Cycling reduces the entropy of neuronal activity in the human adult cortex
Ferre, I. B. S.; Corso, G.; dos Santos Lima, G. Z.; Lopes, S. R.; Leocadio-Miguel, M. A.; Franca, L.; de Lima Prado, T.; Araujo, J. F.
Show abstract
Electroencephalogram (EEG) data is often analyzed from a Brain Complexity (BC) perspective, having successfully been applied to study the brain in both health and disease. In this study, we employed recurrence entropy to quantify BC associated with the neurophysiology of movement by comparing BC in both resting state and cycling movement. We measured EEG in 24 healthy adults, and placed the electrodes on occipital, parietal, temporal and frontal sites, on both the right and left sides. EEG measurements were performed for cycling and resting states and for eyes closed and open. We then computed recurrence entropy for the acquired EEG series. Our results show that open eyes show larger entropy compared to closed eyes; the entropy is also larger for resting state, compared to cycling state for all analyzed brain regions. The decrease in neuronal complexity measured by the recurrence entropy could explain the neural mechanisms involved in how the cycling movements suppress the freezing of gate in patients with Parkinsons disease due to the constant sensory feedback caused by cycling that is associated with entropy reduction.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- EEG in game user analysis: A framework for expertise classification during gameplay 95%
- Effect of high-intensity anaerobic exercise on electrocortical activity in athletes and non-athletes 95%
- Stimulus-induced narrow-band gamma oscillations in humans can be recorded using open-hardware low-cost EEG amplifier 95%
Similar papers in this journal
- The Relationship between Stability of Interpersonal Coordination and Inter-Brain EEG Synchronization during Anti-phase Tapping 95%
- Ambulatory physiological measures obtained under naturalistic urban mobility conditions have acceptable reliability 94%
- Brain network hypersensitivity underlies pain crises in sickle cell disease 94%
Similar papers in this journal
- Scorepochs: a computer-aided scoring tool for resting-state M/EEG epochs 96%
- Feasibility of Ultra-Short Term Analysis of Heart Rate and Systolic Arterial Pressure Variability at Rest and During Stress via Time-domain and Entropy-based Measures 95%
- Comparison of wearable and clinical devices for acquisition of peripheral nervous system signals 95%
Similar papers in this journal
Similar papers in this journal
- A Transfer Entropy-based methodology to analyze information flow under eyes-open and eyes-closed conditions with a clinical perspective 96%
- Local and Global Measures of Information Storage for the Assessment of Heartbeat-Evoked Cortical Responses 96%
- Subject, session and task effects on power, connectivity and network centrality: a source-based EEG study 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.