Brain entropy, fractal dimensions and predictability: A review of complexity measures for EEG in healthy and neuropsychiatric populations
European Journal of Neuroscience August 19, 2022 Zen Juen Lau, Tam Pham, Shen‐hsing Annabel Chen et al. 225 citations
EEG complexity measures, which quantify the predictability and irregularity of neural signals, are increasingly used as biomarkers for psychopathologies like depression and schizophrenia. This review explains these measures in accessible terms, categorizing them into those assessing predictability and regularity. It synthesizes findings across consciousness research, mood and anxiety disorders, schizophrenia, neurodevelopmental and neurodegenerative conditions, and lifespan changes, addressing theoretical and methodological issues that cause data discrepancies. The review also provides guidance on selecting and interpreting these metrics for psychological and neuropsychiatric research.