Aperiodic EEG features of cognition: a systematic review.
Key Insights
- A defining feature of electroencephalography (EEG) data is its 1/ f -like spectral structure, whereby power decreases as frequency increases.
- The nonoscillatory, aperiodic activity underlying this structure has regained attention as an index of cortical excitation-inhibition balance or neural noise,.
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@misc{ acaciadata-research-aperiodic-eeg-features-of-cognition-a-systematic-review,
title = { Aperiodic EEG features of cognition: a systematic review. },
author = { K Hemmerich, A Santoni, S Stottmeier et al. },
year = { 2026 },
doi = { 10.1515/revneuro-2026-0012 },
url = { https://pubmed.ncbi.nlm.nih.gov/42240628/ },
note = {Summarized and classified by AcaciaFund}
}
TY - GEN TI - Aperiodic EEG features of cognition: a systematic review. AU - K Hemmerich, A Santoni, S Stottmeier et al. PY - 2026 DO - 10.1515/revneuro-2026-0012 UR - https://pubmed.ncbi.nlm.nih.gov/42240628/ ER -
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Overview
A defining feature of electroencephalography (EEG) data is its 1/ f -like spectral structure, whereby power decreases as frequency increases. The nonoscillatory, aperiodic activity underlying this structure has regained attention as an index of cortical excitation-inhibition balance or neural noise, though its precise link to cognition remains unclear. Accordingly, this PRISMA-compliant systematic review examined 45 studies on aperiodic EEG features and cognition in healthy adults (∼18-65 years)
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