Evidence map›Paper›PMID 41276751›Full record

ArticleGeroScience2026

Cognition and brain network connectivity in timed up & go performance.

Benxamin Varela-López, Santiago Galdo-Álvarez, Alba Felpete, Christian Habeck, Yaakov Stern, David Facal

Abstract read
In one paragraph

Article in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Turning as a single and dual task-associations with Alzheimer's and vascular pathologies in cognitively healthy older people.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
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.

Benxamin Varela-LópezInstituto de Psicoloxía, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.ORCID 0000-0001-5528-3093
Santiago Galdo-ÁlvarezInstituto de Psicoloxía, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.ORCID 0000-0002-5242-3203
Alba FelpeteInstituto de Psicoloxía, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.ORCID 0000-0002-5583-7938
Christian HabeckCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, New York, NY, USA.ORCID 0000-0001-9961-7446
Yaakov SternCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, New York, NY, USA.ORCID 0000-0001-7542-3241
David FacalInstituto de Psicoloxía, Universidade de Santiago de Compostela, Santiago de Compostela, Spain. david.facal@usc.es.ORCID 0000-0001-6230-0090

Funding

Axencia Galega de Innovación ED431C 2021/04Ministerio de Ciencia e Innovación PID2020-114521RB-C21Ministerio de Ciencia e Innovación PID2023-151659OB-C21Ministerio de Ciencia e Innovación PRX22/00175
6 · The paper itself

Abstract

Gait performance depends on numerous aspects of brain functioning that are also relevant to key cognitive processes throughout the lifespan. The Timed Up and Go (TUG) test has been shown to be a reliable tool for assessing age-related mobility changes and risk of falls in older adults. This study aimed to predict TUG performance using motor-cognitive inter-network connectivity, cognitive performance and socio-demographics. 189 participants without cognitive impairment were included. Mobility was measured with the TUG through a wireless inertial sensor device. Functional connectivity between the somatomotor hand, cerebellar, and cognitive-related networks was assessed using pairwise correlations among 264 predefined regions assigned to large-scale functional networks. Connectivity between networks was summarized by averaging Fisher z-transformed values across all ROI pairs linking each network pair. Three linear regression models were constructed including the dependent variables TUG total time, turning time and turning peak-angular velocity (PAV) and the independent variables age, sex, years of education, memory and executive performance, and inter-network connectivity patterns. Somatomotor hand - ventral attentional and cerebellar - DMN inter-network connectivity were significant predictors of TUG total time. Memory performance, somatomotor hand - salience and -cingulo opercular inter-network connectivity were significant predictors of turning time. Age, years of education, somatomotor hand - dorsal attentional and cerebellar - cingulo opercular network activation were significant predictors of turning PAV. Findings indicate different contributions of attentional systems to gait performance in aging.

Indexed as

AgingBrainCognitionGaitNerve NetAccidental FallsAgedAged, 80 and overFemaleGeriatric AssessmentHumansMaleMiddle AgedExecutive functionsGaitMemoryResting state connectivity

Identifiers

PMID41276751
PMCPMC12972168

What OpenQuestion holds

Textmetadata
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.