Use of clinical neurophysiology for the selection of medication in the treatment of major depressive disorder: the state of the evidence

scientific article published on April 2009

Use of clinical neurophysiology for the selection of medication in the treatment of major depressive disorder: the state of the evidence is …
instance of (P31):
review articleQ7318358
scholarly articleQ13442814

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P356DOI10.1177/155005940904000207
P698PubMed publication ID19534301
P5875ResearchGate publication ID26299359

P2093author name stringAndrew F Leuchter
Ian A Cook
Aimee Hunter
Alex Korb
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P433issue2
P407language of work or nameEnglishQ1860
P921main subjectmajor depressive disorderQ42844
neurophysiologyQ660910
P304page(s)78-83
P577publication date2009-04-01
P1433published inClinical EEG and NeuroscienceQ15750908
P1476titleUse of clinical neurophysiology for the selection of medication in the treatment of major depressive disorder: the state of the evidence
P478volume40

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cites work (P2860)
Q47910495Alpha Wavelet Power as a Biomarker of Antidepressant Treatment Response in Bipolar Depression.
Q27307952Data mining EEG signals in depression for their diagnostic value
Q61448877Leveraging Machine Learning Approaches for Predicting Antidepressant Treatment Response Using Electroencephalography (EEG) and Clinical Data
Q30411170Prediction of long-term treatment response to selective serotonin reuptake inhibitors (SSRIs) using scalp and source loudness dependence of auditory evoked potentials (LDAEP) analysis in patients with major depressive disorder
Q48317822QEEG Theta Cordance in the Prediction of Treatment Outcome to Prefrontal Repetitive Transcranial Magnetic Stimulation or Venlafaxine ER in Patients With Major Depressive Disorder.
Q28267032Subanesthetic dose of ketamine decreases prefrontal theta cordance in healthy volunteers: implications for antidepressant effect
Q48339743TMS by double-cone coil prefrontal stimulation for medication resistant chronic depression: a case report

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