Reevaluating brain networks activated during mental imagery of finger movements using probabilistic Tensorial Independent Component Analysis (TICA) |
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Authors: | Chlo�� Sauvage S. Poirriez Mario Manto Patrice Jissendi Christophe Habas |
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Affiliation: | (1) Service de Neurologie et Neurorevalidation, H?pital Erasme, ULB, Brussels, Belgium;(2) Unit? d’?tude du Mouvement (UEM), FNRS, Neurologie, ULB, Erasme, Belgium;(3) Service de Neuroradiologie, H?pital Erasme, ULB, Brussels, Belgium;(4) Service de NeuroImagerie, CHNO des Quinze-Vingts, UPMC, Paris 6, France;(5) CHNO des Quinze-Vingts, service de NeuroImagerie, 28, rue de Charenton, 75012 Paris, France; |
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Abstract: | The cerebral and cerebellar networks involved in execution and mental imagery of the same sequential finger movements performed with the non-dominant hand were assessed by 3T functional magnetic resonance imaging using multivariate model-free analysis. Eight right-handed healthy volunteers successively performed execution and mental imagery tasks (sequential thumb to fingers opposition). The same data were analyzed by using (1) the linear General Model (p < 0.05 corrected), and (2) probabilistic tensorial independent component analysis (TICA). TICA confirmed that overt movement execution and motor imagery share a common network mainly including: premotor, parietal, insular, temporal, cerebellar cortices and putamen. Motor imagery specifically and bilaterally recruited frontopolar, prefrontal, cingulate, medial insula, neocerebellar cortices and precuneus. Non-dominant hand movements induced bilateral brain and cerebellar activation. In comparison with GLM, TICA identified a more widespread and bilateral network especially during motor imagery. TICA revealed that motor imagery also recruits frontopolar precuneal and occipital cortices, rostral M1/S1 corresponding to the hand somatotopic representation, thalamus and cerebellar lobule VIII. TICA also showed concomitant activation of (1) a cerebello-thalamo-cortical network during motor execution, and (2) a control executive network during imagination. TICA therefore allows precise identification of the brain networks collaborating in the same performance. TICA constitutes a valuable tool to assess and improve detection of brain networks engaged in mental imagery in comparison with GLM. |
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