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Caltech Conte Center, a multimodal data resource for exploring social cognition and decision-making

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 (2022) Caltech Conte Center, a multimodal data resource for exploring social cognition and decision-making. Scientific Data, 9 . Art. No. 138. ISSN 2052-4463. PMCID PMC8971509. doi:10.1038/s41597-022-01171-2. https://resolver.caltech.edu/CaltechAUTHORS:20220405-887324800

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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.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1038/s41597-022-01171-2DOIArticle
https://github.com/adolphslab/ConteDataReleaseRelated ItemCode
https://github.com/adolphslab/rsDenoiseRelated ItemCode
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971509/PubMed CentralArticle
ORCID:
AuthorORCID
Kliemann, Dorit0000-0003-2069-919X
Adolphs, Ralph0000-0002-8053-9692
Galdi, Paola0000-0003-4556-6799
Kahn, David A.0000-0002-0157-0369
Rusch, Tessa0000-0002-5445-6885
Enkavi, A. Zeynep0000-0001-7040-3620
Liang, Deuhua0000-0003-4794-0270
Lograsso, Steven0000-0002-8639-6653
Nair, Remya0000-0002-8526-7948
Paul, Lynn K.0000-0002-3128-8313
Tyszka, J. Michael0000-0001-9342-9014
Additional Information:© The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. Received 11 November 2021; Accepted 18 January 2022; Published 31 March 2022. Conceptualization (DK, RA, RN, LKP, JMT), Data Curation (DK, PG, DAK, TR, AZE, DL, SL, WZ, RN, JMT), Formal analysis (DK, TA, PG, RLY, LKP, JMT), Funding Acquisition (RA, LKP, JMT), Data Collection (DK, TA, RN, JMT), Protocol/Task Implementation (TA, JMT, LKP), Recruitment & Enrollment (TA, LKP), Project administration & Supervision (DK, RA, RN, LKP, JMT), Writing of the manuscript (DK, RA, TA, PG, DAK, TR, AZE, DL, SL, WZ, RLY, RN, LKP, JMT). Given the complex set of contributions from many authors, we provide a figure in the supplementary material (Figure S1) to summarize their contributions. Contributions reflect the organization of the Caltech Conte Center, with R.A. as director, R.N. as staff responsible for NIH-compliant data-sharing, L.K.P. as PI of a Psychological Assessment Core, and J.M.T. as PI of a Neuroimaging Core. Other notable contributions were essentially all in-person subject testing by T.A., and generation of the denoising code we are sharing here (rsDenoise) by P.G.. These authors jointly supervised this work: Remya Nair, Lynn K. Paul, J. Michael Tyszka. Contributions: Given the complex set of contributions from many authors, we provide the figure below (Figure S1) to summarize their contributions. Contributions reflect the organization of the Caltech Conte Center, with R.A. as director, R.N. as staff responsible for NIH-compliant data-sharing, L.K.P. as PI of a Psychological Assessment Core, and J.M.T. as PI of a Neuroimaging Core. Other notable contributions were essentially all in-person subject testing by T.A. and generation of the denoising code we are sharing here (rsDenoise) by P.G. The authors declare no competing interests. Code availability: We used containerized versions of fMRIPrep 20.2.1 and MRIQC for data preprocessing and quality control. Example calling scripts for fMRIPrep, jupyter lab notebooks for figure recreation and R code for the example factor analysis are provided at https://github.com/adolphslab/ConteDataRelease. The code to reproduce resting-state and movie analyses are provided at https://github.com/adolphslab/rsDenoise. As outlined in detail in the source, this codebase can easily be adapted to run many different configurations of denoising decisions on the data.
Group:Tianqiao and Chrissy Chen Institute for Neuroscience
Funders:
Funding AgencyGrant Number
NIHP50 MH094258
Subject Keywords:Cognitive neuroscience; Neuroscience
PubMed Central ID:PMC8971509
DOI:10.1038/s41597-022-01171-2
Record Number:CaltechAUTHORS:20220405-887324800
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20220405-887324800
Official Citation:Kliemann, D., Adolphs, R., Armstrong, T. et al. Caltech Conte Center, a multimodal data resource for exploring social cognition and decision-making. Sci Data 9, 138 (2022). https://doi.org/10.1038/s41597-022-01171-2
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:114152
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:06 Apr 2022 15:59
Last Modified:25 Apr 2022 18:43

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