Drug-resistant focal epilepsy in children is associated with increased modal controllability of the whole brain and epileptogenic regions

被引:0
作者
Aswin Chari
Kiran K. Seunarine
Xiaosong He
Martin M. Tisdall
Christopher A. Clark
Dani S. Bassett
Rod C. Scott
Richard E. Rosch
机构
[1] Great Ormond Street Institute of Child Health,Developmental Neurosciences
[2] University College London,Department of Neurosurgery
[3] Great Ormond Street Hospital,Department of Bioengineering, Electrical & Systems Engineering, Physics & Astronomy, Neurology, and Psychiatry
[4] University of Pennsylvania,Department of Psychology, School of Humanities and Social Sciences
[5] University of Science and Technology of China,Department of Paediatric Neurology
[6] Santa Fe Institute,Department of Neurological Sciences
[7] Great Ormond Street Hospital,Department of Paediatric Neurology
[8] University of Vermont,MRC Centre for Neurodevelopmental Disorders
[9] Nemours Children’s Hospital,undefined
[10] King’s College London,undefined
来源
Communications Biology | / 5卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Network control theory provides a framework by which neurophysiological dynamics of the brain can be modelled as a function of the structural connectome constructed from diffusion MRI. Average controllability describes the ability of a region to drive the brain to easy-to-reach neurophysiological states whilst modal controllability describes the ability of a region to drive the brain to difficult-to-reach states. In this study, we identify increases in mean average and modal controllability in children with drug-resistant epilepsy compared to healthy controls. Using simulations, we purport that these changes may be a result of increased thalamocortical connectivity. At the node level, we demonstrate decreased modal controllability in the thalamus and posterior cingulate regions. In those undergoing resective surgery, we also demonstrate increased modal controllability of the resected parcels, a finding specific to patients who were rendered seizure free following surgery. Changes in controllability are a manifestation of brain network dysfunction in epilepsy and may be a useful construct to understand the pathophysiology of this archetypical network disease. Understanding the mechanisms underlying these controllability changes may also facilitate the design of network-focussed interventions that seek to normalise network structure and function.
引用
收藏
相关论文
共 121 条
[1]  
Scott RC(2016)Network science for the identification of novel therapeutic targets in epilepsy F1000Res. 5 893-1483
[2]  
Scott RC(2018)WONOEP APPRAISAL: the many facets of epilepsy networks Epilepsia 59 1475-1182
[3]  
Khambhati AN(2016)Virtual cortical resection reveals push-pull network control preceding seizure evolution Neuron 91 1170-1972
[4]  
Davis KA(2019)Characterizing the role of the structural connectome in seizure dynamics Brain 142 1955-3905
[5]  
Lucas TH(2019)Virtual resection predicts surgical outcome for drug-resistant epilepsy Brain 142 3892-127
[6]  
Litt B(2020)Emerging roles of network analysis for epilepsy Epilepsy Res. 159 106255-2652
[7]  
Bassett DS(2020)Interictal structural and functional connectivity in idiopathic generalized epilepsy: a systematic review of graph theoretical studies Epilepsy Behav. 106 107013-352
[8]  
Shah P(2019)Microstructure-informed connectomics: enriching large-scale descriptions of healthy and diseased brains Brain Connect 9 113-2233
[9]  
Kini LG(2020)Connectome biomarkers of drug-resistant epilepsy Epilepsia 140 2639-2566.e7
[10]  
Stacey W(2017)Anatomic consistencies across epilepsies: a stereotactic-EEG informed high-resolution structural connectivity study Brain 17 026031-877