ArticleScientific data2020
Individual Brain Charting dataset extension, second release of high-resolution fMRI data for cognitive mapping.
Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Dense longitudinal neuroimaging reveals individual brain change trajectories.Trends in cognitive sciences · 2026Review
- Individual Brain Charting: fifth release of high-resolution fMRI data for cognitive mapping.Scientific data · 2026Article
- CNeuroMod-THINGS, a densely-sampled fMRI dataset for visual neuroscience.Scientific data · 2026Article
- Reconstructing brain causal dynamics for subject and task fingerprints using fMRI time-series data.Health information science and systems · 2025Article
- Survey on sampling conditioned brain images and imaging measures with generative models.Biomedical engineering letters · 2025Review
- A comparative machine learning study of schizophrenia biomarkers derived from functional connectivity.Scientific reports · 2025Article
- A hierarchical Bayesian brain parcellation framework for fusion of functional imaging datasets.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- SNAKE: A modular realistic fMRI data simulator from the space-time domain to k-space and back.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- A hierarchical atlas of the human cerebellum for functional precision mapping.Nature communications · 2024Article
- Individual Brain Charting dataset extension, third release for movie watching and retinotopy data.Scientific data · 2024Article
- A hierarchical atlas of the human cerebellum for functional precision mapping.bioRxiv : the preprint server for biology · 2024Article
- Should one go for individual- or group-level brain parcellations? A deep-phenotyping benchmark.Brain structure & function · 2024Article
- Predicting individual task contrasts from resting-state functional connectivity using a surface-based convolutional network.NeuroImage · 2022Article
- Scan Once, Analyse Many: Using Large Open-Access Neuroimaging Datasets to Understand the Brain.Neuroinformatics · 2022Article
- Article
- Beyond volumetry: Considering age-related changes in brain shape complexity using fractal dimensionality.Aging brain · 2021Article
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Authors and funding
28 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present an extension of the Individual Brain Charting dataset -a high spatial-resolution, multi-task, functional Magnetic Resonance Imaging dataset, intended to support the investigation on the functional principles governing cognition in the human brain. The concomitant data acquisition from the same 12 participants, in the same environment, allows to obtain in the long run finer cognitive topographies, free from inter-subject and inter-site variability. This second release provides more data from psychological domains present in the first release, and also yields data featuring new ones. It includes tasks on e.g. mental time travel, reward, theory-of-mind, pain, numerosity, self-reference effect and speech recognition. In total, 13 tasks with 86 contrasts were added to the dataset and 63 new components were included in the cognitive description of the ensuing contrasts. As the dataset becomes larger, the collection of the corresponding topographies becomes more comprehensive, leading to better brain-atlasing frameworks. This dataset is an open-access facility; raw data and derivatives are publicly available in neuroimaging repositories.
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