Evidence map›Paper›PMID 35916531›Full record

ArticleHuman brain mapping2022

Interrelating differences in structural and functional connectivity in the older adult's brain.

Johanna Stumme, Camilla Krämer, Tatiana Miller, Jan Schreiber, Svenja Caspers, Christiane Jockwitz

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 23 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.

Johanna StummeInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany.ORCID 0000-0002-9220-5753
Camilla KrämerInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany.ORCID 0000-0003-0559-6272
Tatiana MillerInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany.
Jan SchreiberInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany.
Svenja CaspersInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany.
Christiane JockwitzInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany.ORCID 0000-0001-9332-7982
Forschungszentrum Jülich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the normal aging process, the functional connectome restructures and shows a shift from more segregated to more integrated brain networks, which manifests itself in highly different cognitive performances in older adults. Underpinnings of this reorganization are not fully understood, but may be related to age-related differences in structural connectivity, the underlying scaffold for information exchange between regions. The structure-function relationship might be a promising factor to understand the neurobiological sources of interindividual cognitive variability, but remain unclear in older adults. Here, we used diffusion weighted and resting-state functional magnetic resonance imaging as well as cognitive performance data of 573 older subjects from the 1000BRAINS cohort (55-85 years, 287 males) and performed a partial least square regression on 400 regional functional and structural connectivity (FC and SC, respectively) estimates comprising seven resting-state networks. Our aim was to identify FC and SC patterns that are, together with cognitive performance, characteristic of the older adults aging process. Results revealed three different aging profiles prevalent in older adults. FC was found to behave differently depending on the severity of age-related SC deteriorations. A functionally highly interconnected system is associated with a structural connectome that shows only minor age-related decreases. Because this connectivity profile was associated with the most severe age-related cognitive decline, a more interconnected FC system in older adults points to a process of dedifferentiation. Thus, functional network integration appears to increase primarily when SC begins to decline, but this does not appear to mitigate the decline in cognitive performance.

Indexed as

BrainConnectomeAgedAgingHumansMagnetic Resonance ImagingMaleNerve Netagingcognitive performancefunctional connectivitymultivariate analysesstructural connectivity

Identifiers

PMID35916531
PMCPMC9704795
OpenAlexW4289523498

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.