Evidence map›Paper›PMID 30666760›Full record

ArticleHuman brain mapping2019

Generalizing age effects on brain structure and cognition: A two-study comparison approach.

Christiane Jockwitz, Susan Mérillat, Franziskus Liem, Jessica Oschwald, Katrin Amunts, Svenja Caspers, Lutz Jäncke

Abstract readComparative Study
In one paragraph

Article in Human brain mapping, 2019. 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.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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

7 authors.

Christiane JockwitzInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany.ORCID 0000-0001-9332-7982
Susan MérillatUniversity Research Priority Program Dynamics of Healthy Aging, University of Zurich, Zurich, Switzerland.
Franziskus LiemUniversity Research Priority Program Dynamics of Healthy Aging, University of Zurich, Zurich, Switzerland.
Jessica OschwaldUniversity Research Priority Program Dynamics of Healthy Aging, University of Zurich, Zurich, Switzerland.
Katrin AmuntsInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany.
Svenja CaspersInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany.
Lutz JänckeUniversity Research Priority Program Dynamics of Healthy Aging, University of Zurich, Zurich, Switzerland.

Funding

European Union's Horizon 2020 Research and Innovation Programme (SGA1, SGA2) 720270European Union's Horizon 2020 Research and Innovation Programme (SGA1, SGA2) 785907Swiss National Foundation for Scientific Exchange 174247Velux Stiftung 369
6 · The paper itself

Abstract

Normal aging is accompanied by an interindividually variable decline in cognitive abilities and brain structure. This variability, in combination with methodical differences and differences in sample characteristics across studies, pose a major challenge for generalizability of results from different studies. Therefore, the current study aimed at cross-validating age-related differences in cognitive abilities and brain structure (measured using cortical thickness [CT]) in two large independent samples, each consisting of 228 healthy older adults aged between 65 and 85 years: the Longitudinal Healthy Aging Brain (LHAB) database (University of Zurich, Switzerland) and the 1000BRAINS (Research Centre Jülich, Germany). Participants from LHAB showed significantly higher education, physical well-being, and cognitive abilities (processing speed, concept shifting, reasoning, semantic verbal fluency, and vocabulary). In contrast, CT values were larger for participants of 1000BRAINS. Though, both samples showed highly similar age-related differences in both, cognitive abilities and CT. These effects were in accordance with functional aging theories, for example, posterior to anterior shift in aging as was shown for the default mode network. Thus, the current two-study approach provides evidence that independently on heterogeneous metrics of brain structure or cognition across studies, age-related effects on cognitive ability and brain structure can be generalized over different samples, assuming the same methodology is used.

Indexed as

NeuroimagingAgedAged, 80 and overAgingBrainCerebral CortexCognitionDatabases, FactualExecutive FunctionFemaleHumansLongitudinal StudiesMalePsychomotor PerformanceThinkingagingbrain structurecognition

Identifiers

PMID30666760
PMCPMC6590363

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.