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Computational modeling and human studies suggest that transcranial alternating current stimulation (tACS) modulates alpha oscillations by entrainment. Yet, a direct examination of how tACS interacts with neuronal spiking activity that gives rise to the alpha oscillation in the thalamo-cortical system has been lacking. Here, we demonstrate how tACS entrains endogenous alpha oscillations in head-fixed awake ferrets. We first show that endogenous alpha oscillations in the posterior parietal cortex drive the primary visual cortex and the higher-order visual thalamus. Spike-field coherence is largest for the alpha frequency band, and presumed fast-spiking inhibitory interneurons exhibit strongest coupling to this oscillation. We then apply alpha-tACS that results in a field strength comparable to what is commonly used in humans (<0.5 mV/mm). Both in these ferret experiments and in a computational model of the thalamo-cortical system, tACS entrains alpha oscillations by following the theoretically predicted Arnold tongue. Intriguingly, the fast-spiking inhibitory interneurons exhibit a stronger entrainment response to tACS in both the ferret experiments and the computational model, likely due to their stronger endogenous coupling to the alpha oscillation. Our findings demonstrate the in vivo mechanism of action for the modulation of the alpha oscillation by tACS.
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http://dx.doi.org/10.1038/s41467-021-23021-2 | DOI Listing |
Brain Stimul
September 2025
Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom. Electronic address:
Background: Precisely timed brain stimulation, such as phase-locked deep brain stimulation (PLDBS), offers a promising approach to modulating dysfunctional neural networks by enhancing or suppressing specific oscillations. However, its clinical application has been hindered by the lack of user-friendly systems and the challenge of real-time phase estimation amid stimulation artifacts.
Material And Method: In this work, we developed a clinically translatable PLDBS framework that enables real-time, cycle-by-cycle stimulation using standard amplifiers and a computer-in-the-loop system.
bioRxiv
August 2025
Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago, Chile.
Whole-brain models are valuable tools for understanding brain dynamics in health and disease by enabling the testing of causal mechanisms and identification of therapeutic targets through dynamic simulations. Among these models, biophysically inspired neural mass models have been widely used to simulate electrophysiological recordings, such as MEG and EEG. However, traditional models face limitations, including susceptibility to hyperexcitation, which constrains their ability to capture the full richness of neural dynamics.
View Article and Find Full Text PDFGlucose and paracrine regulation on α-cells, particularly with respect to sex differences, remains unclear. Hence, we imaged islets of GluCre:GCaMP6f mice in pancreatic slices, additionally loaded with a red Ca²⁺ dye, to precisely interrogate Ca²⁺ dynamics in α-cells and the adjacent β- and δ-cells. During a glucose ramp (1.
View Article and Find Full Text PDFbioRxiv
August 2025
Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, Atlanta, GA.
Gamma oscillations (30-100 Hz) have long been theorized to play a key role in sensory processing and attention by coordinating neural firing across distributed neurons. Gamma oscillations can be generated internally by neural circuits during attention or exogenously by stimuli that turn on and off at gamma frequencies. However, it remains unknown if driving gamma activity via exogenous sensory stimulation affects attention.
View Article and Find Full Text PDFVisual search models have long emphasised that task-relevant items must be prioritized for optimal performance. While it is known that search efficiency also benefits from active distractor inhibition, the underlying neuronal mechanisms are debated. Neuronal alpha oscillations (7-14 Hz) have been associated with functional inhibition of cortical excitability, as well as distractor suppression in spatial attention and visual working memory tasks.
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