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Facial EMG activity levels predict treatment outcome in depression
dc.contributor.authorGreden, John F.en_US
dc.contributor.authorPrice, H. Laurenceen_US
dc.contributor.authorGenero, Nancyen_US
dc.contributor.authorFeinberg, Michaelen_US
dc.contributor.authorLevine, Simonen_US
dc.date.accessioned2006-04-07T18:16:50Z
dc.date.available2006-04-07T18:16:50Z
dc.date.issued1984-12en_US
dc.identifier.citationGreden, John F., Price, H. Laurence, Genero, Nancy, Feinberg, Michael, Levine, Simon (1984/12)."Facial EMG activity levels predict treatment outcome in depression." Psychiatry Research 13(4): 345-352. <http://hdl.handle.net/2027.42/24620>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6TBV-46041P0-CP/2/2c6ef1bc869182b7185d34b5a418b0c2en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/24620
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=6596590&dopt=citationen_US
dc.description.abstractHigher electromyographic (EMG) activity levels of corrugator and zygomatic face muscles have been reported to be pretreatment predictors of better clinical outcome in depressed patients. We tested this possibility in 29 drug-free, rigorously diagnosed subjects by measuring low-level EMG activity of corrugator and zygomatic muscles during resting and three imagery states (happy, typical day, sad). All patients had major depressive disorder, endogenous subtype. Good responders had significantly higher pretreatment EMG zygomatic values and different EMG profiles. Our findings replicate and expand prior reports.en_US
dc.format.extent629024 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleFacial EMG activity levels predict treatment outcome in depressionen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPsychiatryen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumProfessor of Psychiatry, Clinical Studies Unit for Affective Disorders, and Scientific Associate, Mental Health Research Institute, University of Michigan Hospitals, USAen_US
dc.contributor.affiliationumClinical Studies Unit, Department of Psychiatry, University of Michigan Hospitals, USAen_US
dc.contributor.affiliationumClinical Studies Unit, Department of Psychiatry, University of Michigan Hospitals, USAen_US
dc.contributor.affiliationumAssociate Professor, Department of Psychiatry and Mental Health Research Institute, University of Michigan Hospitals, USAen_US
dc.contributor.affiliationumDepartment of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI, USAen_US
dc.identifier.pmid6596590en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/24620/1/0000030.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0165-1781(84)90082-9en_US
dc.identifier.sourcePsychiatry Researchen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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