Dataset Information

Individual Brain Charting dataset extension, second release of high-resolution fMRI data for cognitive mapping.

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.

SUBMITTER: Pinho AL

PROVIDER: S-EPMC7567863 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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Individual Brain Charting dataset extension, second release of high-resolution fMRI data for cognitive mapping.

Pinho Ana Luísa AL Amadon Alexis A Gauthier Baptiste B Clairis Nicolas N Knops André A Genon Sarah S Dohmatob Elvis E Torre Juan Jesús JJ Ginisty Chantal C Becuwe-Desmidt Séverine S Roger Séverine S Lecomte Yann Y Berland Valérie V Laurier Laurence L Joly-Testault Véronique V Médiouni-Cloarec Gaëlle G Doublé Christine C Martins Bernadette B Salmon Eric E Piazza Manuela M Melcher David D Pessiglione Mathias M van Wassenhove Virginie V Eger Evelyn E Varoquaux Gaël G Dehaene Stanislas S Hertz-Pannier Lucie L Thirion Bertrand B

Scientific data 20201016 1

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 dat ...[more]

PMID: 33067452

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Project description:Cognitive processes, such as the generation of language, can be mapped onto the brain using fMRI. These maps can in turn be used for decoding the respective processes from the brain activation patterns. Given individual variations in brain anatomy and organization, analyzes on the level of the single person are important to improve our understanding of how cognitive processes correspond to patterns of brain activity. They also allow to advance clinical applications of fMRI, because in the clinical setting making diagnoses for single cases is imperative. In the present study, we used mental imagery tasks to investigate language production, motor functions, visuo-spatial memory, face processing, and resting-state activity in a single person. Analysis methods were based on similarity metrics, including correlations between training and test data, as well as correlations with maps from the NeuroSynth meta-analysis. The goal was to make accurate predictions regarding the cognitive domain (e.g. language) and the specific content (e.g. animal names) of single 30-second blocks. Four teams used the dataset, each blinded regarding the true labels of the test data. Results showed that the similarity metrics allowed to reach the highest degrees of accuracy when predicting the cognitive domain of a block. Overall, 23 of the 25 test blocks could be correctly predicted by three of the four teams. Excluding the unspecific rest condition, up to 10 out of 20 blocks could be successfully decoded regarding their specific content. The study shows how the information contained in a single fMRI session and in each of its single blocks can allow to draw inferences about the cognitive processes an individual engaged in. Simple methods like correlations between blocks of fMRI data can serve as highly reliable approaches for cognitive decoding. We discuss the implications of our results in the context of clinical fMRI applications, with a focus on how decoding can support functional localization.

Dataset Information

Individual Brain Charting dataset extension, second release of high-resolution fMRI data for cognitive mapping.

Publications

Individual Brain Charting dataset extension, second release of high-resolution fMRI data for cognitive mapping.

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