PubMed · 2008 · 14 citations · 27 references
Life SciencesNeurosciencePsychiatryNeurochemistryNeurophysiologyPsychophysiologyAntidepressant TherapyDepressionElectrodermal ActivityLimbic System FunctionNeural System ModelingNeurotransmitter SystemsAntidepressant ResponseDepression PathophysiologyElectrodermal ResponsesLimbic System OrganizationPhysiological Signal AnalysisPhysiological System IdentificationSkin Conductance MeasurementTherapeutic Response Prediction
OBJECTIVE: Choice of antidepressant is a daily problem in clinical work. Clinical predictors of therapeutic response to antidepressants are not yet available. We explored the possibility of using a signal analysis of skin conductance response (SCR) in specifying the imbalances of the neurotransmitter systems in the brain. SUBJECTS AND METHODS: The method consists in application of the system identification theory in analyzing the regulation of SCR. Eleven short stories from the contemporary literature have been used to elicit emotional arousal in subjects. Participants were divided into two groups, a group of depressed patients (n=57), and a healthy control group (n=52). RESULTS: The resulting mathematical model of SCR revealed two feedback loops. Significant differences have been found between depressed patients and healthy subjects in the sense of stronger signals in both identified feedback loops in depression. We considered these results in the context of the data regarding: (i) the functional neuroanatomy of SCR, and (ii) the neurochemical characteristics of depression. CONCLUSION: The methodological approach that is still to be examined could be useful in prediction of response to a specific antidepressant.
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M. Hamilton · Journal of Neurology Neurosurgery & Psychiatry · 1960 · 32.6K citations · Full text
Psychopharmacology: The Third Generation of Progress.
Annals of Internal Medicine · 1988 · 2K citations
William Blizek, D. E. Berlyne · Journal of Aesthetics and Art Criticism · 1973 · 1.9K citations