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  • 标题:Caltech Conte Center, a multimodal data resource for exploring social cognition and decision-making
  • 本地全文:下载
  • 作者:Dorit Kliemann ; Ralph adolphs ; tim armstrong
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2022
  • 卷号:9
  • 期号:1
  • 页码:1-15
  • DOI:10.1038/s41597-022-01171-2
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要: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 diference 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 diferences, brain structure and function, with a focus on the domains of social cognition and decision-making .
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