG (iEEG) recordings obtained from patients with non-photosensitive epilepsy undergoing clinical monitoring with depth electrodes. During recordings, participants viewed high-contrast striped gratings designed to elicit visual discomfort alongside control patterns (Pattern glare test). Dataset consists of normalized mean power across frequencies ranging from 55 to 1000 Hz, including high gamma (55–80 Hz), ripples (80–250 Hz), fast ripples (250–600 Hz), and very fast ripples (600–1000 Hz). Codes were designed to address 4 hypotheses: 1. Aversive (3 cpd) patterns will elicit a greater increase in occipital high-gamma–band power than control (0.5 cpd) patterns.2. Individuals reporting higher subjective visual discomfort will exhibit stronger occipital LFP responses compared with those reporting lower discomfort.3. Aversive stimuli will evoke high-gamma activity that propagates beyond the occipital cortex to temporal, parietal, insular, and limbic regions.4. Neural activity induced by aversive stimuli will also be evident at frequencies above the high-gamma range, including ripples, fast ripples, and very fast ripples. The results reveal complex, bidirectional activity within the occipital cortex, with individuals prone to visual discomfort exhibiting pre-stimulus suppression followed by temporally organized activation propagating from BA 17 to BA 19 across multiple high-frequency bands. The propagation of cortical activity into temporal, parietal, insular, and limbic regions indicates that the pattern glare phenomenon affects areas far beyond the visual cortex. High-frequency activity (55–1000 Hz) was observed also in non-occipital regions and requires further mechanistic investigation to determine its functional relevance.