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Computer recording of standard test of visual neglect in stroke patients

Potter, Jonathan, Deighton, Tony, Patel, Mahool, Fairhurst, Michael, Guest, Richard, Donnelly, Nick (2000) Computer recording of standard test of visual neglect in stroke patients. Clincial Rehabilitation, 14 (4). pp. 441-446. ISSN 0269-2155. (doi:10.1191/0269215500cr344oa) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1191/0269215500cr344oa

Abstract

Objective: To determine whether a computer-based method for recording standardized assessment of neglect identifies abnormalities in the ‘process’ as well as in the ‘outcome’ of such tasks.

Subjects: All consecutive patients with right-sided cerebrovascular accident confirmed on computerized tomography (CT) scan including 30 patients with neglect, 57 patients without neglect. An age-matched control group of 13 subjects.

Main outcome measures: Neglect was defined using the BIT with a cut-off score of 129. Computer recording measured the ‘outcome’ of tasks, i.e. the deviation from midline and omissions in cancellation, as well as the ‘process’ of tasks, i.e. time between cancellations, components of cancellation time including premovement, movement and drawing time, and the starting point for cancellation.

Conclusions: Computer recording of standard tests for assessing neglect identifies novel impairments with regard to the process of carrying out tasks. These impairments may be used to investigate changes in neglect with time, the response of neglect to treatment and to explore further the neuropsychological changes associated with neglect in stroke patients.

Item Type: Article
DOI/Identification number: 10.1191/0269215500cr344oa
Subjects: B Philosophy. Psychology. Religion > BF Psychology
T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Richard Guest
Date Deposited: 18 Nov 2013 13:48 UTC
Last Modified: 28 Jan 2020 04:05 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/36564 (The current URI for this page, for reference purposes)
Guest, Richard: https://orcid.org/0000-0001-7535-7336
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