Homeostasis of Brain Dynamics in Epilepsy: A Feedback Control Systems Perspective of Seizures

被引:55
作者
Chakravarthy, Niranjan [1 ]
Tsakalis, Kostas [1 ]
Sabesan, Shivkumar [1 ]
Iasemidis, Leon [2 ]
机构
[1] Arizona State Univ, Dept Elect Engn, Tempe, AZ 85287 USA
[2] Arizona State Univ, Harrington Dept Bioengn, Tempe, AZ 85287 USA
关键词
Epileptic seizures; Feedback control; Neural population models; Coupled systems; ACTIVITY-DEPENDENT REGULATION; HIGHLY OPTIMIZED TOLERANCE; PERFORMANCE LIMITATIONS; INTRINSIC EXCITABILITY; NEURONAL OSCILLATIONS; SYNAPTIC PLASTICITY; QUANTAL AMPLITUDE; BASAL GANGLIA; POWER LAWS; MODEL;
D O I
10.1007/s10439-008-9625-6
中图分类号
R318 [生物医学工程];
学科分类号
100103 [病原生物学];
摘要
In an effort to understand basic functional mechanisms that can produce epileptic seizures, some key features are introduced in coupled lumped-parameter neural population models that produce "seizure"-like events and dynamics similar to the ones during the route of the epileptic brain towards seizures. In these models, modified from existing ones in the literature, internal feedback mechanisms are incorporated to maintain the normal low level of synchronous behavior in the presence of coupling variations. While the internal feedback is developed using basic feedback systems principles, it is also functionally equivalent to actual neurophysiological mechanisms such as homeostasis that act to maintain normal activity in neural systems that are subject to extrinsic and intrinsic perturbations. Here it is hypothesized that a plausible cause of seizures is a pathology in the internal feedback action; normal internal feedback quickly regulates an abnormally high coupling between the neural populations, whereas pathological internal feedback can lead to "seizure"-like high amplitude oscillations. Several external seizure-control paradigms, that act to achieve the operational objective of maintaining normal levels of synchronous behavior, are also developed and tested in this paper. In particular, closed-loop "modulating" control with predefined stimuli, and closed-loop feedback decoupling control are considered. Among these, feedback decoupling control is the consistently successful and robust seizure-control strategy. The proposed model and remedies are consistent with a variety of recent observations in the human and animal epileptic brain, and with theories from nonlinear systems, adaptive systems, optimization, and neurophysiology. The results from the analysis of these models have two key implications, namely, developing a basic theory for epilepsy and other brain disorders, and the development of a robust seizure-control device through electrical stimulation and/or drug intervention modalities.
引用
收藏
页码:565 / 585
页数:21
相关论文
共 86 条
[1]
Synaptic plasticity: taming the beast [J].
Abbott, L. F. ;
Nelson, Sacha B. .
NATURE NEUROSCIENCE, 2000, 3 (11) :1178-1183
[2]
Abbott LF, 1997, SCIENCE, V275, P220, DOI 10.1126/science.275.5297.221
[3]
ANALYSIS OF NEURON MODELS WITH DYNAMICALLY REGULATED CONDUCTANCES [J].
ABBOTT, LF ;
LEMASSON, G .
NEURAL COMPUTATION, 1993, 5 (06) :823-842
[4]
ADAPTIVE SYSTEMS, LACK OF PERSISTENCY OF EXCITATION AND BURSTING PHENOMENA [J].
ANDERSON, BDO .
AUTOMATICA, 1985, 21 (03) :247-258
[5]
[Anonymous], 2001, THALAMOCORTICAL ASSE
[6]
Astrom K. J., 1989, Proceedings of the 1989 American Control Conference (Cat. No.89CH2772-2), P1693
[7]
Nonlinear interdependence in neural systems: Motivation, theory, and relevance [J].
Breakspear, M ;
Terry, JR .
INTERNATIONAL JOURNAL OF NEUROSCIENCE, 2002, 112 (10) :1263-1284
[8]
Oscillatory nature of human basal ganglia activity: Relationship to the pathophysiology of Parkinson's disease [J].
Brown, P .
MOVEMENT DISORDERS, 2003, 18 (04) :357-363
[9]
Highly optimized tolerance: A mechanism for power laws in designed systems [J].
Carlson, JM ;
Doyle, J .
PHYSICAL REVIEW E, 1999, 60 (02) :1412-1427
[10]
CHAKRAVARTHY N, 2007, THESIS ARIZONA STATE