Literature DB >> 25770989

MEG-compatible pneumatic stimulator to elicit passive finger and toe movements.

Harri Piitulainen1, Mathieu Bourguignon2, Riitta Hari2, Veikko Jousmäki2.   

Abstract

Magnetoencephalographic (MEG) signals recorded from the primary sensorimotor (SM1) cortex are coherent with kinematics of both active and passive finger movements. The coherence mainly reflects movement-related proprioceptive afference to the cortex. Here we describe a novel MEG-compatible stimulator to generate computer-controlled passive finger and toe movements that can be used as stimuli in functional brain-imaging experiments. The movements are produced by pneumatic artificial muscle (PAM), elastic actuator that shortens with increasing air pressure. To test the applicability of the stimulator to functional brain-imaging, 4-min trains of passive repetitive 5-mm flexion-extension movements of the right and left index finger and the right hallux were produced at 3Hz while the subject's brain activity was measured with whole-scalp MEG and finger or toe kinematics with an accelerometer. In all ten subjects studied, statistically significant coherence (up to 0.78) occurred between the accelerometer and MEG signals at the movement frequency or its first harmonic. Sources of coherent activity were in the contralateral hand or foot SM1 cortices. Movement-evoked fields elicited with intermittent movements of the right index finger (once every 3.2-4.0s; mean±SD peak response latency 88±25ms) were co-located with the respective coherent sources. We further moved the right index finger at 3, 6, and 12Hz (movement ranges 5, 3, and 2mm, respectively), and analyzed the first 1, 2, and 4-min epochs of data. One minute of data was sufficient to locate the left hand area of the SM1 cortex at all movement frequencies. Sound-induced spurious coherence was reliably ruled out in a control experiment. Our novel movement stimulator thus provides a robust and reliable tool to track proprioceptive afference to the cortex and to locate the SM1 cortex.
Copyright © 2015 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Accelerometer; Corticokinematic coherence; Kinematics; Magnetoencephalography; Motor mapping; Pneumatic muscle; Sensorimotor cortex

Mesh:

Year:  2015        PMID: 25770989     DOI: 10.1016/j.neuroimage.2015.03.006

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  13 in total

1.  Neuromagnetic Cerebellar Activity Entrains to the Kinematics of Executed Finger Movements.

Authors:  Brice Marty; V Wens; M Bourguignon; G Naeije; S Goldman; V Jousmäki; X De Tiège
Journal:  Cerebellum       Date:  2018-10       Impact factor: 3.847

Review 2.  IFCN-endorsed practical guidelines for clinical magnetoencephalography (MEG).

Authors:  Riitta Hari; Sylvain Baillet; Gareth Barnes; Richard Burgess; Nina Forss; Joachim Gross; Matti Hämäläinen; Ole Jensen; Ryusuke Kakigi; François Mauguière; Nobukatzu Nakasato; Aina Puce; Gian-Luca Romani; Alfons Schnitzler; Samu Taulu
Journal:  Clin Neurophysiol       Date:  2018-04-17       Impact factor: 3.708

3.  Comparing Features for Classification of MEG Responses to Motor Imagery.

Authors:  Hanna-Leena Halme; Lauri Parkkonen
Journal:  PLoS One       Date:  2016-12-16       Impact factor: 3.240

4.  Repetitive Passive Finger Movement Modulates Primary Somatosensory Cortex Excitability.

Authors:  Ryoki Sasaki; Shota Tsuiki; Shota Miyaguchi; Sho Kojima; Kei Saito; Yasuto Inukai; Naofumi Otsuru; Hideaki Onishi
Journal:  Front Hum Neurosci       Date:  2018-08-20       Impact factor: 3.169

5.  Attenuated beta rebound to proprioceptive afferent feedback in Parkinson's disease.

Authors:  Mikkel C Vinding; Panagiota Tsitsi; Harri Piitulainen; Josefine Waldthaler; Veikko Jousmäki; Martin Ingvar; Per Svenningsson; Daniel Lundqvist
Journal:  Sci Rep       Date:  2019-02-22       Impact factor: 4.379

6.  Exercise intervention protocol in children and young adults with cerebral palsy: the effects of strength, flexibility and gait training on physical performance, neuromuscular mechanisms and cardiometabolic risk factors (EXECP).

Authors:  Pedro Valadão; Harri Piitulainen; Eero A Haapala; Tiina Parviainen; Janne Avela; Taija Finni
Journal:  BMC Sports Sci Med Rehabil       Date:  2021-02-26

7.  Functional cortical localization of tongue movements using corticokinematic coherence with a deep learning-assisted motion capture system.

Authors:  Hitoshi Maezawa; Momoka Fujimoto; Yutaka Hata; Masao Matsuhashi; Hiroaki Hashimoto; Hideki Kashioka; Toshio Yanagida; Masayuki Hirata
Journal:  Sci Rep       Date:  2022-01-10       Impact factor: 4.379

Review 8.  Gratifying Gizmos for Research and Clinical MEG.

Authors:  Veikko Jousmäki
Journal:  Front Neurol       Date:  2022-01-27       Impact factor: 4.003

9.  Gating Patterns to Proprioceptive Stimulation in Various Cortical Areas: An MEG Study in Children and Adults using Spatial ICA.

Authors:  Jaakko Vallinoja; Julia Jaatela; Timo Nurmi; Harri Piitulainen
Journal:  Cereb Cortex       Date:  2021-02-05       Impact factor: 5.357

10.  Cortical Proprioceptive Processing Is Altered by Aging.

Authors:  Harri Piitulainen; Santtu Seipäjärvi; Janne Avela; Tiina Parviainen; Simon Walker
Journal:  Front Aging Neurosci       Date:  2018-06-14       Impact factor: 5.750

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