Multiple sensitivity profiles to diversity and transition structure in non-stationary input
Multiple sensitivity profiles to diversity and transition structure in non-stationary input
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非平稳输入中对多样性和过渡结构的多个敏感度曲线
DOI：
10.1016/j.neuroimage.2012.01.041
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发表时间：
2012
期刊：
影响因子：
5.7
通讯作者：
U. Hasson
中科院分区：
文献类型：
--
作者：
Michael J. Tobia;V. Iacovella;U. Hasson
最近的形式化表明，人脑对环境的有序程度进行编码，并利用这些知识来优化不久的将来的感知和表现。然而，人们对大脑如何自发编码秩序的神经基础知之甚少。研究表明，在需要注意输入的任务中以及当序列顺序随时间不变时，外侧颞叶皮层和海马体的活动与短视觉序列的顺序线性相关。在这里，我们检查了对顺序的敏感性是否表现在线性和非线性 BOLD 响应曲线中，量化了顺序敏感区域作为功能网络运行的程度，并使用一种范式评估了这些问题，在该范式中，可以完成正在进行的任务的性能，而无需注意其顺序被操纵的刺激。参与者聆听以非平稳顺序为特征的 10 分钟音调序列，功能磁共振成像识别出对该输入的时变统计特征敏感的皮层区域。通过香农熵量化，周裂区域的活动与输入多样性呈负相关。腹侧前运动区、外侧颞区和岛叶区域的活动与系列中的过渡约束强度线性、抛物线或通过阶跃函数相关，并通过马尔可夫熵进行量化。格兰杰因果分析表明，顺序敏感区域形成了一个功能网络，其中对顺序显示出非线性响应的区域与显示出线性响应的区域相比具有更多的传入连通性。这些发现确定了通过多种响应曲线自发地编码和响应秩序的各个方面的网络，并且在生成和门控预测性神经活动中发挥着核心作用。
Recent formalizations suggest that the human brain codes for the degree of order in the environment and utilizes this knowledge to optimize perception and performance in the immediate future. However, the neural bases of how the brain spontaneously codes for order are poorly understood. It has been shown that activity in lateral temporal cortex and the hippocampus is linearly correlated with the order of short visual series under tasks requiring attention to the input and when series order is invariant over time. Here, we examined if sensitivity to order is manifested in both linear and non-linear BOLD response profiles, quantified the degree to which order-sensitive regions operate as a functional network, and evaluated these questions using a paradigm in which performance of the ongoing task could be completed without any attention to the stimulus whose order was manipulated. Participants listened to a 10-minute sequence of tones characterized by non-stationary order, and fMRI identified cortical regions sensitive to time-varying statistical features of this input. Activity in perisylvian regions was negatively correlated with input diversity, quantified via Shannon's Entropy. Activity in ventral premotor, lateral temporal, and insular regions was correlated linearly, parabolically, or via a step-function with the strength of transition constraints in the series, quantified via Markov Entropy. Granger-causality analysis revealed that order-sensitive regions form a functional network, with regions showing non-linear responses to order associated with more afferent connectivity than those showing linear responses. These findings identify networks that spontaneously code and respond to diverse aspects of order via multiple response profiles, and that play a central role in generating and gating predictive neural activity.
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影响因子：
3.7
作者：
Stephen Wilson;Istvan Molnar-Szakacs;M. Iacoboni
通讯作者：
Stephen Wilson;Istvan Molnar-Szakacs;M. Iacoboni
影响因子：
2
作者：
B. Knowlton;L. Squire;M. Gluck
通讯作者：
B. Knowlton;L. Squire;M. Gluck
视觉质量决定了神经重复效应的方向。
DOI：
10.1093/cercor/bhj159
发表时间：
2007
期刊：
Cerebral cortex (New York, N.Y. : 1991)
影响因子：
--
作者：
Turk-Browne,NB;Yi,D-J;Leber,AB;Chun,MM
通讯作者：
Chun,MM
DOI：
10.1006/cbmr.1996.0014
发表时间：
1996-06-01
期刊：
COMPUTERS AND BIOMEDICAL RESEARCH
影响因子：
--
作者：
Cox, RW
通讯作者：
Cox, RW
影响因子：
3.7
作者：
Fischl, B;van der Kouwe, A;Dale, AM
通讯作者：
Dale, AM