Sarah L. Garnaat, Andrew M. Fukuda, Shiwen Yuan, Linda L. Carpenter
{"title":"确定临床特征和生物标志物,可能为抑郁症的rTMS个性化方法提供信息","authors":"Sarah L. Garnaat, Andrew M. Fukuda, Shiwen Yuan, Linda L. Carpenter","doi":"10.1016/j.pmip.2019.09.001","DOIUrl":null,"url":null,"abstract":"<div><p><span><span>Repetitive transcranial magnetic stimulation<span><span> (rTMS), an established treatment for treatment-resistant depression, may hold promise as a personalized medicine approach for the treatment of </span>major depressive disorder (MDD). </span></span>Clinical research has begun to identify patient-specific factors that could be used to guide rTMS treatment decisions or individualized treatment approaches. This literature review describes a range of patient factors which have been evaluated as potential biomarkers of rTMS treatment response, including patient- and illness-related characteristics, </span>genetic factors<span>, and biomarkers derived from neuroimaging and EEG. We highlight the need for validation data for imaging and electrophysiological biomarkers associated with rTMS as well as prospective evaluation of clinical predictors. Finally, we consider implications for future efforts to move toward a personalized medicine approach in the treatment of depression with rTMS.</span></p></div>","PeriodicalId":19837,"journal":{"name":"Personalized Medicine in Psychiatry","volume":"17 ","pages":"Pages 4-16"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.pmip.2019.09.001","citationCount":"19","resultStr":"{\"title\":\"Identification of clinical features and biomarkers that may inform a personalized approach to rTMS for depression\",\"authors\":\"Sarah L. Garnaat, Andrew M. Fukuda, Shiwen Yuan, Linda L. Carpenter\",\"doi\":\"10.1016/j.pmip.2019.09.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p><span><span>Repetitive transcranial magnetic stimulation<span><span> (rTMS), an established treatment for treatment-resistant depression, may hold promise as a personalized medicine approach for the treatment of </span>major depressive disorder (MDD). </span></span>Clinical research has begun to identify patient-specific factors that could be used to guide rTMS treatment decisions or individualized treatment approaches. This literature review describes a range of patient factors which have been evaluated as potential biomarkers of rTMS treatment response, including patient- and illness-related characteristics, </span>genetic factors<span>, and biomarkers derived from neuroimaging and EEG. We highlight the need for validation data for imaging and electrophysiological biomarkers associated with rTMS as well as prospective evaluation of clinical predictors. Finally, we consider implications for future efforts to move toward a personalized medicine approach in the treatment of depression with rTMS.</span></p></div>\",\"PeriodicalId\":19837,\"journal\":{\"name\":\"Personalized Medicine in Psychiatry\",\"volume\":\"17 \",\"pages\":\"Pages 4-16\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.pmip.2019.09.001\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Personalized Medicine in Psychiatry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2468171719300109\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Personalized Medicine in Psychiatry","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468171719300109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Identification of clinical features and biomarkers that may inform a personalized approach to rTMS for depression
Repetitive transcranial magnetic stimulation (rTMS), an established treatment for treatment-resistant depression, may hold promise as a personalized medicine approach for the treatment of major depressive disorder (MDD). Clinical research has begun to identify patient-specific factors that could be used to guide rTMS treatment decisions or individualized treatment approaches. This literature review describes a range of patient factors which have been evaluated as potential biomarkers of rTMS treatment response, including patient- and illness-related characteristics, genetic factors, and biomarkers derived from neuroimaging and EEG. We highlight the need for validation data for imaging and electrophysiological biomarkers associated with rTMS as well as prospective evaluation of clinical predictors. Finally, we consider implications for future efforts to move toward a personalized medicine approach in the treatment of depression with rTMS.