Brook Juliette B H, Salo Taylor, Luo Audrey C, Bagautdinova Joëlle, Rush Sage, Alexander-Bloch Aaron F, Baller Erica B, Calkins Monica E, Cieslak Matt, Cooper Elena C, Detre John A, Elliot Mark A, Fair Damien A, Freedman Phoebe, Gehrman Philip R, Gur Ruben C, Gur Raquel E, Klein Arno, Laney Nina, Laumann Timothy O, Mehta Kahini, Merikangas Kathleen, Milham Michael P, Mitchell Jonathan A, Moore Tyler M, Nelson Steven M, Ruparel Kosha, Sevchik Brooke L, Shanmugan Sheila, Shou Haochang, Taso Manuel, White Lauren K, Wolf Daniel H, Tisdall M Dylan, Roalf David R, Satterthwaite Theodore D
Department of Psychiatry, University of Pennsylvania, Philadelphia, PA.
Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Philadelphia, PA.
bioRxiv. 2025 May 14:2025.05.01.651544. doi: 10.1101/2025.05.01.651544.
Brain development during adolescence and early adulthood coincides with shifts in emotion regulation and sleep. Despite this, few existing datasets simultaneously characterize affective dynamics, sleep variation, and multimodal measures of brain development. Here, we describe the study protocol and initial release (n = 10) of an open data resource of neuroimaging paired with densely sampled behavioral measures in adolescents and young adults. All participants complete multi-echo functional MRI, compressed-sensing diffusion MRI, and advanced arterial spin-labeled MRI. Behavioral measures include ecological momentary assessment, actigraphy, extensive cognitive assessments, and detailed clinical phenotyping focused on emotion regulation. Raw and processed data are openly available without a data use agreement and will be regularly updated as accrual continues. Together, this resource will accelerate research on the links between mood, sleep, and brain development.
青少年期和成年早期的大脑发育与情绪调节和睡眠的变化同时发生。尽管如此,现有的数据集很少能同时刻画情感动态、睡眠变化以及大脑发育的多模态测量。在此,我们描述了一项针对青少年和青年的神经成像开放数据资源的研究方案及初始版本(n = 10),该资源还配有密集采样的行为测量数据。所有参与者均完成多回波功能磁共振成像、压缩感知扩散磁共振成像以及先进的动脉自旋标记磁共振成像。行为测量包括生态瞬时评估、活动记录仪监测、广泛的认知评估以及专注于情绪调节的详细临床表型分析。原始数据和处理后的数据无需数据使用协议即可公开获取,并将随着数据积累持续定期更新。总之,这一资源将加速对情绪、睡眠和大脑发育之间联系的研究。
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