<p>What happens in the brain to cause many neurodevelopmental disorders, including autism spectrum disorder (ASD), remains a mystery. A major limitation for researchers is the lack of biomarkers, or objective biological outputs, for these disorders, and in the case of ASD, for specific subtypes of disease. Now, a <a href="https://doi.org/10.1016/j.biopsych.2023.09.012">new study</a> uses brain imaging and machine learning to identify altered functional brain connectivity (FC) in people with ASD – importantly, taking into consideration differences between individuals. The study appears in <a href="http://www.sobp.org/journal"><em>Biological Psychiatry</em></a>, published by Elsevier.</p>