Evidence map›Paper›PMID 34655658›Full record

ReviewNeuroscience and biobehavioral reviews2021

Evidence for exercise-related plasticity in functional and structural neural network connectivity.

Junyeon Won, Daniel D Callow, Gabriel S Pena, Marissa A Gogniat, Yash Kommula, Naomi A Arnold-Nedimala, Leslie S Jordan, J Carson Smith

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Neuroscience and biobehavioral reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 5 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

64 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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4 more citing papers are in PubMed but not listed here.

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

8 authors.

Junyeon WonDepartment of Kinesiology, University of Maryland, College Park, MD, United States.
Daniel D CallowDepartment of Kinesiology, University of Maryland, College Park, MD, United States; Program in Neuroscience and Cognitive Science, University of Maryland, College Park, MD, United States.
Gabriel S PenaDepartment of Kinesiology, University of Maryland, College Park, MD, United States.
Marissa A GogniatDepartment of Psychology, University of Georgia, Athens, GA, United States.
Yash KommulaDepartment of Kinesiology, University of Maryland, College Park, MD, United States; Program in Neuroscience and Cognitive Science, University of Maryland, College Park, MD, United States.
Naomi A Arnold-NedimalaDepartment of Kinesiology, University of Maryland, College Park, MD, United States.
Leslie S JordanProgram in Neuroscience and Cognitive Science, University of Maryland, College Park, MD, United States.
J Carson SmithDepartment of Kinesiology, University of Maryland, College Park, MD, United States; Program in Neuroscience and Cognitive Science, University of Maryland, College Park, MD, United States. Electronic address: carson@umd.edu.

Funding

Exercise for Brain Health with Increased Genetic Risk for Alzheimer's DiseaseR01AG057552 · NIA · UNIV OF MARYLAND, COLLEGE PARK · PI SMITH, JEROME CARSON · 2017 to 2021
$6.2M
NIA NIH HHS R01 AG057552
6 · The paper itself

Abstract

The number of studies investigating exercise and cardiorespiratory fitness (CRF)-related changes in the functional and structural organization of brain networks continues to rise. Functional and structural connectivity are critical biomarkers for brain health and many exercise-related benefits on the brain are better represented by network dynamics. Here, we reviewed the neuroimaging literature to better understand how exercise or CRF may facilitate and maintain the efficiency and integrity of functional and structural aspects of brain networks in both younger and older adults. Converging evidence suggests that increased exercise performance and CRF modulate functional connectivity of the brain in a way that corresponds to behavioral changes such as cognitive and motor performance improvements. Similarly, greater physical activity levels and CRF are associated with better cognitive and motor function, which may be brought about by enhanced structural network integrity. This review will provide a comprehensive understanding of trends in exercise-network studies as well as future directions based on the gaps in knowledge that are currently present in the literature.

Indexed as

Cardiorespiratory FitnessWhite MatterAgedBrainExerciseHumansMagnetic Resonance ImagingNeural Networks, ComputerNeural PathwaysCardiorespiratory fitnessCognitionDiffusion tensor imagingExercisePhysical activityResting state fMRIWhite matter fiber tracts

Identifiers

PMID34655658
PMCPMC8642315

What OpenQuestion holds

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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.