Literature DB >> 30614374

Digital neuropsychology: Challenges and opportunities at the intersection of science and software.

Laura Germine1,2,3, Katharina Reinecke4, Naomi S Chaytor5.   

Abstract

OBJECTIVE: Digital devices are now broadly accessible and have the capacity to measure aspects of human behavior with high precision and accuracy, in a standardized manner. The purpose of this article is to characterize opportunities and barriers for modern digital neuropsychology, particularly those that are unique to digital assessment.
METHODS: We provide a critical overview of the state-of-the-art in digital neuropsychology, focusing on personal digital devices.
RESULTS: We identify three major barriers associated with digital neuropsychology, which affect both the interpretation of test scores and test norms: (1) variability in the perceptual, motor and cognitive demands of the same test across digital device classes (e.g. personal computer, tablet and smartphone); (2) hardware and software variability between devices within the same class that affect stimulus presentation and measurement and (3) rapid changes over time in hardware, software and device ownership, which can lead to rapid obsolescence of particular tests and test norms. We offer specific recommendations to address these barriers and outline new opportunities to understand and measure neuropsychological functioning over time and in everyday environments.
CONCLUSIONS: Digital neuropsychology provides new approaches for measuring and monitoring neuropsychological functioning, informed by an understanding of the limitations and potential of digital technology.

Entities:  

Keywords:  Mobile health; computerized assessment; digital neuropsychology; digital technology; web-based assessment

Mesh:

Year:  2019        PMID: 30614374     DOI: 10.1080/13854046.2018.1535662

Source DB:  PubMed          Journal:  Clin Neuropsychol        ISSN: 1385-4046            Impact factor:   3.535


  23 in total

1.  The TestMyBrain Digital Neuropsychology Toolkit: Development and Psychometric Characteristics.

Authors:  Shifali Singh; Roger W Strong; Laneé Jung; Frances Haofei Li; Liz Grinspoon; Luke S Scheuer; Eliza J Passell; Paolo Martini; Naomi Chaytor; Jason R Soble; Laura Germine
Journal:  J Clin Exp Neuropsychol       Date:  2021-12-15       Impact factor: 2.475

2.  Why Don't Cognitive Training Programs Transfer to Real Life?: Three Possible Explanations and Recommendations for Future Research.

Authors:  Andrew D Peckham
Journal:  Behav Ther (N Y N Y)       Date:  2021-10

3.  Validation of At-Home Application of a Digital Cognitive Screener for Older Adults.

Authors:  Melissa Arioli; James Rini; Roger Anguera-Singla; Adam Gazzaley; Peter E Wais
Journal:  Front Aging Neurosci       Date:  2022-07-01       Impact factor: 5.702

4.  Construct validity, ecological validity and acceptance of self-administered online neuropsychological assessment in adults.

Authors:  Naomi S Chaytor; Celestina Barbosa-Leiker; Laura T Germine; Luciana Mascarenhas Fonseca; Sterling M McPherson; Katherine R Tuttle
Journal:  Clin Neuropsychol       Date:  2020-09-03       Impact factor: 3.535

5.  The Wisconsin Card Sorting Test: Split-Half Reliability Estimates for a Self-Administered Computerized Variant.

Authors:  Alexander Steinke; Bruno Kopp; Florian Lange
Journal:  Brain Sci       Date:  2021-04-21

6.  Cognitive control training for urgency: A pilot randomized controlled trial in an acute clinical sample.

Authors:  Andrew D Peckham; Jenna P Sandler; Devin Dattolico; R Kathryn McHugh; Daniel S Johnson; Thröstur Björgvinsson; Diego A Pizzagalli; Courtney Beard
Journal:  Behav Res Ther       Date:  2021-09-14

7.  Digital Cognitive Assessments for Dementia: Digital assessments may enhance the efficiency of evaluations in neurology and other clinics.

Authors:  Adam M Staffaroni; Elena Tsoy; Jack Taylor; Adam L Boxer; Katherine L Possin
Journal:  Pract Neurol (Fort Wash Pa)       Date:  2020 Nov-Dec

8.  Diagnostic accuracy of the Cogstate Brief Battery for prevalent MCI and prodromal AD (MCI A+ T+ ) in a population-based sample.

Authors:  Eva C Alden; Shehroo B Pudumjee; Emily S Lundt; Sabrina M Albertson; Mary M Machulda; Walter K Kremers; Clifford R Jack; David S Knopman; Ronald C Petersen; Michelle M Mielke; Nikki H Stricker
Journal:  Alzheimers Dement       Date:  2021-03-01       Impact factor: 16.655

9.  How do we measure attention? Using factor analysis to establish construct validity of neuropsychological tests.

Authors:  Melissa Treviño; Xiaoshu Zhu; Yi Yi Lu; Luke S Scheuer; Eliza Passell; Grace C Huang; Laura T Germine; Todd S Horowitz
Journal:  Cogn Res Princ Implic       Date:  2021-07-22

10.  Developing Digital Tools for Remote Clinical Research: How to Evaluate the Validity and Practicality of Active Assessments in Field Settings.

Authors:  Jennifer Ferrar; Gareth J Griffith; Caroline Skirrow; Nathan Cashdollar; Nick Taptiklis; James Dobson; Fiona Cree; Francesca K Cormack; Jennifer H Barnett; Marcus R Munafò
Journal:  J Med Internet Res       Date:  2021-06-18       Impact factor: 5.428

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