具有更高可控性运动图像的个体大脑的结构和功能特征
Tomoya Furuta1,2, Tomoyo Morita1,2, Gen Miura1,2
1Center for Information and Neural Networks (CiNet), Advanced ICT Research Institute, National Institute of Information and Communications Technology (NICT), 1-4 Yamadaoka, Suita, Osaka, 565-0871, Japan.
具有较好的运动图像技能的人表现出不同的大脑结构和功能. 运动图像的更高的可控性与发达的高级前对对面网络有关.
科学领域:
- 神经科学是一个神经科学.
- 认知神经科学 认知神经科学
- 神经成像是一种神经成像.
背景情况:
- 运动图像,在头脑中模拟运动,对于运动和康复至关重要.
- 了解运动图像能力的个体差异是有限的.
- 运动图像能力的神经支需要进一步调查.
研究的目的:
- 为了确定与高运动图像可控性相关的结构性和功能性大脑特征.
- 为了研究高级前面对面网络和运动成像能力之间的关系.
主要方法:
- 使用运动影像可控性 (CMI) 测试进行客观评估.
- 分析了89名参与者的T1加权结构MRI数据.
- 分析了28名参与者的功能性MRI数据,以检查大脑激活和连接.
主要成果:
- 较高的CMI得分者表现出更大的双边上方前端平行体白质体积.
- CMI测试激活了双边的背部前运动皮质 (PMD) 和上顶叶 (SPL).
- 在高得分者中观察到左侧PMD/右侧SPL和感觉/运动区域之间的功能合得到了增强.
结论:
- 运动图像的可控性取决于高级前面对面网络的发展.
- 有效的运动图像依赖于这个网络与多感官预测的感官区域的相互作用.
- 这项研究为运动图像能力的个体差异的神经基础提供了新的见解.
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