刺激
神经科学
神经可塑性
脑刺激
局部场电位
节奏
癫痫
脑电图
脑深部刺激
心理学
峰值时间相关塑性
脑电刺激
医学
突触可塑性
疾病
内科学
受体
帕金森病
作者
Yuhao Huang,Rina Zelmann,Peter N. Hadar,Jaquelin Dezha-Peralta,R. Mark Richardson,Ziv M. Williams,Sydney S. Cash,Corey J. Keller,Angelique C. Paulk
标识
DOI:10.1038/s41467-024-51443-1
摘要
Theta-burst stimulation (TBS), a patterned brain stimulation technique that mimics rhythmic bursts of 3–8 Hz endogenous brain rhythms, has emerged as a promising therapeutic approach for treating a wide range of brain disorders, though the neural mechanism of TBS action remains poorly understood. We investigated the neural effects of TBS using intracranial EEG (iEEG) in 10 pre-surgical epilepsy participants undergoing intracranial monitoring. Here we show that individual bursts of direct electrical TBS at 29 frontal and temporal sites evoked strong neural responses spanning broad cortical regions. These responses exhibited dynamic local field potential voltage changes over the course of stimulation presentations, including either increasing or decreasing responses, suggestive of short-term plasticity. Stronger stimulation augmented the mean TBS response amplitude and spread with more recording sites demonstrating short-term plasticity. TBS responses were stimulation site-specific with stronger TBS responses observed in regions with strong baseline stimulation effective (cortico-cortical evoked potentials) and functional (low frequency phase locking) connectivity. Further, we could use these measures to predict stable and varying (e.g. short-term plasticity) TBS response locations. Future work may integrate pre-treatment connectivity alongside other biophysical factors to personalize stimulation parameters, thereby optimizing induction of neuroplasticity within disease-relevant brain networks. Neural mechanisms underpinning theta burst stimulation (TBS) and its implications for neuropsychiatric disorders are not fully understood. Here authors show theta burst stimulation delivered by intracranial electrodes results in measurable responses that change over time, suggestive of neuroplasticity. These responses can be predicted by baseline biophysical parameters such as functional connectivity.
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