Evidence map›Paper›PMID 41258571›Full record

ArticleCerebellum (London, England)2025

Biological Age Prediction of the Cerebellar Vermis in the Human Lifespan.

Sadegh Ghaderi, Sana Mohammadi, Minoo Sisakhti, Seyed Amir Hossein Batouli

Abstract read
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In one paragraph

Article in Cerebellum (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sadegh Ghaderi *Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran. s_ghaderi@razi.tums.ac.ir.ORCID http://orcid.org/0000-0003-1334-8826
Sana Mohammadi *Neuromuscular Research Center, Department of Neurology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0000-0002-2286-9052
Minoo SisakhtiDepartment of Cognitive Psychology, Institute for Cognitive Sciences Studies, Tehran, Iran.ORCID http://orcid.org/0000-0001-7284-397X
Seyed Amir Hossein BatouliDepartment of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0000-0002-9157-4522

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cerebellar vermis undergoes diverse structural changes with aging, yet region-specific aging patterns remain underexplored. Using Brain Structure Age (BSA), a deep learning biomarker from structural magnetic resonance imaging (MRI), we aimed to: (1) evaluate effects of volume, BMI, and education on vermis aging; (2) examine sex differences; and (3) analyze aging trajectories across young (20-39), middle-aged (40-59), and older adults (≥ 60). A cross-sectional study of 245 healthy participants from the Iranian Brain Imaging Database utilized high-resolution 3D T1-weighted images from a 3T MRI with a 64-channel coil. We calculated BSA and cerebellar vermis subregional volumes (lobules I-V, VI-VII, VIII-X). ANCOVA models examined the impact of age group, sex, BMI, education, and vermis volume on biological age, with Bonferroni-adjusted post hoc comparisons. The results revealed robust age-dependent gradients, with posterior lobules VIII-X showing the steepest decline (adjusted R

Indexed as

AgingCerebellar VermisLongevityAdultAgedCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedYoung AdultAgingBiological AgingCerebellumStructural MRIVermis

Identifiers

What Socratic 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 Socratic graph.