COFITAGE: open longitudinal brain-ageing dataset for adults aged 50–70
COFITAGE is an open-access dataset from 101 community-dwelling adults aged 50–69 at baseline, combining MRI, amyloid PET, sleep, genetic and neuropsychological data, with a 2-year cognitive follow-up in 66 participants. [1]
Automatic summary · not editorially reviewed
The key findings
The baseline cohort comprised 101 community-dwelling participants aged 50–69 who underwent 3T MRI and amyloid-β PET, with a subset also receiving [18F]THK-5351 PET. [1]
66 participants underwent a 2-year cognitive follow-up, enabling longitudinal analyses of cognitive trajectories. [1]
All data are distributed in a BIDS-compliant format and released open-access via EBRAINS. [1]
The source at a glance
- Study type / format
- Open-access multimodal longitudinal dataset from a cohort study (abstract).
- Population / context
- 101 community-dwelling adults aged 50–69 at baseline (described as 50–70 in the key points).
- Summary based on
- Study abstract
- Publication status
- Preprint · peer-review status not confirmed
- Original publication
- August 27, 2026
Baseline imaging and phenotyping of 101 adults
The baseline cohort comprised 101 community-dwelling participants aged 50–69. They underwent 3T MRI, including high-resolution structural T1- and T2-weighted imaging, quantitative multi-parametric acquisitions with B1 mapping, and multi-shell diffusion-weighted imaging. All participants also had PET with the amyloid-β tracers [18F]Flutemetamol or [18F]Florbetapir, and a subset additionally had [18F]THK-5351 PET, described as tau-related/neuroinflammation. Phenotypic data included sleep and neuropsychological assessments, plus genotype data from genome-wide analysis.
Supporting source [1]
Two-year cognitive follow-up in 66 participants
Of the baseline cohort, 66 participants underwent a 2-year cognitive follow-up, which the source says enables longitudinal analyses of cognitive trajectories. Data acquisition and curation used standardized procedures with systematic quality control, intended to support reliable cross-sectional and longitudinal analyses. The source presents the dataset as a resource for studying early alterations and later progression in brain ageing; it does not report cognitive outcomes or compare groups.
Supporting source [1]
Open BIDS data for multimodal brain-ageing analyses
All data are distributed in a BIDS-compliant format and released open-access via EBRAINS. The source lists potential applications: comparing models to derive (semi)quantitative MRI parameters, discovering imaging biomarkers associated with early cognitive decline, and monitoring or predicting brain-ageing progression. It also notes focused coverage of adults aged 50–70, a group it says is often underrepresented in existing public datasets of healthy subjects. These are described uses of the dataset, not results of analyses.
Supporting source [1]
How to interpret this
Abstract only; the full text was not reviewed. The source describes a dataset and its potential applications but reports no analysis results, effect estimates or comparisons. The 2-year follow-up covered 66 of 101 participants, and the source gives no reasons for the missing follow-up.
Based on the study abstract; the full paper, tables and supplementary data were not reviewed.
Source & supporting passages
Jacquemin A, Huang J, Beliy N, Degueldre C, Meyer F, Chylinski D, Narbutas J, Van Egroo M, Salmon E, Talwar P, Collette F, Vandewalle G, Bastin C, Bahri MA, Phillips C. · europepmc.org · August 27, 2026