Evidence map›Paper›PMID 38839770›Full record

ArticleScientific data2024

Individual Brain Charting dataset extension, third release for movie watching and retinotopy data.

Ana Luísa Pinho, Hugo Richard, Ana Fernanda Ponce, Michael Eickenberg, Alexis Amadon, Elvis Dohmatob, Isabelle Denghien, Juan Jesús Torre, Swetha Shankar, Himanshu Aggarwal and 16 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
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

26 authors.

Ana Luísa PinhoUniversité Paris-Saclay, Inria, CEA, Palaiseau, 91120, France. agrilopi@uwo.ca.ORCID 0000-0001-8718-0902
Hugo RichardUniversité Paris-Saclay, Inria, CEA, Palaiseau, 91120, France.
Ana Fernanda PonceUniversité Paris-Saclay, Inria, CEA, Palaiseau, 91120, France.
Michael EickenbergUniversité Paris-Saclay, Inria, CEA, Palaiseau, 91120, France.
Alexis AmadonUniversité Paris-Saclay, CEA, CNRS, BAOBAB, NeuroSpin, 91191, Gif-sur-Yvette, France.ORCID 0000-0002-2667-9387
Elvis DohmatobUniversité Paris-Saclay, Inria, CEA, Palaiseau, 91120, France.
Isabelle DenghienCognitive Neuroimaging Unit, INSERM, CEA, Université Paris-Saclay, NeuroSpin center, 91191, Gif-sur-Yvette, France.
Juan Jesús TorreUniversité Paris-Saclay, Inria, CEA, Palaiseau, 91120, France.
Swetha ShankarUniversité Paris-Saclay, Inria, CEA, Palaiseau, 91120, France.
Himanshu AggarwalUniversité Paris-Saclay, Inria, CEA, Palaiseau, 91120, France.
Alexis ThualUniversité Paris-Saclay, Inria, CEA, Palaiseau, 91120, France.
Thomas ChapalainUniversité Paris-Saclay, Inria, CEA, Palaiseau, 91120, France.
Chantal GinistyCEA Saclay/DRF/IFJ/NeuroSpin/UNIACT, Paris, France.
Séverine Becuwe-DesmidtCEA Saclay/DRF/IFJ/NeuroSpin/UNIACT, Paris, France.
Séverine RogerCEA Saclay/DRF/IFJ/NeuroSpin/UNIACT, Paris, France.
Yann LecomteCEA Saclay/DRF/IFJ/NeuroSpin/UNIACT, Paris, France.
Valérie BerlandCEA Saclay/DRF/IFJ/NeuroSpin/UNIACT, Paris, France.
Laurence LaurierCEA Saclay/DRF/IFJ/NeuroSpin/UNIACT, Paris, France.
Véronique Joly-TestaultCEA Saclay/DRF/IFJ/NeuroSpin/UNIACT, Paris, France.
Gaëlle Médiouni-CloarecCEA Saclay/DRF/IFJ/NeuroSpin/UNIACT, Paris, France.
Christine DoubléCEA Saclay/DRF/IFJ/NeuroSpin/UNIACT, Paris, France.
Bernadette MartinsCEA Saclay/DRF/IFJ/NeuroSpin/UNIACT, Paris, France.
Gaël VaroquauxUniversité Paris-Saclay, Inria, CEA, Palaiseau, 91120, France.
Stanislas DehaeneCognitive Neuroimaging Unit, INSERM, CEA, Université Paris-Saclay, NeuroSpin center, 91191, Gif-sur-Yvette, France.
Lucie Hertz-PannierCEA Saclay/DRF/IFJ/NeuroSpin/UNIACT, Paris, France.
Bertrand ThirionUniversité Paris-Saclay, Inria, CEA, Palaiseau, 91120, France.ORCID 0000-0001-5018-7895

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Individual Brain Charting (IBC) is a multi-task functional Magnetic Resonance Imaging dataset acquired at high spatial-resolution and dedicated to the cognitive mapping of the human brain. It consists in the deep phenotyping of twelve individuals, covering a broad range of psychological domains suitable for functional-atlasing applications. Here, we present the inclusion of task data from both naturalistic stimuli and trial-based designs, to uncover structures of brain activation. We rely on the Fast Shared Response Model (FastSRM) to provide a data-driven solution for modelling naturalistic stimuli, typically containing many features. We show that data from left-out runs can be reconstructed using FastSRM, enabling the extraction of networks from the visual, auditory and language systems. We also present the topographic organization of the visual system through retinotopy. In total, six new tasks were added to IBC, wherein four trial-based retinotopic tasks contributed with a mapping of the visual field to the cortex. IBC is open access: source plus derivatives imaging data and meta-data are available in public repositories.

Indexed as

BrainBrain MappingMagnetic Resonance ImagingHumansMotion PicturesVisual Cortex

Identifiers

PMID38839770
PMCPMC11153490

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.