ArticleEntropy (Basel, Switzerland)2020
Approximate Entropy of Brain Network in the Study of Hemispheric Differences.
Article 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 9 papers.
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Who cites it
9 citing papers in PubMed.
- EEG entropy insights in the context of physiological aging and Alzheimer's and Parkinson's diseases: a comprehensive review.GeroScience · 2024Review
- The Antagonism Hypothesis: A New View on the Emergence of Consciousness.Brain and behavior · 2024Review
- Entropy-Based Methods for Motor Fault Detection: A Review.Entropy (Basel, Switzerland) · 2024Review
- Brain complexity in stroke recovery after bihemispheric transcranial direct current stimulation in mice.Brain communications · 2024Article
- Entropy and Cross-Level Orderliness in Light of the Interconnection between the Neural System and Consciousness.Entropy (Basel, Switzerland) · 2023Review
- Optimized LightGBM Power Fingerprint Identification Based on Entropy Features.Entropy (Basel, Switzerland) · 2022Article
- Detecting Metabolic Thresholds from Nonlinear Analysis of Heart Rate Time Series: A Review.International journal of environmental research and public health · 2022Review
- Entropy in Brain Networks.Entropy (Basel, Switzerland) · 2021Article
- BFF: Bayesian, Fiducial, and Frequentist Analysis of Cognitive Engagement among Cognitively Impaired Older Adults.Entropy (Basel, Switzerland) · 2021Article
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7 authors.
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Abstract
Human brain, a dynamic complex system, can be studied with different approaches, including linear and nonlinear ones. One of the nonlinear approaches widely used in electroencephalographic (EEG) analyses is the entropy, the measurement of disorder in a system. The present study investigates brain networks applying approximate entropy (ApEn) measure for assessing the hemispheric EEG differences; reproducibility and stability of ApEn data across separate recording sessions were evaluated. Twenty healthy adult volunteers were submitted to eyes-closed resting EEG recordings, for 80 recordings. Significant differences in the occipital region, with higher values of entropy in the left hemisphere than in the right one, show that the hemispheres become active with different intensities according to the performed function. Besides, the present methodology proved to be reproducible and stable, when carried out on relatively brief EEG epochs but also at a 1-week distance in a group of 36 subjects. Nonlinear approaches represent an interesting probe to study the dynamics of brain networks. ApEn technique might provide more insight into the pathophysiological processes underlying age-related brain disconnection as well as for monitoring the impact of pharmacological and rehabilitation treatments.
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