{"url":"/dataset/ibc","name":"IBC","full_name":"Individual Brain Charting","description_markdown":"The Individual Brain Charting (IBC) project aims at providing a new generation of functional-brain atlases. To map cognitive mechanisms in a fine scale, task-fMRI data at high-spatial-resolution are being acquired on a fixed cohort of 12 participants, while performing many different tasks. These data—free from both inter-subject and inter-site variability—are publicly available as means to support the investigation of functional segregation and connectivity as well as individual variability with a view to establishing a better link between brain systems and behavior.\r\n\r\n** What’s special about the IBC dataset?**\r\n\r\n* Taskwise dataset: spanning the cognitive spectrum within subject\r\n* Fixed cohort over a 10-year span to minimize inter-subject variability\r\n* Fixed experimental setting to minimize inter-site variability\r\n* Multimodal: fMRI (task-based and resting state), DWI, structural\r\n\r\n** Main characteristics **\r\n\r\n* 12 healthy participants (aged 27-40 at the time of recruitment)\r\n* Spatial resolution: 1.5mm (isotropic); Temporal resolution: 2s\r\n* Scanner: Siemens 3T Magnetom Prisma; Coil: 64-channel\r\n* 50 acquisitions per participant upon completion of the dataset in 2022","description_withheld":null,"homepage":"https://project.inria.fr/IBC/ibc-in-a-nutshell/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/an-empirical-evaluation-of-functional","title":"An empirical evaluation of functional alignment using inter-subject decoding","first_author":"Thomas Bazeille","url":null},"license":null,"modalities":[{"name":"Medical","url":"/datasets/modality/medical"},{"name":"fMRI","url":"/datasets/modality/fmri"},{"name":"MRI","url":"/datasets/modality/mri"}],"tasks":[],"languages":[],"variants":["IBC"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}