Individual Brain Charting, a high-resolution fMRI dataset for cognitive mapping

Abstract

Functional Magnetic Resonance Imaging (fMRI) has furthered brain mapping on perceptual, motor, as well as higher-level cognitive functions. However, to date, no data collection has systematically addressed the functional mapping of cognitive mechanisms at a fine spatial scale. The Individual Brain Charting (IBC) project stands for a high-resolution multi-task fMRI dataset that intends to provide the objective basis toward a comprehensive functional atlas of the human brain. The data refer to a cohort of 12 participants performing many different tasks. The large amount of task-fMRI data on the same subjects yields a precise mapping of the underlying functions, free from both inter-subject and inter-site variability. The present article gives a detailed description of the first release of the IBC dataset. It comprises a dozen of tasks, addressing both low- and high- level cognitive functions. This openly available dataset is thus intended to become a reference for cognitive brain mapping.

Imaging-based parcellations of the human brain

“…Furthermore, a fundamental limitation of meta-analysis is the spatial blurring that is inherent to combining participants from studies across different labs and coordinate systems. Therefore, extensive recordings of activation recording (that is, deep phenotyping) in a small number of participants 40 and extensive aggregation of activation studies are highly complementary.…”

NeuroQuery, comprehensive meta-analysis of human brain mapping

“…As an example, consider again the contrast from the RSVP language task [Pinho et al, 2018, Humphries et al, 2006 in the Individual Brain Charting (IBC) dataset, shown in Fig. 2.…”

“…Indeed, we lack the tools to parse the text in articles and reliably identify those that relate to equivalent or very similar contrasts. As an example, consider a study of the neural support of translating orthography to phonology, probed with visual stimuli by Pinho et al [2018]. The results of this study build upon an experimental contrast labeled by the authors as "Read pseudo-words vs. consonant strings", shown in Fig.…”

Optimizing deep video representation to match brain activity

“…These data are part of a large-scale mapping project on a limited number of participants, called Human Brain Charting. Data acquisition procedures and initial experiments run in this project are described in (Pinho et al, 2018). In order to link extracted deep video features to the internal representation of videos in each subject we use a simple linear model to fit their brain activity in each voxel.…”