Evidence map›Paper›PMID 34803657›Full record

ArticleFrontiers in aging neuroscience2021

Regional Cortical Thickness Predicts Top Cognitive Performance in the Elderly.

Elena Nicole Dominguez, Shauna M Stark, Yueqi Ren, Maria M Corrada, Claudia H Kawas, Craig E L Stark

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in aging neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 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

6 authors at 1 institution in 1 country.

Elena Nicole DominguezDepartment of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, United States.
Shauna M StarkDepartment of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, United States.
Yueqi RenMathematical, Computational and Systems Biology Graduate Program, University of California, Irvine, Irvine, CA, United States.
Maria M CorradaDepartment of Neurology, University of California, Irvine, Irvine, CA, United States.
Claudia H KawasDepartment of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, United States.
Craig E L StarkDepartment of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, United States.
University of California, Irvine · US

Funding

The Alzheimer's Disease Research Center at the University of California, IrvineP30AG066519 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI Elizabeth Head · 2020 to 2026
$27.9M
Training Program in Learning and MemoryT32MH119049 · NIMH · UNIVERSITY OF CALIFORNIA-IRVINE · PI BRUCE L MCNAUGHTON, Manuella Yassa · 2019 to 2026
$1.4M
NIA NIH HHS P30 AG066519NIMH NIH HHS T32 MH119049
6 · The paper itself

Abstract

While aging is typically associated with cognitive decline, some individuals are able to diverge from the characteristic downward slope and maintain very high levels of cognitive performance. Prior studies have found that cortical thickness in the cingulate cortex, a region involved in information processing, memory, and attention, distinguish those with exceptional cognitive abilities when compared to their cognitively more typical elderly peers. Others major areas outside of the cingulate, such as the prefrontal cortex and insula, are also key in successful aging well into late age, suggesting that structural properties across a wide range of areas may better explain differences in cognitive abilities. Here, we aim to assess the role of regional cortical thickness, both in the cingulate and the whole brain, in modeling Top Cognitive Performance (TCP), measured by performance in the top 50th percentile of memory and executive function. Using data from National Alzheimer's Coordinating Center and The 90 + Study, we examined healthy subjects aged 70-100 years old. We found that, while thickness in cingulate regions can model TCP status with some degree of accuracy, a whole-brain, network-level approach out-performed the localist, cingulate models. These findings suggests a need for more network-style approaches and furthers our understanding of neurobiological factors contributing to preserved cognition.

Indexed as

cingulate cortexcortical thicknessoldest-oldsuccessful agingSuperAgertop cognitive performer

Identifiers

PMID34803657
PMCPMC8601448
OpenAlexW3212556892

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.