The results show that the interpretability of extracellular signals depends critically on neuronal morphology and synchronization state, and provide a mechanistic framework for the use of STN LFPs as biomarkers in adaptive deep brain stimulation for Parkinson’s disease.
A major challenge in systems neuroscience is understanding how external perturbations interact with ongoing brain activity. Transcranial magnetic stimulation (TMS), increasingly used in both basic and clinical neuroscience and often combined with electroencephalography (EEG), provides a unique opportunity to probe this...
Andrea Veronese, D. Momi, S. Sarasso et al.· bioRxiv· 0 citations
Beta oscillations (13–35 Hz) in the subthalamic nucleus (STN) are a hallmark of Parkinson’s disease (PD), yet little is known about their spatial dynamics. Since traveling waves (spatially propagating oscillations) have been observed in cortical and subcortical structures at different frequencies, we hypothesized that...
Parsa Nilchian, A. Averna, H. Cagnan et al.· bioRxiv· 0 citations
A computational model was developed in which GPe neurons are represented as coupled phase oscillators influenced by experimentally derived phase-response curves and extrinsic inputs, showing that while the model captures general trends, discrepancies exist in peak amplitude and decay rates, suggesting that key biologic...
Functional-connectivity analyses often treat signals sampled from nearby cortical positions as interchangeable, despite anatomical and hemodynamic transitions at the gray-white boundary. We tested whether sampling position constitutes a state-sensitive dimension of macroscale functional organization. In 176 Human Conne...
Muwei Li, Z. Ding, John C. Gore· bioRxiv· 0 citations
Evidence is provided that PV interneuron contribute to spontaneous neurovascular dynamics and to the link between gamma oscillations and resting-state hemodynamic signals, pointing to a significant role in neurovascular changes during non-task-engaged brain states.
Adiya Rakymzhan, Mitsuhiro Fukuda, Alberto L. Vazquez· Journal of Cerebral Blood Fl...· 0 citations
It is suggested that low-intensity EEFs produce modest, morphology-dependent modulation of MN electrophysiological properties, and that variability in neuronal structure and orientation may help explain discrepancies across previous experimental and modeling studies.
Marta Krumina, S. Fernandes, B. Vilne et al.· IEEE transactions on neural...· 0 citations
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