Evidence map›Paper›PMID 31734549›Full record

ArticleBehaviour research and therapy2019

Mapping infant neurodevelopmental precursors of mental disorders: How synthetic cohorts & computational approaches can be used to enhance prediction of early childhood psychopathology.

Joan Luby, Norrina Allen, Ryne Estabrook, Daniel S Pine, Cynthia Rogers, Sheila Krogh-Jespersen, Elizabeth S Norton, Lauren Wakschlag

Abstract read
In one paragraph

Article in Behaviour research and therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Neural Correlates of Novelty-Evoked Distress in 4-Month-Old Infants: A Synthetic Cohort Study.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Measuring PROMIS® Emotional Distress in Early Childhood.Journal of pediatric psychology · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

8 authors.

Joan LubyWashington University School of Medicine, 4444 Forest Park Avenue, St. Louis, MO, 63108, USA. Electronic address: lubyj@wustl.edu.
Norrina AllenNorthwestern University Feinberg School of Medicine & Institute for Innovations in Developmental Sciences, 633 N. St Clair, 19th Floor, Chicago, IL, 60611, USA.
Ryne EstabrookNorthwestern University Feinberg School of Medicine & Institute for Innovations in Developmental Sciences, 633 N. St Clair, 19th Floor, Chicago, IL, 60611, USA.
Daniel S PineNational Institute of Mental Health (NIMH) Intramural Research Program, Building 15K, Room 110, MSC 2670, Bethesda, MD, 20814, USA.
Cynthia RogersWashington University School of Medicine, 4444 Forest Park Avenue, St. Louis, MO, 63108, USA.
Sheila Krogh-JespersenNorthwestern University Feinberg School of Medicine & Institute for Innovations in Developmental Sciences, 633 N. St Clair, 19th Floor, Chicago, IL, 60611, USA.
Elizabeth S NortonNorthwestern University, Department of Communication Sciences and Disorders, 2240 Campus Drive, Evanston, IL, 60208, USA.
Lauren WakschlagNorthwestern University Feinberg School of Medicine & Institute for Innovations in Developmental Sciences, 633 N. St Clair, 19th Floor, Chicago, IL, 60611, USA.

Funding

fMRI Studies Of Pediatric Mood And Anxiety DisordersZIAMH002781 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI PINE, DANIEL · 2009 to 2025
$41.5M
Early Life Adversity, Biological Embedding, and Risk for Developmental Precursors of Mental DisordersR01MH113883 · NIMH · WASHINGTON UNIVERSITY · PI JOAN L. LUBY, Christopher Daniel Smyser · 2018 to 2026
$20.6M
NEUROIMAGING IN EARLY ONSET DEPRESSION: LONGITUDINAL ASSESSMENT OF BRAIN CHANGESR01MH090786 · NIMH · WASHINGTON UNIVERSITY · PI GILBERT, KIRSTEN, WHALEN, DIANA J · 2010 to 2025
$10.4M
Generating an Earlier Science of When to Worry: A Neurodevelopmental, Transactional Approach to Characterizing Irritability Patterns Beginning in InfancyR01MH107652 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI WAKSCHLAG, LAUREN S · 2016 to 2021
$4.0M
Dimensions of Early Temper Loss and Low Concern: Clinical Utility and MechanismsU01MH082830 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI WAKSCHLAG, LAUREN S · 2014 to 2018
$3.9M
The When to Worry about Language Study (W2W-L): Joint consideration of developmental patterning and neural substrates for enhancing earlyidentification of language impairmentR01DC016273 · NIDCD · NORTHWESTERN UNIVERSITY · PI NORTON, ELIZABETH SPENCER, WAKSCHLAG, LAUREN S · 2018 to 2022
$3.6M
Intramural NIH HHS ZIA MH002781NIDCD NIH HHS R01 DC016273NIMH NIH HHS R01 MH090786NIMH NIH HHS R01 MH107652NIMH NIH HHS R01 MH113883NIMH NIH HHS U01 MH082830
6 · The paper itself

Abstract

Bridging advances in neurodevelopmental assessment and the established onset of common psychopathologies in early childhood with epidemiological data science and computational methods holds much promise for identifying risk for mental disorders as early as infancy. In particular, we propose the development of a mental health risk algorithm for the early detection of mental disorders with the potential for high public health impact that applies and adapts methods innovated in and successfully applied to early detection of cardiovascular risk. Specifically, we propose methods to advance risk prediction of early developmental psychopathology by creating synthetic cohorts that contain complete behavioral and neural data in the first years of life, as the basis for a robust and generalizable risk algorithm. The application of computational approaches within synthetic cohorts, an approach increasingly applied in psychiatry, may be particularly well suited to advancing risk prediction in early childhood mental health. We propose new research directions using these methods to generate an early childhood mental health risk calculator that could significantly advance early mental health risk detection to direct preventive intervention and/or need for more intensive assessment within a pragmatic framework for maximal clinical utility. The availability of such a tool in early childhood, a period of high neuroplasticity, holds promise to reduce the burden of mental disorder by identifying risk early in the clinical sequence and delivering prevention that targets the neurodevelopmental vulnerability phase.

Indexed as

Child DevelopmentComputer SimulationEarly DiagnosisProdromal SymptomsAlgorithmsChild, PreschoolFemaleHumansInfantMaleMental DisordersRisk FactorsChild characteristicsComputational methodsDevelopmental psychopathologyRisk prediction

Identifiers

PMID31734549
PMCPMC7667707

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.