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High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
Published on: May 10, 2012
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Individual Brain Charting: fifth release of high-resolution fMRI data for cognitive mapping
Ana Fernanda Ponce1, Himanshu Aggarwal2, Swetha Shankar2
1Université Paris-Saclay, Inria, CEA, Palaiseau, 91120, France. ana.ponce-martinez@inria.fr.
Scientific Data
|March 4, 2026
Summary
The Individual Brain Charting project expands its functional Magnetic Resonance Imaging dataset with new cognitive tasks. This enhances individual brain mapping and cognitive phenotyping for research.
Area of Science:
- Neuroscience
- Cognitive Science
- Psychology
Background:
- The Individual Brain Charting project collects functional Magnetic Resonance Imaging (fMRI) data.
- The project aims for refined cognitive phenotyping and understanding individual brain functional organization.
- Standardized environments and fixed cohorts minimize variability.
Purpose of the Study:
- To present an extension to the Individual Brain Charting dataset.
- To integrate fMRI data from eleven new participants acquired at 3T.
- To enrich the dataset with diverse cognitive tasks and components.
Main Methods:
- Collected fMRI data from eleven participants using a standardized protocol.
- Included 18 new tasks covering mathematical processing, spatial navigation, emotion recognition, memory, and more.
- Added 180 contrasts and 54 cognitive components to the dataset.
Main Results:
- The dataset now includes a broader range of psychological domains.
- New cognitive tasks and components provide richer data for analysis.
- The expanded dataset facilitates more comprehensive brain-atlasing frameworks.
Conclusions:
- The extended dataset enhances the study of individual brain functional organization.
- Open-access data sharing promotes transparency and collaborative neuroscience research.
- This resource supports advanced cognitive phenotyping and brain mapping.
