Brain network involved in visual processing of movement stimuli used in upper limb robotic training: An fMRI study

Federico Nocchi, Simone Gazzellini, Carmela Grisolia, Maurizio Petrarca, Vittorio Cannat, Paolo Cappa, Tommaso Dalessio, Enrico Castelli

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Background: The potential of robot-mediated therapy and virtual reality in neurorehabilitation is becoming of increasing importance. However, there is limited information, using neuroimaging, on the neural networks involved in training with these technologies. This study was intended to detect the brain network involved in the visual processing of movement during robotic training. The main aim was to investigate the existence of a common cerebral network able to assimilate biological (human upper limb) and non-biological (abstract object) movements, hence testing the suitability of the visual non-biological feedback provided by the InMotion2 Robot. Methods: A visual functional Magnetic Resonance Imaging (fMRI) task was administered to 22 healthy subjects. The task required observation and retrieval of motor gestures and of the visual feedback used in robotic training. Functional activations of both biological and non-biological movements were examined to identify areas activated in both conditions, along with differential activity in upper limb vs. abstract object trials. Control of response was also tested by administering trials with congruent and incongruent reaching movements. Results: The observation of upper limb and abstract object movements elicited similar patterns of activations according to a caudo-rostral pathway for the visual processing of movements (including specific areas of the occipital, temporal, parietal, and frontal lobes). Similarly, overlapping activations were found for the subsequent retrieval of the observed movement. Furthermore, activations of frontal cortical areas were associated with congruent trials more than with the incongruent ones. Conclusions: This study identified the neural pathway associated with visual processing of movement stimuli used in upper limb robot-mediated training and investigated the brains ability to assimilate abstract object movements with human motor gestures. In both conditions, activations were elicited in cerebral areas involved in visual perception, sensory integration, recognition of movement, re-mapping on the somatosensory and motor cortex, storage in memory, and response control. Results from the congruent vs. incongruent trials revealed greater activity for the former condition than the latter in a network including cingulate cortex, right inferior and middle frontal gyrus that are involved in the go-signal and in decision control. Results on healthy subjects would suggest the appropriateness of an abstract visual feedback provided during motor training. The task contributes to highlight the potential of fMRI in improving the understanding of visual motor processes and may also be useful in detecting brain reorganisation during training.

Original languageEnglish
Article number49
JournalJournal of NeuroEngineering and Rehabilitation
Volume9
Issue number1
DOIs
Publication statusPublished - 2012

Fingerprint

Robotics
Upper Extremity
Magnetic Resonance Imaging
Sensory Feedback
Gestures
Brain
Virtual Reality Exposure Therapy
Healthy Volunteers
Observation
Neural Pathways
Occipital Lobe
Parietal Lobe
Visual Perception
Aptitude
Somatosensory Cortex
Visual Pathways
Gyrus Cinguli
Motor Cortex
Frontal Lobe
Temporal Lobe

Keywords

  • fMRI
  • Motor processing
  • Neurorehabilitation
  • Robot-mediated therapy
  • Upper limb rehabilitation

ASJC Scopus subject areas

  • Rehabilitation
  • Health Informatics

Cite this

Brain network involved in visual processing of movement stimuli used in upper limb robotic training : An fMRI study. / Nocchi, Federico; Gazzellini, Simone; Grisolia, Carmela; Petrarca, Maurizio; Cannat, Vittorio; Cappa, Paolo; Dalessio, Tommaso; Castelli, Enrico.

In: Journal of NeuroEngineering and Rehabilitation, Vol. 9, No. 1, 49, 2012.

Research output: Contribution to journalArticle

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AU - Dalessio, Tommaso

AU - Castelli, Enrico

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