Data Sciences and Brain Health across the Life Course session in 2020 SICSA Conference Oct 01, 2020 01:15 PM - 03:15 PM — Virtual Meeting (online)
Ophthalmic Medical Image Analysis MICCAI 2020 Workshop Oct 08, 2020 12:00 AM — Virtual Meeting (online)
Predictive Intelligence in Medicine MICCAI 2020 Workshop Oct 08, 2020 12:00 AM — Virtual Meeting (online)
PET is Wonderful Annual Meeting 2020 Oct 27, 2020 02:00 PM - 05:40 PM — Virtual Meeting (online)

eLearning

SINAPSE experts from around Scotland have developed ten online modules designed to explain medical imaging. They are freely available and are intended for non-specialists.


Edinburgh Imaging Academy at the University of Edinburgh offers the following online programmes through a virtual learning environment:

Neuroimaging for Research MSc/Dip/Cert

Imaging MSc/Dip/Cert

PET-MR Principles & Applications Cert

Applied Medical Image Analysis Cert

Online Short Courses

Depressive symptoms in late life and cerebrovascular disease: the importance of intelligence and lesion location

Author(s): A. D. Murray, R. T. Staff, C. J. McNeil, S. Salarirad, L. H. Phillips, J. Starr, I. J. Deary, L. J. Whalley

Abstract:
BACKGROUND: The influence of white matter lesions on depressive symptoms in healthy ageing populations remains unclear. In this study, we examined the relationship between depressive symptoms and magnetic resonance imaging (MRI) detected cerebrovascular disease in a normal population living independently in the community, and measured the influence of location of brain abnormalities, fluid intelligence, living alone, and sex. METHODS: Prospective cohort: 497 community dwelling individuals all born in 1936, who took part in the Scottish Mental Survey of 1947, were followed up in 2000 and at biannual intervals in a longitudinal study of health and cognitive aging. Two hundred forty-four volunteered for brain MRI in 2004-2006. Suitable data were available in 219/244, of whom 115 were men. Brain hyperintensities in lobar white matter, basal ganglia , periventricular, and infratentorial regions were measured using Scheltens' scale. Depressed mood was assessed using the Hospital Anxiety and Depression Scale (HADS) on three biannual intervals. Relationships between Scheltens' scores, HADS-D scores, fluid intelligence, living alone, and sex were assessed using general linear modeling. RESULTS: The main predictor of depressive symptom scores was poorer fluid intelligence (partial eta(2) =0.023-0.028, P < .05). Ischemic change in the brainstem (partial eta(2) = 0.026, P </=.05) and basal ganglia (partial eta(2) =0.018, P </= .05) also predicted HADS-D scores. There was no relationship with sex or living alone. CONCLUSIONS: Hyperintensities in the brainstem and basal ganglia are associated with depressive symptoms. Higher fluid intelligence is associated with lower depressive symptoms in this normal, ageing population.

Full version: Available here

Click the link to go to an external website with the full version of the paper


ISBN: 1520-6394 (Electronic)1091-4269 (Linking)
Publication Year: 2013
Periodical: Depress Anxiety
Periodical Number: 1
Volume: 30
Pages: 77-84
Author Address: Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, Scotland, UK. a.d.murray@abdn.ac.uk