Université Paris-Saclay, Inria, CEA, Palaiseau, 91120, France.
Department of Computer Science, Western University, London, Ontario, Canada.
Sci Data. 2024 Jun 5;11(1):590. doi: 10.1038/s41597-024-03390-1.
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.
个体脑图谱(IBC)是一个多任务功能磁共振成像数据集,具有高空间分辨率,专门用于人类大脑的认知映射。它包括对 12 个人的深度表型分析,涵盖了广泛的适合功能图谱应用的心理领域。在这里,我们引入了来自自然刺激和基于试验设计的任务数据,以揭示大脑激活的结构。我们依赖 Fast Shared Response Model(FastSRM)为建模自然刺激提供数据驱动的解决方案,因为自然刺激通常包含许多特征。我们展示了可以使用 FastSRM 重建来自遗漏运行的数据,从而可以从视觉、听觉和语言系统中提取网络。我们还通过视网膜映射呈现了视觉系统的拓扑组织。总的来说,IBC 增加了六个新的任务,其中四个基于试验的视网膜任务有助于将视野映射到皮层。IBC 是开放获取的:源数据及其衍生成像数据和元数据都可以在公共存储库中获取。