State Transitions During Discrimination Learning in the Gerbil Auditory Cortex Analyzed by Network Causality Metrics.
State Transitions During Discrimination Learning in the Gerbil Auditory Cortex Analyzed by Network Causality Metrics.
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通过网络因果关系指标分析沙鼠听觉皮层辨别学习期间的状态转换
DOI：
10.3389/fnsys.2021.641684
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发表时间：
2021
影响因子：
3
通讯作者：
Ohl FW
中科院分区：
文献类型：
--
作者：
Kozma R;Hu S;Sokolov Y;Wanger T;Schulz AL;Woldeit ML;Gonçalves AI;Ruszinkó M;Ohl FW
本研究采用双向主动回避学习范式，对蒙古沙土鼠听觉辨别学习中从逃避策略向回避策略转换过程中皮层神经网络的演变进行了研究。动物被植入电极阵列集中在表面的初级听觉皮层和皮层电图（ECoG）记录期间进行的听觉Go/NoGo的歧视任务。我们的实验证实了以前的结果，从最初的天真状态的行为突然改变为回避策略的学习进展。我们采用了两个因果关系度量，使用格兰杰因果关系（GC）和新的因果关系（NC），以量化的变化，在ECoG通道之间的因果关系流的动物切换到回避策略。我们发现，反向因果相互作用的通道对的数量显着增加后，动物获得成功的歧视，这表明在皮层网络的结构变化，作为学习的结果。一个合适的图形理论模型来解释认知状态转换过程中的皮层网络演变的研究结果。结构变化导致神经种群的动态变化，这被描述为具有小世界连接的网络图模型中的相变。总的来说，我们的研究结果强调了感觉皮层区域功能重组的重要性，这可能是行为变化的神经贡献者。
This work studies the evolution of cortical networks during the transition from escape strategy to avoidance strategy in auditory discrimination learning in Mongolian gerbils trained by the well-established two-way active avoidance learning paradigm. The animals were implanted with electrode arrays centered on the surface of the primary auditory cortex and electrocorticogram (ECoG) recordings were made during performance of an auditory Go/NoGo discrimination task. Our experiments confirm previous results on a sudden behavioral change from the initial naïve state to an avoidance strategy as learning progresses. We employed two causality metrics using Granger Causality (GC) and New Causality (NC) to quantify changes in the causality flow between ECoG channels as the animals switched to avoidance strategy. We found that the number of channel pairs with inverse causal interaction significantly increased after the animal acquired successful discrimination, which indicates structural changes in the cortical networks as a result of learning. A suitable graph-theoretical model is developed to interpret the findings in terms of cortical networks evolving during cognitive state transitions. Structural changes lead to changes in the dynamics of neural populations, which are described as phase transitions in the network graph model with small-world connections. Overall, our findings underscore the importance of functional reorganization in sensory cortical areas as a possible neural contributor to behavioral changes.
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影响因子：
16.6
作者：
Grosso A;Cambiaghi M;Renna A;Milano L;Roberto Merlo G;Sacco T;Sacchetti B
通讯作者：
Sacchetti B
影响因子：
5.7
作者：
Friston KJ;Bastos AM;Oswal A;van Wijk B;Richter C;Litvak V
通讯作者：
Litvak V
影响因子：
3.7
作者：
Funamizu A;Kanzaki R;Takahashi H
通讯作者：
Takahashi H
使用条件格兰杰因果关系评估运动想象和执行过程中运动区域的有效连接
影响因子：
5.7
作者：
Gao, Qing;Duan, Xujun;Chen, Huafu
通讯作者：
Chen, Huafu
影响因子：
5.3
作者：
Deliano, Matthias;Scheich, Henning;Ohl, Frank W.
通讯作者：
Ohl, Frank W.