ArticleScientific data2022
A longitudinal resource for studying connectome development and its psychiatric associations during childhood.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
What it found
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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.
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Who cites it
32 citing papers in PubMed, 49 citations in OpenAlex.
- Lifespan trajectories of the brain's functional complexity characterized by multiscale sample entropy.NeuroImage · 2026Article
- Investigating the Contribution of Molecular-Enriched Functional Connectivity to Brain-Age Analysis.Human brain mapping · 2026Article
- Research Review: A scoping review exploring the needs, barriers, and facilitators to the collection of biological data in adolescence for mental health research.Journal of child psychology and psychiatry, and allied disciplines · 2026Review
- A longitudinal resource for mapping interindividual variation in the aging connectome.Scientific data · 2026Article
- Multiscale brain development across the human lifespan.Communications biology · 2026Review
- A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning.Scientific data · 2026Article
- High prevalence of CNS-directed autoantibodies in patients with schizophrenia.bioRxiv : the preprint server for biology · 2026Article
- Article
- MIND versus MSN: A systematic evaluation of test-retest reliability and age sensitivity for T1-weighted structural similarity networks.Network neuroscience (Cambridge, Mass.) · 2026Article
- Considerations for conducting developmental neuroimaging research on mental health topics.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Review
- Article
- An Open, Fully-processed, Longitudinal Data Resource to Study Brain Development and Transdiagnostic Executive Function.bioRxiv : the preprint server for biology · 2025Article
- Investigating the Contribution of Molecular-Enriched Functional Connectivity to Brain-Age Analysis.bioRxiv : the preprint server for biology · 2025Article
- An open, longitudinal resource for mapping interindividual variation in the aging connectome.medRxiv : the preprint server for health sciences · 2025Article
- Directory of Public Datasets for Youth Mental Health to Enhance Research Through Data, Accessibility, and Artificial Intelligence: Scoping Review.JMIR mental health · 2025Article
- GTV delineating for patients with postoperative glioma based on enhanced T2-FLAIR sequence instead of enhanced T1-TFE sequence: a feasibility study.Discover oncology · 2025Article
- Common and unique network basis for externally and internally driven flexibility in cognition: From a developmental perspective.Developmental cognitive neuroscience · 2025Article
- Indicators of resource scarcity differentially moderate the impact of threat exposure on psychopathology in a cross-sectional community sample of youth.Frontiers in child and adolescent psychiatry · 2025Article
- Inter-Software Consistency on the Estimation of Subcortical Structure Volume in Different Age Groups.Human brain mapping · 2024Article
- Personality traits as predictors of depression across the lifespan.Journal of affective disorders · 2024Article
Corrections and comments
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Authors and funding
18 authors at 4 institutions in 1 country.
Funding
Abstract
Most psychiatric disorders are chronic, associated with high levels of disability and distress, and present during pediatric development. Scientific innovation increasingly allows researchers to probe brain-behavior relationships in the developing human. As a result, ambitions to (1) establish normative pediatric brain development trajectories akin to growth curves, (2) characterize reliable metrics for distinguishing illness, and (3) develop clinically useful tools to assist in the diagnosis and management of mental health and learning disorders have gained significant momentum. To this end, the NKI-Rockland Sample initiative was created to probe lifespan development as a large-scale multimodal dataset. The NKI-Rockland Sample Longitudinal Discovery of Brain Development Trajectories substudy (N = 369) is a 24- to 30-month multi-cohort longitudinal pediatric investigation (ages 6.0-17.0 at enrollment) carried out in a community-ascertained sample. Data include psychiatric diagnostic, medical, behavioral, and cognitive phenotyping, as well as multimodal brain imaging (resting fMRI, diffusion MRI, morphometric MRI, arterial spin labeling), genetics, and actigraphy. Herein, we present the rationale, design, and implementation of the Longitudinal Discovery of Brain Development Trajectories protocol.
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Registered trials
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.