Identification of Clinical Features and Biomarkers that may inform a Personalized Approach to rTMS for Depression.

Autor:	Garnaat SL; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, 345 Blackstone Blvd., Providence, RI, 02906, USA.; Butler Hospital, Providence, RI, 345 Blackstone Blvd., Providence, RI, 02906, USA., Fukuda AM; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, 345 Blackstone Blvd., Providence, RI, 02906, USA.; Butler Hospital, Providence, RI, 345 Blackstone Blvd., Providence, RI, 02906, USA., Yuan S; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, 345 Blackstone Blvd., Providence, RI, 02906, USA.; Butler Hospital, Providence, RI, 345 Blackstone Blvd., Providence, RI, 02906, USA., Carpenter LL; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, 345 Blackstone Blvd., Providence, RI, 02906, USA.; Butler Hospital, Providence, RI, 345 Blackstone Blvd., Providence, RI, 02906, USA.
Jazyk:	angličtina
Zdroj:	Personalized medicine in psychiatry [Pers Med Psychiatry] 2019 Nov-Dec; Vol. 17-18, pp. 4-16. Date of Electronic Publication: 2019 Oct 18.
DOI:	10.1016/j.pmip.2019.09.001
Abstrakt:	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.
Databáze:	MEDLINE
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