Evidence map›Paper›PMID 25161056›Full record

ArticleHuman brain mapping2015

Brain size, sex, and the aging brain.

Lutz Jäncke, Susan Mérillat, Franziskus Liem, Jürgen Hänggi

Abstract read
In one paragraph

Article in Human brain mapping, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 2 pooled it
–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

78 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  16. Abnormalities in cerebellar subregions' volume and cerebellocerebral structural covariance in autism spectrum disorder.Autism research : official journal of the International Society for Autism Research · 2025
    Article
  17. Normative trajectories of RImaging neuroscience (Cambridge, Mass.) · 2025
    Article
  18. Article
  19. Sex Differences in Human Brain Structure at Birth.Biology of sex differences · 2024
    Article
  20. Article

18 more citing papers are in PubMed but not listed here.

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

4 authors.

Lutz JänckeDivision Neuropsychology, Institute of Psychology, University of Zurich, Switzerland; Center for Integrative Human Physiology, University of Zurich, Switzerland; International Normal Aging and Plasticity Imaging Center (INAPIC), University of Zurich, Switzerland; University Research Priority Program (URPP) "Dynamics of Healthy Aging", University of Zurich, Switzerland; Department of Special Education, King Abdulaziz University, Jeddah, Saudi Arabia.
Susan Mérillat
Franziskus Liem
Jürgen Hänggi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was conducted to examine the statistical influence of brain size on cortical, subcortical, and cerebellar compartmental volumes. This brain size influence was especially studied to delineate interactions with Sex and Age. Here, we studied 856 healthy subjects of which 533 are classified as young and 323 as old. Using an automated segmentation procedure cortical (gray and white matter [GM and WM] including the corpus callosum), cerebellar (GM and WM), and subcortical (thalamus, putamen, pallidum, caudatus, hippocampus, amygdala, and accumbens) volumes were measured and subjected to statistical analyses. These analyses revealed that brain size and age exert substantial statistical influences on nearly all compartmental volumes. Analyzing the raw compartmental volumes replicated the frequently reported Sex differences in compartmental volumes with men showing larger volumes. However, when statistically controlling for brain size Sex differences and Sex × Age interactions practically disappear. Thus, brain size is more important than Sex in explaining interindividual differences in compartmental volumes. The influence of brain size is discussed in the context of an allometric scaling of the compartmental volumes.

Indexed as

Sex CharacteristicsAdolescentAdultAgedAged, 80 and overAgingAnalysis of VarianceBrainFemaleFunctional LateralityGray MatterHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle Agedbrain sizemagnetic resonance imagingmorphometryneuroanatomysex differences

Identifiers

PMID25161056
PMCPMC6869393

What OpenQuestion holds

Textmetadata
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.