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Neural Correlates of Executed Compared to Imagined Writing and Drawing Movements: A Functional Magnetic Resonance Imaging Study.

Authors :
Baumann A
Tödt I
Knutzen A
Gless CA
Granert O
Wolff S
Marquardt C
Becktepe JS
Peters S
Witt K
Zeuner KE
Source :
Frontiers in human neuroscience [Front Hum Neurosci] 2022 Mar 18; Vol. 16, pp. 829576. Date of Electronic Publication: 2022 Mar 18 (Print Publication: 2022).
Publication Year :
2022

Abstract

Objective: In this study we used functional magnetic resonance imaging (fMRI) to investigate whether motor imagery (MI) of handwriting and circle drawing activates a similar handwriting network as writing and drawing itself.<br />Methods: Eighteen healthy right-handed participants wrote the German word " Wellen" and drew continuously circles in a sitting (vertical position) and lying position (horizontal position) to capture kinematic handwriting parameters such as velocity, pressure and regularity of hand movements. Afterward, they performed the same tasks during fMRI in a MI and an executed condition.<br />Results: The kinematic analysis revealed a general correlation of handwriting parameters during sitting and lying except of pen pressure during drawing. Writing compared to imagined writing was accompanied by an increased activity of the ipsilateral cerebellum and the contralateral sensorimotor cortex. Executed compared to imagined drawing revealed elevated activity of a fronto-parieto-temporal network. By contrasting writing and drawing directly, executed writing induced an enhanced activation of the left somatosensory and premotor area. The comparison of the MI of these tasks revealed a higher involvement of occipital activation during imagined writing.<br />Conclusion: The kinematic results pointed to a high comparability of writing in a vertical and horizontal position. Overall, we observed highly overlapping cortical activity except of a higher involvement of motor control areas during motor execution. The sparse difference between writing and drawing can be explained by highly automatized writing in healthy individuals.<br />Competing Interests: AB received an intramural research grant from the Department of Neurology, Kiel. CM is the owner and author of the SCWin analysis software. KW served as a consultant for BIAL outside the present work. KZ has received research support from Strathmann and the German Research Council. She reports speaker’s honoraria from Bayer Vital GmbH, BIAL, AbbVie Allergan, and Merz outside the submitted work. She has served as a consultant and received fees from Merz, Ipsen, Alexion, and the German Federal Institute for Drugs and Medical Devices (BfArM). The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (Copyright © 2022 Baumann, Tödt, Knutzen, Gless, Granert, Wolff, Marquardt, Becktepe, Peters, Witt and Zeuner.)

Details

Language :
English
ISSN :
1662-5161
Volume :
16
Database :
MEDLINE
Journal :
Frontiers in human neuroscience
Publication Type :
Academic Journal
Accession number :
35370576
Full Text :
https://doi.org/10.3389/fnhum.2022.829576