A biophysical model of dynamic balancing of excitation and inhibition in fast oscillatory large-scale networks

被引：67

作者：

Abeysuriya, Romesh G. ^{[1
]}

Hadida, Jonathan ^{[1
,2
]}

Sotiropoulos, Stamatios N. ^{[2
,3
,4
]}

Jbabdi, Saad ^{[2
]}

Becker, Robert ^{[1
]}

Hunt, Benjamin A. E. ^{[3
,5
]}

Brookes, Matthew J. ^{[3
]}

Woolrich, Mark W. ^{[1
,2
]}

机构：

[1] Univ Oxford, Oxford Ctr Human Brain Act, Wellcome Ctr Integrat Neuroimaging, Dept Psychiat, Oxford, England

[2] Univ Oxford, Oxford Ctr Funct Magnet Resonance Imaging, Wellcome Ctr Integrat Neuroimaging, Brain, Oxford, England

[3] Univ Nottingham, Sir Peter Mansfield Imaging Ctr, Sch Phys & Astron, Nottingham, England

[4] Queens Med Ctr, NIHR, Nottingham Biomed Res Ctr, Nottingham, England

[5] Hosp Sick Children, Res Inst, Dept Diagnost Imaging Neurosci & Mental Hlth, Toronto, ON, Canada

来源：

PLOS COMPUTATIONAL BIOLOGY | 2018年 / 14卷 / 02期

基金：

英国工程与自然科学研究理事会; 英国惠康基金;

关键词：

IN-DIFFUSION MRI; FUNCTIONAL CONNECTIVITY; NEURONAL NETWORKS; CEREBRAL-CORTEX; BRAIN DYNAMICS; MEG; PLASTICITY; TRACTOGRAPHY; MATTER; METASTABILITY;

D O I：

10.1371/journal.pcbi.1006007

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Over long timescales, neuronal dynamics can be robust to quite large perturbations, such as changes in white matter connectivity and grey matter structure through processes including learning, aging, development and certain disease processes. One possible explanation is that robust dynamics are facilitated by homeostatic mechanisms that can dynamically rebalance brain networks. In this study, we simulate a cortical brain network using the Wilson-Cowan neural mass model with conduction delays and noise, and use inhibitory synaptic plasticity (ISP) to dynamically achieve a spatially local balance between excitation and inhibition. Using MEG data from 55 subjects we find that ISP enables us to simultaneously achieve high correlation with multiple measures of functional connectivity, including amplitude envelope correlation and phase locking. Further, we find that ISP successfully achieves local E/I balance, and can consistently predict the functional connectivity computed from real MEG data, for a much wider range of model parameters than is possible with a model without ISP.

引用

页数：27

共 106 条

[1] Brain networks under attack: robustness properties and the impact of lesions [J].