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type
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dc:subject
| - Thèses et écrits académiques
- Psychiatrie
- Imagerie par résonance magnétique
- Dépression -- Chez la personne âgée
- Neuroimagerie fonctionnelle -- Dissertation universitaire
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preferred label
| - Neuroimaging of depression in an elderly sample, evidence of hippocampal recovery
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Subject
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dc:title
| - Neuroimaging of depression in an elderly sample, evidence of hippocampal recovery
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note
| - Objectives: Structural neuroimaging studies have revealed a consistent pattern of volumetric reductions in both the hippocampus and the anterior cingulate cortex (ACC) of individuals with a major depressive episode (MDE). This study investigated hippocampal and ACC volume changes in the elderly comparing currently depressed individuals and individuals with a past lifetime history of MDE versus healthy controls. Methods: We studied non-demented individuals from a cohort of community-dwelling people aged 65 and over (ESPRIT study). T1-weighted magnetic resonance images were used to acquire anatomical scans from 150 currently depressed individuals, 79 individuals with at least one past MDE, and 310 healthy controls. We derived quantitative regional estimates of subcortical volume of hippocampus and ACC using FreeSurfer Software (automated method). Concerning hippocampus, we also used a manual method of measurement. General Linear Model was used to study brain volumes in current and past depression adjusting for gender, age, education level, total brain volume, and anxiety disorder comorbidity. Results: After post-hoc adjustment, current depression was associated with a lower left posterior hippocampal volume (F=10.38, p=0.001) when the manual method of measure was considered. No other significant differences remained. There was a positive correlation between the years passed since the last MDE and the left posterior hippocampus volume. Conclusions: The finding of left posterior hippocampal volume reduction in currently depressed individuals but not in those with a past MDE compared to healthy controls could be related to brain neuroplasticity. Besides, our results suggest that manual measures still outperform automated methods
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http://iflastandar...bd/elements/P1001
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rdaw:P10219
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has content type
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is rdam:P30135
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