Evidence map›Paper›PMID 42393597›Full record

ArticleBMC pediatrics2026

Pediatric precision sleep network: a study protocol for identifying sleep signatures of mental health risk in peri-adolescents.

Amanda E Baker, Rebecca E Cooper, Daniel J Buysse, Alyna T Chien, Raul Gonzalez, Jessica C Levenson, Timothy Miller, Sara Rivero-Conil, David Seo, Shyam Visweswaran and 24 more

Abstract readClinical Trial Protocol
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Precision sleep signatures to predict mental health outcomes in youth.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

34 authors.

Amanda E BakerDepartment of Psychology, Florida International University, 11200 S.W. 8th Street, Miami, FL, 33199, USA. ambaker@fiu.edu.
Rebecca E CooperBoston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Daniel J BuysseUniversity of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Alyna T ChienBoston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Raul GonzalezDepartment of Psychology, Florida International University, 11200 S.W. 8th Street, Miami, FL, 33199, USA.
Jessica C LevensonUniversity of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Timothy MillerBoston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Sara Rivero-ConilNicklaus Children's Hospital, Miami, FL, USA.
David SeoNicklaus Children's Hospital, Miami, FL, USA.
Shyam VisweswaranUniversity of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Yanshan WangUniversity of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Allison CaswellUniversity of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Simey ChanUniversity of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Kelly ChiuBoston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Mary CorcoranBoston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Susan ChurchillNicklaus Children's Hospital, Miami, FL, USA.
Ronna CurrieUniversity of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Maurice DuqueNicklaus Children's Hospital, Miami, FL, USA.
Isabelle ElderBoston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Josefina FreitagNicklaus Children's Hospital, Miami, FL, USA.
Saurabh JadhavDepartment of Psychology, Florida International University, 11200 S.W. 8th Street, Miami, FL, 33199, USA.
Rebecca LockeBoston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Christopher MartinNicklaus Children's Hospital, Miami, FL, USA.
Maria MillaNicklaus Children's Hospital, Miami, FL, USA.
Rashmi SahasrabudheBoston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Soumya SatheBoston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Karoline ShellhauseUniversity of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Aishwarya SritharanDepartment of Psychology, Florida International University, 11200 S.W. 8th Street, Miami, FL, 33199, USA.
Jerrilyn RoblesBoston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Annette WernerUniversity of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Meredith J Wallace *University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Maria Jalbrzikowski *Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Dana L McMakin *Department of Psychology, Florida International University, 11200 S.W. 8th Street, Miami, FL, 33199, USA.
Adriane M Soehner *University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.

Funding

The Pediatric Precision Sleep NetworkU01MH136020 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JALBRZIKOWSKI, MARIA, MCMAKIN, DANA L · 2024 to 2025
$7.2M
NIMH NIH HHS U01 MH136020NIMH NIH HHS U01MH136020
6 · The paper itself

Abstract

backgroundPeri-adolescence (ages 10-13) is a sensitive-and clinically critical-developmental window for the emergence of psychiatric symptoms, yet scalable strategies for early risk detection in pediatric primary care (PPC) remain limited. Sleep disturbances are among the most prevalent, predictive, and modifiable indicators of youth mental health, but current pediatric assessments rely heavily on subjective, single-source reports that fail to capture the multidimensional nature of sleep health. The Pediatric Precision Sleep Network (PPSN) is a longitudinal, multi-site study designed to integrate multimodal sleep data with longitudinal clinical outcomes to improve early identification of psychiatric risk during peri-adolescence-a period marked by rapid changes in sleep-circadian biology and vulnerability to psychopathology.

methodsPPSN will enroll 1,200 youth ages 10-13 across three metropolitan areas (Pittsburgh, Boston, Miami). Over three years, participants will complete multimodal sleep assessments-including self-report, daily sleep logs, actigraphy, ambulatory electroencephalography (EEG), and passive smartphone-based monitoring-administered primarily at home to maximize ecological validity and reduce burden. Psychiatric symptoms and functioning will be assessed biannually via online surveys and electronic health records (EHRs), including structured fields and unstructured notes processed with natural language processing to extract sleep-related information. Scalable, open-source pipelines will automatically derive sleep features. Analyses will: (1) identify multivariable "sleep signatures"-defined as empirically derived patterns of sleep features across modalities-using factor and cluster methods; (2) evaluate their predictive utility for transdiagnostic mental health outcomes using stepwise machine learning approaches; and (3) examine developmental and contextual moderators (e.g., puberty and sociocultural factors). PPSN will also partner with the NIMH Individually Measured Phenotypes to Advance Computational Translation in Mental Health (IMPACT-MH) Data Coordinating Center to standardize procedures, ensure rigorous quality control, and disseminate open-source analytic tools for the broader research community. DISCUSSION: By integrating ecologically valid, longitudinal sleep monitoring with EHR-based and survey outcomes, PPSN aims to identify developmentally sensitive sleep signatures that could be translated into scalable screening tools for PPC. Embedding sleep-informed algorithms into primary care could improve precision and equity of early risk detection and inform future efforts aimed at earlier identification and monitoring of mental health risk in peri-adolescence.

Indexed as

Mental DisordersSleepSleep Wake DisordersActigraphyAdolescentChildElectroencephalographyFemaleHumansLongitudinal StudiesMaleMulticenter Studies as TopicPrimary Health CareRisk AssessmentSelf Reportelectronic health recordsmental healthpediatric primary careperi-adolescencepredictive modelingrisk stratificationSleep health

Identifiers

PMID42393597
PMCPMC13629040

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.