2020
Connectome-based models can predict early symptom improvement in major depressive disorder
Ju Y, Horien C, Chen W, Guo W, Lu X, Sun J, Dong Q, Liu B, Liu J, Yan D, Wang M, Zhang L, Guo H, Zhao F, Zhang Y, Shen X, Constable RT, Li L. Connectome-based models can predict early symptom improvement in major depressive disorder. Journal Of Affective Disorders 2020, 273: 442-452. PMID: 32560939, DOI: 10.1016/j.jad.2020.04.028.Peer-Reviewed Original ResearchConceptsMajor depressive disorderSymptom improvementAntidepressant treatmentMDD patientsDepressive disorderTreatment outcomesEarly symptom improvementIndividual therapeutic responseInitial MR scansUntreated MDD patientsResting-state functional connectivity patternsFirst-line treatmentThree-month time pointTime pointsAntidepressant treatment outcomeBaseline functional connectivityHamilton Rating ScaleSeverity of depressionResting-state connectivityFunctional connectivity patternsResting-state fMRI dataDifferent time pointsTherapeutic responseClinical practiceFunctional brain networks
2010
Examining antidepressant drug response by smoking status: why is it important and how often is it done?
Weinberger AH, McKee SA, Picciotto MR, Mazure CM. Examining antidepressant drug response by smoking status: why is it important and how often is it done? Journal Of Psychopharmacology 2010, 25: 1269-1276. PMID: 21169392, PMCID: PMC3256572, DOI: 10.1177/0269881110389347.Peer-Reviewed Original ResearchConceptsSmoking statusImpact of smokingEffect of smokingNeurobiology of depressionAntidepressant treatment outcomeAntidepressant drug responsePharmacological intervention studiesPharmacological trialsClinical trialsTreatment outcomesMEDLINE searchNicotine dependenceSmokingTargeted treatmentIntervention studiesTreatment studiesDrug responseDepressionOutcomesTreatment researchTrialsStatusTreatmentAntidepressantsPharmacotherapy
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