Motor imagery ability scores are related to cortical activation during gait imagery.

Journal: Scientific reports

Volume: 14

Issue: 1

Year of Publication: 2024

Affiliated Institutions:  Department of Experimental Medicine (DIMES), Section of Human Physiology, University of Genoa, Genoa, Italy. Movement Control and Neuroplasticity Research Group, KU Leuven, , Leuven, Belgium. Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal, and Child Health, University of Genoa, , Genoa, Italy. IRCCS Ospedale Policlinico San Martino, Genoa, Italy. Department of Biomedical Engineering, The Catholic University of America, Washington, DC, USA. vato@cua.edu.

Abstract summary 

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 in nineteen healthy adults while visually imagining walking on a straight path. We extracted Event-Related Desynchronizations (ERDs) in the θ, α, and 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). Positive correlations were identified between VMIQ and avgERD of the middle cingulum in the β band and with avgERD of the left insula, right precentral area, and right middle occipital region in the θ band. 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.

Authors & Co-authors:  Putzolu Samogin Bonassi Cosentino Mezzarobba Botta Avanzino Mantini Vato Pelosin

Study Outcome 

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Statistics
Citations :  Decety J. The neurophysiological basis of motor imagery. Behav. Brain Res. 1996;77:45–52. doi: 10.1016/0166-4328(95)00225-1.
Authors :  10
Identifiers
Doi : 5207
SSN : 2045-2322
Study Population
Male,Female
Mesh Terms
Adult
Other Terms
Electroencephalography (EEG);Event-related desynchronization (ERD);Gait;Motor imagery;Motor imagery ability
Study Design
Study Approach
Country of Study
Publication Country
England