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The neural basis of hand choice: An fMRI investigation of the Posterior Parietal Interhemispheric Competition model.手选择的神经基础:对后顶叶两半球竞争模型的 fMRI 研究。
Neuroimage. 2019 Jan 15;185:208-221. doi: 10.1016/j.neuroimage.2018.10.039. Epub 2018 Oct 17.
2
Unilateral, 3D Arm Movement Kinematics Are Encoded in Ipsilateral Human Cortex.单侧三维手臂运动运动学编码在人类对侧皮质中。
J Neurosci. 2018 Nov 21;38(47):10042-10056. doi: 10.1523/JNEUROSCI.0015-18.2018. Epub 2018 Oct 9.
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On the role of the corpus callosum in interhemispheric functional connectivity in humans.胼胝体在人类大脑两半球间功能连接中的作用。
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Peripheral nerve injuries: A retrospective survey of 1124 cases.周围神经损伤:1124例回顾性调查
Neurol India. 2017 May-Jun;65(3):551-555. doi: 10.4103/neuroindia.NI_987_16.
6
Motor compensation and its effects on neural reorganization after stroke.运动补偿及其对脑卒中后神经重组的影响。
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7
Handedness and Graspability Modify Shifts of Visuospatial Attention to Near-Hand Objects.利手性和可抓握性会改变视觉空间注意力向近手物体的转移。
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8
Increased functional connectivity between cortical hand areas and praxis network associated with training-related improvements in non-dominant hand precision drawing.与非优势手精确绘图中与训练相关的改善相关的皮质手部区域和运动网络之间功能连接增加。
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9
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10
A lateralized top-down network for visuospatial attention and neglect.用于视觉空间注意和忽视的偏侧化自上而下网络。
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大脑两半球顶-额部连接预测非优势手技能习得能力。

Interhemispheric Parietal-Frontal Connectivity Predicts the Ability to Acquire a Nondominant Hand Skill.

机构信息

Program in Occupational Therapy, Washington University School of Medicine, St. Louis, Missouri, USA.

Department of Psychological Sciences, University of Missouri, Columbia, Missouri, USA.

出版信息

Brain Connect. 2021 May;11(4):308-318. doi: 10.1089/brain.2020.0916. Epub 2021 Feb 9.

DOI:10.1089/brain.2020.0916
PMID:33403906
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8112712/
Abstract

After chronic impairment of the right dominant hand, some individuals are able to compensate with increased performance with the intact left nondominant hand. This process may depend on the nondominant (right) hemisphere's ability to access dominant (left) hemisphere mechanisms. To predict or modulate patients' ability to compensate with the left hand, we must understand the neural mechanisms and connections that underpin this process. We studied 17 right-handed healthy adults who underwent resting-state functional connectivity (FC) magnetic resonance imaging scans before 10 days of training on a left-hand precision drawing task. We sought to identify right-hemisphere areas where FC from left-hemisphere seeds (primary motor cortex, intraparietal sulcus [IPS], inferior parietal lobule) would predict left-hand skill learning or magnitude. Left-hand skill learning was predicted by convergent FC from left primary motor cortex and left IPS onto the same small region (0.31 cm) in the right superior parietal lobule (SPL). For patients who must compensate with the left hand, the right SPL may play a key role in integrating left-hemisphere mechanisms that typically control the right hand. Our study provides the first model of how interhemispheric functional connections in the human brain may support compensation after chronic injury to the right hand.

摘要

在右手长期受损后,一些人能够通过惯用左手的表现得到提升来进行代偿。这一过程可能依赖于非优势(右)半球获取优势(左)半球机制的能力。为了预测或调节患者用左手进行代偿的能力,我们必须理解支撑这一过程的神经机制和连接。我们研究了 17 名右利手健康成年人,他们在接受左手精准绘图任务 10 天训练前接受了静息态功能连接(FC)磁共振成像扫描。我们试图确定右半球区域中,来自左半球种子(初级运动皮层、顶内沟[IPS]、下顶叶)的 FC 能够预测左手技能学习或幅度。左手技能学习可由左初级运动皮层和左 IPS 到右顶上小叶(SPL)同一小区域(0.31cm)的汇聚 FC 预测。对于必须用左手代偿的患者,右侧 SPL 可能在整合通常控制右手的左半球机制方面发挥关键作用。我们的研究提供了首个模型,说明了人类大脑中的半球间功能连接如何在右手长期受损后支持代偿。