Congruent movement training as a rehabilitation method to ameliorate symptoms of neglect–proof of concept

Publication date

2021-09

Authors

Elshout, Joris A.ISNI 0000000506363790
Van der Stigchel, StefanISNI 0000000396732697
Nijboer, T.C.W.ISNI 0000000390969706

Editors

Advisors

Supervisors

Document Type

Article
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License

cc_by

Abstract

Stroke patients with visuospatial neglect (VSN) have difficulties responding to visual information located in the contralesional hemifield, affecting many daily life activities (ADL) such as eating, reading and mobility. Visual Scanning Therapy (VST) is widely used in clinical practice to ameliorate symptoms of VSN. Yet, not all patients benefit from this training and many training sessions are needed in order to achieve stable results. One potentially promising improvement to the VST is based on the theory that different effectors of the motor systems (e.g., eyes, hands) independently allocate attention during the programming of the movement (i.e., Pre Motor Theory of Attention (PMT)). Here, we studied this direct implementation of the PMT and tested whether a congruent movement training (CMT: congruent -i.e., executed at the same time to the same location-eye and pointing movements) is more effective to attenuate symptoms of neglect compared to VST. This study can be seen as a proof of concept. Attenuation of neglect symptoms was found in the CMT group after just 5 h of training in the subacute phase of neglect. In contrast, no training effects were found in the VST group. These findings indicate the potential of CMT which is a minimal –yet crucial-upgrade of the standard VST protocol that can be easily implemented in the clinic.

Keywords

Attention, Congruent movements, Neglect, Treatment, Visual scanning therapy, Neuropsychology and Physiological Psychology, Experimental and Cognitive Psychology, Cognitive Neuroscience

Citation

Elshout, J A, Van der Stigchel, S & Nijboer, T C W 2021, 'Congruent movement training as a rehabilitation method to ameliorate symptoms of neglect–proof of concept', Cortex, vol. 142, pp. 84-93. https://doi.org/10.1016/j.cortex.2021.03.037