Potential Mechanisms and Functions of Intermittent Neural Synchronization

被引:14
作者
Ahn, Sungwoo [1 ,3 ]
Rubchinsky, Leonid L. [1 ,2 ]
机构
[1] Indiana Univ Purdue Univ, Dept Math Sci, Indianapolis, IN 46202 USA
[2] Indiana Univ Sch Med, Stark Neurosci Inst, Indianapolis, IN 46202 USA
[3] East Carolina Univ, Dept Math, Greenville, NC USA
关键词
neural synchrony; intermittency; neural oscillations; neural assemblies; delayed-rectifier potassium current; OSCILLATIONS; COMMUNICATION; COGNITION; RHYTHMS;
D O I
10.3389/fncom.2017.00044
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Neural synchronization is believed to play an important role in different brain functions. Synchrony in cortical and subcortical circuits is frequently variable in time and not perfect. Few long intervals of desynchronized dynamicsmay be functionally different from many short desynchronized intervals although the average synchrony may be the same. Recent analysis of imperfect synchrony in different neural systems reported one common feature: neural oscillations may go out of synchrony frequently, but primarily for a short time interval. This study explores potential mechanisms and functional advantages of this short desynchronizations dynamics using computational neuroscience techniques. We show that short desynchronizations are exhibited in coupled neurons if their delayed rectifier potassium current has relatively large values of the voltage-dependent activation time-constant. The delayed activation of potassium current is associated with generation of quickly-rising action potential. This "spikiness" is a very general property of neurons. This may explain why very different neural systems exhibit short desynchronization dynamics. We also show how the distribution of desynchronization durationsmay be independent of the synchronization strength. Finally, we show that short desynchronization dynamics requires weaker synaptic input to reach a pre-set synchrony level. Thus, this dynamics allows for efficient regulation of synchrony and may promote efficient formation of synchronous neural assemblies.
引用
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页数:10
相关论文
共 27 条
[1]   Dynamical Reorganization of Synchronous Activity Patterns in Prefrontal Cortex-Hippocampus Networks During Behavioral Sensitization [J].
Ahn, Sungwoo ;
Rubchinsky, Leonid L. ;
Lapish, Christopher C. .
CEREBRAL CORTEX, 2014, 24 (10) :2553-2561
[2]   Short desynchronization episodes prevail in synchronous dynamics of human brain rhythms [J].
Ahn, Sungwoo ;
Rubchinsky, Leonid L. .
CHAOS, 2013, 23 (01)
[3]   Detecting the temporal structure of intermittent phase locking [J].
Ahn, Sungwoo ;
Park, Choongseok ;
Rubchinsky, Leonid L. .
PHYSICAL REVIEW E, 2011, 84 (01)
[4]  
[Anonymous], 2010, MATH FDN NEUROSCIENC
[5]  
[Anonymous], TRENDS NEUROSCI
[6]  
[Anonymous], 2010, Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting
[7]  
[Anonymous], PHYS REV E
[8]   Neuronal oscillations in cortical networks [J].
Buzsáki, G ;
Draguhn, A .
SCIENCE, 2004, 304 (5679) :1926-1929
[9]   What does gamma coherence tell us about inter-regional neural communication? [J].
Buzsaki, Gyoergy ;
Schomburg, Erik W. .
NATURE NEUROSCIENCE, 2015, 18 (04) :484-489
[10]  
Colgin LL, 2011, CURR OPIN NEUROBIOL, V21, P467, DOI 10.1016/j.conb.2011.04.006