Cargando…

Prefrontal Activation is Associated With Gait Quality During an Attentional Task in Older Adults

Prefrontal cortical activation varies by walking task and is a marker of attentional demand. We compared prefrontal activation by functional near-infrared spectroscopy (fNIRS) to accelerometry-derived gait quality. We hypothesized greater activation with lower gait quality (greater step-time coeffic...

Descripción completa

Detalles Bibliográficos
Autores principales: Baillargeon, Emma, Suri, Anisha, Chen, Nemin, Zhu, Xiaonan, Rosano, Caterina, Sejdic, Ervin, Huppert, Theodore, Rosso, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8969268/
http://dx.doi.org/10.1093/geroni/igab046.3521
_version_ 1784679210641522688
author Baillargeon, Emma
Suri, Anisha
Chen, Nemin
Zhu, Xiaonan
Rosano, Caterina
Sejdic, Ervin
Huppert, Theodore
Rosso, Andrea
author_facet Baillargeon, Emma
Suri, Anisha
Chen, Nemin
Zhu, Xiaonan
Rosano, Caterina
Sejdic, Ervin
Huppert, Theodore
Rosso, Andrea
author_sort Baillargeon, Emma
collection PubMed
description Prefrontal cortical activation varies by walking task and is a marker of attentional demand. We compared prefrontal activation by functional near-infrared spectroscopy (fNIRS) to accelerometry-derived gait quality. We hypothesized greater activation with lower gait quality (greater step-time coefficient-of-variation, decreased cadence, smoothness, regularity, and signal variability). Participants (n=114; age 74.4±6.0 years, 59.6% female) were independently ambulating individuals >64 years. Attentional (reciting every-other alphabet letter) and physical (uneven surface) challenges mimicked community mobility and provided four 15m walking conditions: even, uneven, ABC-even, and ABC-uneven. fNIRS data were referenced to quiet standing and averaged within left and right hemispheres. Gait metrics from a tri-axial accelerometer at the lower-back included cadence (steps/min), step-time coefficient-of-variation, signal variability (standard deviation), smoothness (harmonic ratio), and regularity (entropy). Associations between fNIRS and gait were quantified using Pearson correlations (α=0.05). Results were consistent across hemispheres, gait axes, and robust to adjustment for age and gait speed; we report unadjusted coefficients for left hemisphere and anterior-posterior gait direction. Greater prefrontal activation was associated with slower cadence (r=-0.220, p=0.019), lower signal variability (r=-0.228, p=0.015), and reduced smoothness (r=-0.194, p=0.039) during ABC-even. No relation was observed for step-time coefficient-of-variation or regularity. Results were similar for the ABC-uneven condition, except there was no association with gait smoothness but was with step-time coefficient-of-variation (r=0.25, p=0.007). Prefrontal activation was not correlated to gait quality in non-ABC conditions. Our findings support our hypothesis only during the ABC challenge, suggesting that older adults may rely on prefrontal activation to complete attentional but not physical challenges during gait.
format Online
Article
Text
id pubmed-8969268
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-89692682022-04-01 Prefrontal Activation is Associated With Gait Quality During an Attentional Task in Older Adults Baillargeon, Emma Suri, Anisha Chen, Nemin Zhu, Xiaonan Rosano, Caterina Sejdic, Ervin Huppert, Theodore Rosso, Andrea Innov Aging Abstracts Prefrontal cortical activation varies by walking task and is a marker of attentional demand. We compared prefrontal activation by functional near-infrared spectroscopy (fNIRS) to accelerometry-derived gait quality. We hypothesized greater activation with lower gait quality (greater step-time coefficient-of-variation, decreased cadence, smoothness, regularity, and signal variability). Participants (n=114; age 74.4±6.0 years, 59.6% female) were independently ambulating individuals >64 years. Attentional (reciting every-other alphabet letter) and physical (uneven surface) challenges mimicked community mobility and provided four 15m walking conditions: even, uneven, ABC-even, and ABC-uneven. fNIRS data were referenced to quiet standing and averaged within left and right hemispheres. Gait metrics from a tri-axial accelerometer at the lower-back included cadence (steps/min), step-time coefficient-of-variation, signal variability (standard deviation), smoothness (harmonic ratio), and regularity (entropy). Associations between fNIRS and gait were quantified using Pearson correlations (α=0.05). Results were consistent across hemispheres, gait axes, and robust to adjustment for age and gait speed; we report unadjusted coefficients for left hemisphere and anterior-posterior gait direction. Greater prefrontal activation was associated with slower cadence (r=-0.220, p=0.019), lower signal variability (r=-0.228, p=0.015), and reduced smoothness (r=-0.194, p=0.039) during ABC-even. No relation was observed for step-time coefficient-of-variation or regularity. Results were similar for the ABC-uneven condition, except there was no association with gait smoothness but was with step-time coefficient-of-variation (r=0.25, p=0.007). Prefrontal activation was not correlated to gait quality in non-ABC conditions. Our findings support our hypothesis only during the ABC challenge, suggesting that older adults may rely on prefrontal activation to complete attentional but not physical challenges during gait. Oxford University Press 2021-12-17 /pmc/articles/PMC8969268/ http://dx.doi.org/10.1093/geroni/igab046.3521 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Baillargeon, Emma
Suri, Anisha
Chen, Nemin
Zhu, Xiaonan
Rosano, Caterina
Sejdic, Ervin
Huppert, Theodore
Rosso, Andrea
Prefrontal Activation is Associated With Gait Quality During an Attentional Task in Older Adults
title Prefrontal Activation is Associated With Gait Quality During an Attentional Task in Older Adults
title_full Prefrontal Activation is Associated With Gait Quality During an Attentional Task in Older Adults
title_fullStr Prefrontal Activation is Associated With Gait Quality During an Attentional Task in Older Adults
title_full_unstemmed Prefrontal Activation is Associated With Gait Quality During an Attentional Task in Older Adults
title_short Prefrontal Activation is Associated With Gait Quality During an Attentional Task in Older Adults
title_sort prefrontal activation is associated with gait quality during an attentional task in older adults
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8969268/
http://dx.doi.org/10.1093/geroni/igab046.3521
work_keys_str_mv AT baillargeonemma prefrontalactivationisassociatedwithgaitqualityduringanattentionaltaskinolderadults
AT surianisha prefrontalactivationisassociatedwithgaitqualityduringanattentionaltaskinolderadults
AT chennemin prefrontalactivationisassociatedwithgaitqualityduringanattentionaltaskinolderadults
AT zhuxiaonan prefrontalactivationisassociatedwithgaitqualityduringanattentionaltaskinolderadults
AT rosanocaterina prefrontalactivationisassociatedwithgaitqualityduringanattentionaltaskinolderadults
AT sejdicervin prefrontalactivationisassociatedwithgaitqualityduringanattentionaltaskinolderadults
AT hupperttheodore prefrontalactivationisassociatedwithgaitqualityduringanattentionaltaskinolderadults
AT rossoandrea prefrontalactivationisassociatedwithgaitqualityduringanattentionaltaskinolderadults