Cortical thickness is associated with gait disturbances in cerebral small vessel disease
Highlights
► Gait impairment is one of the consequences of cerebral small vessel disease. ► The role of cortical atrophy in gait impairment remains largely unknown. ► Cortical thickness is related to various gait parameters. ► This association has specific anatomical patterns for the various gait parameters. ► Cortical atrophy may be part of the disease processes in small vessel disease.
Introduction
Cerebral small vessel disease (SVD), including white matter lesions (WMLs) and lacunar infarcts, is very common in elderly persons (de Leeuw et al., 2001). SVD is not only associated with cognitive impairment but also with gait disturbances (de Laat et al., 2010), an often neglected, but nevertheless important consequence of SVD. However, the anatomical and pathophysiological mechanisms underlying these gait disturbances in SVD remain poorly understood. WMLs and lacunar infarcts have been found to be important factors (de Laat et al., 2010). A number of studies have furthermore demonstrated that measures of global cerebral atrophy are strongly and independently related to these gait disturbances (Briley et al., 1997, Rosano et al., 2007, Rosano et al., 2008, Rosano et al., 2010).
Less is known about the specific role of cortical atrophy in gait disturbances in individuals with SVD, its spatial distribution and association with subcortical WMLs and lacunar infarcts. Only two studies have investigated the relationship between cortical atrophy and gait performance (Rosano et al., 2007, Rosano et al., 2008). Using volumetric morphometry, they found that cortical volume in some frontoparietal regions was positively related to gait performance. An alternative MR-based morphometric approach is that of cortical thickness analysis (Kim et al., 2005). Cortical thickness methods have been shown to be more sensitive in detecting alterations in cortical morphology than the former volumetric approach (Eskildsen et al., 2009, Hutton et al., 2009), and have been proven to be reliable, in terms of spatial localization and magnitude of absolute cortical thickness measurement (Dickerson et al., 2008). Moreover, cortical volumetric approaches typically require an a priori definition of a small number of regions-of-interest (ROIs), limiting the possibility of exploratory analyses of cortical regions, whereas surface representations allow a landmark-based assignment of cortical regions to the entire cortex. Because the networks involved in gait are scattered throughout the entire brain in healthy individuals (la Fougere et al., 2010), a more comprehensive and data-driven analysis, such as is provided by this latter approach, is desirable.
It is furthermore not clear whether and to what extent this relationship is (in)dependent of the co-existing WMLs and lacunar infarcts. It could be hypothesized that cortical atrophy in subjects with SVD, and subsequently gait disturbances, may partly be due to WMLs and lacunar infarcts. These lesions may cause disruption of axons traversing the white matter with secondary neuronal degeneration of networks connecting relevant cortical regions, involved in the control of gait. Rosano et al. found that WMLs and lacunar infarcts did not substantially change the regression coefficients of these associations, but they assessed WMLs only semi-quantitatively (Rosano et al., 2007, Rosano et al., 2008).
Using surface-based cortical thickness analysis, we aimed to identify the association between regional cortical thickness and several spatiotemporal gait parameters in a large group of elderly individuals with cerebral SVD. A secondary objective of this study was to examine whether these associations were dependent on SVD, including WMLs and lacunar infarcts.
Section snippets
Study population
This study is embedded in the RUN DMC study, a prospective cohort study that investigates risk factors and clinical consequences of brain changes as assessed by MRI among elderly with cerebral SVD, with the development of dementia or parkinsonism as the primary study outcome (van Norden et al., 2011). Participants were recruited from the Department of Neurology. Recruitment methods and other details of the RUN DMC design are described elsewhere (van Norden et al., 2011). The RUN DMC cohort
Characteristics
Table 1 shows the demographic, clinical, imaging, and gait characteristics of the study population (n = 415). Mean age was 65.1 (SD 8.8) years and 192 (46.3%) were women. The mean cortical thickness was 3.3 (SD = 0.2, range 1.8–4.9) mm. Primary motor and somatosensory cortices (BA 1–4) were thinnest (mean thickness 2.2–2.6 mm), whereas the temporal pole and medial temporal lobe were thickest (mean thickness 3.8–4.0).
Cortical thickness and gait
Table 2 shows the regression coefficients and Fig. 2 illustrates the standardized
Discussion
The main finding of this study among patients with cerebral SVD, is that individuals with a thin cortex performed worse on gait tasks than those with a thicker cortex. There were specific anatomical patterns for the various gait parameters. These relationships, with the exception of those observed in the frontal areas with respect to cadence, were partially attributable to subcortical WMLs and lacunar infarcts.
The present study has a number of advantages, including its large sample size, high
Conclusions
Our study adds to the understanding of the pathogenesis of gait disturbances in SVD. In SVD, a thinner cortical thickness is associated with poorer gait, partially dependent on the subcortical cerebrovascular lesions. Therefore, cerebral SVD should no longer be regarded as a disease restricted to the white matter, and future studies of SVD should include the cortical gray matter in their analyses. Moreover, various gait parameters were associated with distinct anatomical regions, suggesting
Sources of funding
Dr De Leeuw received a personal fellowship of the Dutch Brain foundation (H04-12) and a clinical fellowship of the Netherlands Organization for Scientific Research (project number 40-00703-97-07197).
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