Article

Prediction of response to transcranial magnetic stimulation treatment for depression using electroencephalography and statistical learning methods, including an out-of-sample validation

2023-10-25

Abstract excerpt

<h4>Background</h4> Repetitive transcranial magnetic stimulation (rTMS) has shown efficacy for treating depression, but not for all patients. Accurate treatment response prediction could lower treatment burden. Research suggests machine learning trained with electroencephalographic (EEG) data may predict response, but only a limited range of measures have been tested. <h4>Objectives</h4> We used >7000 time-series...

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Literature Corpus work: ab9d7561-4c0a-57ff-846b-d734fdc559dd
DOI: 10.1101/2023.10.24.23297492

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Prediction of response to transcranial magnetic stimulation treatment for depression using electroencephalography and statistical learning methods, including an out-of-sample validationDOI 10.1101/2023.10.24.23297492Read

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