Evidence map›Paper›PMID 36376083›Full record

ArticleeNeuro

Structural and Functional MRI Data Differentially Predict Chronological Age and Behavioral Memory Performance.

Joram Soch, Anni Richter, Jasmin M Kizilirmak, Hartmut Schütze, Hannah Feldhoff, Larissa Fischer, Lea Knopf, Matthias Raschick, Annika Schult, Emrah Düzel and 1 more

Abstract read
In one paragraph

Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 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

11 authors.

Joram SochGerman Center for Neurodegenerative Diseases (DZNE), 37075 Göttingen, Germany joram.soch@dzne.de bschott@lin-magdeburg.de.
Anni RichterLeibniz Institute for Neurobiology (LIN), 39118 Magdeburg, Germany.
Jasmin M KizilirmakGerman Center for Neurodegenerative Diseases (DZNE), 37075 Göttingen, Germany.
Hartmut SchützeGerman Center for Neurodegenerative Diseases (DZNE), 39120 Magdeburg, Germany.
Hannah FeldhoffLeibniz Institute for Neurobiology (LIN), 39118 Magdeburg, Germany.
Larissa FischerLeibniz Institute for Neurobiology (LIN), 39118 Magdeburg, Germany.
Lea KnopfLeibniz Institute for Neurobiology (LIN), 39118 Magdeburg, Germany.
Matthias RaschickLeibniz Institute for Neurobiology (LIN), 39118 Magdeburg, Germany.
Annika SchultLeibniz Institute for Neurobiology (LIN), 39118 Magdeburg, Germany.
Emrah DüzelGerman Center for Neurodegenerative Diseases (DZNE), 39120 Magdeburg, Germany.
Björn H SchottGerman Center for Neurodegenerative Diseases (DZNE), 37075 Göttingen, Germany joram.soch@dzne.de bschott@lin-magdeburg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human cognitive abilities decline with increasing chronological age, with decreased explicit memory performance being most strongly affected. However, some older adults show "successful aging," that is, relatively preserved cognitive ability in old age. One explanation for this could be higher brain-structural integrity in these individuals. Alternatively, the brain might recruit existing resources more efficiently or employ compensatory cognitive strategies. Here, we approached this question by testing multiple candidate variables from structural and functional neuroimaging for their ability to predict chronological age and memory performance, respectively. Prediction was performed using support vector machine (SVM) classification and regression across and within two samples of young (

Indexed as

Magnetic Resonance ImagingMemory, EpisodicAgedAgingBrainBrain MappingCognitionHumansbrain maintenancecognitive reservefMRI activitygray matter volumesubsequent memorysuccessful aging

Identifiers

PMID36376083
PMCPMC9665883

What OpenQuestion holds

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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.