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- W4362733893 abstract "Repetitive transcranial magnetic stimulation (rTMS) is an effective treatment for depression and has been shown to modulate resting-state functional connectivity (RSFC) of depression-relevant circuits. To date, however, few studies have investigated whether individual treatment-related symptom changes are predictable from pretreatment RSFC. We use machine learning to predict dimensional changes in depressive symptoms using pretreatment patterns of RSFC." @default.
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- W4362733893 date "2023-05-01" @default.
- W4362733893 modified "2023-09-27" @default.
- W4362733893 title "28. Dimensional Antidepressant Response to Repetitive Transcranial Magnetic Stimulation can be Predicted Using Pretreatment Resting-State Functional Connectivity" @default.
- W4362733893 doi "https://doi.org/10.1016/j.biopsych.2023.02.211" @default.
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