Ari Segel

Highlighting the strengths of new wearable fNIRS, precision accuracy microgenetic research designs, and new NeuroDOT processing algorithm to measure change over time in clinical populations for Speech-Language and Hearing Researchers

The paper demonstrates the use of wearable fNIRS and NeuroDOT processing to analyze cortical dynamics over time in a clinical population, showing changes in hemodynamic responses but no improvement in task accuracy.

Mapping brain function underlying naturalistic motor observation and imitation using high-density diffuse optical tomography

This study uses HD-DOT to examine brain activation during motor observation and imitation in autistic and non-autistic adults, finding task-specific MNS activation and associations with autistic traits.

Network level enrichment provides a framework for biological interpretation of machine learning results

This study applies machine learning to neuroimaging data to identify brain connectivity biomarkers linked to age, emphasizing the importance of accounting for family variance and using network enrichment for biological interpretation.