Evidence map›Paper›PMID 38769837›Full record

ArticleDevelopment and psychopathology2024

Integrating data science and neuroscience in developmental psychopathology: Formative examples and future directions.

Jamie L Hanson, Isabella Kahhalé, Sriparna Sen

Abstract read
In one paragraph

Article in Development and psychopathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Positive affect as a developmental mediator of early adversity and internalizing psychopathology.Journal of child psychology and psychiatry, and allied disciplines · 2026
    Article
  2. Article
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

3 authors.

Jamie L HansonDepartment of Psychology, University of Pittsburgh, Pittsburgh, PA, USA.ORCID https://orcid.org/0000-0002-0469-8886
Isabella KahhaléDepartment of Psychology, University of Pittsburgh, Pittsburgh, PA, USA.ORCID https://orcid.org/0000-0002-0963-9738
Sriparna SenDepartment of Psychology, University of Pittsburgh, Pittsburgh, PA, USA.

Funding

Investigating Links Between Racial and Ethnic Discrimination, Neurobiology, and Internalizing SymptomatologyR21MH128793 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HANSON, JAMIE LARS · 2022 to 2023
$398k
NIMH NIH HHS R21 MH128793
6 · The paper itself

Abstract

This commentary discusses opportunities for advancing the field of developmental psychopathology through the integration of data science and neuroscience approaches. We first review elements of our research program investigating how early life adversity shapes neurodevelopment and may convey risk for psychopathology. We then illustrate three ways that data science techniques (e.g., machine learning) can support developmental psychopathology research, such as by distinguishing between common and diverse developmental outcomes after stress exposure. Finally, we discuss logistical and conceptual refinements that may aid the field moving forward. Throughout the piece, we underscore the profound impact of Dr Dante Cicchetti, reflecting on how his work influenced our own, and gave rise to the field of developmental psychopathology.

Indexed as

Data ScienceNeurosciencesPsychopathologyAdverse Childhood ExperiencesChildChild DevelopmentHumansMachine LearningMental Disordersdata scienceearly life adversityneurobiologyneuroimagingstress

Identifiers

PMID38769837
PMCPMC11579249

What OpenQuestion holds

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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.