02371nas a2200361   4500008004100000022001400041245008900055210006900144260001600213300000900229490000700238520131500245653001001560653001201570653001001582653001801592653002701610653000901637653001501646653001101661653001201672100002101684700002101705700001801726700002201744700002401766700002201790700002001812700001901832700002101851700001901872856011801891       2024                        eng d  a2045-232200aMotor imagery ability scores are related to cortical activation during gait imagery.0 aMotor imagery ability scores are related to cortical activation   c2024 Mar 03  a52070 v143 a<p>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.</p>10aAdult10aAnimals10aBrain10aCell Membrane10aElectroencephalography10aGait10aGastropoda10aHumans10aWalking1 aPutzolu, Martina1 aSamogin, Jessica1 aBonassi, Gaia1 aCosentino, Carola1 aMezzarobba, Susanna1 aBotta, Alessandro1 aAvanzino, Laura1 aMantini, Dante1 aVato, Alessandro1 aPelosin, Elisa  uhttps://neurotechcenter.org/publications/2024/motor-imagery-ability-scores-are-related-cortical-activation-during02363nas a2200337   4500008004100000022001400041245007800055210006900133260001200202300000900214490000700223520135600230653001001586653002701596653000901623653001101632653002701643653001601670653001201686100002101698700002101719700002201740700002401762700001801786700002601804700002101830700001901851700002001870700001901890856011601909       2022                        eng d  a2045-232200aNeural oscillations during motor imagery of complex gait: an HdEEG study.0 aNeural oscillations during motor imagery of complex gait an HdEE  c03/2022  a43140 v123 a<p>The aim of this study was to investigate differences between usual and complex gait motor imagery (MI) task in healthy subjects using high-density electroencephalography (hdEEG) with a MI protocol. We characterized the spatial distribution of α- and β-bands oscillations extracted from hdEEG signals recorded during MI of usual walking (UW) and walking by avoiding an obstacle (Dual-Task, DT). We applied a source localization algorithm to brain regions selected from a large cortical-subcortical network, and then we analyzed α and β bands Event-Related Desynchronizations (ERDs). Nineteen healthy subjects visually imagined walking on a path with (DT) and without (UW) obstacles. Results showed in both gait MI tasks, α- and β-band ERDs in a large cortical-subcortical network encompassing mostly frontal and parietal regions. In most of the regions, we found α- and β-band ERDs in the DT compared with the UW condition. Finally, in the β band, significant correlations emerged between ERDs and scores in imagery ability tests. Overall we detected MI gait-related α- and β-band oscillations in cortical and subcortical areas and significant differences between UW and DT MI conditions. A better understanding of gait neural correlates may lead to a better knowledge of pathophysiology of gait disturbances in neurological diseases.</p>10aBrain10aElectroencephalography10aGait10aHumans10aImagery, Psychotherapy10aImagination10aWalking1 aPutzolu, Martina1 aSamogin, Jessica1 aCosentino, Carola1 aMezzarobba, Susanna1 aBonassi, Gaia1 aLagravinese, Giovanna1 aVato, Alessandro1 aMantini, Dante1 aAvanzino, Laura1 aPelosin, Elisa  uhttps://neurotechcenter.org/publications/2022/neural-oscillations-during-motor-imagery-complex-gait-hdeeg-study