Caltech Conte Center, a multimodal data resource for exploring social cognition and decision-making. Kliemann, D., Adolphs, R., Armstrong, T., Galdi, P., Kahn, D. A., Rusch, T., Enkavi, A. Z., Liang, D., Lograsso, S., Zhu, W., Yu, R., Nair, R., Paul, L. K., & Tyszka, J. M. Scientific Data, 9(1):138, March, 2022. Publisher: Nature Publishing Group![Caltech Conte Center, a multimodal data resource for exploring social cognition and decision-making [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex This data release of 117 healthy community-dwelling adults provides multimodal high-quality neuroimaging and behavioral data for the investigation of brain-behavior relationships. We provide structural MRI, resting-state functional MRI, movie functional MRI, together with questionnaire-based and task-based psychological variables; many of the participants have multiple datasets from retesting over the course of several years. Our dataset is distinguished by utilizing open-source data formats and processing tools (BIDS, FreeSurfer, fMRIPrep, MRIQC), providing data that is thoroughly quality checked, preprocessed to various extents and available in multiple anatomical spaces. A customizable denoising pipeline is provided as open-source code that includes tools for the generation of functional connectivity matrices and initialization of individual difference analyses. Behavioral data include a comprehensive set of psychological assessments on gold-standard instruments encompassing cognitive function, mood and personality, together with exploratory factor analyses. The dataset provides an in-depth, multimodal resource for investigating associations between individual differences, brain structure and function, with a focus on the domains of social cognition and decision-making.
@article{kliemann_caltech_2022,
title = {Caltech {Conte} {Center}, a multimodal data resource for exploring social cognition and decision-making},
volume = {9},
copyright = {2022 The Author(s)},
issn = {2052-4463},
url = {https://www.nature.com/articles/s41597-022-01171-2},
doi = {10.1038/s41597-022-01171-2},
abstract = {This data release of 117 healthy community-dwelling adults provides multimodal high-quality neuroimaging and behavioral data for the investigation of brain-behavior relationships. We provide structural MRI, resting-state functional MRI, movie functional MRI, together with questionnaire-based and task-based psychological variables; many of the participants have multiple datasets from retesting over the course of several years. Our dataset is distinguished by utilizing open-source data formats and processing tools (BIDS, FreeSurfer, fMRIPrep, MRIQC), providing data that is thoroughly quality checked, preprocessed to various extents and available in multiple anatomical spaces. A customizable denoising pipeline is provided as open-source code that includes tools for the generation of functional connectivity matrices and initialization of individual difference analyses. Behavioral data include a comprehensive set of psychological assessments on gold-standard instruments encompassing cognitive function, mood and personality, together with exploratory factor analyses. The dataset provides an in-depth, multimodal resource for investigating associations between individual differences, brain structure and function, with a focus on the domains of social cognition and decision-making.},
language = {en},
number = {1},
urldate = {2024-11-11},
journal = {Scientific Data},
author = {Kliemann, Dorit and Adolphs, Ralph and Armstrong, Tim and Galdi, Paola and Kahn, David A. and Rusch, Tessa and Enkavi, A. Zeynep and Liang, Deuhua and Lograsso, Steven and Zhu, Wenying and Yu, Rona and Nair, Remya and Paul, Lynn K. and Tyszka, J. Michael},
month = mar,
year = {2022},
note = {Publisher: Nature Publishing Group},
keywords = {Cognitive neuroscience, Neuroscience},
pages = {138},
}
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