An open, fully-processed data resource for studying mood and sleep variability in the developing brain

Brain development during adolescence and early adulthood coincides with shifts in emotion regulation and sleep. Despite this co-occurrence, very 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 densely sampled behavioral measures and neuroimaging in adolescents and young adults. Behavioral measures include ecological momentary assessment, actigraphy, extensive cognitive assessments, and detailed clinical phenotyping focused on emotion regulation. All participants also complete multi-echo functional MRI, compressed-sensing diffusion MRI, and advanced arterial spin-labeled MRI. All 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.

Authors

Institutions

Publication Details

Journal
Aperture Neuro
Published
2026-01-26
DOI
https://doi.org/10.52294/001c.151820
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An open, fully-processed data resource for studying mood and sleep variability in the developing brain

Juliette B. H. Brook, RC Gur, Mitchell Ja, Elena C. Cooper et al.
Aperture Neuro
Functional Brain Connectivity Studies
article

An open, fully-processed data resource for studying mood and sleep variability in the developing brain

Juliette B. H. Brook, RC Gur, Mitchell Ja, Elena C. Cooper, Sheila Shanmugan, Audrey C. Luo, Joëlle Bagautdinova, Damien A. Fair, T. C. Moore, Haochang Shou, Kahini Mehta, Philip Gehrman, Timothy O. Laumann, Erica B. Baller, Manuel Taso, Kathleen Merikangas, Lauren White, Matt Cieslak, Brooke L. Sevchik, Arno Klein, Taylor Salo, John A. Detre, Aaron F. Alexander-Bloch, Kosha Ruparel, Theodore D. Satterthwaite, Mark A. Elliott, M. Dylan Tisdall, Steven M. Nelson, Michael P. Milham, Phoebe Freedman, Nina Laney, Sage Rush, Daniel H. Wolf
article en

Abstract

Brain development during adolescence and early adulthood coincides with shifts in emotion regulation and sleep. Despite this co-occurrence, very 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 densely sampled behavioral measures and neuroimaging in adolescents and young adults. Behavioral measures include ecological momentary assessment, actigraphy, extensive cognitive assessments, and detailed clinical phenotyping focused on emotion regulation. All participants also complete multi-echo functional MRI, compressed-sensing diffusion MRI, and advanced arterial spin-labeled MRI. All 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.

Aperture NeuroVol. 6(SI 1)
Nathan Kline Institute for Psychiatric Research (US), Children's Hospital of Philadelphia (US), Washington University in St. Louis (US), University of Minnesota System (US), California University of Pennsylvania (US), Child Mind Institute (US), Siemens (United States) (US), Columbia University (US)
Brain and Behavior Research Foundation, University of Pennsylvania, Perelman School of Medicine, University of Pennsylvania
Partnerships for the goals
Openalex Percentile: Top 78%
Functional Brain Connectivity Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.