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- Firbank, M. J., et al.
(författare)
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Relationship between progression of brain white matter changes and late-life depression: 3-year results from the LADIS study
- 2012
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Ingår i: British Journal of Psychiatry. - : Royal College of Psychiatrists. - 0007-1250 .- 1472-1465. ; 201:1, s. 40-45
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Tidskriftsartikel (refereegranskat)abstract
- Background Brain white matter changes (WMC) and depressive symptoms are linked, but the directionality of this association remains unclear. Aims To investigate the relationship between baseline and incident depression and progression of white matter changes. Method In a longitudinal multicentre pan-European study (Leukoaraiosis and Disability in the elderly, LADIS), participants aged over 64 underwent baseline magnetic resonance imaging (MRI) and clinical assessments. Repeat scans were obtained at 3 years. Depressive outcomes were assessed in terms of depressive episodes and the Geriatric Depression Scale (GDS). Progression of WMC was measured using the modified Rotterdam Progression scale. Results Progression of WMC was significantly associated with incident depression during year 3 of the study (P = 0.002) and remained significant after controlling for transition to disability, baseline WMC and baseline history of depression. There was no significant association between progression of WMC and GDS score, and no significant relationship between progression of WMC and history of depression at baseline. Conclusions Our results support the vascular depression hypothesis and implicate WMC as causal in the pathogenesis of late-life depression.
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| 2. |
- Teodorczuk, A., et al.
(författare)
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White matter changes and late-life depressive symptoms - Longitudinal study
- 2007
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Ingår i: BRITISH JOURNAL OF PSYCHIATRY. - : Royal College of Psychiatrists. - 0007-1250 .- 1472-1465. ; 191, s. 212-217
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Tidskriftsartikel (refereegranskat)abstract
- Evidence from cross-sectional studies suggests a link between cerebral age-related white matter changes and depressive symptoms in older people, although the temporal association remains unclear.AimsTo investigate age-related white matter changes on magnetic resonance imaging (MRI) as an independent predictor of depressive symptoms at 1 year after controlling for known confounders.MethodIn a pan-European multicentre study of 639 older adults without significant disability, MRI white matter changes and demographic and clinical variables, including cognitive scores, quality of life, disability and depressive symptoms, were assessed at baseline. Clinical assessments were repeated at 1 year.ResultsUsing logistic regression analysis, severity of white matter changes was shown to independently and significantly predict depressive symptoms at 1 year after controlling for baseline depressive symptoms, quality of life and worsening disability (P<0.01).ConclusionsWhite matter changes pre-date and are associated with the development of depressive symptoms. This has implications for treatment and prevention of depression in later life.
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| 3. |
- Donaghy, P. C., et al.
(författare)
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The relationship between plasma biomarkers and amyloid PET in dementia with Lewy bodies
- 2022
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Ingår i: Parkinsonism and Related Disorders. - : Elsevier BV. - 1353-8020. ; 101, s. 111-116
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Tidskriftsartikel (refereegranskat)abstract
- Introduction: Amyloid-β (Aβ) deposition is common in dementia with Lewy bodies (DLB) and has been associated with more rapid disease progression. An effective biomarker that identified the presence of significant brain Aβ in people with DLB may be useful to identify and stratify participants for research studies and to inform prognosis in clinical practice. Plasma biomarkers are emerging as candidates to fulfil this role. Methods: Thirty-two participants with DLB had brain amyloid (18F-florbetapir) PET, of whom 27 also had an MRI to enable the calculation of 18F-florbetapir SUVR. Plasma Aβ42/40, phosphorylated tau (p-tau181), glial fibrillary acidic protein (GFAP) and neurofilament light (NfL) were measured using single molecule array (Simoa). The plasma biomarkers were investigated for correlation with 18F-florbetapir SUVR, discriminant ability to identify Aβ-positive cases based on a predefined SUVR threshold of 1.10 and correlation with subsequent cognitive decline over one year. Results: All four plasma markers significantly correlated with 18F-florbetapir SUVR (|β| = 0.40-0.49; p < .05). NfL had the greatest area under the receiver operating characteristic curve to identify Aβ-positive cases (AUROC 0.84 (95% CI 0.66, 1); β = 0.46, p = .001), whereas Aβ42/40 had the smallest (AUROC 0.73 (95% CI 0.52, 0.95); β = −0.47, p = .01). Accuracy was highest when combining all four biomarkers (AUROC 0.92 (95% CI 0.80, 1)). Lower plasma Aβ42/40 was significantly associated with more rapid decline in cognition (β = 0.53, p < .01). Conclusions: Plasma biomarkers have the potential to identify Aβ deposition in DLB. Further work in other cohorts is required to determine and validate optimal cut-offs for these biomarkers. © 2022 The Authors
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