Evidence map›Paper›PMID 31647603›Full record

ArticleHippocampus2020

Cardiorespiratory fitness predicts effective connectivity between the hippocampus and default mode network nodes in young adults.

Corey A Kronman, Kathryn L Kern, Rachel K Nauer, Matthew F Dunne, Thomas W Storer, Karin Schon

Abstract read
In one paragraph

Article in Hippocampus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. 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.

Corey A KronmanGraduate Medical Sciences, Boston University School of Medicine, Boston, Massachusetts.
Kathryn L KernDepartment of Anatomy and Neurobiology, Boston University School of Medicine, Boston, Massachusetts.ORCID 0000-0001-7382-8472
Rachel K NauerDepartment of Anatomy and Neurobiology, Boston University School of Medicine, Boston, Massachusetts.ORCID 0000-0002-1713-8263
Matthew F DunneDepartment of Anatomy and Neurobiology, Boston University School of Medicine, Boston, Massachusetts.
Thomas W StorerMen's Health, Aging, and Metabolism Unit, Brigham and Women's Hospital, Boston, Massachusetts.
Karin SchonDepartment of Anatomy and Neurobiology, Boston University School of Medicine, Boston, Massachusetts.

Funding

Project-005UL1TR001430 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BAIR-MERRITT, MEGAN H, CENTER, DAVID M. · 2015 to 2024
$52.3M
Boston University Clinical and Translational Science Award (CTSA) Program UL1UL1TR000157 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CENTER, DAVID M. · 2012 to 2013
$7.9M
Aerobic Exercise, Neurotrophins, and fMRI of Hippocampal Function and StructureR00AG036845 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI SCHON, KARIN · 2013 to 2015
$697k
Boston University Clinical and Translational Science Institute 1UL1TR001430NCATS NIH HHS UL1 TR000157NIA NIH HHS R00 AG036845
6 · The paper itself

Abstract

Rodent and human studies examining the relationship between aerobic exercise, brain structure, and brain function indicate that the hippocampus (HC), a brain region critical for episodic memory, demonstrates striking plasticity in response to exercise. Beyond the hippocampal memory system, human studies also indicate that aerobic exercise and cardiorespiratory fitness (CRF) are associated with individual differences in large-scale brain networks responsible for broad cognitive domains. Examining network activity in large-scale resting-state brain networks may provide a link connecting the observed relationships between aerobic exercise, hippocampal plasticity, and cognitive enhancement within broad cognitive domains. Previously, CRF has been associated with increased functional connectivity of the default mode network (DMN), specifically in older adults. However, how CRF relates to the magnitude and directionality of connectivity, or effective connectivity, between the HC and other DMN nodes remains unknown. We used resting-state fMRI and conditional Granger causality analysis (CGCA) to test the hypothesis that CRF positively predicts effective connectivity between the HC and other DMN nodes in healthy young adults. Twenty-six participants (ages 18-35 years) underwent a treadmill test to determine CRF by estimating its primary determinant, maximal oxygen uptake (V

Indexed as

AdultCardiorespiratory FitnessDefault Mode NetworkFemaleForecastingHippocampusHumansMagnetic Resonance ImagingMaleNerve NetYoung Adultcardiorespiratory fitnessconnectivityexercisehippocampusresting-state fMRI

Identifiers

PMID31647603
PMCPMC7442492

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.