Affiliation:
1. University of Genoa
2. KU Leuven
3. IRCCS Ospedale Policlinico San Martino
4. Stratton VA Medical Center
Abstract
Abstract
Motor imagery (MI) is the mental execution of actions without overt movements that depends on the ability to imagine. We explored whether this ability could be related to the cortical activity of the brain areas involved in the MI network. To this goal, brain activity was recorded using high-density electroencephalography (hdEEG) in nineteen healthy adults while visually imagining walking on a straight path. We extracted Event-Related Desynchronizations (ERDs) in the β band, and we measured MI ability via (i) the Kinesthetic and Visual Imagery Questionnaire (KVIQ), (ii) the Vividness of Movement Imagery Questionnaire-2 (VMIQ), and (iii) the Imagery Ability (IA) score. We then used Pearson's and Spearman's coefficients to correlate MI ability scores and average ERD power (avgERD). VMIQ was positively correlated with avgERD of frontal and cingulate areas, whereas IA SCORE was positively correlated with avgERD of left inferior frontal and superior temporal regions. Stronger activation of the MI network was related to better scores of MI ability evaluations, supporting the importance of testing MI ability during MI protocols. This result will help to understand MI mechanisms and develop personalized MI treatments for patients with neurological dysfunctions.
Publisher
Research Square Platform LLC
Reference59 articles.
1. The neurophysiological basis of motor imagery;Decety J;Behav Brain Res,1996
2. Using motor imagery practice for improving motor performance – A review;Ladda AM;Brain Cognition,2021
3. Efficacy of motor imagery in post-stroke rehabilitation: a systematic review;Zimmermann-Schlatter A;J Neuroeng Rehabil,2008
4. Progress in Brain Computer Interface: Challenges and Opportunities;Saha S;Frontiers Syst Neurosci,2021
5. Marusic, U. et al. Motor Imagery during Action Observation of Locomotor Tasks Improves Rehabilitation Outcome in Older Adults after Total Hip Arthroplasty. Neural Plast 2018, 5651391 (2018).
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