From heterogeneity to translation: data‑driven subtyping of autism in a multilevel framework.
Advances in data-driven approaches to parsing ASD heterogeneity are synthesized and a simple one-to-one correspondence between behavioral and neural subtypes are argued; instead, the evidence is more consistent with multi-to-one, one-to-many, or many-to-many mappings that converge on the overall functional impairment.