Evidence map›Paper›PMID 36087362›Full record

ArticleAutonomic neuroscience : basic & clinical2022

Exploring the interplay between mechanisms of neuroplasticity and cardiovascular health in aging adults: A multiple linear regression analysis study.

Danylo F Cabral, Marcelo Bigliassi, Gabriele Cattaneo, Tatjana Rundek, Alvaro Pascual-Leone, Lawrence P Cahalin, Joyce Gomes-Osman

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Autonomic neuroscience : basic & clinical, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

7 authors.

Danylo F CabralDepartment of Physical Therapy, University of Miami Miller School of Medicine, Coral Gables, FL, USA. Electronic address: dlf28@miami.edu.
Marcelo BigliassiDepartment of Teaching and Learning, Florida International University, Miami, FL, USA.
Gabriele CattaneoInstitut Guttmann, Institut Universitari de Neurorehabilitació, Badalona, Spain; Department of Medicine, Universitat Autónoma de Barcelona, Bellaterra, Spain.
Tatjana RundekDepartment of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA; Evelyn F. McKnight Brain Institute, University of Miami, Miami, FL, USA.
Alvaro Pascual-LeoneInstitut Guttmann, Institut Universitari de Neurorehabilitació, Badalona, Spain; Hinda and Arthur Marcus Institute for Aging Research and Deanna and Sidney Wolk Center for Memory Health, Hebrew SeniorLife, Boston, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA.
Lawrence P CahalinDepartment of Physical Therapy, University of Miami Miller School of Medicine, Coral Gables, FL, USA.
Joyce Gomes-OsmanDepartment of Physical Therapy, University of Miami Miller School of Medicine, Coral Gables, FL, USA; Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA. Electronic address: j.gomes@miami.edu.

Funding

Institutional Career Development CoreKL2TR002737 · NCATS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI RUNDEK, TATJANA, SCOTT, GWENDOLYN BARBARA · 2018 to 2022
$3.6M
NCATS NIH HHS KL2 TR002737
6 · The paper itself

Abstract

backgroundNeuroplasticity and cardiovascular health behavior are critically important factors for optimal brain health.

objectiveTo assess the association between the efficacy of the mechanisms of neuroplasticity and metrics of cardiovascular heath in sedentary aging adults.

methodsWe included thirty sedentary individuals (age = 60.6 ± 3.8 y; 63 % female). All underwent assessments of neuroplasticity, measured by the change in amplitude of motor evoked potentials elicited by single-pulse Transcranial Magnetic Stimulation (TMS) at baseline and following intermittent Theta-Burst (iTBS) at regular intervals. Cardiovascular health measures were derived from the Incremental Shuttle Walking Test and included Heart Rate Recovery (HRR) at 1-min/2-min after test cessation. We also collected plasma levels of brain-derived neurotrophic factor (BDNF), vascular endothelial growth factor (VEGF), and c-reactive protein.

resultsWe revealed moderate but significant relationships between TMS-iTBS neuroplasticity, and the predictors of cardiovascular health (|r| = 0.38 to 0.53, p < .05). HRR1 was the best predictor of neuroplasticity (β = 0.019, p = .002). The best fit model (Likelihood ratio = 5.83, p = .016) of the association between neuroplasticity and HRR1 (β = 0.043, p = .002) was selected when controlling for demographics and health status. VEGF and BDNF plasma levels augmented the association between neuroplasticity and HRR1.

conclusionsOur findings build on existing data demonstrating that TMS may provide insight into neuroplasticity and the role cardiovascular health have on its mechanisms. These implications serve as theoretical framework for future longitudinal and interventional studies aiming to improve cardiovascular and brain health. HRR1 is a potential prognostic measure of cardiovascular health and a surrogate marker of brain health in aging adults.

Indexed as

Brain-Derived Neurotrophic FactorMotor CortexAdultAgingFemaleHumansMaleMiddle AgedNeuronal PlasticityRegression AnalysisVascular Endothelial Growth Factor ABrain-Derived Neurotrophic FactorVascular Endothelial Growth Factor AAutonomic systemBrain plasticityCardiovascular functionEndotheliumHeart rate recoveryOlder adultsTranscranial magnetic stimulation

Identifiers

PMID36087362
PMCPMC11012134

What OpenQuestion holds

Textmetadata
LicenceTDM
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.