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Are Motor Imagery Ability scores related to cortical activity during gait imagery?
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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Journal Experts
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120778/ https://www.ncbi.nlm.nih.gov/pubmed/37090654 http://dx.doi.org/10.21203/rs.3.rs-2777321/v1 |
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author | Putzolu, Martina Samogin, Jessica Bonassi, Gaia Cosentino, Carola Mezzarobba, Susanna Botta, Alessandro Avanzino, Laura Mantini, Dante Vato, Alessandro Pelosin, Elisa |
author_facet | Putzolu, Martina Samogin, Jessica Bonassi, Gaia Cosentino, Carola Mezzarobba, Susanna Botta, Alessandro Avanzino, Laura Mantini, Dante Vato, Alessandro Pelosin, Elisa |
author_sort | Putzolu, Martina |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10120778 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Journal Experts |
record_format | MEDLINE/PubMed |
spelling | pubmed-101207782023-04-22 Are Motor Imagery Ability scores related to cortical activity during gait imagery? Putzolu, Martina Samogin, Jessica Bonassi, Gaia Cosentino, Carola Mezzarobba, Susanna Botta, Alessandro Avanzino, Laura Mantini, Dante Vato, Alessandro Pelosin, Elisa Res Sq Article 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. American Journal Experts 2023-04-12 /pmc/articles/PMC10120778/ /pubmed/37090654 http://dx.doi.org/10.21203/rs.3.rs-2777321/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. https://creativecommons.org/licenses/by/4.0/License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License (https://creativecommons.org/licenses/by/4.0/) |
spellingShingle | Article Putzolu, Martina Samogin, Jessica Bonassi, Gaia Cosentino, Carola Mezzarobba, Susanna Botta, Alessandro Avanzino, Laura Mantini, Dante Vato, Alessandro Pelosin, Elisa Are Motor Imagery Ability scores related to cortical activity during gait imagery? |
title | Are Motor Imagery Ability scores related to cortical activity during gait imagery? |
title_full | Are Motor Imagery Ability scores related to cortical activity during gait imagery? |
title_fullStr | Are Motor Imagery Ability scores related to cortical activity during gait imagery? |
title_full_unstemmed | Are Motor Imagery Ability scores related to cortical activity during gait imagery? |
title_short | Are Motor Imagery Ability scores related to cortical activity during gait imagery? |
title_sort | are motor imagery ability scores related to cortical activity during gait imagery? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120778/ https://www.ncbi.nlm.nih.gov/pubmed/37090654 http://dx.doi.org/10.21203/rs.3.rs-2777321/v1 |
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