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arXiv — cs.AI preprintsInternational19 October 2026

Inter- and Intra-Subject Variability in EEG: A Systematic Survey

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arXiv:2602.01019v2 Announce Type: replace-cross Abstract: Electroencephalography (EEG) underpins neuroscience, clinical neurophysiology, and brain-computer interfaces (BCIs), yet pronounced inter- and intra-subject variability limits reliability, reproducibility, and translation. This systematic review studies that quantified or modeled EEG variability across resting-state, event-related potentials (ERPs), and task-related/BCI paradigms (including motor imagery and SSVEP) in healthy and clinical cohorts. Across paradigms, inter-subject differences are typically larger than within-subject fluct
— arXiv — cs.AI preprints

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