Literature DB >> 34551938

Multivariate Analysis of Electrophysiological Signals Reveals the Time Course of Precision Grasps Programs: Evidence for Nonhierarchical Evolution of Grasp Control.

Lin Lawrence Guo1, Yazan Shamli Oghli1, Adam Frost1, Matthias Niemeier2,3,4.   

Abstract

Current understanding of the neural processes underlying human grasping suggests that grasp computations involve gradients of higher to lower level representations and, relatedly, visual to motor processes. However, it is unclear whether these processes evolve in a strictly canonical manner from higher to intermediate and to lower levels given that this knowledge importantly relies on functional imaging, which lacks temporal resolution. To examine grasping in fine temporal detail here we used multivariate EEG analysis. We asked participants to grasp objects while controlling the time at which crucial elements of grasp programs were specified. We first specified the orientation with which participants should grasp objects, and only after a delay we instructed participants about which effector to use to grasp, either the right or the left hand. We also asked participants to grasp with both hands because bimanual and left-hand grasping share intermediate-level grasp representations. We observed that grasp programs evolved in a canonical manner from visual representations, which were independent of effectors to motor representations that distinguished between effectors. However, we found that intermediate representations of effectors that partially distinguished between effectors arose after representations that distinguished among all effector types. Our results show that grasp computations do not proceed in a strictly hierarchically canonical fashion, highlighting the importance of the fine temporal resolution of EEG for a comprehensive understanding of human grasp control.SIGNIFICANCE STATEMENT A long-standing assumption of the grasp computations is that grasp representations progress from higher to lower level control in a regular, or canonical, fashion. Here, we combined EEG and multivariate pattern analysis to characterize the temporal dynamics of grasp representations while participants viewed objects and were subsequently cued to execute an unimanual or bimanual grasp. Interrogation of the temporal dynamics revealed that lower level effector representations emerged before intermediate levels of grasp representations, thereby suggesting a partially noncanonical progression from higher to lower and then to intermediate level grasp control.
Copyright © 2021 the authors.

Entities:  

Keywords:  EEG; MVPA; grasp program; motor; precision grasp; visual

Mesh:

Year:  2021        PMID: 34551938      PMCID: PMC8570828          DOI: 10.1523/JNEUROSCI.0992-21.2021

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  60 in total

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Authors:  Sharon L Kilbreath; Robert C Heard
Journal:  Aust J Physiother       Date:  2005

Review 2.  Control strategies in object manipulation tasks.

Authors:  J Randall Flanagan; Miles C Bowman; Roland S Johansson
Journal:  Curr Opin Neurobiol       Date:  2006-11-03       Impact factor: 6.627

3.  Practice makes perfect, but only with the right hand: sensitivity to perceptual illusions with awkward grasps decreases with practice in the right but not the left hand.

Authors:  C L R Gonzalez; T Ganel; R L Whitwell; B Morrissey; M A Goodale
Journal:  Neuropsychologia       Date:  2007-09-18       Impact factor: 3.139

4.  ICLabel: An automated electroencephalographic independent component classifier, dataset, and website.

Authors:  Luca Pion-Tonachini; Ken Kreutz-Delgado; Scott Makeig
Journal:  Neuroimage       Date:  2019-05-16       Impact factor: 6.556

5.  Functional magnetic resonance imaging adaptation reveals the cortical networks for processing grasp-relevant object properties.

Authors:  Simona Monaco; Ying Chen; W P Medendorp; J D Crawford; Katja Fiehler; Denise Y P Henriques
Journal:  Cereb Cortex       Date:  2013-01-29       Impact factor: 5.357

6.  Time-resolved decoding of planned delayed and immediate prehension movements.

Authors:  Giacomo Ariani; Nikolaas N Oosterhof; Angelika Lingnau
Journal:  Cortex       Date:  2017-12-23       Impact factor: 4.027

7.  MEG Multivariate Analysis Reveals Early Abstract Action Representations in the Lateral Occipitotemporal Cortex.

Authors:  Raffaele Tucciarelli; Luca Turella; Nikolaas N Oosterhof; Nathan Weisz; Angelika Lingnau
Journal:  J Neurosci       Date:  2015-12-09       Impact factor: 6.167

8.  Visual field preferences of object analysis for grasping with one hand.

Authors:  Ada Le; Matthias Niemeier
Journal:  Front Hum Neurosci       Date:  2014-10-01       Impact factor: 3.169

9.  Resolving human object recognition in space and time.

Authors:  Radoslaw Martin Cichy; Dimitrios Pantazis; Aude Oliva
Journal:  Nat Neurosci       Date:  2014-01-26       Impact factor: 24.884

10.  Population coding of grasp and laterality-related information in the macaque fronto-parietal network.

Authors:  Jonathan A Michaels; Hansjörg Scherberger
Journal:  Sci Rep       Date:  2018-01-26       Impact factor: 4.379

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