ArticleJournal of autism and developmental disorders2023
Volumetric Analysis of Amygdala and Hippocampal Subfields for Infants with Autism.
Article in Journal of autism and developmental disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 20 citations in OpenAlex.
- Oxytocin and RAGE signaling at the intersection of social neurodevelopment and inflammation.Journal of translational medicine · 2026Review
- Autism Spectrum Disorder-Associated Genes Enrich in Discrete Cortical, Limbic and Cerebellar Brain Regions.The European journal of neuroscience · 2026Article
- Surface expansion regionalization of the hippocampus in early brain development.Developmental cognitive neuroscience · 2026Article
- Trajectories of hippocampal subregion development in the first years of life and their association with school-aged episodic memory outcomes.bioRxiv : the preprint server for biology · 2026Article
- Amygdala and hippocampal contributions to broad autism phenotype: Project Ice Storm.Translational psychiatry · 2026Article
- Age-related volumetric differences of hippocampal subfields in the developing brain: a retrospective MRI study.Brain structure & function · 2026Article
- Subcortical brain volume variations in autistic individuals across the lifespan.Molecular autism · 2025Article
- Research progress on hippocampal neurogenesis in autism spectrum disorder.Pediatric investigation · 2024Review
- Deep Canonical Correlation Fusion Algorithm Based on Denoising Autoencoder for ASD Diagnosis and Pathogenic Brain Region Identification.Interdisciplinary sciences, computational life sciences · 2024Article
- Exploring the most discriminative brain structural abnormalities in ASD with multi-stage progressive feature refinement approach.Frontiers in psychiatry · 2024Article
- Application of Multimodal MRI in the Early Diagnosis of Autism Spectrum Disorders: A Review.Diagnostics (Basel, Switzerland) · 2023Review
- Molecular Abnormalities in BTBR Mice and Their Relevance to Schizophrenia and Autism Spectrum Disorders: An Overview of Transcriptomic and Proteomic Studies.Biomedicines · 2023Article
- Relational memory weakness in autism despite the use of a controlled encoding task.Frontiers in psychology · 2023Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 3 countries.
Funding
Abstract
Previous studies have demonstrated abnormal brain overgrowth in children with autism spectrum disorder (ASD), but the development of specific brain regions, such as the amygdala and hippocampal subfields in infants, is incompletely documented. To address this issue, we performed the first MRI study of amygdala and hippocampal subfields in infants from 6 to 24 months of age using a longitudinal dataset. A novel deep learning approach, Dilated-Dense U-Net, was proposed to address the challenge of low tissue contrast and small structural size of these subfields. We performed a volume-based analysis on the segmentation results. Our results show that infants who were later diagnosed with ASD had larger left and right volumes of amygdala and hippocampal subfields than typically developing controls.
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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.