Evidence map›Paper›PMID 32442638›Full record

ArticleNeuroImage2020

Older adults benefit from more widespread brain network integration during working memory.

C A Crowell, S W Davis, L Beynel, L Deng, D Lakhlani, S A Hilbig, H Palmer, A Brito, A V Peterchev, B Luber and 3 more

Abstract read
In one paragraph

Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
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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

13 authors.

C A CrowellDepartment of Neurology, Duke University School of Medicine, Durham, NC, 27708, USA; Department of Psychiatry and Behavioral Science, Duke University School of Medicine, Durham, NC, 27708, USA.
S W DavisDepartment of Neurology, Duke University School of Medicine, Durham, NC, 27708, USA; Department of Psychiatry and Behavioral Science, Duke University School of Medicine, Durham, NC, 27708, USA; Center for Cognitive Neuroscience, Duke University, Durham, NC, 27710, USA. Electronic address: simon.davis@duke.edu.
L BeynelDepartment of Psychiatry and Behavioral Science, Duke University School of Medicine, Durham, NC, 27708, USA.
L DengCenter for Cognitive Neuroscience, Duke University, Durham, NC, 27710, USA.
D LakhlaniDepartment of Neurology, Duke University School of Medicine, Durham, NC, 27708, USA.
S A HilbigDepartment of Psychiatry and Behavioral Science, Duke University School of Medicine, Durham, NC, 27708, USA.
H PalmerDepartment of Psychiatry and Behavioral Science, Duke University School of Medicine, Durham, NC, 27708, USA.
A BritoDepartment of Psychiatry and Behavioral Science, Duke University School of Medicine, Durham, NC, 27708, USA.
A V PeterchevDepartment of Psychiatry and Behavioral Science, Duke University School of Medicine, Durham, NC, 27708, USA; Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA; Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27708, USA; Department of Neurosurgery, Duke University School of Medicine, Durham, NC, 27710, USA.
B LuberNational Institute of Mental Health, Bethesda, MD, 20852, USA.
S H LisanbyNational Institute of Mental Health, Bethesda, MD, 20852, USA.
L G AppelbaumDepartment of Psychiatry and Behavioral Science, Duke University School of Medicine, Durham, NC, 27708, USA.
R CabezaDepartment of Psychiatry and Behavioral Science, Duke University School of Medicine, Durham, NC, 27708, USA; Department of Psychology & Neuroscience, Duke University, Durham, NC, 27708, USA.

Funding

Non-invasive Neuromodulation Unit (NNU)ZIAMH002955 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI ZARATE, CARLOS · 2016 to 2025
$40.3M
Using fMRI-guided TMS to increase central executive function in older adults - Administrative SupplementU01AG050618 · NIA · DUKE UNIVERSITY · PI APPELBAUM, LAWRENCE G., CABEZA, ROBERTO · 2016 to 2019
$2.3M
Bilateral Brain Dynamics Supporting Cognition in Normal Aging and DementiaK01AG053539 · NIA · DUKE UNIVERSITY · PI DAVIS, SIMON W · 2017 to 2021
$518k
Using fMRI-guided TMS to increase central executive function in older adultsR01AG050618 · NIA · DUKE UNIVERSITY · PI APPELBAUM, LAWRENCE G., CABEZA, ROBERTO · 2015 to 2015
$497k
NIA NIH HHS K01 AG053539NIA NIH HHS R01 AG050618NIA NIH HHS U01 AG050618
6 · The paper itself

Abstract

Neuroimaging evidence suggests that the aging brain relies on a more distributed set of cortical regions than younger adults in order to maintain successful levels of performance during demanding cognitive tasks. However, it remains unclear how task demands give rise to this age-related expansion in cortical networks. To investigate this issue, functional magnetic resonance imaging was used to measure univariate activity, network connectivity, and cognitive performance in younger and older adults during a working memory (WM) task. Here, individuals performed a WM task in which they held letters online while reordering them alphabetically. WM load was titrated to obtain four individualized difficulty levels with different set sizes. Network integration-defined as the ratio of within-versus between-network connectivity-was linked to individual differences in WM capacity. The study yielded three main findings. First, as task difficulty increased, network integration decreased in younger adults, whereas it increased in older adults. Second, age-related increases in network integration were driven by increases in right hemisphere connectivity to both left and right cortical regions, a finding that helps to reconcile existing theories of compensatory recruitment in aging. Lastly, older adults with higher WM capacity demonstrated higher levels of network integration in the most difficult task condition. These results shed light on the mechanisms of age-related network reorganization by demonstrating that changes in network connectivity may act as an adaptive form of compensation, with older adults recruiting a more distributed cortical network as task demands increase.

Indexed as

AdolescentAdultAgedAged, 80 and overAgingBrain MappingCerebral CortexCognitionFemaleHumansMagnetic Resonance ImagingMaleMemory, Short-TermNerve NetNeuroimagingPsychomotor Performance

Identifiers

PMID32442638
PMCPMC7571507

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.