Evidence map›Paper›PMID 29395939›Full record

ReviewDevelopmental cognitive neuroscience2018

Longitudinal modeling in developmental neuroimaging research: Common challenges, and solutions from developmental psychology.

Kevin M King, Andrew K Littlefield, Connor J McCabe, Kathryn L Mills, John Flournoy, Laurie Chassin

Erratum issuedAbstract readReview
In one paragraph

Review in Developmental cognitive neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 pooled it
–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

65 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Maternal Childhood Maltreatment, Development of Amygdala Volume, and Anxiety Symptoms in Offspring.Journal of the American Academy of Child and Adolescent Psychiatry · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Longitudinal analysis of the ABCD® study.Developmental cognitive neuroscience · 2025
    Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Early Life Adversity Predicts Reduced Hippocampal Volume in the Adolescent Brain Cognitive Development Study.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

5 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Kevin M KingUniversity of Washington, United States. Electronic address: kingkm@uw.edu.
Andrew K LittlefieldTexas Tech University, United States.
Connor J McCabeUniversity of Washington, United States.
Kathryn L MillsUniversity of Oregon, United States.
John FlournoyUniversity of Oregon, United States.
Laurie ChassinArizona State University, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypotheses about change over time are central to informing our understanding of development. Developmental neuroscience is at critical juncture: although the majority of longitudinal imaging studies have observations with two time points, researchers are increasingly obtaining three or more observations of the same individuals. The goals of the proposed manuscript are to draw upon the long history of methodological and applied literature on longitudinal statistical models to summarize common problems and issues that arise in their use. We also provide suggestions and solutions to improve the design, analysis and interpretation of longitudinal data, and discuss the importance of matching the theory of change with the appropriate statistical model used to test the theory. Researchers should articulate a clear theory of change and to design studies to capture that change and use appropriately sensitive measures to assess that change during development. Simulated data are used to demonstrate several common analytic approaches to longitudinal analyses. We provide the code for our simulations and figures in an online supplement to aid researchers in exploring and plotting their data. We provide brief examples of best practices for reporting such models. Finally, we clarify common misunderstandings in the application and interpretation of these analytic approaches.

Indexed as

HumansLongitudinal StudiesNeuroimagingPsychology, DevelopmentalChange over timeGrowth curve modelsLongitudinal methods

Identifiers

PMID29395939
PMCPMC6969276

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.