… selection is a key challenge in personalized depression treatment. This work identifies …
are categorized into those with a previously known neurophysiological role in MDD and …

… direction prediction between antidepressants and rTMS is consistent with our previous work
… in the iSPOT-D study predicted better treatment outcome with antidepressant treatment 47 , …

… depressive symptoms, although additional investigations of the underlying neural mechanisms
and the prediction of response … shown promise in predicting antidepressant response to a …

… that attempt to predict treatment response based on various … that use brain activity data to
predict treatment response. Our … in predicting ketamine (rapid antidepressant) response. The …

… (ECT), not all TRD patients adequately respond, and we are presently unable to a … predict
who will respond or not respond to ketamine. Therefore, antidepressant treatment response …

… revealed outstanding results for personalized prediction of antidepressant response. …
may aid the development of personalized medicine for medication-refractory depression. …

… considered neurophysiological markers … predicted clinical response to duloxetine [28]. The
association between increased RSFC in the striatum and treatment resistance to both SSRIs …

… MRI to predict single-subject response to antidepressant treatment in patients with MDD. …
, which is heterogeneous in both its clinical and neurophysiological manifestation 63,64 . Thus, …

… Introduction: The prediction of antidepressant treatment response may improve outcome…
depressive disorder (MDD) may reveal regional brain function serving as predictors of response …

… that leveraged neurophysiological and neuroimaging markers to predict rTMS response in
MDD. … Thus, accurately predicting the antidepressant efficacy of rTMS could speed treatment …