ArticleNeuroImage2016
The Pediatric Imaging, Neurocognition, and Genetics (PING) Data Repository.
Article in NeuroImage, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 195 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
195 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The Relationship Between Family History of Depression and Brain Structure and Function: A Systematic Review of Large Cohorts.Biological psychiatry · 2026Pooled it
- The Genetic Architecture of the Human Corpus Callosum and its Subregions.Nature communications · 2025Pooled it
- Executive functions as a transdiagnostic endophenotype in developmental psychopathology.Molecular psychiatry · 2026Review
- Benchmarking Generalizability in Deep Learning-Based White Matter Tract Segmentation.bioRxiv : the preprint server for biology · 2026Article
- Application of artificial intelligence in paediatric oncology imaging.Pediatric radiology · 2026Review
- NeuroLangSeg: Language-Guided Subcortical Segmentation with Pseudo-Supervision and Anatomical-Linguistic Validation.Proceedings of machine learning research · 2026Article
- BIBSNet: A deep learning baby image brain segmentation network for MRI scans.Developmental cognitive neuroscience · 2026Article
- Lifespan normative modeling of brain microstructure.Nature communications · 2026Article
- Brain age prediction in generalized anxiety disorder using a convolutional neural network.Translational psychiatry · 2026Article
- Dense longitudinal neuroimaging reveals individual brain change trajectories.Trends in cognitive sciences · 2026Review
- A generalizable foundation model for analysis of human brain MRI.Nature neuroscience · 2026Article
- Postnatal interaction of size and shape in the human endocranium and brain structures.Journal of anatomy · 2026Article
- The ASPIRE Research Institute Dataset: Building a Foundation for Brain Health Research in the United Arab Emirates.Scientific data · 2026Article
- Considerations for conducting developmental neuroimaging research on mental health topics.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Review
- Associations between mathematical skills and white matter microstructure in children born preterm.Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence · 2026Article
- Upper Airway Volume Predicts Brain Structure and Cognition in Adolescents.American journal of respiratory and critical care medicine · 2025Article
- Lifespan Normative Modeling of Brain Microstructure.bioRxiv : the preprint server for biology · 2025Article
- Characterizing long-term neurocognitive outcomes through diffusion tensor imaging in childhood brain tumor survivors.Neuro-oncology · 2025Article
- Missing data approaches for longitudinal neuroimaging research: Examples from the Adolescent Brain and Cognitive Development (ABCD) Study®.Developmental cognitive neuroscience · 2025Review
- Charting brain functional development from birth to 6 years of age.Nature human behaviour · 2025Article
135 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
28 authors.
Funding
Abstract
The main objective of the multi-site Pediatric Imaging, Neurocognition, and Genetics (PING) study was to create a large repository of standardized measurements of behavioral and imaging phenotypes accompanied by whole genome genotyping acquired from typically-developing children varying widely in age (3 to 20 years). This cross-sectional study produced sharable data from 1493 children, and these data have been described in several publications focusing on brain and cognitive development. Researchers may gain access to these data by applying for an account on the PING portal and filing a data use agreement. Here we describe the recruiting and screening of the children and give a brief overview of the assessments performed, the imaging methods applied, the genetic data produced, and the numbers of cases for whom different data types are available. We also cite sources of more detailed information about the methods and data. Finally we describe the procedures for accessing the data and for using the PING data exploration portal.
Indexed as
Identifiers
What OpenQuestion holds
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.