Regionally Specific Regulation of Sensorimotor Network Connectivity Following Tactile Improvement.
Regionally Specific Regulation of Sensorimotor Network Connectivity Following Tactile Improvement.
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DOI：
10.1155/2017/5270532
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发表时间：
2017
影响因子：
3.1
通讯作者：
Schmidt-Wilcke T
中科院分区：
文献类型：
--
作者：
Heba S;Lenz M;Kalisch T;Höffken O;Schweizer LM;Glaubitz B;Puts NAJ;Tegenthoff M;Dinse HR;Schmidt-Wilcke T
脑血氧水平依赖(BOLD)信号中固有的、无任务的低频波动之间的相关性为从内在功能连接性(IFC)方面描绘其功能结构提供了有力的工具。尽管如此，目前仍不清楚IFC在学习过程中是如何调节的。我们在训练非依赖的重复感觉刺激(RSS)前后使用了全脑静息状态磁共振成像，这是已知的诱导躯体感觉皮质重组的方法。我们调查了感觉运动网络中的哪些区域对神经可塑性敏感(即，功能连接发生变化的地方)，以及IFC可能指示触觉性能增强的地方。我们假设IFC在那些主要接受传入触觉输入的大脑区域增加。RSS后感觉运动网络的内在连通性增强，不仅在刺激手的对侧中央后回，而且在联合脑区，IFC与触觉操作或学习呈正相关。我们还观察到，RSS导致较高皮质水平的网络衰减，这可能促进了触觉辨别的便利化。我们发现，静息状态的大胆波动与行为表现和感官学习有关，这表明休息时的网络波动预示着行为变化和神经可塑性。
Correlations between inherent, task-free low-frequency fluctuations in the blood oxygenation level-dependent (BOLD) signals of the brain provide a potent tool to delineate its functional architecture in terms of intrinsic functional connectivity (iFC). Still, it remains unclear how iFC is modulated during learning. We employed whole-brain resting-state magnetic resonance imaging prior to and after training-independent repetitive sensory stimulation (rSS), which is known to induce somatosensory cortical reorganization. We investigated which areas in the sensorimotor network are susceptible to neural plasticity (i.e., where changes in functional connectivity occurred) and where iFC might be indicative of enhanced tactile performance. We hypothesized iFC to increase in those brain regions primarily receiving the afferent tactile input. Strengthened intrinsic connectivity within the sensorimotor network after rSS was found not only in the postcentral gyrus contralateral to the stimulated hand, but also in associative brain regions, where iFC correlated positively with tactile performance or learning. We also observed that rSS led to attenuation of the network at higher cortical levels, which possibly promotes facilitation of tactile discrimination. We found that resting-state BOLD fluctuations are linked to behavioral performance and sensory learning, indicating that network fluctuations at rest are predictive of behavioral changes and neuroplasticity.
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影响因子：
2.9
作者：
Knoblauch A;Sommer FT
通讯作者：
Sommer FT
DOI：
10.1016/j.cub.2009.04.028
发表时间：
2009-06-23
期刊：
Current biology : CB
影响因子：
--
作者：
Albert NB;Robertson EM;Miall RC
通讯作者：
Miall RC
影响因子：
16.2
作者：
Knott, GW;Quairiaux, C;Welker, E
通讯作者：
Welker, E
影响因子：
2.9
作者：
Freyer F;Reinacher M;Nolte G;Dinse HR;Ritter P
通讯作者：
Ritter P
影响因子：
1.7
作者：
Godde, B;Spengler, F;Dinse, HR
通讯作者：
Dinse, HR