Evidence map›Paper›PMID 34868875›Full record

ArticleBrain plasticity (Amsterdam, Netherlands)2021

The Effects of Cardiorespiratory and Motor Skill Fitness on Intrinsic Functional Connectivity of Neural Networks in Individuals with Parkinson's Disease.

Behnaz Jarrahi, Sarah C McEwen, Daniel P Holschneider, Dawn M Schiehser, Andrew J Petkus, Megan E Gomez, Jack D Van Horn, Vincent Filoteo, Michael W Jakowec, Giselle M Petzinger

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Brain plasticity (Amsterdam, Netherlands), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 47% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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 6 institutions in 2 countries.

Behnaz JarrahiDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, California, USA.
Sarah C McEwenPacific Brain Health Center, Pacific Neuroscience Institute, Santa Monica, CA, USA.
Daniel P HolschneiderDepartment of Neurology, University of Southern California, Los Angeles, CA, USA.
Dawn M SchiehserResearch & Psychology Services, VA San Diego Healthcare System (VASDHS), San Diego, CA, USA.
Andrew J PetkusDepartment of Neurology, University of Southern California, Los Angeles, CA, USA.
Megan E GomezDepartment of Psychology, Tibor Rubin Veterans Administration Medical Center, Long Beach, CA, USA.
Jack D Van HornDepartment of Psychology and School of Data Science, University of Virginia, Charlottesville, VA, USA.
Vincent FiloteoResearch & Psychology Services, VA San Diego Healthcare System (VASDHS), San Diego, CA, USA.
Michael W JakowecDepartment of Neurology, University of Southern California, Los Angeles, CA, USA.
Giselle M PetzingerDepartment of Neurology, University of Southern California, Los Angeles, CA, USA.
University of Southern California · USUniversity of California San Diego · USProvidence College · USStanford University · USTibor Rubin VA Medical Center · USUniversity of Virginia · US

Funding

Multivariate Machine Learning to Characterize Opioid-induced Alterations in the Brain in Chronic PainK25DA048179 · NIDA · STANFORD UNIVERSITY · PI JARRAHI, BEHNAZ · 2020 to 2024
$879k
NIDA NIH HHS K25 DA048179
6 · The paper itself

Abstract

backgroundStudies in aging older adults have shown the positive association between cognition and exercise related fitness, particularly cardiorespiratory fitness. These reports have also demonstrated the association of high cardiorespiratory fitness, as well as other types of fitness, on the reversal of age-related decline in neural network connectivity, highlighting the potential role of fitness on age- and disease-related brain changes. While the clinical benefits of exercise are well-documented in Parkinson's disease (PD), the extent to which cardiorespiratory fitness (assessed by estimated VO

methodsIn this cross-sectional resting state fMRI, we used a multivariate statistical approach based on high-dimensional independent component analysis (ICA) to investigate the association between two independent fitness metrics (estimated VO

resultsWe found that increased estimated VO

conclusionThis study provides important empirical data supporting the potential association between two forms of fitness and multiple resting state networks impacting PD cognition. Linking fitness to circuit specific modulation of resting state network connectivity will help establish a neural basis for the positive effects of fitness and specific exercise modalities and provide a foundation to identify underlying mechanisms to promote repair.

Indexed as

exercisefunctional network connectivityimagingmotor skillPhysical activityresting state functional MRI

Identifiers

PMID34868875
PMCPMC8609487
OpenAlexW3129169262

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.