ArticleScientific reports2017
Sample entropy reveals an age-related reduction in the complexity of dynamic brain.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
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Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A comprehensive analysis of brain network complexity in task-based fMRI using entropy: systematic review.Brain imaging and behavior · 2026Pooled it
- Task-specific dynamical entropy variations in EEG as a biomarker for Parkinson's disease progression.GeroScience · 2026Article
- GPCR systems coordinate cellular resilience against aging-associated stress.Frontiers in molecular biosciences · 2026Review
- Review of Dynamic Resting-State Methods in Neuroimaging: Applications to Depression and Rumination.Human brain mapping · 2025Review
- Infra-slow scale-free dynamics modulate the connection of neural and behavioral variability during attention.Communications biology · 2025Article
- Normative Brain Entropy Across the Lifespan.bioRxiv : the preprint server for biology · 2025Article
- Differences in brain function entropy due to cognitive impairment: Application of functional near infrared spectroscopy measures during dual-tasking.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2025Article
- Brain structural covariances in the ageing brain in the UK Biobank.Brain structure & function · 2024Article
- Sex differences of signal complexity at resting-state functional magnetic resonance imaging and their associations with the estrogen-signaling pathway in the brain.Cognitive neurodynamics · 2024Article
- Point of Care Testing (POCT) in Psychopathology Using Fractal Analysis and Hilbert Huang Transform of Electroencephalogram (EEG).Advances in neurobiology · 2024Article
- Examining Neural Connectivity in Schizophrenia Using Task-Based EEG: A Graph Theory Approach.Sensors (Basel, Switzerland) · 2023Article
- From local properties to brain-wide organization: A review of intraregional temporal features in functional magnetic resonance imaging data.Human brain mapping · 2023Review
- FMRI Complexity Correlates with Tau-PET and Cognitive Decline in Late-Onset and Autosomal Dominant Alzheimer's Disease.Journal of Alzheimer's disease : JAD · 2023Article
- The sex effect on balance control while standing on vestibular-demanding tasks with/without vestibular simulations: implication for sensorimotor training for future space missions.Frontiers in physiology · 2023Article
- Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks.BMC medical informatics and decision making · 2022Article
- On the Spatial Distribution of Temporal Complexity in Resting State and Task Functional MRI.Entropy (Basel, Switzerland) · 2022Article
- Dynamical Complexity Fingerprints of Occupation-Dependent Brain Functional Networks in Professional Seafarers.Frontiers in neuroscience · 2022Article
- GPCRs Are Optimal Regulators of Complex Biological Systems and Orchestrate the Interface between Health and Disease.International journal of molecular sciences · 2021Review
- Regularity and randomness in ageing: Differences in resting-state EEG complexity measured by largest Lyapunov exponent.Neuroimage. Reports · 2021Article
- Interindividual Signatures of fMRI Temporal Fluctuations.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
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3 authors.
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Abstract
Dynamic reconfiguration of the human brain is characterized by the nature of complexity. The purpose of this study was to measure such complexity and also analyze its association with age. We modeled the dynamic reconfiguration process by dynamic functional connectivity, which was established by resting-state functional magnetic resonance imaging (fMRI) data, and we measured complexity within the dynamic functional connectivity by sample entropy (SampEn). A brainwide map of SampEn in healthy subjects shows larger values in the caudate, the olfactory gyrus, the amygdala, and the hippocampus, and lower values in primary sensorimotor and visual areas. Association analysis in healthy subjects indicated that SampEn of the amygdala-cortical connectivity decreases with advancing age. Such age-related loss of SampEn, however, disappears in patients with schizophrenia. These findings suggest that SampEn of the dynamic functional connectivity is a promising indicator of normal aging.
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