Evidence map›Paper›PMID 32932053›Full record

ArticleNeuroImage. Clinical2020

Resting state connectivity within the basal ganglia and gait speed in older adults with cerebral small vessel disease and locomotor risk factors.

H T Karim, A Rosso, H J Aizenstein, N I Bohnen, S Studenski, C Rosano

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 25% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.

  1. Pooled it
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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

6 authors at 2 institutions in 1 country.

H T KarimDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States. Electronic address: hek26@pitt.edu.
A RossoDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, United States.
H J AizensteinDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States.
N I BohnenDepartments of Radiology & Neurology, University of Michigan, Ann Arbor, MI, United States; Neurology Service & Geriatric Research Education and Clinical Center, VA Ann Arbor Healthcare System, Ann Arbor, MI, United States.
S StudenskiDepartment of Medicine, University of Pittsburgh, Pittsburgh, PA, United States.
C RosanoDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, United States.
University of Pittsburgh · USUniversity of Michigan · US

Funding

VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
Public Outreach and Education CoreP50NS091856 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAUER, WILLIAM T. · 2014 to 2019
$10.1M
CLINICAL RESEARCH TRAINING IN LATE-LIFE MOOD DISORDERST32MH019986 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HOWARD J AIZENSTEIN, Carmen Andreescu · 1997 to 2026
$6.9M
Neurobiological drivers of mobility resilience: the dopaminergic systemU01AG061393 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BOHNEN, NICOLAAS IDA, ROSANO, CATERINA · 2018 to 2022
$6.2M
Resilience to Mobility Impairment: Neural Correlates and Protective FactorsR01AG037451 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AIZENSTEIN, HOWARD J, ROSANO, CATERINA · 2011 to 2015
$2.9M
Brain anatomical correlates of mobility control in the oldest oldR01AG029232 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROSANO, CATERINA · 2007 to 2011
$2.7M
NIA NIH HHS P30 AG024827NIA NIH HHS R01 AG029232NIA NIH HHS R01 AG037451NIA NIH HHS U01 AG061393NIMH NIH HHS T32 MH019986NINDS NIH HHS P50 NS091856
6 · The paper itself

Abstract

BACKGROUND AND

aimThe basal ganglia are critical for planned locomotion, but their role in age-related gait slowing is not well known. Spontaneous regional co-activation of brain activity at rest, known as resting state connectivity, is emerging as a biomarker of functional neural specialization of varying human processes, including gait. We hypothesized that greater connectivity amongst regions of the basal ganglia would be associated with faster gait speed in the elderly. We further investigated whether this association was similar in strength to that of other risk factors for gait slowing, specifically white matter hyperintensities (WMH).

methodsA cohort of 269 adults (79-90 years, 146 females, 164 White) were assessed for gait speed (m/sec) via stopwatch; brain activation during resting state functional magnetic resonance imaging, WMH, and gray matter volume (GMV) normalized by intracranial volume via 3T neuroimaging; and risk factors of poorer locomotion via clinical exams (body mass index (BMI), muscle strength, vision, musculoskeletal pain, cardiometabolic conditions, depressive symptoms, and cognitive function). To understand whether basal ganglia connectivity shows distinct clusters of connectivity, we conducted a k-means clustering analysis of regional co-activation among the substantia nigra, nucleus accumbens, subthalamic nucleus, putamen, pallidum, and caudate. We conducted two multivariable linear regression models: (1) with gait speed as the dependent variable and connectivity, demographics, WMH, GMV, and locomotor risk factors as independent variables and (2) with basal ganglia connectivity as the dependent variable and demographics, WMH, GMV, and locomotor risk factors as independent variables.

resultsWe identified two clusters of basal ganglia connectivity: high and low without a distinct spatial distribution allowing us to compute an average connectivity index of the entire basal ganglia regional connectivity (representing a continuous measure). Lower connectivity was associated with slower gait, independent of other locomotor risk factors, including WMH; the coefficient of this association was similar to those of other locomotor risk factors. Lower connectivity was significantly associated with lower BMI and greater WMH.

conclusionsLower resting state basal ganglia connectivity is associated with slower gait speed. Its contribution appears comparable to WMH and other locomotor risk factors. Future studies should assess whether promoting higher basal ganglia connectivity in older adults may reduce age-related gait slowing.

Indexed as

Cerebral Small Vessel DiseasesWalking SpeedAgedBasal GangliaFemaleGray MatterHumansMagnetic Resonance ImagingRisk FactorsCerebrovascular BurdenConnectivityGaitLate-LifeResting StateWMH

Identifiers

PMID32932053
PMCPMC7495101
OpenAlexW3082732536

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.