Long-term brain network reorganization predicts responsive neurostimulation outcomes for focal epilepsy

被引:73
作者
Khambhati, Ankit N. [1 ,2 ]
Shafi, Alia [1 ,2 ]
Rao, Vikram R. [2 ,3 ]
Chang, Edward F. [1 ,2 ]
机构
[1] Univ Calif San Francisco, Dept Neurol Surg, San Francisco, CA 94143 USA
[2] Univ Calif San Francisco, Weill Inst Neurosci, San Francisco, CA 94143 USA
[3] Univ Calif San Francisco, Dept Neurol, San Francisco, CA 94143 USA
关键词
HIGH-FREQUENCY OSCILLATIONS; SEIZURE-ONSET; CORTICAL STIMULATION; NONNEGATIVE MATRIX; INTERICTAL BURSTS; DYNAMICS; PATTERNS; DISCHARGES; SYNCHRONY;
D O I
10.1126/scitranslmed.abf6588
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Responsive neurostimulation (RNS) devices, able to detect imminent seizures and to rapidly deliver electrical stimulation to the brain, are effective in reducing seizures in some patients with focal epilepsy. However, therapeutic response to RNS is often slow, is highly variable, and defies prognostication based on clinical factors. A prevailing view holds that RNS efficacy is primarily mediated by acute seizure termination; yet, stimulations greatly outnumber seizures and occur mostly in the interictal state, suggesting chronic modulation of brain networks that generate seizures. Here, using years-long intracranial neural recordings collected during RNS therapy, we found that patients with the greatest therapeutic benefit undergo progressive, frequency-dependent reorganization of interictal functional connectivity. The extent of this reorganization scales directly with seizure reduction and emerges within the first year of RNS treatment, enabling potential early prediction of therapeutic response. Our findings reveal a mechanism for RNS that involves network plasticity and may inform development of next-generation devices for epilepsy.
引用
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页数:11
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