Individual Brain Charting dataset extension: second and third releases
By Ana Luísa Pinho, Inria Saclay Île-De-France, Paris-Saclay, France
Theme: Open Data 2.0
Format: Lightning talk
Abstract
We present an extension of the Individual Brain Charting (IBC) dataset –an open-access, high spatial-resolution, multitask-fMRI dataset. It is intended to support the investigation on the functional principles governing cognition in the human brain and boost the development of brain-atlasing frameworks. Data are acquired from a permanent cohort (n=12) in the same environment, in order to obtain finer cognitive topographies, free from inter-subject and inter-site variability. The second release includes new tasks on e.g. "mental-time travel", "reward", "theory-of-mind", "pain", "numerosity", "self-reference effect" and "speech recognition". They provide data featuring new psychological domains as well as data from psychological domains already covered in the first release. The dataset currently encompasses 25 tasks --most of them reproduced from previous studies-- and they amount for 205 contrasts described on the basis of 113 cognitive concepts, extracted from the Cognitive Atlas. Additionally, we also present the third release; it pertains to complex and continuous stimuli tackling the visual system and, here, we show the benefits of integrating task data concerning different experimental designs, namely temporal-models designs and naturalistic ones. Source data and derivatives are available in OpenNeuro (ds002685) and NeuroVault (id=6618), respectively. These derivatives refer to smoothed and unthresholded contrast z-maps and they reveal all together a comprehensive brain coverage of regions engaged in cognitive processes as well as a successful encoding of the functional networks reported by the original studies. Besides, the new tasks complement the already existing ones such that a considerable overlap of cognitive concepts is attained, at the same time that new concepts are introduced. As the dataset becomes larger and the collection of concepts gets richer, we show that finer elementary topographies associated with such concepts can be obtained, thus, improving the atlasing of mental functions.
Contributions to this work can be addressed during the virtual poster session of 2020 OHBM ANNUAL MEETING (Poster title: IBC dataset extension, second release of high-resolution fMRI data for cognitive mapping) as well as in the repositories hbp-brain-charting/public_protocols and hbp-brain-charting/public_analysis_code on GitHub.
Individual Brain Charting dataset extension: second and third releases
By Ana Luísa Pinho, Inria Saclay Île-De-France, Paris-Saclay, France
Abstract
We present an extension of the Individual Brain Charting (IBC) dataset –an open-access, high spatial-resolution, multitask-fMRI dataset. It is intended to support the investigation on the functional principles governing cognition in the human brain and boost the development of brain-atlasing frameworks. Data are acquired from a permanent cohort (n=12) in the same environment, in order to obtain finer cognitive topographies, free from inter-subject and inter-site variability. The second release includes new tasks on e.g. "mental-time travel", "reward", "theory-of-mind", "pain", "numerosity", "self-reference effect" and "speech recognition". They provide data featuring new psychological domains as well as data from psychological domains already covered in the first release. The dataset currently encompasses 25 tasks --most of them reproduced from previous studies-- and they amount for 205 contrasts described on the basis of 113 cognitive concepts, extracted from the Cognitive Atlas. Additionally, we also present the third release; it pertains to complex and continuous stimuli tackling the visual system and, here, we show the benefits of integrating task data concerning different experimental designs, namely temporal-models designs and naturalistic ones. Source data and derivatives are available in OpenNeuro (ds002685) and NeuroVault (id=6618), respectively. These derivatives refer to smoothed and unthresholded contrast z-maps and they reveal all together a comprehensive brain coverage of regions engaged in cognitive processes as well as a successful encoding of the functional networks reported by the original studies. Besides, the new tasks complement the already existing ones such that a considerable overlap of cognitive concepts is attained, at the same time that new concepts are introduced. As the dataset becomes larger and the collection of concepts gets richer, we show that finer elementary topographies associated with such concepts can be obtained, thus, improving the atlasing of mental functions.
Contributions to this work can be addressed during the virtual poster session of 2020 OHBM ANNUAL MEETING (Poster title: IBC dataset extension, second release of high-resolution fMRI data for cognitive mapping) as well as in the repositories
hbp-brain-charting/public_protocols
andhbp-brain-charting/public_analysis_code
on GitHub.Useful Links
https://doi.org/10.18112/openneuro.ds002685.v1.0.0 https://identifiers.org/neurovault.collection:6618
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