2012
DOI: 10.1159/000335497
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White Matter Hyperintensities and the Course of Depressive Symptoms in Elderly People with Mild Dementia

Abstract: Objectives: To explore the relationship between white matter hyperintensities (WMH) and the prevalence and course of depressive symptoms in mild Alzheimer’s disease (AD) and Lewy body dementia. Design: This is a prospective cohort study conducted in secondary care outpatient clinics in western Norway. Subjects: The study population consisted of 77 elderly people with mild dementia diagnosed according to standardised criteria. Methods: Structured clinical interviews and physical, neurological, psychiatric, and … Show more

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Cited by 40 publications
(36 citation statements)
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“…Apathy has been related to anterior cingulate atrophy [17,18]. Aside from atrophy, white matter hyperintensities (WMH) have been associated with NPS; periventricular WMH volumes have been related to hallucinations, depression and anxiety in patients with AD and VaD dementias [19], more so if in the frontal lobe [20,21]. In another study, changes in white matter, primarily in the frontal and parieto-occipital regions, were suggested to contribute to the development of delusional misidentification in patients with AD [22].…”
Section: Introductionmentioning
confidence: 99%
“…Apathy has been related to anterior cingulate atrophy [17,18]. Aside from atrophy, white matter hyperintensities (WMH) have been associated with NPS; periventricular WMH volumes have been related to hallucinations, depression and anxiety in patients with AD and VaD dementias [19], more so if in the frontal lobe [20,21]. In another study, changes in white matter, primarily in the frontal and parieto-occipital regions, were suggested to contribute to the development of delusional misidentification in patients with AD [22].…”
Section: Introductionmentioning
confidence: 99%
“…They have been associated with depression [5] and dementia [6]. WMH predict functional decline in voiding, mobility and cognition, and depression [7][9].…”
Section: Introductionmentioning
confidence: 99%
“…The high performance of the combination of the largest Lya punov exponent and regularity dimension features suggests the computational usefulness of the application of chaos and nonlinear dynamical methods to the cost-effective analysis of the photoplethysmography for depression detection. There are evidences about the close relationships between depression and cardiovascular disease [12] and dementia [30], and the use magnetic resonance imaging for quantifying white matter hyperintensities of the brain has been studied to validate such hypotheses [29], [30]. Computational tools for effective analysis of photoplethysmographic waves would add another significant piece of information for these studies.…”
Section: Discussionmentioning
confidence: 99%