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Sökning: WFRF:(Firbank MJ)

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1.
  • Damangir, Soheil, et al. (författare)
  • Multispectral MRI segmentation of age related white matter changes using a cascade of support vector machines
  • 2012
  • Ingår i: Journal of the Neurological Sciences. - 0022-510X .- 1878-5883. ; 322:1-2, s. 211-216
  • Tidskriftsartikel (refereegranskat)abstract
    • White matter changes (WMC) are the focus of intensive research and have been linked to cognitive impairment and depression in the elderly. Cumbersome manual outlining procedures make research on WMC labor intensive and prone to subjective bias. We present a fast, fully automated method for WMC segmentation using a cascade of reduced support vector machines (SVMs) with active learning. Data of 102 subjects was used in this study. Two MRI sequences (T1-weighted and FLAIR) and masks of manually outlined WMC from each subject were used for the image analysis. The segmentation framework comprises pre-processing, classification (training and core segmentation) and post-processing. After pre-processing, the model was trained on two subjects and tested on the remaining 100 subjects. The effectiveness and robustness of the classification was assessed using the receiver operating curve technique. The cascade of SVMs segmentation framework outputted accurate results with high sensitivity (90%) and specificity (99.5%) values, with the manually outlined WMC as reference. An algorithm for the segmentation of WMC is proposed. This is a completely competitive and fast automatic segmentation framework, capable of using different input sequences, without changes or restrictions of the image analysis algorithm.
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  • Firbank, M. J., et al. (författare)
  • Relationship between progression of brain white matter changes and late-life depression: 3-year results from the LADIS study
  • 2012
  • Ingår i: British Journal of Psychiatry. - 0007-1250. ; 201:1, s. 40-45
  • 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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  • Firbank, Michael J, et al. (författare)
  • White matter hyperintensities and depression--preliminary results from the LADIS study.
  • 2005
  • Ingår i: International journal of geriatric psychiatry. - 0885-6230. ; 20:7, s. 674-9
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: White matter hyperintensities have been associated with the development of depression in older subjects, though the details of this relationship are not fully understood. METHODS: In a pan-European multicentre study of 629 older subjects, we examined the relationship between MRI white matter hyperintensities (WMH), depressive symptoms and self perceived health quality of life (QOL). WMH were rated using a three-point scale. RESULTS: We found depressive symptoms as assessed by the geriatric depression 15-item scale to be associated with WMH rating (Spearman's rho 0.11, p = 0.008) and also with the Euro-QOL health score (Spearman's rho -0.5, p < 0.001). In a ordinal logistic regression model, QOL was found to strongly predict GDS score (p < 0.001) and severe vs mild WMH were associated with increased depression (p = 0.028). The relationship between history of severe depression and WMH score was examined, but there were no differences either between those with and without a history of severe depression, or those with an early vs late onset of depression. CONCLUSIONS: The results suggest that WMH play a role in increasing depressive symptoms, even when perceived quality of life is controlled for as a possible mediating factor.
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  • Teodorczuk, A., et al. (författare)
  • Relationship between baseline white-matter changes and development of late-life depressive symptoms: 3-year results from the LADIS study.
  • 2009
  • Ingår i: Psychological medicine. - 1469-8978. ; 40:4, s. 603-610
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: Growing evidence suggests that cerebral white-matter changes and depressive symptoms are linked directly along the causal pathway. We investigated whether baseline severity of cerebral white-matter changes predict longer-term future depressive outcomes in a community sample of non-disabled older adults.MethodIn the Leukoaraiosis and Disability in the Elderly (LADIS) study, a longitudinal multi-centre pan-European study, 639 older subjects underwent baseline structural magnetic resonance imaging (MRI) and clinical assessments. Baseline severity of white-matter changes was quantified volumetrically. Depressive outcomes were assessed in terms of depressive episodes and depressive symptoms, as measured by the Geriatric Depression Scale (GDS). Subjects were clinically reassessed annually for up to 3 years. Regression models were constructed to determine whether baseline severity of white-matter changes predicted future depressive outcomes, after controlling for confounding factors. RESULTS: Baseline severity of white-matter changes independently predicted depressive symptoms at both 2 (p<0.001) and 3 years (p=0.015). Similarly, white-matter changes predicted incident depression (p=0.02). Over the study period the population became significantly more disabled (p<0.001). When regression models were adjusted to account for the influence of the prospective variable transition to disability, baseline severity of white-matter changes no longer predicted depressive symptoms at 3 years (p=0.09) or incident depression (p=0.08). CONCLUSIONS: Our results support the vascular depression hypothesis and strongly implicate white-matter changes in the pathogenesis of late-life depression. Furthermore, the findings indicate that, over time, part of the relationship between white-matter changes and depression may be mediated by loss of functional activity.
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