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Distributed representation of single touches in somatosensory and visual cortex

机译:体感和视觉皮层中单点触摸的分布式表示

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摘要

Multi‐voxel pattern analysis (MVPA) was used to analyze blood–oxygen level dependent functional magnetic resonance imaging (BOLD fMRI) data, which were acquired as human subjects received brief vibrotactile stimulation of their hands and feet. Support vector machines trained and tested on the whole brain fMRI data were able to accurately decode the body site of single touches, with mean performance of 92% in a two‐way discrimination task (chance performance 50%) and 70% in a four‐way discrimination task (chance performance 25%). Primary and secondary somatosensory areas (S1 and S2) alone decoded the touched body site with high accuracy. S1 was more accurate at decoding touches closely spaced on the body surface (different fingers of the same hand) whereas S2 and S1 were equally accurate at decoding widely spaced touches (hand vs. foot). The hand and foot regions of S1 (S1hand and S1foot) were separately examined in a two‐way classification task. S1hand was better able to decode the hand of stimulation (left vs. right), and S1foot was better able to decode the foot of stimulation. In addition to S1 and S2, vibrotactile responses were observed in a region of visual cortex, areas MST and STP (MST/STP) in lateral occipito‐temporal lobe. MST/STP was able to accurately decode the hand but not the foot of stimulation, supporting the idea of a role for MST/STP in eye‐hand coordination. Hum Brain Mapp 2009. © 2009 Wiley‐Liss, Inc.
机译:多体素模式分析(MVPA)用于分析血氧水平依赖性功能磁共振成像(BOLD fMRI)数据,这些数据是在人类对象受到手和脚的短暂触觉刺激后获得的。在全脑fMRI数据上经过训练和测试的支持向量机能够准确解码单次触摸的身体部位,在双向辨别任务中的平均表现为92%(机会表现为50%),在四次辨别任务中的平均表现为70%方式歧视任务(机会绩效25%)。初级和次级体感区域(S1和S2)单独对触摸的身体部位进行了高精度解码。 S1在解码紧密间隔在身体表面(同一只手的不同手指)上的触摸时更准确,而S2和S1在解码较宽间隔的触摸(手与脚)上同样准确。在双向分类任务中,分别检查了S1的手和脚区域(S1hand和S1foot)。 S1hand能够更好地解码刺激的手(左与右),S1foot能够更好地解码刺激的脚。除了S1和S2,在枕后颞叶的视觉皮层区域,MST和STP(MST / STP)区域还观察到了触觉反应。 MST / STP能够准确地解码手而不是刺激脚,从而支持MST / STP在眼手协调中的作用。嗡嗡声大脑Mapp2009。©2009 Wiley-Liss,Inc.

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