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

Dorit Kliemann, Ralph Adolphs*, Tim Armstrong, Paola Galdi, David A. Kahn, Tessa Rusch, A. Zeynep Enkavi, Deuhua Liang, Steven Lograsso, Wenying Zhu, Rona Yu, Remya Nair, Lynn K. Paul, J. Michael Tyszka

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

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.

Original languageEnglish
Article number138
Pages (from-to)1-15
Number of pages15
JournalScientific Data
Volume9
Issue number1
DOIs
Publication statusPublished - 31 Mar 2022

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