ReviewEntropy (Basel, Switzerland)2020
Entropy and the Brain: An Overview.
Review in Entropy (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 3 of them syntheses that pooled it.
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Who cites it
74 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Subgenual anterior cingulate cortex in major depression: a systematic review and meta-analysis of MRI studies with patients and healthy controls.Translational psychiatry · 2026Pooled it
- A comprehensive analysis of brain network complexity in task-based fMRI using entropy: systematic review.Brain imaging and behavior · 2026Pooled it
- The neurophysiology of healthy and pathological aging: a comprehensive systematic review.Brain structure & function · 2025Pooled it
- T-Consciousness fields alter germination, growth, and biochemical responses of wheat (Plant signaling & behavior · 2026Article
- Entropy of the resting state cortex in epilepsy.Biomedical physics & engineering express · 2026Article
- Same ages, different stages: Pubertal development in 9- and 10-year olds is associated with entropy of fMRI signals.Developmental cognitive neuroscience · 2026Article
- FuzzyEn Compared to SampEn for Evaluation of Dynamic Complexity.Entropy (Basel, Switzerland) · 2026Article
- Sleep Deprivation in Mice: Looking Beyond the Slow Wave Rebound.Journal of sleep research · 2026Article
- Characterizing electroencephalogram dynamics during sedation withdrawal: Insights into cortical recovery following status epilepticus.Epilepsia open · 2026Article
- Electroencephalographic phenotypes of postoperative delirium in the perioperative period.Journal of anesthesia and translational medicine · 2026Review
- Default Mode Network, Disorganization, and Treatment-Resistant Schizophrenia.Schizophrenia bulletin · 2026Article
- Consciousness, subjectivity, and aging in western thought.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Review
- Prediction of cognitive impairment in epilepsy with spike-and-wave activation in sleep based on EEG.Therapeutic advances in neurological disorders · 2026Article
- Regional and cannabis-related differences in prefrontal multiscale entropy of resting-state EEG.Clinical neurophysiology practice · 2026Article
- From microstates to macroscales: A Critical Review of Maximum Entropy Modeling and Energy Landscape Analysis in functional MRI.Research square · 2025Article
- EEG entropy modulation as a biomarker of emotion regulation and resilience.IBRO neuroscience reports · 2025Review
- Inferring Mental States via Linear and Non-Linear Body Movement Dynamics: A Pilot Study.Sensors (Basel, Switzerland) · 2025Article
- Analyzing Mobility Indicators Using Machine Learning to Detect Mild Cognitive Impairment: A Systematic Scoping Review.Applied clinical informatics · 2025Article
- The role of structural and functional parameters in designing pathology-specific tDCS protocols for primary progressive aphasia.Alzheimer's research & therapy · 2025Article
- Brain complexity represents uncertainty in sequence learning and corroborates habituation deficit in Parkinson disease patients.Scientific reports · 2025Article
14 more citing papers are in PubMed but not listed here.
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Abstract
Entropy is a powerful tool for quantification of the brain function and its information processing capacity. This is evident in its broad domain of applications that range from functional interactivity between the brain regions to quantification of the state of consciousness. A number of previous reviews summarized the use of entropic measures in neuroscience. However, these studies either focused on the overall use of nonlinear analytical methodologies for quantification of the brain activity or their contents pertained to a particular area of neuroscientific research. The present study aims at complementing these previous reviews in two ways. First, by covering the literature that specifically makes use of entropy for studying the brain function. Second, by highlighting the three fields of research in which the use of entropy has yielded highly promising results: the (altered) state of consciousness, the ageing brain, and the quantification of the brain networks' information processing. In so doing, the present overview identifies that the use of entropic measures for the study of consciousness and its (altered) states led the field to substantially advance the previous findings. Moreover, it realizes that the use of these measures for the study of the ageing brain resulted in significant insights on various ways that the process of ageing may affect the dynamics and information processing capacity of the brain. It further reveals that their utilization for analysis of the brain regional interactivity formed a bridge between the previous two research areas, thereby providing further evidence in support of their results. It concludes by highlighting some potential considerations that may help future research to refine the use of entropic measures for the study of brain complexity and its function. The present study helps realize that (despite their seemingly differing lines of inquiry) the study of consciousness, the ageing brain, and the brain networks' information processing are highly interrelated. Specifically, it identifies that the complexity, as quantified by entropy, is a fundamental property of conscious experience, which also plays a vital role in the brain's capacity for adaptation and therefore whose loss by ageing constitutes a basis for diseases and disorders. Interestingly, these two perspectives neatly come together through the association of entropy and the brain capacity for information processing.
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