Applications of teleneuropsychology to the screening and monitoring of epilepsy.

Assessment Cognition Digital neuropsychology Epilepsy Mobile cognitive testing Remote neurocognitive testing Technology Telehealth Teleneuropsychology Web-based cognitive testing

Journal

Seizure
ISSN: 1532-2688
Titre abrégé: Seizure
Pays: England
ID NLM: 9306979

Informations de publication

Date de publication:
23 Jun 2024
Historique:
received: 13 02 2024
revised: 20 06 2024
accepted: 21 06 2024
medline: 4 7 2024
pubmed: 4 7 2024
entrez: 3 7 2024
Statut: aheadofprint

Résumé

Epilepsy is an inherently dynamic disease and neuropsychology plays a key role in the formulation, monitoring and management of the condition. Teleneuropsychology provides an opportunity for neuropsychology to increase its accessibility, reach and efficiency, using focussed assessments to target epilepsy relevant domains at critical timepoints in the disease trajectory. Neuropsychologists working with epilepsy have, however, been comparatively slow to adopt telehealth methods. Here we review recent developments in teleneuropsychology, with particular reference to applications and considerations in Late Onset Epilepsy. Three different approaches to remote assessment of cognition are discussed: unsupervised, computer-administered assessments; telephone-based assessments; and videoconference-based assessments. Uptake of unsupervised, computer-administered (browser or app-based) assessments has been strongest in aging research, where there is now evidence of feasibility, reliability, and validity, especially for measures of speed and working memory. Telephone-based assessments are well established in older aged cohorts and have recently been applied in epilepsy. Such assessments are widely accessible from a technology perspective, though reliance on a purely oral medium limits cognitive domain coverage. Videoconference based assessments have partially addressed this limitation, though continue to rely largely upon finding ways to administer legacy materials via the medium rather than intrinsically exploiting the technology. We argue that the future of neuropsychology requires development of integrated videoconference-based, computer-assisted cognitive testing, combining the benefits of computerised assessments with the advantages of human led assessments. Such an approach will be applicable across neuropsychological conditions, from childhood through to older adults.

Identifiants

pubmed: 38960770
pii: S1059-1311(24)00188-2
doi: 10.1016/j.seizure.2024.06.022
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest None of the authors has a disclosure to report in regard to the submitted review.

Auteurs

Chris Tailby (C)

Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, 3084, Australia; Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria 3010, Australia; Department of Clinical Neuropsychology, Austin Hospital, Heidelberg, Victoria, 3084, Australia. Electronic address: chris.tailby@florey.edu.au.

Jodie E Chapman (JE)

Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, 3084, Australia.

Remy Pugh (R)

Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, 3084, Australia; School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia.

Annette Holth Skogan (A)

The National Centre for Epilepsy, Division of Clinical Neuroscience, Oslo University Hospital, P.O. Box 4950, Norway.

Christoph Helmstaedter (C)

Department of Epileptology, University Hospital Bonn (UKB), 53127 Bonn, Germany.

Graeme D Jackson (GD)

Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, 3084, Australia; Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria 3010, Australia; Department of Neurology, Austin Health, Melbourne, Victoria, 3084, Australia.

Classifications MeSH