ArticleFrontiers in neurology2014
Neuronal Entropy Depends on the Level of Alertness in the Parkinsonian Globus Pallidus in vivo.
Article in Frontiers in neurology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 17 citations in OpenAlex.
- Task-specific dynamical entropy variations in EEG as a biomarker for Parkinson's disease progression.GeroScience · 2026Article
- Dorsal and median raphe neuronal firing dynamics characterized by nonlinear measures.PLoS computational biology · 2024Article
- From signals to music: a bottom-up approach to the structure of neuronal activity.Frontiers in systems neuroscience · 2023Article
- Entropy Could Quantify Brain Activation Induced by Mechanical Impedance-Restrained Active Arm Motion: A Functional NIRS Study.Entropy (Basel, Switzerland) · 2022Article
- On the Motion of Spikes: Turbulent-Like Neuronal Activity in the Human Basal Ganglia.Frontiers in human neuroscience · 2018Article
- Subthalamic neural entropy is a feature of freezing of gait in freely moving people with Parkinson's disease.Neurobiology of disease · 2017Article
- Structure Function Revisited: A Simple Tool for Complex Analysis of Neuronal Activity.Frontiers in human neuroscience · 2017Article
- Neuronal Entropy-Rate Feature of Entopeduncular Nucleus in Rat Model of Parkinson's Disease.International journal of neural systems · 2016Article
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Authors and funding
4 authors at 1 institution in 1 country.
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Abstract
A new working hypothesis of Parkinson's disease (PD) proposes to focus on the central role of entropy increase in the basal ganglia (BG) in movement disorders. The conditions necessary for entropy increase in vivo are, however, still not fully described. We recorded the activity of single globus pallidus pars interna neurons during the transition from deep anesthesia to full alertness in relaxed, head-restrained, control, and parkinsonian (6-hydroxydopamine-lesioned group-lesioned) rats. We found that during awakening from anesthesia, the variation of neuronal entropy was significantly higher in the parkinsonian than in the control group. This implies in our view that in PD the entropy of the output neurons of the BG varies dynamically with the input to the network, which is determined by the level of alertness. Therefore, entropy needs to be interpreted as a dynamic, emergent property that characterizes the global state of the BG neuronal network, rather than a static property of parkinsonian neurons themselves. Within the framework of the "entropy hypothesis," this implies the presence of a pathological feedback loop in the parkinsonian BG, where increasing the network input results in a further increase of neuronal entropy and a worsening of akinesia.
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