Autism spectrum disorder: does neuroimaging support the DSM-5 proposal for a symptom dyad? A systematic review of functional magnetic resonance imaging and diffusion tensor imaging studies.

Seiverling et al. (2012) hunted for brain-scan papers that match the DSM-5 two-domain idea for autism.

They kept only studies that used fMRI or DTI and that linked results to social-communication problems or restricted/repetitive behaviors.

The team then asked: do the brain pictures line up with the new two-bucket symptom list?

The review found only partial support. Some brain networks looked different in autism, but the fit with the two-domain model was loose and messy.

In plain words, the scans do not clearly split symptoms into just two neat piles.

Cauda et al. (2017) pooled many MRI studies and saw that autism, schizophrenia, and OCD all share similar gray- and white-matter changes. This wider overlap clashes with Laura’s hope for autism-specific brain marks, yet both papers agree that clear borders are missing.

Saghazadeh et al. (2017) add a blood angle: BDNF levels are slightly higher in autism. Their biomarker signal is modest, just like the brain-image signal Laura found—both tools are weak on their own.

Lee et al. (2024) used network math and showed that irritability and core autism traits run in separate loops. This supports Laura’s warning: squashing everything into two domains may hide real sub-groups.

For BCBAs, the takeaway is caution. Brain scans may someday help clarify diagnosis, but today they are too fuzzy to guide treatment choices. Keep using solid behavioral assessments and skill-based goals. If a family brings scan results to the table, praise their effort, then pivot back to what the child actually does each day.