The publication detail shows the title, authors (with indicators showing other profiled authors), information on the publishing organization, abstract and a link to the article in PubMed. This abstract is what is used to create the fingerprint of the publication. If any grants are referenced by the publication, they will be listed here as well.
Early response to light therapy partially predicts long-term antidepressant effects in patients with seasonal affective disorder.
L Sher; J R Matthews; E H Turner; T T Postolache; K S Katz; N E Rosenthal (Profiled Author: Teodor T Postolache)
Section on Biological Rhythms, National Institute of Mental Health, Bethesda, Md., USA. email@example.com
Journal of psychiatry & neuroscience : JPN 2001;26(4):336-8.
OBJECTIVE: To determine if the antidepressant effect of 1 hour of light therapy is predictive of the response after 1 and 2 weeks of treatment in patients with seasonal affective disorder (SAD). PATIENTS: Twelve patients with SAD. SETTING: National Institutes of Health Clinical Center, Bethesda, Md. INTERVENTIONS: Light therapy for 2 weeks. OUTCOME MEASURES: Scores on the Seasonal Affective Disorder Version of the Hamilton Depression Rating Scale (SIGH-SAD) on 4 occasions (before and after 1 hour of light therapy and after 1 and 2 weeks of therapy) in the winter when the patients were depressed. Change on typical and atypical depressive scores at these time points were compared. RESULTS: Improvement of atypical depressive symptoms after 1 hour of light therapy positively correlated with improvement after 2 weeks of therapy. CONCLUSION: In patients with SAD, the early response to light therapy may predict some aspects of long-term response to light therapy, but these results should be treated with caution until replicated.
This section shows information related to the publication - computed using the fingerprint of the publication - including related publications, related experts and related grants with fingerprints representing significant amounts of overlap between their fingerprint and this publication. The red dots indicate whether those experts or terms appear within the publication, thereby showing potential and actual connections.
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