2022
DOI: 10.3389/fnins.2022.912626
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Computer-based assessment of unilateral spatial neglect: A systematic review

Abstract: BackgroundTo date, no gold standard exists for the assessment of unilateral spatial neglect (USN), a common post-stroke cognitive impairment, with limited sensitivity provided by currently used clinical assessments. Extensive research has shown that computer-based (CB) assessment can be more sensitive, but these have not been adopted by stroke services yet.ObjectiveWe conducted a systematic review providing an overview of existing CB tests for USN to identify knowledge gaps and positive/negative aspects of dif… Show more

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Cited by 3 publications
(4 citation statements)
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“…However, no consensus exist on their efficiency to diagnose USN given the challenges in detecting and identifying underlying types of motor and visual neglect ( Williams et al, 2021 ). Numerous developments have explored the use of computerized assessment tasks (notably involving virtual reality) ( Ogourtsova et al, 2018 ) to address the limitations of existing methods ( Giannakou et al, 2022 ), such as their lack of ecological validity and inability to detect compensatory strategies ( Azouvi, 2017 ; Williams et al, 2021 ). In particular, standard pen-and-paper tests batteries have been translated to VR with comparable or improved performance, and new USN management platforms have emerged ( Fordell et al, 2016 ; Knobel et al, 2020 ).…”
Section: Unilateral Spatial Neglect: General Scopementioning
confidence: 99%
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“…However, no consensus exist on their efficiency to diagnose USN given the challenges in detecting and identifying underlying types of motor and visual neglect ( Williams et al, 2021 ). Numerous developments have explored the use of computerized assessment tasks (notably involving virtual reality) ( Ogourtsova et al, 2018 ) to address the limitations of existing methods ( Giannakou et al, 2022 ), such as their lack of ecological validity and inability to detect compensatory strategies ( Azouvi, 2017 ; Williams et al, 2021 ). In particular, standard pen-and-paper tests batteries have been translated to VR with comparable or improved performance, and new USN management platforms have emerged ( Fordell et al, 2016 ; Knobel et al, 2020 ).…”
Section: Unilateral Spatial Neglect: General Scopementioning
confidence: 99%
“…While recent enthusiasm surrounds computer-based USN therapy with promising results ( Cavedoni et al, 2022 ; Giannakou et al, 2022 ), further research into BCI technology potential in this field is still needed. Recent reviews ( Durfee and Hillis, 2023 ; Singh and Leff, 2023 ) examining modern technologies and current methods for USN management mention the increasing interest in neurotechnologies, such as augmented and virtual reality, but do not delve into BCI-based interventions.…”
Section: Bcis Potential For Stroke and Cognitive Rehabilitationmentioning
confidence: 99%
“…Many researchers point to the need to test and validate innovative virtual reality environments and tasks for use in basic and clinical neuroscience [75,95], and thus to formulate recommendations for the design and implementation of VR in clinical screening, diagnosis and therapeutic rehabilitation [96][97][98][99][100]. It should be noted that virtual reality-based assessment can be a good alternative to classical or computer-based neuropsychological assessment due to its greater ecological validity [67,76,101,102]. The basis of physiotherapy is systematic physical exercises adapted to both the severity of the disease and the patient's effort tolerance.…”
Section: Basic Features Importance and Possibilities Of Virtual Exerc...mentioning
confidence: 99%
“…The use of computer-based methods has been suggested to enhance diagnostic accuracy ( Bonato, 2012 ; Bonato et al, 2012 ) because they can improve sensitivity and psychometric properties of USN assessment ( Giannakou et al, 2022 ). Computer-based assessment with large field of view and especially with a dual task have been reported to uncover contralesional visual attention deficits more precisely than traditional USN tests ( Villarreal et al, 2020 ).…”
Section: Introductionmentioning
confidence: 99%