SynthesisNeuroImage. Clinical2015
Multivariate analyses applied to fetal, neonatal and pediatric MRI of neurodevelopmental disorders.
Synthesis in NeuroImage. Clinical, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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.
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.
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Who cites it
16 citing papers in PubMed, 25 citations in OpenAlex.
- Structural pathways related to the subventricular zone are decreased in volume with altered microstructure in young adult males with autism spectrum disorder.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Pre-autism: What a paediatrician should know about early diagnosis of autism.World journal of clinical pediatrics · 2023Review
- A Brain Morphometry Study with Across-Site Harmonization Using a ComBat-Generalized Additive Model in Children and Adolescents.Diagnostics (Basel, Switzerland) · 2023Article
- Unsupervised abnormality detection in neonatal MRI brain scans using deep learning.Scientific reports · 2023Article
- Review of deep learning and artificial intelligence models in fetal brain magnetic resonance imaging.World journal of clinical cases · 2023Review
- Artificial intelligence and its impact on the domains of universal health coverage, health emergencies and health promotion: An overview of systematic reviews.International journal of medical informatics · 2022Review
- Integration of structural MRI and epigenetic analyses hint at linked cellular defects of the subventricular zone and insular cortex in autism: Findings from a case study.Frontiers in neuroscience · 2022Article
- Multivariate models of brain volume for identification of children and adolescents with fetal alcohol spectrum disorder.Human brain mapping · 2020Article
- Fetal Brain Abnormality Classification from MRI Images of Different Gestational Age.Brain sciences · 2019Article
- Review
- Resting-state functional MRI studies on infant brains: A decade of gap-filling efforts.NeuroImage · 2019Review
- Early prediction of cognitive deficits in very preterm infants using functional connectome data in an artificial neural network framework.NeuroImage. Clinical · 2018Article
- Evaluation of methods for volumetric analysis of pediatric brain data: The childNeuroImage. Clinical · 2018Article
- Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.NeuroImage · 2017Review
- Multivariate Analysis and Machine Learning in Cerebral Palsy Research.Frontiers in neurology · 2017Review
- Multivariate characterization of white matter heterogeneity in autism spectrum disorder.NeuroImage. Clinical · 2017Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Multivariate analysis (MVA) is a class of statistical and pattern recognition methods that involve the processing of data that contains multiple measurements per sample. MVA can be used to address a wide variety of medical neuroimaging-related challenges including identifying variables associated with a measure of clinical importance (i.e. patient outcome), creating diagnostic tests, assisting in characterizing developmental disorders, understanding disease etiology, development and progression, assisting in treatment monitoring and much more. Compared to adults, imaging of developing immature brains has attracted less attention from MVA researchers. However, remarkable MVA research growth has occurred in recent years. This paper presents the results of a systematic review of the literature focusing on MVA technologies applied to neurodevelopmental disorders in fetal, neonatal and pediatric magnetic resonance imaging (MRI) of the brain. The goal of this manuscript is to provide a concise review of the state of the scientific literature on studies employing brain MRI and MVA in a pre-adult population. Neurological developmental disorders addressed in the MVA research contained in this review include autism spectrum disorder, attention deficit hyperactivity disorder, epilepsy, schizophrenia and more. While the results of this review demonstrate considerable interest from the scientific community in applications of MVA technologies in pediatric/neonatal/fetal brain MRI, the field is still young and considerable research growth remains ahead of us.
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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.