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Shared neural representations of tactile roughness intensities by somatosensation and touch observation using an associative learning method

机译:使用关联学习方法通​​过体感和触摸观察获得的触觉粗糙度强度的共享神经表示

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摘要

Previous human fMRI studies have reported activation of somatosensory areas not only during actual touch, but also during touch observation. However, it has remained unclear how the brain encodes visually evoked tactile intensities. Using an associative learning method, we investigated neural representations of roughness intensities evoked by (a) tactile explorations and (b) visual observation of tactile explorations. Moreover, we explored (c) modality-independent neural representations of roughness intensities using a cross-modal classification method. Case (a) showed significant decoding performance in the anterior cingulate cortex (ACC) and the supramarginal gyrus (SMG), while in the case (b), the bilateral posterior parietal cortices, the inferior occipital gyrus, and the primary motor cortex were identified. Case (c) observed shared neural activity patterns in the bilateral insula, the SMG, and the ACC. Interestingly, the insular cortices were identified only from the cross-modal classification, suggesting their potential role in modality-independent tactile processing. We further examined correlations of confusion patterns between behavioral and neural similarity matrices for each region. Significant correlations were found solely in the SMG, reflecting a close relationship between neural activities of SMG and roughness intensity perception. The present findings may deepen our understanding of the brain mechanisms underlying intensity perception of tactile roughness.
机译:先前的人类功能磁共振成像研究报告,不仅在实际触摸过程中,而且在触摸观察过程中,都激活了体感区域。但是,目前尚不清楚大脑如何编码视觉诱发的触觉强度。使用联想学习方法,我们调查了由(a)触觉探索和(b)触觉探索的视觉观察引起的粗糙度强度的神经表示。此外,我们使用交叉模态分类方法探索了粗糙度强度的模态无关神经表示。情况(a)在前扣带回皮层(ACC)和上颌上回(SMG)中显示出显着的解码性能,而在情况(b)中,确定了双侧后顶叶皮层,枕下回和初级运动皮层。案例(c)观察到了双侧岛,SMG和ACC中共有的神经活动模式。有趣的是,仅从交叉模态分类中识别出了岛状皮质,表明它们在与形态无关的触觉加工中的潜在作用。我们进一步检查了每个区域的行为和神经相似性矩阵之间的混淆模式的相关性。仅在SMG中发现了显着的相关性,这反映了SMG的神经活动与粗糙度强度感知之间的密切关系。目前的发现可能加深我们对触觉粗糙度强度感知基础的脑机制的理解。

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