Literature DB >> 28293603

From battlefield to home: a mobile platform for assessing brain health.

Helaine E Resnick1, Corinna E Lathan1.   

Abstract

Cognitive testing batteries have been used for decades to diagnose deficits associated with conditions such as head injury, age-related cognitive decline, and stroke, and they have also been used extensively for educational evaluation and planning. Cognitive testing is generally office-based, administered by professionals, uses paper and pencil testing modalities, reports results as summary scores, and is a "one shot deal" whose primary objective is to identify the presence and severity of cognitive deficit. This paper explores innovative departures from historical cognitive testing strategies and paradigms. The report explores (I) a shift from disease diagnosis in the office setting to mobile tracking of cognitive health and wellness in any setting; (II) the strength of computer-based cognitive measures and their role in facilitating development of new computational methods; and (III) using cognitive testing to inform on individual-level outcomes over time rather than dichotomous metrics at a single point in time.

Entities:  

Keywords:  Cognitive testing; cognition; computational methods; neuroinformatics

Year:  2016        PMID: 28293603      PMCID: PMC5344163          DOI: 10.21037/mhealth.2016.07.02

Source DB:  PubMed          Journal:  Mhealth        ISSN: 2306-9740


  15 in total

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3.  Computerized neuropsychological assessment devices: joint position paper of the American Academy of Clinical Neuropsychology and the National Academy of Neuropsychology.

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Journal:  Neuroimage       Date:  2006-09-27       Impact factor: 6.556

5.  Neuropsychological assessment in rehabilitation: Current limitations and applications.

Authors:  B Johnstone; R G Frank
Journal:  NeuroRehabilitation       Date:  1995       Impact factor: 2.138

Review 6.  Big data to smart data in Alzheimer's disease: The brain health modeling initiative to foster actionable knowledge.

Authors:  Hugo Geerts; Penny A Dacks; Viswanath Devanarayan; Magali Haas; Zaven S Khachaturian; Mark Forrest Gordon; Stuart Maudsley; Klaus Romero; Diane Stephenson
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Review 8.  Limitations of neuropsychological testing to predict the cognitive and behavioral functioning of persons with brain injury in real-world settings.

Authors:  R J Sbordone
Journal:  NeuroRehabilitation       Date:  2001       Impact factor: 2.138

9.  Point and counterpoint: patient control of access to data in their electronic health records.

Authors:  Kelly Caine; William M Tierney
Journal:  J Gen Intern Med       Date:  2015-01       Impact factor: 5.128

Review 10.  Moving beyond the pros and cons of automating cognitive testing in pathological aging and dementia: the case for equal opportunity.

Authors:  Keith A Wesnes
Journal:  Alzheimers Res Ther       Date:  2014-08-29       Impact factor: 6.982

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  5 in total

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Journal:  Int J Methods Psychiatr Res       Date:  2017-03-31       Impact factor: 4.035

2.  Orthostatic Challenge Causes Distinctive Symptomatic, Hemodynamic and Cognitive Responses in Long COVID and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome.

Authors:  Suzanne D Vernon; Sherlyn Funk; Lucinda Bateman; Gregory J Stoddard; Sarah Hammer; Karen Sullivan; Jennifer Bell; Saeed Abbaszadeh; W Ian Lipkin; Anthony L Komaroff
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3.  Evaluating the Feasibility of Frequent Cognitive Assessment Using the Mezurio Smartphone App: Observational and Interview Study in Adults With Elevated Dementia Risk.

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Journal:  JMIR Mhealth Uhealth       Date:  2020-04-02       Impact factor: 4.773

4.  Testing a Novel Web-Based Neurocognitive Battery in the General Community: Validation and Usability Study.

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5.  Feasibility of Repeated Assessment of Cognitive Function in Older Adults Using a Wireless, Mobile, Dry-EEG Headset and Tablet-Based Games.

Authors:  Esther C McWilliams; Florentine M Barbey; John F Dyer; Md Nurul Islam; Bernadette McGuinness; Brian Murphy; Hugh Nolan; Peter Passmore; Laura M Rueda-Delgado; Alison R Buick
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  5 in total

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