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.

Fig. 1

Global quality indices of the acquired data: tSNR map and motion magnitude distribution. (a) The tSNR map displays the average of tSNR across all tasks and subjects. This shows values mostly between 30 and 70, with larger tSNR in cortical regions, except for the bottom of the cerebellum, that was acquired at a lesser extent in this data release. (b) Density of within-run motion parameters, pooled across subjects and tasks. Six distributions are plotted, for the six rigid-body parameter of head motion (translations and rotations are in mm and degrees, respectively). Each distribution is based on ∼101k EPI volumes of 11 subjects, corresponding to all time frames for all acquisitions and subjects. Bold lines below indicate the 99% coverage of all distributions and show that motion parameters mostly remain confined to 1.5 mm/1degree across 99% of all acquired images.

Fig. 2

Overview of the information conveyed by the activation maps resulting from a first-level analysis. (a) Effects of subject, experimental condition and phase-encoding direction. A per-voxel ANOVA breaks the variance of the set of brain maps into subject, experimental condition, and phase-encoding direction related effects. All maps are given in z-scale and thresholded at an FDR level of 0.05. We note that these results strictly follow the gray-matter structure, as an anatomically-defined gray-matter mask was used in the first-level GLM model (see Section “Model Estimation”). (b) The similarity between condition-related activation maps, averaged across subjects (left), is related to the similarity of the same conditions, when these are characterized in terms of the Cognitive Atlas (right).

Fig. 3

Brain coverage of the IBC-dataset second-release. Group-level F-map, at a threshold of p < 0.05, Bonferroni-corrected, representing the total area of the brain significantly covered by the tasks featuring solely the second release of the IBC dataset (FFX across tasks and subjects). One can easily observe an extensive brain coverage, with higher effects in lateral cortical areas by comparison with medial cortical areas and sub-cortical areas. We note that these results strictly follow the gray-matter structure, as an anatomically-defined gray-matter mask was used in the first-level GLM model (see Section “Model Estimation”).