Literature DB >> 29334647

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

Giacomo Ariani1, Nikolaas N Oosterhof2, Angelika Lingnau3.   

Abstract

Different contexts require us either to react immediately, or to delay (or suppress) a planned movement. Previous studies that aimed at decoding movement plans typically dissociated movement preparation and execution by means of delayed-movement paradigms. Here we asked whether these results can be generalized to the planning and execution of immediate movements. To directly compare delayed, non-delayed, and suppressed reaching and grasping movements, we used a slow event-related functional magnetic resonance imaging (fMRI) design. To examine how neural representations evolved throughout movement planning, execution, and suppression, we performed time-resolved multivariate pattern analysis (MVPA). During the planning phase, we were able to decode upcoming reaching and grasping movements in contralateral parietal and premotor areas. During the execution phase, we were able to decode movements in a widespread bilateral network of motor, premotor, and somatosensory areas. Moreover, we obtained significant decoding across delayed and non-delayed movement plans in contralateral primary motor cortex. Our results demonstrate the feasibility of time-resolved MVPA and provide new insights into the dynamics of the prehension network, suggesting early neural representations of movement plans in the primary motor cortex that are shared between delayed and non-delayed contexts.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Keywords:  Delayed-movement paradigm; Immediate movements; Movement planning; Prehension network; Time-resolved fMRI-MVPA

Mesh:

Year:  2017        PMID: 29334647     DOI: 10.1016/j.cortex.2017.12.007

Source DB:  PubMed          Journal:  Cortex        ISSN: 0010-9452            Impact factor:   4.027


  7 in total

1.  Selective Modulation of Early Visual Cortical Activity by Movement Intention.

Authors:  Jason P Gallivan; Craig S Chapman; Daniel J Gale; J Randall Flanagan; Jody C Culham
Journal:  Cereb Cortex       Date:  2019-12-17       Impact factor: 5.357

2.  Unraveling the spatiotemporal brain dynamics during a simulated reach-to-eat task.

Authors:  Ching-Fu Chen; Kenneth Kreutz-Delgado; Martin I Sereno; Ruey-Song Huang
Journal:  Neuroimage       Date:  2018-10-10       Impact factor: 6.556

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

Authors:  Lin Lawrence Guo; Yazan Shamli Oghli; Adam Frost; Matthias Niemeier
Journal:  J Neurosci       Date:  2021-09-22       Impact factor: 6.167

4.  Multivariate Analysis of Electrophysiological Signals Reveals the Temporal Properties of Visuomotor Computations for Precision Grips.

Authors:  Lin Lawrence Guo; Adrian Nestor; Dan Nemrodov; Adam Frost; Matthias Niemeier
Journal:  J Neurosci       Date:  2019-10-18       Impact factor: 6.167

5.  Human somatosensory cortex is modulated during motor planning.

Authors:  Daniel J Gale; J Randall Flanagan; Jason P Gallivan
Journal:  J Neurosci       Date:  2021-05-24       Impact factor: 6.167

6.  Motor planning brings human primary somatosensory cortex into action-specific preparatory states.

Authors:  Giacomo Ariani; J Andrew Pruszynski; Jörn Diedrichsen
Journal:  Elife       Date:  2022-01-12       Impact factor: 8.140

7.  Hand-Selective Visual Regions Represent How to Grasp 3D Tools: Brain Decoding during Real Actions.

Authors:  Ethan Knights; Courtney Mansfield; Diana Tonin; Janak Saada; Fraser W Smith; Stéphanie Rossit
Journal:  J Neurosci       Date:  2021-05-10       Impact factor: 6.167

  7 in total

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