Correlation of neural activity with behavioral kinematics reveals distinct sensory encoding and evidence accumulation processes during active tactile sensing.

Correlation of neural activity with behavioral kinematics reveals distinct sensory encoding and evidence accumulation processes during active tactile sensing.
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DOI:
10.1016/j.neuroimage.2018.03.035
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发表时间:
2018-07-15
期刊:
影响因子:
5.7
通讯作者:
Wang Q
Wang Q
中科院分区:
医学1区
文献类型:
--
作者:
Delis I;Dmochowski JP;Sajda P;Wang Q

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许多现实世界的决策依赖于主动感知,这是一个动态过程,用于指导我们的传感器(例如眼睛或手指)通过刺激来最大化信息增益。虽然生态普遍存在,但有限的工作集中在识别主动感知过程的神经相关方面。在触觉感知中,我们经常通过积极探索物体的形状/纹理来对物体/表面做出决定。本研究通过同时测量被试在询问触觉表面时的脑电图(EEG)和手指运动来研究主动触觉决策的神经关联。由于感觉运动行为是主动感知任务决策形成的基础,我们假设通过将主动感知与神经活动联系起来,可以检测到决策相关过程的神经关联。新的脑行为相关分析表明,三个不同的脑电成分,分别定位于右半侧枕皮质(LOC)、额叶中回(MFG)和辅助运动区(SMA),与主动感知相耦合,它们的活动与手指运动学显著相关。为了探究这些成分的功能作用,我们使用层次-漂移-扩散模型(HDDM)将它们的单次试验耦合拟合到决策绩效中,揭示了LOC调节触觉刺激的编码,而MFG预测了选择的信息整合率。有趣的是,从执行主动感知但不需要做出感知决策的对照组中发现的组件中,MFG消失了。通过揭示不同刺激编码和证据积累过程的神经关联,本研究首次揭示了皮层区域在主动触觉决策中的功能作用。
Many real-world decisions rely on active sensing, a dynamic process for directing our sensors (e.g. eyes or fingers) across a stimulus to maximize information gain. Though ecologically pervasive, limited work has focused on identifying neural correlates of the active sensing process. In tactile perception, we often make decisions about an object/surface by actively exploring its shape/texture. Here we investigate the neural correlates of active tactile decision-making by simultaneously measuring electroencephalography (EEG) and finger kinematics while subjects interrogated a haptic surface to make perceptual judgments. Since sensorimotor behavior underlies decision formation in active sensing tasks, we hypothesized that the neural correlates of decision-related processes would be detectable by relating active sensing to neural activity. Novel brain-behavior correlation analysis revealed that three distinct EEG components, localizing to right-lateralized occipital cortex (LOC), middle frontal gyrus (MFG), and supplementary motor area (SMA), respectively, were coupled with active sensing as their activity significantly correlated with finger kinematics. To probe the functional role of these components, we fit their single-trial-couplings to decision-making performance using a hierarchical-drift-diffusion-model (HDDM), revealing that the LOC modulated the encoding of the tactile stimulus whereas the MFG predicted the rate of information integration towards a choice. Interestingly, the MFG disappeared from components uncovered from control subjects performing active sensing but not required to make perceptual decisions. By uncovering the neural correlates of distinct stimulus encoding and evidence accumulation processes, this study delineated, for the first time, the functional role of cortical areas in active tactile decision-making.
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