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Neurofunctional correlates of eye to hand motor transfer

Cristián Modroño, Rosario Socas, Estefanía Hernández‐Martín, Julio Plata‐Bello, Francisco Marcano, José M. Pérez‐González, José Luis González–Mora

2020Human Brain Mapping10 citationsDOIOpen Access PDF

Abstract

This work investigates the transfer of motor learning from the eye to the hand and its neural correlates by using functional magnetic resonance imaging (fMRI) and a sensorimotor task consisting of the continuous tracking of a virtual target. In pretraining evaluation, all the participants (experimental and control group) performed the tracking task inside an MRI scanner using their right hand and a joystick. After which, the experimental group practiced an eye-controlled version of the task for 5 days using an eye tracking system outside the MRI environment. Post-training evaluation was done 1 week after the first scanning session, where all the participants were scanned again while repeating the manual pretraining task. Behavioral results show that the training in the eye-controlled task produced a better performance not only in the eye-controlled modality (motor learning) but also in the hand-controlled modality (motor transfer). Neural results indicate that eye to hand motor transfer is supported by the motor cortex, the basal ganglia and the cerebellum, which is consistent with previous research focused on other effectors. These results may be of interest in neurorehabilitation to activate the motor systems and help in the recovery of motor functions in stroke or movement disorder patients.

Topics & Concepts

PsychologyModality (human–computer interaction)Functional magnetic resonance imagingMotor learningNeurorehabilitationTask (project management)Premotor cortexEye–hand coordinationBasal gangliaEye movementMotor systemMotor controlPhysical medicine and rehabilitationNeuroscienceComputer scienceArtificial intelligenceRehabilitationMedicineAnatomyEconomicsDorsumManagementCentral nervous systemMotor Control and AdaptationMuscle activation and electromyography studiesEEG and Brain-Computer Interfaces