Literature DB >> 28711663

Cognitive workload across the spectrum of cognitive impairments: A systematic review of physiological measures.

Maud Ranchet1, John C Morgan2, Abiodun E Akinwuntan3, Hannes Devos4.   

Abstract

Our objective was to identify the physiological measures that are sensitive to assessing cognitive workload across the spectrum of cognitive impairments. Three database searches were conducted: PubMed, PsychINFO, and Web of Science. Studies from the last decade that used physiological measures of cognitive workload in older adults (mean age >65 years-old) were reviewed. The cognitive workload of healthy older individuals was compared with the cognitive workload of younger adults, patients with mild cognitive impairment (MCI), and patients with Alzheimer's diseases (AD). The most common measures of cognitive workload included: electroencephalography, magnetoencephalography, functional magnetic resonance imaging, pupillometry, and heart rate variability. These physiological measures consistently showed greater cognitive workload in healthy older adults compared to younger adults when performing the same task. The same was observed in patients with MCI compared to healthy older adults. Behavioral performance declined when the available cognitive resources became insufficient to cope with the cognitive demands of a task, such as in AD. These findings may have implications for clinical practice and future cognitive interventions.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Alzheimer’s disease; Cognitive workload; Healthy aging; Mild cognitive impairment; Physiological measures

Mesh:

Year:  2017        PMID: 28711663     DOI: 10.1016/j.neubiorev.2017.07.001

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  13 in total

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2.  Pilot Feasibility Study Examining Pupillary Response During Driving Simulation as a Measure of Cognitive Load in Breast Cancer Survivors.

Authors:  Jamie S Myers; Nesreen Alissa; Melissa Mitchell; Junqiang Dai; Jianghua He; Sanghee Moon; Anne O'Dea; Jennifer Klemp; Monica Kurylo; Abiodun Akinwuntan; Hannes Devos
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3.  Multimodal measurement approach to identify individuals with mild cognitive impairment: study protocol for a cross-sectional trial.

Authors:  Bernhard Grässler; Fabian Herold; Milos Dordevic; Tariq Ali Gujar; Sabine Darius; Irina Böckelmann; Notger G Müller; Anita Hökelmann
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4.  Effect of Cognitive Demand on Functional Visual Field Performance in Senior Drivers with Glaucoma.

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Review 6.  Applications of Functional Near-Infrared Spectroscopy (fNIRS) Neuroimaging in Exercise⁻Cognition Science: A Systematic, Methodology-Focused Review.

Authors:  Fabian Herold; Patrick Wiegel; Felix Scholkmann; Notger G Müller
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7.  Cognitive workload during verbal abstract reasoning in Parkinson's disease: a pilot study.

Authors:  Sanghee Moon; Melike Kahya; Kelly E Lyons; Rajesh Pahwa; Abiodun E Akinwuntan; Hannes Devos
Journal:  Int J Neurosci       Date:  2020-04-07       Impact factor: 2.292

Review 8.  Neuroergonomics: A Perspective from Neuropsychology, with a Proposal about Workload.

Authors:  David J Hardy
Journal:  Brain Sci       Date:  2021-05-15

9.  Pupillary Response to Cognitive Demand in Parkinson's Disease: A Pilot Study.

Authors:  Melike Kahya; Sanghee Moon; Kelly E Lyons; Rajesh Pahwa; Abiodun E Akinwuntan; Hannes Devos
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10.  Alpha desynchronization during simple working memory unmasks pathological aging in cognitively healthy individuals.

Authors:  Xianghong Arakaki; Ryan Lee; Kevin S King; Alfred N Fonteh; Michael G Harrington
Journal:  PLoS One       Date:  2019-01-02       Impact factor: 3.240

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