Faculty
Health Science
Supervisor Name
Lindsay Nagamatsu
Keywords
falls, older adults, aging, functional neuroimaging, cognition, executive function, non-dual task, systematic review
Description
Falls in older adults have been attributed to impaired cognition. There is potential for neuroimaging techniques to understand the biological components that are involved in the cognitive processes pertaining to falls. Therefore, the purpose of this systematic review was to analyze how functional neuroimaging can be used to examine the relationship between falls and cognition among older adults. The following five electronic databases were selected to identify peer-reviewed articles in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses: 1) Medline (via OVID), 2) PsycINFO (via OVID), 3) CINAHL (via EBSCO), 4) EMBASE (via OVID), and 5) Pubmed. From the search, 9 articles were included that fit the inclusion criteria. The articles suggest that functional neuroimaging techniques can be efficacious for predicting falls in older adults.
Acknowledgements
I would like to thank Dr. Nagamatsu for being a great mentor throughout the summer, Samantha Marshall for allowing us to help with her study as well as, the Exercise, Brain, and Mobility Health Lab.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
Document Type
Poster
Included in
Cognitive Neuroscience Commons, Community Health and Preventive Medicine Commons, Other Kinesiology Commons
Functional Neuroimaging Techniques to Examine Falls and Cognition in Older Adults: A Systematic Review
Falls in older adults have been attributed to impaired cognition. There is potential for neuroimaging techniques to understand the biological components that are involved in the cognitive processes pertaining to falls. Therefore, the purpose of this systematic review was to analyze how functional neuroimaging can be used to examine the relationship between falls and cognition among older adults. The following five electronic databases were selected to identify peer-reviewed articles in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses: 1) Medline (via OVID), 2) PsycINFO (via OVID), 3) CINAHL (via EBSCO), 4) EMBASE (via OVID), and 5) Pubmed. From the search, 9 articles were included that fit the inclusion criteria. The articles suggest that functional neuroimaging techniques can be efficacious for predicting falls in older adults.