Evidence map›Paper›PMID 34238987›Full record

ArticleScientific reports2021

Cortical correlates in upright dynamic and static balance in the elderly.

Maria Rubega, Emanuela Formaggio, Roberto Di Marco, Margherita Bertuccelli, Stefano Tortora, Emanuele Menegatti, Manuela Cattelan, Paolo Bonato, Stefano Masiero, Alessandra Del Felice

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
12.7field-weighted citation impact, top 1% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

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  13. Unraveling the threads of stability: A review of the neurophysiology of postural control in Parkinson's disease.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2024
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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

10 authors at 2 institutions in 2 countries.

Maria RubegaDepartment of Neuroscience, Section of Rehabilitation, University of Padua, Padova, 35128, Italy.
Emanuela FormaggioDepartment of Neuroscience, Section of Rehabilitation, University of Padua, Padova, 35128, Italy.
Roberto Di MarcoDepartment of Neuroscience, Section of Rehabilitation, University of Padua, Padova, 35128, Italy.
Margherita BertuccelliDepartment of Neuroscience, Section of Rehabilitation, University of Padua, Padova, 35128, Italy.
Stefano TortoraDepartment of Information Engineering, University of Padua, Padova, Italy, 35131.
Emanuele MenegattiDepartment of Information Engineering, University of Padua, Padova, Italy, 35131.
Manuela CattelanDepartment of Statistical Sciences, University of Padua, Padova, 35121, Italy.
Paolo BonatoDepartment of Physical Medicine and Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Charlestown, Boston, MA, 02129, USA.
Stefano MasieroDepartment of Neuroscience, Section of Rehabilitation, University of Padua, Padova, 35128, Italy.
Alessandra Del FeliceDepartment of Neuroscience, Section of Rehabilitation, University of Padua, Padova, 35128, Italy. alessandra.delfelice@unipd.it.
University of Padua · ITSpaulding Rehabilitation Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Falls are the second most frequent cause of injury in the elderly. Physiological processes associated with aging affect the elderly's ability to respond to unexpected balance perturbations, leading to increased fall risk. Every year, approximately 30% of adults, 65 years and older, experiences at least one fall. Investigating the neurophysiological mechanisms underlying the control of static and dynamic balance in the elderly is an emerging research area. The study aimed to identify cortical and muscular correlates during static and dynamic balance tests in a cohort of young and old healthy adults. We recorded cortical and muscular activity in nine elderly and eight younger healthy participants during an upright stance task in static and dynamic (core board) conditions. To simulate real-life dual-task postural control conditions, the second set of experiments incorporated an oddball visual task. We observed higher electroencephalographic (EEG) delta rhythm over the anterior cortex in the elderly and more diffused fast rhythms (i.e., alpha, beta, gamma) in younger participants during the static balance tests. When adding a visual oddball, the elderly displayed an increase in theta activation over the sensorimotor and occipital cortices. During the dynamic balance tests, the elderly showed the recruitment of sensorimotor areas and increased muscle activity level, suggesting a preferential motor strategy for postural control. This strategy was even more prominent during the oddball task. Younger participants showed reduced cortical and muscular activity compared to the elderly, with the noteworthy difference of a preferential activation of occipital areas that increased during the oddball task. These results support the hypothesis that different strategies are used by the elderly compared to younger adults during postural tasks, particularly when postural and cognitive tasks are combined. The knowledge gained in this study could inform the development of age-specific rehabilitative and assistive interventions.

Indexed as

Accidental FallsAdultAgedAgingBrain MappingCerebellar CortexElectroencephalographyFemaleHumansMaleMiddle AgedPostural BalancePsychomotor PerformanceSensorimotor CortexStanding PositionWounds and Injuries

Identifiers

PMID34238987
PMCPMC8266885
OpenAlexW3180260134

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.