Virtual Cortical Resection Reveals Push-Pull Network Control Preceding Seizure Evolution

被引:155
作者
Khambhati, Ankit N. [1 ,2 ]
Davis, Kathryn A. [2 ,3 ]
Lucas, Timothy H. [2 ,4 ]
Litt, Brian [1 ,2 ,3 ]
Bassett, Danielle S. [1 ,2 ,5 ]
机构
[1] Univ Penn, Dept Bioengn, Philadelphia, PA 19104 USA
[2] Univ Penn, Ctr Neuroengn & Therapeut, Philadelphia, PA 19104 USA
[3] Hosp Univ Penn, Dept Neurol, Philadelphia, PA 19104 USA
[4] Hosp Univ Penn, Dept Neurosurg, Philadelphia, PA 19104 USA
[5] Univ Penn, Dept Elect & Syst Engn, Philadelphia, PA 19104 USA
基金
美国国家卫生研究院; 美国国家科学基金会;
关键词
HIGH-FREQUENCY OSCILLATIONS; EPILEPTOGENIC NETWORKS; EPILEPSY; BRAIN; CONNECTIVITY; DYNAMICS; ONSET; SYNCHRONIZATION; RECORDINGS; COHERENCE;
D O I
10.1016/j.neuron.2016.07.039
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
In similar to 20 million people with drug-resistant epilepsy, focal seizures originating in dysfunctional brain networks will often evolve and spread to surrounding tissue, disrupting function in otherwise normal brain regions. To identify network control mechanisms that regulate seizure spread, we developed a novel tool for pinpointing brain regions that facilitate synchronization in the epileptic network. Our method measures the impact of virtually resecting putative control regions on synchronization in a validated model of the human epileptic network. By applying our technique to time-varying functional networks, we identified brain regions whose topological role is to synchronize or desynchronize the epileptic network. Our results suggest that greater antagonistic push-pull interaction between synchronizing and desynchronizing brain regions better constrains seizure spread. These methods, while applied here to epilepsy, are generalizable to other brain networks and have wide applicability in isolating and mapping functional drivers of brain dynamics in health and disease.
引用
收藏
页码:1170 / 1182
页数:13
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