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Crossmodal illusions in neurorehabilitation

Overview of attention for article published in Frontiers in Behavioral Neuroscience, August 2015
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Title
Crossmodal illusions in neurorehabilitation
Published in
Frontiers in Behavioral Neuroscience, August 2015
DOI 10.3389/fnbeh.2015.00212
Pubmed ID
Authors

Nadia Bolognini, Cristina Russo, Giuseppe Vallar

Abstract

In everyday life, many diverse bits of information, simultaneously derived from the different sensory channels, converge into discrete brain areas, and are ultimately synthetized into unified percepts. Such multisensory integration can dramatically alter the phenomenal experience of both environmental events and our own body. Crossmodal illusions are one intriguing product of multisensory integration. This review describes and discusses the main clinical applications of the most known crossmodal illusions in rehabilitation settings. We consider evidence highlighting the contribution of crossmodal illusions to restore, at least in part, defective mechanisms underlying a number of disorders of body representation related to pain, sensory, and motor impairments in neuropsychological and neurological diseases, and their use for improving neuroprosthetics. This line of research is enriching our understanding of the relationships between multisensory functions and the pathophysiological mechanisms at the basis of a number of brain disorders. The review illustrates the potential of crossmodal illusions for restoring disarranged spatial and body representations, and, in turn, different pathological symptoms.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Italy 1 <1%
Unknown 136 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 17%
Student > Ph. D. Student 23 17%
Researcher 20 14%
Student > Bachelor 20 14%
Student > Postgraduate 8 6%
Other 21 15%
Unknown 22 16%
Readers by discipline Count As %
Neuroscience 24 17%
Nursing and Health Professions 22 16%
Medicine and Dentistry 18 13%
Psychology 18 13%
Agricultural and Biological Sciences 7 5%
Other 21 15%
Unknown 28 20%