Brain vital signs as a quantitative measure of cognition: Methodological implementation in a care home environment.

Autor:	Ighalo J; Simon Fraser University, Faculty of Sciences and Applied Sciences, Metro-Vancouver, Canada.; Health and Technology District, BrainNET, Metro-Vancouver, Canada., Kirby ED; Simon Fraser University, Faculty of Sciences and Applied Sciences, Metro-Vancouver, Canada.; Health and Technology District, BrainNET, Metro-Vancouver, Canada., Song X; Simon Fraser University, Faculty of Sciences and Applied Sciences, Metro-Vancouver, Canada.; Fraser Health, Surrey Memorial Hospital and Royal Columbian Hospital, Metro-Vancouver, Canada., Fickling SD; HealthTech Connex, Centre for Neurology Studies, Metro-Vancouver, Canada., Pawlowski G; Simon Fraser University, Faculty of Sciences and Applied Sciences, Metro-Vancouver, Canada.; Health and Technology District, BrainNET, Metro-Vancouver, Canada., Hajra SG; Simon Fraser University, Faculty of Sciences and Applied Sciences, Metro-Vancouver, Canada.; Florida Institute of Technology, College of Engineering and Sciences, Melbourne, FL, USA., Liu CC; Simon Fraser University, Faculty of Sciences and Applied Sciences, Metro-Vancouver, Canada.; Florida Institute of Technology, College of Engineering and Sciences, Melbourne, FL, USA., Menon C; Simon Fraser University, Faculty of Sciences and Applied Sciences, Metro-Vancouver, Canada.; ETH Zurich, Department of Health Sciences and Technology, Zurich, Switzerland., Shah SA; Department of Radiology, Weill Cornell Medicine, New York, USA., Knoefel F; Bruyere Research Institute, Bruyere Memory Program, Ottawa, Canada.; University of Ottawa, Faculty of Medicine, Ottawa, Canada.; Carleton University, Faculty of Engineering and Design, Ottawa, Canada., D'Arcy RCN; Simon Fraser University, Faculty of Sciences and Applied Sciences, Metro-Vancouver, Canada.; Health and Technology District, BrainNET, Metro-Vancouver, Canada.; Fraser Health, Surrey Memorial Hospital and Royal Columbian Hospital, Metro-Vancouver, Canada.; University of British Columbia, DM Centre for Brain Health, Metro-Vancouver, Canada.
Jazyk:	angličtina
Zdroj:	Heliyon [Heliyon] 2024 Mar 29; Vol. 10 (7), pp. e28982. Date of Electronic Publication: 2024 Mar 29 (Print Publication: 2024).
DOI:	10.1016/j.heliyon.2024.e28982
Abstrakt:	Introduction: Managing cognitive function in care homes is a significant challenge. Individuals in care have a variety of scores across standard clinical assessments, such as the Mini-Mental Status Exam (MMSE), and many of them have scores that fall within the range associated with dementia. A recent methodological advance, brain vital sign monitoring through auditory event-related potentials, provides an objective and sensitive physiological measurement to track abnormalities, differences, or changes in cognitive function. Taking advantage of point-of-care accessibility, the current study evaluated the methodological feasibility, the assessment of whether a particular research method can be successfully implemented, of quantitatively measuring cognition of care home residents using brain vital signs. Secondarily, the current study examined the relationship between brain vital signs, specifically the cognitive processing associated N400 component, and MMSE scores in care home residents. Materials and Methods: Brain vital signs used the established N100 (auditory sensation), P300 (basic attention), and N400 (cognitive processing) event-related potential (ERP) components. A total of 52 residents were enrolled, with all participants evaluated using the MMSE. Participants were assigned into homogeneous groups based on their MMSE scores, and were categorized into low (n = 14), medium (n = 17), and high (n = 13) MMSE groups. Both brain vital sign measures and underlying ERP waveforms were examined. Statistical analyses used partial least squares correlation (PLS) analyses in which both MMSE and age were included as factors, as well as jackknife approaches, to test for significant brain vital sign changes. Results: The current study successfully measured and analyzed standardized, quantifiable brain vital signs in a care home setting. ERP waveform data showed specific N400 changes between MMSE groups as a function of MMSE score. PLS analyses confirmed significant MMSE-related and age-related differences in the N400 amplitude ( p  < 0.05, corrected). Similarly, the jackknife approach emphasized the N400 latency difference between the low and high MMSE groups. Discussion and Conclusion: It was possible to acquire brain vital signs measures in care home residents. Additionally, the current study evaluated brain vital signs relative to MMSE in this group. The comparison revealed significant decreasing in N400 response amplitude (cognitive processing) as a function of both MMSE score and age, as well as a slowing of N400 latency. The findings indicate that objective neurophysiological measures of impairment are detectable in care home residents across the span of MMSE scores. Direct comparison to MMSE- and age-related variables represents a critical initial step ahead of future studies that will investigate relative improvements in sensitivity, validity, reliability and related advantages of brain vital sign monitoring. Competing Interests: The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:Ryan D'Arcy reports financial support was provided by Canadian Frailty Network. Ryan D'Arcy reports financial support and administrative support were provided by Surrey HospitalsFoundation. Shaun Fickling reports a relationship with HealthTech Connex Inc that includes: employment. Several authors are associated with HealthTech Connex Inc., which may qualify them to financially benefit from the commercialization of a NeuroCatch® Platform capable of measuring brain vital signs. (© 2024 Published by Elsevier Ltd.)
Databáze:	MEDLINE
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