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主动触觉中小尺度特征的脑网络。

Brain network for small-scale features in active touch.

作者信息

Babadi Saeed, Gassert Roger, Hayward Vincent, Piccirelli Marco, Kollias Spyros, Milner Theodore E

机构信息

Department of Kinesiology and Physical Education, McGill University, Montreal, QC H2W 1S4, Canada.

Rehabilitation Engineering Laboratory, D-HEST, ETH Zürich, Zurich, Switzerland.

出版信息

Neuroimage Rep. 2022 Aug 20;2(4):100123. doi: 10.1016/j.ynirp.2022.100123. eCollection 2022 Dec.

Abstract

An important tactile function is the active detection of small-scale features, such as edges or asperities, which depends on fine hand motor control. Using a resting-state fMRI paradigm, we sought to identify the functional connectivity of the brain network engaged in mapping tactile inputs to and from regions engaged in motor preparation and planning during active touch. Human participants actively located small-scale tactile features that were rendered by a computer-controlled tactile display. To induce rapid perceptual learning, the contrast between the target and the surround was reduced whenever a criterion level of success was achieved, thereby raising the task difficulty. Multiple cortical and subcortical neural connections within a parietal-cerebellar-frontal network were identified by correlating behavioral performance with changes in functional connectivity. These cortical areas reflected perceptual, cognitive, and attention-based processes required to detect and use small-scale tactile features for hand dexterity.

摘要

一项重要的触觉功能是主动检测小规模特征,如边缘或粗糙度,这依赖于精细的手部运动控制。我们采用静息态功能磁共振成像范式,试图识别在主动触摸过程中,参与将触觉输入映射到运动准备和计划区域以及从这些区域映射出触觉输入的脑网络的功能连接。人类参与者主动定位由计算机控制的触觉显示器呈现的小规模触觉特征。为了诱导快速的知觉学习,每当达到成功的标准水平时,就降低目标与周围环境之间的对比度,从而提高任务难度。通过将行为表现与功能连接的变化相关联,确定了顶叶 - 小脑 - 额叶网络内的多个皮质和皮质下神经连接。这些皮质区域反映了检测和利用小规模触觉特征以实现手部灵活性所需的知觉、认知和基于注意力的过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b18b/12172874/4c9a0df29ff1/gr1.jpg

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