Literature DB >> 30920706

Neural mechanisms of vibrotactile categorization.

Patrick S Malone1, Silvio P Eberhardt2, Klaus Wimmer3,4,5, Courtney Sprouse1, Richard Klein1, Katharina Glomb3,6, Clara A Scholl1, Levan Bokeria1, Philip Cho1, Gustavo Deco3,7,8,9, Xiong Jiang1, Lynne E Bernstein2, Maximilian Riesenhuber1.   

Abstract

The grouping of sensory stimuli into categories is fundamental to cognition. Previous research in the visual and auditory systems supports a two-stage processing hierarchy that underlies perceptual categorization: (a) a "bottom-up" perceptual stage in sensory cortices where neurons show selectivity for stimulus features and (b) a "top-down" second stage in higher level cortical areas that categorizes the stimulus-selective input from the first stage. In order to test the hypothesis that the two-stage model applies to the somatosensory system, 14 human participants were trained to categorize vibrotactile stimuli presented to their right forearm. Then, during an fMRI scan, participants actively categorized the stimuli. Representational similarity analysis revealed stimulus selectivity in areas including the left precentral and postcentral gyri, the supramarginal gyrus, and the posterior middle temporal gyrus. Crucially, we identified a single category-selective region in the left ventral precentral gyrus. Furthermore, an estimation of directed functional connectivity delivered evidence for robust top-down connectivity from the second to first stage. These results support the validity of the two-stage model of perceptual categorization for the somatosensory system, suggesting common computational principles and a unified theory of perceptual categorization across the visual, auditory, and somatosensory systems.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  cognition; frontal lobe; humans; magnetic resonance imaging; somatosensory cortex

Mesh:

Year:  2019        PMID: 30920706      PMCID: PMC6865665          DOI: 10.1002/hbm.24581

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


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5.  Dynamic causal modelling.

Authors:  K J Friston; L Harrison; W Penny
Journal:  Neuroimage       Date:  2003-08       Impact factor: 6.556

6.  Neural mechanisms of vibrotactile categorization.

Authors:  Patrick S Malone; Silvio P Eberhardt; Klaus Wimmer; Courtney Sprouse; Richard Klein; Katharina Glomb; Clara A Scholl; Levan Bokeria; Philip Cho; Gustavo Deco; Xiong Jiang; Lynne E Bernstein; Maximilian Riesenhuber
Journal:  Hum Brain Mapp       Date:  2019-03-28       Impact factor: 5.038

7.  Frontal networks for learning and executing arbitrary stimulus-response associations.

Authors:  Charlotte A Boettiger; Mark D'Esposito
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  3 in total

1.  Neural mechanisms of vibrotactile categorization.

Authors:  Patrick S Malone; Silvio P Eberhardt; Klaus Wimmer; Courtney Sprouse; Richard Klein; Katharina Glomb; Clara A Scholl; Levan Bokeria; Philip Cho; Gustavo Deco; Xiong Jiang; Lynne E Bernstein; Maximilian Riesenhuber
Journal:  Hum Brain Mapp       Date:  2019-03-28       Impact factor: 5.038

2.  A Simple and Compact MR-Compatible Electromagnetic Vibrotactile Stimulator.

Authors:  Xinjian Jiang; Yueqian Wang; Xiaojin Li; Liping Wang; Yong-Di Zhou; Huimin Wang
Journal:  Front Neurosci       Date:  2020-01-17       Impact factor: 4.677

Review 3.  From descriptive connectome to mechanistic connectome: Generative modeling in functional magnetic resonance imaging analysis.

Authors:  Guoshi Li; Pew-Thian Yap
Journal:  Front Hum Neurosci       Date:  2022-08-17       Impact factor: 3.473

  3 in total

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