A Personalized Autism Diagnosis CAD System Using a Fusion of Structural MRI and Resting-State Functional MRI Data.
Computer-Added Diagnostics (CAD) systems
autism
functional magnetic resonance imaging
machine learning
personalized diagnosis
structural magnetic resonance imaging
Journal
Frontiers in psychiatry
ISSN: 1664-0640
Titre abrégé: Front Psychiatry
Pays: Switzerland
ID NLM: 101545006
Informations de publication
Date de publication:
2019
2019
Historique:
received:
24
11
2018
accepted:
17
05
2019
entrez:
24
7
2019
pubmed:
25
7
2019
medline:
25
7
2019
Statut:
epublish
Résumé
Autism spectrum disorder is a neuro-developmental disorder that affects the social abilities of the patients. Yet, the gold standard of autism diagnosis is the autism diagnostic observation schedule (ADOS). In this study, we are implementing a computer-aided diagnosis system that utilizes structural MRI (sMRI) and resting-state functional MRI (fMRI) to demonstrate that both anatomical abnormalities and functional connectivity abnormalities have high prediction ability of autism. The proposed system studies how the anatomical and functional connectivity metrics provide an overall diagnosis of whether the subject is autistic or not and are correlated with ADOS scores. The system provides a personalized report per subject to show what areas are more affected by autism-related impairment. Our system achieved accuracies of 75% when using fMRI data only, 79% when using sMRI data only, and 81% when fusing both together. Such a system achieves an important next step towards delineating the neurocircuits responsible for the autism diagnosis and hence may provide better options for physicians in devising personalized treatment plans.
Identifiants
pubmed: 31333507
doi: 10.3389/fpsyt.2019.00392
pmc: PMC6620533
doi:
Types de publication
Journal Article
Langues
eng
Pagination
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