Publications by authors named "Igor Duarte Rodrigues"
Article Synopsis
- Diagnosing Autism Spectrum Disorder (ASD) currently relies on lengthy behavioral assessments, but there's a push to find brain imaging biomarkers to speed up this process, particularly through machine learning techniques using resting-state fMRI (rs-fMRI) data.
- A systematic review and meta-analysis of 55 studies found that the overall sensitivity and specificity of machine learning classifiers, notably the Support Vector Machine (SVM), were around 74%, with larger samples often resulting in lower accuracy rates.
- Combining rs-fMRI data with other brain imaging or phenotypic information showed improved sensitivity, but the analysis highlights the need for further research to validate these findings before implementing these classification methods in clinical practice.
