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. 2022 Jun;2(2):100085.
doi: 10.1016/j.ynirp.2022.100085. Epub 2022 Feb 25.

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

Affiliations

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

Hanna K Hausman et al. Neuroimage Rep. 2022 Jun.

Abstract

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.

Keywords: Executive functioning; Head motion; Inhibition; Older adults; Set-shifting.

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Conflict of interest statement

Conflict of interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Fig. 1
Fig. 1
Artifact rejection toolbox intermediate settings. Notes: Examples of the global BOLD signal change and subject motion parameters extracted from Artifact Rejection Toolbox for a A) low mover and B) high mover in our sample.
Fig. 2
Fig. 2
Spearman rank correlation scatterplots. Notes: Scatterplots depicting the association between cognitive performance and number of invalid scans for A) Digit Span Backwards, B) Letter Number Sequencing, C) Hopkins Verbal Learning Test - Revised (HVLT-R) Delayed Recall, D) Trail Making Test Part B, E) Stroop Color-Word Trial, and F) Symbol Digit Coding. The X and Y axes represent the unstandardized residuals, partialling out the effects of age and education from the cognitive measure and scanner type from the number of invalid scans. The Trail Making Test Part B metric is the number of seconds taken to complete the task; therefore, greater values reflect worse performance.

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