Predicting rTMS Treatment Success for Depression Using Brain Connectivity
While repetitive transcranial magnetic stimulation (rTMS) is an effective therapy for TRD, it’s difficult to predict which patients will benefit most. To address this, finding biological markers (biomarkers) that can predict treatment response is a crucial goal for providing personalized care. This study used resting-state functional magnetic resonance imaging (fMRI) to explore brain activity patterns, aiming to discover neuroimaging biomarkers that can distinguish patients who will respond to rTMS from those who won’t.
rTMS & Depression: Are there other regions we should treat?
People with depression have altered activity in some parts of the brain. To treat depression, we can attempt to change this altered activity by using rTMS. However, the brain region we typically apply rTMS to only achieves remission rates of 30% to 35%. This has led researchers to explore alternative target regions that may result in a higher remission rate.
Measuring the coordination of brain regions can predict who will benefit from rTMS for depression
In this study, researchers propose a possible measurement that may be able to predict if an individual will positively respond to repetitive transcranial magnetic stimulation (rTMS) treatment.