Localization of age-associated white matter hyperintensities in late-life depression

Taylor, Warren D.; MacFall, James R.; Steffens, David C.; Payne, Martha E.; Provenzale, James M.; Krishnan, K. Ranga Rama

doi:10.1016/s0278-5846(02)00358-5

Cited by 100 publications

(70 citation statements)

References 29 publications

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“…As has been shown in other studies e.g. (Taylor, et al 2003)), we found there was a significantly greater WMH burden in the LLD subjects versus the controls for both the manual and automated method. The effect size was greater for the automated method, suggesting that it is a more specific measure.…”

Section: Introductionsupporting

confidence: 90%

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A fully automated method for quantifying and localizing white matter hyperintensities on MR images

Rosano

Butters

et al. 2006

Psychiatry Research: Neuroimaging

178

165

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White matter hyperintensities (WMH), commonly found on T2-weighted FLAIR brain MR images in the elderly, are associated with a number of neuropsychiatric disorders, including vascular dementia, Alzheimer's disease, and late-life depression. Previous MRI studies of WMHs have primarily relied on the subjective and global (i.e., full-brain) ratings of WMH grade. In the current study we implement and validate an automated method for quantifying and localizing WMHs. We adapt a fuzzy connected algorithm to automate the segmentation of WMHs and use a demons-based image registration to automate the anatomic localization of the WMHs using the Johns Hopkins University White Matter Atlas. The method is validated using the brain MR images acquired from eleven elderly subjects with late-onset late-life depression (LLD) and eight elderly controls. This dataset was chosen because LLD subjects are known to have significant WMH burden. The volumes of WMH identified in our automated method are compared with the accepted gold standard (manual ratings). A significant correlation of the automated method and the manual ratings is found (P<0.0001), thus demonstrating similar WMH quantifications of both methods. As has been shown in other studies e.g. (Taylor, et al. 2003)), we found there was a significantly greater WMH burden in the LLD subjects versus the controls for both the manual and automated method. The effect size was greater for the automated method, suggesting that it is a more specific measure. Additionally, we describe the anatomic localization of the WMHs in LLD subjects as well as in the control subjects, and detect the regions of interest (ROIs) specific for the WMH burden of LLD patients. Given the emergence of large neuroimage databases, techniques, such as that described here, will allow for a better understanding of the relationship between WMHs and neuropsychiatric disorders.

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Section: Introductionsupporting

confidence: 90%

“…For example, in (Swartz, et al 2002), a 3D classification algorithm was applied to separate DWMHs from PVWMHs. Other investigators have used nonlinear image registration methods to convert the WMHs across subjects into a standard space (Taylor, et al 2003;DeCarli, et al 2005). …”

Section: Introductionmentioning

confidence: 99%

A fully automated method for quantifying and localizing white matter hyperintensities on MR images

Rosano

Butters

et al. 2006

Psychiatry Research: Neuroimaging

178

165

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“…Numerous other reports have also found greater total WML volumes in elderly depressed subjects (Krishnan et al, 1988;Dolan et al, 1990;Fujikawa et al, 1993;Krishnan, 1993;Greenwald et al, 1996;Steffens et al, 1999;Kumar et al, 2000;Tupler et al, 2002), but few of these studies examined the location of WMLs. Using an objective method of quantifying WML volume within each lobe, we have confirmed reports (Greenwald et al, 1998;MacFall et al, 2001;Taylor et al, 2003b;Firbank et al, 2004) that the preponderance of WMLs that are different between depressed and control populations occur in the frontal lobe. Although others have proposed there may be differences between groups in other lobes, we did not confirm this finding (Artero et al, 2004).…”

Section: Discussionsupporting

confidence: 82%

“…Several studies have noted that frontal WMLs are particularly associated with depression (Greenwald et al, 1998;Taylor et al, 2003b;Firbank et al, 2004), particularly WMLs occurring in the orbital frontal cortex (MacFall et al, 2001); this supports theories that frontal lobe regions are critical in mood regulation. Unfortunately, many of these studies did not examine other regions, such as the temporal or parietal lobes.…”

Section: Introductionsupporting

confidence: 56%

“…Involvement of regions beyond the frontal lobe is a critical question as a recent large-scale population study associated depression with severe WML disease in the frontal and parietal lobes, but WML disease also extended into temporal and occipital regions (Artero et al, 2004). This finding contrasts with work using Statistical Parametric Mapping (SPM99) analyses that did consider the entire brain, and reported that differences in depression predominantly are in the frontal lobe (MacFall et al, 2001;Taylor et al, 2003b). The SPM voxel-based morphometry approach is useful, but has been criticized because of the extensive processing involved to create lesion density maps from high-resolution segmented images that identify the lesions.…”

Section: Introductionmentioning

confidence: 93%

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Lobar Distribution of Lesion Volumes in Late-Life Depression: The Biomedical Informatics Research Network (BIRN)

MacFall

Taylor

Rex

et al. 2005

Neuropsychopharmacol

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White matter hyperintense lesions on T2-weighted images are associated with late-life depression. Little work has been carried out examining differences in lesion location between elderly individuals with and without depression. In contrast to previous studies examining total brain white matter lesion volume, this study examined lobar differences in white matter lesion volumes derived from brain magnetic resonance imaging. This study examined 49 subjects with a DSM-IV diagnosis of major depression and 50 comparison subjects without depression. All participants were age 60 years or older. White matter lesion volumes were measured in each hemisphere using a semiautomated segmentation process and localized to lobar regions using a lobar atlas created for this sample using the imaging tools provided by the Biomedical Informatics Research Network (BIRN). The lobar lesion volumes were compared against depression status. After controlling for age and hypertension, subjects with depression exhibited significantly greater total white matter lesion volume in both hemispheres and in both frontal lobes than did control subjects. Although a similar trend was observed in the parietal lobes, the difference did not reach a level of statistical significance. Models of the temporal and occipital lobes were not statistically significant. Older individuals with depression have greater white matter disease than healthy controls, predominantly in the frontal lobes. These changes are thought to disrupt neural circuits involved in mood regulation, thus increasing the risk of developing depression.

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Is vascular depression a distinct sub-type of depressive disorder? A review of causal evidence

Baldwin

2004

Int. J. Geriat. Psychiatry

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Localization of age-associated white matter hyperintensities in late-life depression

Cited by 100 publications

References 29 publications

A fully automated method for quantifying and localizing white matter hyperintensities on MR images

A fully automated method for quantifying and localizing white matter hyperintensities on MR images

Lobar Distribution of Lesion Volumes in Late-Life Depression: The Biomedical Informatics Research Network (BIRN)

Is vascular depression a distinct sub-type of depressive disorder? A review of causal evidence

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