The association between head motion during functional magnetic resonance imaging and executive functioning in older adults

Hanna K. Hausman; Cheshire Hardcastle; Jessica N. Kraft; Nicole D. Evangelista; Emanuel M. Boutzoukas; Andrew O'Shea; Alejandro Albizu; Kailey Langer; Emily J. Van Etten; Pradyumna K. Bharadwaj; Hyun Song; Samantha G. Smith; Eric Porges; Georg A. Hishaw; Samuel Wu; Steven DeKosky; Gene E. Alexander; Michael Marsiske; Ronald Cohen; Adam J. Woods

Neuroimage: Reports (Jun 2022)

The association between head motion during functional magnetic resonance imaging and executive functioning in older adults

Hanna K. Hausman,
Cheshire Hardcastle,
Jessica N. Kraft,
Nicole D. Evangelista,
Emanuel M. Boutzoukas,
Andrew O'Shea,
Alejandro Albizu,
Kailey Langer,
Emily J. Van Etten,
Pradyumna K. Bharadwaj,
Hyun Song,
Samantha G. Smith,
Eric Porges,
Georg A. Hishaw,
Samuel Wu,
Steven DeKosky,
Gene E. Alexander,
Michael Marsiske,
Ronald Cohen,
Adam J. Woods

Affiliations

Hanna K. Hausman: Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA; Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
Cheshire Hardcastle: Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA; Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
Jessica N. Kraft: Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA; Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL, USA
Nicole D. Evangelista: Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA; Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
Emanuel M. Boutzoukas: Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA; Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
Andrew O'Shea: Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA; Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
Alejandro Albizu: Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA; Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL, USA
Kailey Langer: Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA; Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
Emily J. Van Etten: Brain Imaging, Behavior and Aging Laboratory, Department of Psychology and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA
Pradyumna K. Bharadwaj: Brain Imaging, Behavior and Aging Laboratory, Department of Psychology and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA
Hyun Song: Brain Imaging, Behavior and Aging Laboratory, Department of Psychology and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA
Samantha G. Smith: Brain Imaging, Behavior and Aging Laboratory, Department of Psychology and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA
Eric Porges: Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA; Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
Georg A. Hishaw: Department of Psychiatry, Neuroscience and Physiological Sciences Graduate Interdisciplinary Programs and BIO5 Institute, University of Arizona and Arizona Alzheimer's Disease Consortium, Tucson, AZ, USA
Samuel Wu: Department of Biostatistics, College of Public Health and Health Professions, College of Medicine, University of Florida, Gainesville, FL, USA
Steven DeKosky: Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA; Department of Neurology, College of Medicine, University of Florida, Gainesville, FL, USA
Gene E. Alexander: Brain Imaging, Behavior and Aging Laboratory, Department of Psychology and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA; Department of Psychiatry, Neuroscience and Physiological Sciences Graduate Interdisciplinary Programs and BIO5 Institute, University of Arizona and Arizona Alzheimer's Disease Consortium, Tucson, AZ, USA
Michael Marsiske: Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA; Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
Ronald Cohen: Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA; Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
Adam J. Woods: Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA; Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA; Corresponding author. University of Florida, PO Box 100165, 1225 Center Drive, Gainesville, FL 32610-0165, USA.

Journal volume & issue: Vol. 2, no. 2
p. 100085

Abstract

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Minimizing head motion during functional magnetic resonance imaging (fMRI) is important for maintaining the integrity of neuroimaging data. While there are a variety of techniques to control for head motion, oftentimes, individuals with excessive in-scanner motion are removed from analyses. Movement in the scanner tends to increase with age; however, the cognitive profile of these “high-movers” in older adults has yet to be explored. This study aimed to assess the association between in-scanner head motion (i.e., number of “invalid scans” flagged as motion outliers) and cognitive functioning (e.g., executive functioning, processing speed, and verbal memory performance) in a sample of 282 healthy older adults. Spearman's Rank-Order correlations showed that a higher number of invalid scans was significantly associated with poorer performance on tasks of inhibition and cognitive flexibility and with older age. Since performance in these domains tend to decline as a part of the non-pathological aging process, these findings raise concerns regarding the potential systematic exclusion due to motion of older adults with lower executive functioning in neuroimaging samples. Future research should continue to explore prospective motion correction techniques to better ensure the collection of quality neuroimaging data without excluding informative participants from the sample.

Published in Neuroimage: Reports

ISSN: 2666-9560 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry
Website: https://www.journals.elsevier.com/neuroimage-reports

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