Evidence map›Paper›PMID 35227712›Full record

ReviewNeuroscience and biobehavioral reviews2022

Bridging patterns of neurocognitive aging across the older adult lifespan.

Jenna L Merenstein, Ilana J Bennett

Open access · greenAbstract readReview
In one paragraph

Review in Neuroscience and biobehavioral reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 20 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

2 authors at 1 institution in 1 country.

Jenna L MerensteinDepartment of Psychology, University of California, Riverside, USA. Electronic address: jklip001@ucr.edu.
Ilana J BennettDepartment of Psychology, University of California, Riverside, USA.
University of California, Riverside · US

Funding

Structural and functional substrates of associative memory load in agingF31AG071189 · NIA · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI MERENSTEIN, JENNA L · 2021 to 2022
$58k
NIA NIH HHS F31 AG071189
6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) studies of brain and neurocognitive aging rarely include oldest-old adults (ages 80 +). But predictions of neurocognitive aging theories derived from MRI findings in younger-old adults (ages ~55-80) may not generalize into advanced age, particularly given the increased prevalence of cognitive impairment/dementia in the oldest-old. Here, we reviewed the MRI literature in oldest-old adults and interpreted findings within the context of regional variation, compensation, brain maintenance, and reserve theories. Structural MRI studies revealed regional variation in brain aging as larger age effects on medial temporal and posterior regions for oldest-old than younger-old adults. They also revealed that brain maintenance explained preserved cognitive functioning into the tenth decade of life. Very few functional MRI studies examined compensatory activity in oldest-old adults who perform as well as younger groups, although there was evidence that higher brain reserve in oldest-old adults may mediate effects of brain aging on cognition. Despite some continuity, different cognitive and neural profiles across the older adult lifespan should be addressed in modern neurocognitive aging theories.

Indexed as

Cognitive ReserveLongevityAgedAged, 80 and overAgingBrainHumansMagnetic Resonance Imaging(3−12): oldest-oldAdvanced ageAnterior-to-posteriorBrain maintenanceBrain reserveCompensationMagnetic resonance imagingNeurocognitive agingNeuroimagingNonagenariansOctogenarians

Identifiers

PMID35227712
PMCPMC9888009
OpenAlexW4226059252

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.