Evidence map›Paper›PMID 27445740›Full record

ArticleFrontiers in human neuroscience2016

Comparing Aging and Fitness Effects on Brain Anatomy.

Mark A Fletcher, Kathy A Low, Rachel Boyd, Benjamin Zimmerman, Brian A Gordon, Chin H Tan, Nils Schneider-Garces, Bradley P Sutton, Gabriele Gratton, Monica Fabiani

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

23 citing papers in PubMed, 35 citations in OpenAlex.

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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 1 country.

Mark A FletcherBeckman Institute, University of Illinois, UrbanaIL, USA; Neuroscience Program, University of Illinois, UrbanaIllinois, USA.
Kathy A LowBeckman Institute, University of Illinois, Urbana IL, USA.
Rachel BoydBeckman Institute, University of Illinois, UrbanaIL, USA; Department of Psychology, University of Illinois, UrbanaIL, USA.
Benjamin ZimmermanBeckman Institute, University of Illinois, UrbanaIL, USA; Neuroscience Program, University of Illinois, UrbanaIllinois, USA.
Brian A GordonDepartment of Radiology, Washington University in St. Louis, Saint Louis MO, USA.
Chin H TanBeckman Institute, University of Illinois, UrbanaIL, USA; Department of Psychology, University of Illinois, UrbanaIL, USA.
Nils Schneider-GarcesBeckman Institute, University of Illinois, UrbanaIL, USA; Department of Psychology, University of Illinois, UrbanaIL, USA.
Bradley P SuttonBeckman Institute, University of Illinois, UrbanaIL, USA; Neuroscience Program, University of Illinois, UrbanaIllinois, USA; Department of Bioengineering, University of Illinois at Urbana-Champaign, UrbanaIL, USA.
Gabriele GrattonBeckman Institute, University of Illinois, UrbanaIL, USA; Neuroscience Program, University of Illinois, UrbanaIllinois, USA; Department of Psychology, University of Illinois, UrbanaIL, USA; Department of Bioengineering, University of Illinois at Urbana-Champaign, UrbanaIL, USA.
Monica FabianiBeckman Institute, University of Illinois, UrbanaIL, USA; Neuroscience Program, University of Illinois, UrbanaIllinois, USA; Department of Psychology, University of Illinois, UrbanaIL, USA; Department of Bioengineering, University of Illinois at Urbana-Champaign, UrbanaIL, USA.
University of Illinois Urbana-Champaign · USWashington University in St. Louis · US

Funding

Brain and behavioral correlates of fitness, cerebrovascular health and agingRC1AG035927 · NIA · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI FABIANI, MONICA · 2009 to 2010
$775k
NIA NIH HHS RC1 AG035927
6 · The paper itself

Abstract

Recent studies suggest that cardiorespiratory fitness (CRF) mitigates the brain's atrophy typically associated with aging, via a variety of beneficial mechanisms. One could argue that if CRF is generally counteracting the negative effects of aging, the same regions that display the greatest age-related volumetric loss should also show the largest beneficial effects of fitness. To test this hypothesis we examined structural MRI data from 54 healthy older adults (ages 55-87), to determine the overlap, across brain regions, of the profiles of age and fitness effects. Results showed that lower fitness and older age are associated with atrophy in several brain regions, replicating past studies. However, when the profiles of age and fitness effects were compared using a number of statistical approaches, the effects were not entirely overlapping. Interestingly, some of the regions that were most influenced by age were among those not influenced by fitness. Presumably, the age-related atrophy occurring in these regions is due to factors that are more impervious to the beneficial effects of fitness. Possible mechanisms supporting regional heterogeneity may include differential involvement in motor function, the presence of adult neurogenesis, and differential sensitivity to cerebrovascular, neurotrophic and metabolic factors.

Indexed as

agingbrain anatomycardiorespiratory fitnessexerciseFreeSurfer

Identifiers

PMID27445740
PMCPMC4923123
OpenAlexW2468708261

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.