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.
Highlights
Background & SummaryUnderstanding the fundamental principles that govern human cognition requires mapping the brain in terms of functional segregation of specialized regions
The average ± SD across participants for the two tasks are 76 ± 13% and, higher than chance level (50%)
The average ± SD across participants are 74 ± 16%, i.e. higher than chance level (50%)
Summary
Understanding the fundamental principles that govern human cognition requires mapping the brain in terms of functional segregation of specialized regions. The Human Connectome Project (HCP)[10,11] and CONNECT/Archi[12,13] datasets provide large subject samples as they are focused in population analysis across different modalities; task-fMRI data combine here 24 and 28 conditions, respectively, which is scarce for functional atlasing. Data collection from a broad range of tasks, at high spatial resolution, yields a sharp characterization of the neurocognitive components common to the different tasks This extension corresponds to the second release of the IBC dataset, meant to increase the number of psychological domains of the first one[19]. The IBC dataset is an open-access facility devoted to providing high-resolution, functional maps of individual brains as basis to support investigations in human cognition
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