Evidence map›Paper›PMID 39355433›Full record

ArticleNetwork neuroscience (Cambridge, Mass.)2024

Reorganization of structural connectivity in the brain supports preservation of cognitive ability in healthy aging.

Josh Neudorf, Kelly Shen, Anthony R McIntosh

Abstract read
In one paragraph

Article in Network neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

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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

3 authors.

Josh NeudorfInstitute for Neuroscience and Neurotechnology, Simon Fraser University, Burnaby, Canada.ORCID https://orcid.org/0000-0001-9227-1358
Kelly ShenInstitute for Neuroscience and Neurotechnology, Simon Fraser University, Burnaby, Canada.ORCID https://orcid.org/0000-0001-8780-9299
Anthony R McIntoshInstitute for Neuroscience and Neurotechnology, Simon Fraser University, Burnaby, Canada.ORCID https://orcid.org/0000-0002-1784-5662

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global population is aging rapidly, and a research question of critical importance is why some older adults suffer tremendous cognitive decline while others are mostly spared. Past aging research has shown that older adults with spared cognitive ability have better local short-range information processing while global long-range processing is less efficient. We took this research a step further to investigate whether the underlying structural connections, measured in vivo using diffusion magnetic resonance imaging (dMRI), show a similar shift to support cognitive ability. We analyzed the structural connectivity streamline probability (representing the probability of connection between regions) and nodal efficiency and local efficiency regional graph theory metrics to determine whether age and cognitive ability are related to structural network differences. We found that the relationship between structural connectivity and cognitive ability with age was nuanced, with some differences with age that were associated with poorer cognitive outcomes, but other reorganizations that were associated with spared cognitive ability. These positive changes included strengthened local intrahemispheric connectivity and increased nodal efficiency of the ventral occipital-temporal stream, nucleus accumbens, and hippocampus for older adults, and widespread local efficiency primarily for middle-aged individuals.

Indexed as

Diffusion-weighted magnetic resonance imagingFluid intelligenceGraph theoryHealthy agingLocal efficiencyNodal efficiencyStructural connectivity

Identifiers

PMID39355433
PMCPMC11398719

What Socratic 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 Socratic graph.