HIGHLIGHTS
- who: Michael E. Sughrue and Chuan He from the Hangzhou Normal, China have published the Article: Connectomic disturbances underlying insomnia disorder and predictors of treatment response, in the Journal: (JOURNAL)
- what: The authors applied a recently described machine_learning approach, Hollow Tree Super (HoTS) (Doyen et_al, 2021), specifically designed to handle high-dimensional functional connectivity fMRI data, to a clinical cohort of ID to investigate two clinically relevant questions.
- how: To classify patients with ID from healthy controls based on FC the authors used a machine_learning method to fit the model which was evaluated . . .
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