Evidence map›Paper›PMID 36890163›Full record

ArticleScientific reports2023

Neural correlates of gait adaptation in younger and older adults.

Tyler Fettrow, Kathleen Hupfeld, Chris Hass, Ofer Pasternak, Rachael Seidler

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Tyler FettrowDepartment of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, 32605, USA. tfettrow@gmail.com.
Kathleen HupfeldDepartment of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, 32605, USA.
Chris HassDepartment of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, 32605, USA.
Ofer PasternakDepartment of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Rachael SeidlerDepartment of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, 32605, USA.
University of Florida · USHarvard University · US

Funding

Multimodal imaging of brain activity to investigate walking and mobility decline in older adultsU01AG061389 · NIA · UNIVERSITY OF FLORIDA · PI CLARK, DAVID J, MANINI, TODD · 2018 to 2023
$5.8M
Interdisciplinary Training in Movement Disorders and NeurorestorationT32NS082168 · NINDS · UNIVERSITY OF FLORIDA · PI Melissa Jo Armstrong, David E Vaillancourt · 2015 to 2026
$2.8M
Advanced 3T for Structural and Functional Imaging at University of FloridaS10OD021726 · OD · UNIVERSITY OF FLORIDA · PI LONG, JOANNA R · 2017 to 2017
$2.0M
Cortical Inhibition and Mobility in Older AdultsF99AG068440 · NIA · UNIVERSITY OF FLORIDA · PI HUPFELD, KATHLEEN ELIZABETH · 2020 to 2021
$84k
NIA NIH HHS F99 AG068440NIA NIH HHS U01 AG061389NIH HHS 1F99AG068440NIH HHS S10 OD021726NIH HHS U01AG061389NINDS NIH HHS T32 NS082168
6 · The paper itself

Abstract

Mobility decline is a major concern for older adults. A key component of maintaining mobility with advancing age is the ability to learn and adapt to the environment. The split-belt treadmill paradigm is an experimental protocol that tests the ability to adapt to a dynamic environment. Here we examined the magnetic resonance imaging (MRI) derived structural neural correlates of individual differences in adaptation to split-belt walking for younger and older adults. We have previously shown that younger adults adopt an asymmetric walking pattern during split-belt walking, particularly in the medial-lateral (ML) direction, but older adults do not. We collected T[Formula: see text]-weighted and diffusion-weighted MRI scans to quantify brain morphological characteristics (i.e. in the gray matter and white matter) on these same participants. We investigated two distinct questions: (1) Are there structural brain metrics that are associated with the ability to adopt asymmetry during split-belt walking; and (2) Are there different brain-behavior relationships for younger and older adults? Given the growing evidence that indicates the brain has a critical role in the maintenance of gait and balance, we hypothesized that brain areas commonly associated with locomotion (i.e. basal ganglia, sensorimotor cortex, cerebellum) would be associated with ML asymmetry and that older adults would show more associations between split-belt walking and prefrontal brain areas. We identified multiple brain-behavior associations. More gray matter volume in the superior frontal gyrus and cerebellar lobules VIIB and VIII, more sulcal depth in the insula, more gyrification in the pre/post central gyri, and more fractional anisotropy in the corticospinal tract and inferior longitudinal fasciculus corresponded to more gait asymmetry. These associations did not differ between younger and older adults. This work progresses our understanding of how brain structure is associated with balance during walking, particularly during adaptation.

Indexed as

GaitWalkingAcclimatizationAdaptation, PhysiologicalAgedExercise TestHumansLocomotion

Identifiers

PMID36890163
PMCPMC9995534
OpenAlexW4323652067

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.