Individualized Precision Targeting Of Dorsal Attention And Default Mode Networks With Rtms In Traumatic Brain Injury-associated Depression

This article explores the differences between potential target sites generated using individualized RSNM (RSNM-based targets), standard anatomical methods (structural targets), and the point of maximal anti-correlation with the group-mean location of the sgACC (sgACC-derived targets). Additionally, the connectivity changes induced by stimulation of RSNM-based targets in a recent pilot clinical trial are explored. It is hypothesized that RSNM-based targets would approximate the sgACC connectivity profile more reliably than a group-based sgACC seed, and that connectivity changes would be observed in the targeted networks, that these connectivity changes would covary with antidepressant response, and that antidepressant response would be predicted by baseline sgACC connectivity.