TL;DR
A seven-population Wilson-Cowan mean-field model provided mechanistically rigorous explanations of amplitude-dependent network state changes and offer a quantitative framework for adaptive closed-loop deep brain stimulation design.
Both the temporal expression and kinetic accessibility of state D were positively correlated with Montreal Cognitive Assessment scores, suggesting that this integrated configuration underpins high-order cognitive function and may serve as a neural marker of cognitive resilience in Parkinson's disease.
Deep brain stimulation (DBS) is an established intervention for Parkinson’s disease (PD), whereas the network-level effects of prescribed periodic visual input implemented with 10 Hz base pulses remain uncertain. We developed a conductance-based cortico-basal ganglia-thalamic (CBT) model comprising 11 Hodg...
Overall, deep-brain neuromodulation in PD should be viewed as a multi-dimensional therapeutic framework rather than a group of isolated technologies, and DBS remains the clinical benchmark, with durable motor benefits and an expanding mechanistic framework that now extends beyond circuit correction to neurotrophic, pro...
Spontaneous neuronal oscillations support large-scale brain communication and are sensitive to adult aging, yet how their moment-to-moment dynamics change across the adult lifespan and relate to cognition remains unclear. Here, we used resting-state magnetoencephalography (MEG) and time-delay embedded hidden Markov mod...
The findings suggest that emotion-induced network dynamics may reflect sleep disturbances in PD, and establish EEG functional connectivity as a candidate neurophysiological biomarker for PD, with potential applications in both diagnostic classification and the assessment of non-motor symptoms, although validation in la...
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