ArticleScientific reports2017
Multi-scale radiomic analysis of sub-cortical regions in MRI related to autism, gender and age.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.
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Who cites it
41 citing papers in PubMed, 3 syntheses or guidelines pooled it, 70 citations in OpenAlex.
- Diagnostic performance of MRI radiomics for classification of Alzheimer's disease, mild cognitive impairment, and normal subjects: a systematic review and meta-analysis.Aging clinical and experimental research · 2023Pooled it
- A Systematic Review of Brainstem Contributions to Autism Spectrum Disorder.Frontiers in integrative neuroscience · 2021Pooled it
- Computer vision in autism spectrum disorder research: a systematic review of published studies from 2009 to 2019.Translational psychiatry · 2020Pooled it
- A probabilistic deep learning approach for choroid plexus segmentation in autism spectrum disorder.NPP - digital psychiatry and neuroscience · 2026Article
- AI-driven neuroanalytic modeling for mental health: multichannel CNN-based autism spectrum disorder detection via facial pattern analysis.Frontiers in computational neuroscience · 2026Article
- Automated synthetic contrast-enhanced MRI improves choroid plexus segmentation in Parkinsonian syndromes.Radiology advances · 2025Article
- Review
- Leveraging TabTransformer Deep Learning on Conventional MRI Radiomics for Accessible and Interpretable Diagnosis of Autism Spectrum Disorder.Neuropsychiatric disease and treatment · 2025Article
- Can optic nerve morphology in children with autism spectrum disorder be associated with atypical visual-sensory behaviors?Frontiers in psychiatry · 2025Article
- Identification of texture MRI brain abnormalities on Fibromyalgia syndrome using interpretable machine learning models.Scientific reports · 2024Article
- Association of Plasma Markers of Alzheimer's Disease, Neurodegeneration, and Neuroinflammation with the Choroid Plexus Integrity in Aging.Aging and disease · 2024Article
- Abnormal multimodal neuroimaging patterns associated with social deficits in male autism spectrum disorder.Human brain mapping · 2024Article
- Article
- Interoception in Autism: A Narrative Review of Behavioral and Neurobiological Data.Psychology research and behavior management · 2024Review
- Radiomics; A Potential Next "Omics" in Psychiatric Disorders; An Introduction.Psychiatry investigation · 2023Article
- Diffusion radiomics for subtyping and clustering in autism spectrum disorder: A preclinical study.Magnetic resonance imaging · 2023Article
- Amygdala's T1-weighted image radiomics outperforms volume for differentiation of anxiety disorder and its subtype.Frontiers in psychiatry · 2023Article
- Torasemide Improves the Propionic Acid-Induced Autism in Rats: A Histopathological and Imaging Study.Alpha psychiatry · 2023Article
- Evaluation of the corpus callosum using magnetic resonance imaging histogram analysis in autism spectrum disorder.The neuroradiology journal · 2022Article
- Identification of texture MRI brain abnormalities on first-episode psychosis and clinical high-risk subjects using explainable artificial intelligence.Translational psychiatry · 2022Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We propose using multi-scale image textures to investigate links between neuroanatomical regions and clinical variables in MRI. Texture features are derived at multiple scales of resolution based on the Laplacian-of-Gaussian (LoG) filter. Three quantifier functions (Average, Standard Deviation and Entropy) are used to summarize texture statistics within standard, automatically segmented neuroanatomical regions. Significance tests are performed to identify regional texture differences between ASD vs. TDC and male vs. female groups, as well as correlations with age (corrected p < 0.05). The open-access brain imaging data exchange (ABIDE) brain MRI dataset is used to evaluate texture features derived from 31 brain regions from 1112 subjects including 573 typically developing control (TDC, 99 females, 474 males) and 539 Autism spectrum disorder (ASD, 65 female and 474 male) subjects. Statistically significant texture differences between ASD vs. TDC groups are identified asymmetrically in the right hippocampus, left choroid-plexus and corpus callosum (CC), and symmetrically in the cerebellar white matter. Sex-related texture differences in TDC subjects are found in primarily in the left amygdala, left cerebellar white matter, and brain stem. Correlations between age and texture in TDC subjects are found in the thalamus-proper, caudate and pallidum, most exhibiting bilateral symmetry.
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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.