Evidence map›Paper›PMID 30921462›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2019

Neural Correlates of Enhanced Memory for Meaningful Associations with Age.

Tarek Amer, Kelly S Giovanello, Daniel R Nichol, Lynn Hasher, Cheryl L Grady

Open access · greenAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 30 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

5 authors at 2 institutions in 1 country.

Tarek AmerDepartment of Psychology, University of Toronto, Toronto, ON, USA.
Kelly S GiovanelloDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Daniel R NicholRotman Research Institute, Toronto, ON, USA.
Lynn HasherDepartment of Psychology, University of Toronto, Toronto, ON, USA.
Cheryl L GradyDepartment of Psychology, University of Toronto, Toronto, ON, USA.
Columbia University · USUniversity of North Carolina at Chapel Hill · US

Funding

CIHR MOP89769
6 · The paper itself

Abstract

Evidence suggests that age differences in associative memory are attenuated for associations that are consistent with prior knowledge. Such knowledge structures have traditionally been associated with the default network (DN), which also shows reduced modulation with age. In the present study, we investigated whether DN activity and connectivity patterns could account for this age-related effect. Younger and older adults underwent functional magnetic resonance imaging as they learned realistic and unrealistic prices of common grocery items. Both groups showed greater activity in the DN during the encoding of realistic, relative to unrealistic, prices. Moreover, DN activity at encoding and retrieval and its connectivity with an attention control network at encoding were associated with enhanced memory for realistic prices. Finally, older adults showed overactivation of control regions during retrieval of realistic prices relative to younger adults. Our findings suggest that DN activity and connectivity patterns (traditionally viewed as indicators of cognitive failure with age), and additional recruitment of control regions, might underlie older adults' enhanced memory for meaningful associations.

Indexed as

AdultAgedAgingAssociation LearningBrainBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMemoryMiddle AgedNeural PathwaysYoung Adultagingassociative memorycognitive controldefault network

Identifiers

PMID30921462
PMCPMC6917517
OpenAlexW2933995203

What OpenQuestion holds

Textmetadata
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.