K.F. de Laat

Subjective cognitive failures and hippocampal volume in elderly with white matter lesions.

Background: Subjective cognitive failures (SCF) and subjective memory failures (SMF) have been reported to be an early predictor of Alzheimer disease (AD) and have been attributed to white matter lesions (WML). Since AD is characterized by hippocampal degeneration, it is surprising that its relation with hippocampal atrophy has been investigated only sparsely. Previous studies on this are rare, limited in sample size, and did not adjust for WML. Objective: To determine the relation between SCF and hippocampal volume in strata of objective cognitive performance among elderly without dementia with incidental WML. Methods: The Radboud University Nijmegen Diffusion tensor and MRI Cohort study is a prospective cohort study among 503 subjects with WML aged between 50 and 85 years. All subjects underwent FLAIR and T1 MRI scanning. The amount of SCF and SMF was rated by the Cognitive Failure Questionnaire. Cognitive function was assessed by a cognitive screening battery. Volumetric measures of hippocampus and WML were manually performed. We assessed the relation between hippocampal volume and SCF and SMF adjusted for age, sex, education, depression, intracranial volume, and WML volume. Results: Subjects with SCF and SMF had lower hippocampal volumes than those without (p = 0.01 and p = 0.02). This was most noteworthy in subjects with good objective cognitive performance (ptrend = 0.007 and ptrend = 0.03), and not in those with poor objective cognitive performance. Conclusion: Subjective cognitive failures (SCF) are associated with lower hippocampal volume, even in subjects without objective cognitive impairment and independent of white matter lesions. SCF has a radiologic detectable pathologic-anatomic substrate.

White matter integrity in small vessel disease is related to cognition

Cerebral small vessel disease, including white matter hyperintensities (WMH) and lacunes of presumed vascular origin, is common in elderly people and is related to cognitive impairment and dementia. One possible mechanism could be the disruption of white matter tracts (both within WMH and normal-appearing white matter) that connect distributed brain regions involved in cognitive functions. Here, we investigated the relation between microstructural integrity of the white matter and cognitive functions in patients with small vessel disease. The Radboud University Nijmegen Diffusion tensor and Magnetic resonance Cohort study is a prospective cohort study among 444 independently living, non-demented elderly with cerebral small vessel disease, aged between 5500 and 85 years. All subjects underwent magnetic resonance imaging and diffusion tensor imaging scanning and an extensive neuropsychological assessment. We showed that loss of microstructural integrity of the white matter at specific locations was related to specific cognitive disturbances, which was mainly located in the normal-appearing white matter (p < 0.05, FWE-corrected for multiple comparisons). The microstructural integrity in the genu and splenium showed the highest significant relation with global cognitive function and executive functions, in the cingulum bundle with verbal memory performance. Associations between diffusion tensor imaging parameters and most cognitive domains remained present after adjustment for WMH and lacunes. In conclusion, cognitive disturbances in subjects with cerebral small vessel disease are related to microstructural integrity of multiple white matter fibers (within WMH and normal-appearing white matter) connecting different cortical and subcortical regions.

Physical activity is related to the structural integrity of cerebral white matter

Objective: To investigate the relation between physical exercise and the microstructural integrity of cerebral white matter. Methods: Four hundred forty individuals with cerebral small-vessel disease, aged between 50 and 85 years, without dementia, were included and underwent MRI scanning. Physical exercise was assessed with a structured questionnaire. The cross-sectional relation between physical exercise and the microstructural integrity of the white matter was assessed by applying Tract-Based Spatial Statistics to diffusion tensor imaging parameters. Results: Being more physically active was negatively related to the mean, axial, and radial diffusivity in numerous regions of the white matter, indicative of higher white matter integrity. Conclusions: These data indicate an association between physical activity and the integrity of the cerebral white matters microstructure. Prospective studies are required to investigate a possible causal association between physical activity and cognitive decline.

Falls in patients with neuromuscular disorders.

We monitored the incidence and consequences of falls during a 3-month follow-up in 66 patients with a variety of neuromuscular disorders and in 44 age-matched controls. Patients fell more often than controls (27% versus 5%). Falls frequently caused injuries (minor in 79% of subjects and major in 5%) and were often accompanied by fear of falling (58%) and reduced activities (48%). We conclude that falling is a clinically important problem in patients with neuromuscular disorders.

Structural network connectivity and cognition in cerebral small vessel disease

Cerebral small vessel disease (SVD), including white matter hyperintensities (WMH), lacunes and microbleeds, and brain atrophy, are related to cognitive impairment. However, these magnetic resonance imaging (MRI) markers for SVD do not account for all the clinical variances observed in subjects with SVD. Here, we investigated the relation between conventional MRI markers for SVD, network efficiency and cognitive performance in 436 nondemented elderly with cerebral SVD. We computed a weighted structural connectivity network from the diffusion tensor imaging and deterministic streamlining. We found that SVD‐severity (indicated by higher WMH load, number of lacunes and microbleeds, and lower total brain volume) was related to networks with lower density, connection strengths, and network efficiency, and to lower scores on cognitive performance. In multiple regressions models, network efficiency remained significantly associated with cognitive index and psychomotor speed, independent of MRI markers for SVD and mediated the associations between these markers and cognition. This study provides evidence that network (in)efficiency might drive the association between SVD and cognitive performance. This hightlights the importance of network analysis in our understanding of SVD‐related cognitive impairment in addition to conventional MRI markers for SVD and might provide an useful tool as disease marker. Hum Brain Mapp 37:300–310, 2016.

Microstructural integrity of the cingulum is related to verbal memory performance in elderly with cerebral small vessel disease: The RUN DMC study

BACKGROUND Cerebral small vessel disease (SVD) is related to verbal memory failures. It is suggested that early white matter damage, is located, among others, in the (posterior) cingulum at an early stage in neurodegeneration. Changes in the microstructural integrity of the cingulum assessed with diffusion tensor imaging (DTI), beyond detection with conventional MRI, may precede macrostructural changes and be related to verbal memory failures. OBJECTIVE To investigate the relation between cingular microstructural integrity and verbal memory performance in 503 non-demented elderly with cerebral SVD. METHODS The RUN DMC study is a prospective cohort study in elderly (50-85 years) with cerebral SVD. All participants underwent T1 MPRAGE, FLAIR and DTI scanning and the Rey Auditory Verbal Learning Test. Mean diffusivity (MD) and fractional anisotropy (FA) were assessed in six different cingular regions of interests (ROIs). Linear regression analysis was used to assess the relation between verbal memory performance and cingular DTI parameters, with appropriate adjustments. Furthermore a TBSS analysis of the whole brain was performed to investigate the specificity of our findings. RESULTS Both our ROI-based and TBSS analysis showed that FA was positively related to immediate memory, delayed recall, delayed recognition and overall verbal memory performance of the cingulum, independent of confounders. A similar distribution was seen for the inverse association with MD and verbal memory performance with TBSS analysis. No significant relations were found with psychomotor speed, visuospatial memory and MMSE. When stratified on hippocampal integrity, the MD and FA values of the cingular ROIs differed significantly between participants with a good and poor hippocampal integrity. CONCLUSION Microstructural integrity of the cingulum, assessed by DTI, is specifically related to verbal memory performance, in elderly with SVD. Furthermore we found that when the integrity of the hippocampus is disrupted, the cingulum integrity is impaired as well.

Factors Associated With 8-Year Mortality in Older Patients With Cerebral Small Vessel Disease The Radboud University Nijmegen Diffusion Tensor and Magnetic Resonance Cohort (RUN DMC) Study

IMPORTANCE Gait and cognition have been related to mortality in population-based studies. This association is possibly mediated by cerebral small vessel disease (SVD), which has been associated with mortality as well. It is unknown which factors can predict mortality in individuals with SVD. Identification of high-risk patients may provide insight into factors that reflect their vital health status. OBJECTIVES To assess mortality in patients with cerebral SVD and identify potential clinical and/or imaging factors associated with mortality. DESIGN, SETTING, AND PARTICIPANTS A prospective, single-center cohort study was conducted. The present investigation is embedded in the Radboud University Nijmegen Diffusion Tensor and Magnetic Resonance Cohort (RUN DMC) study. Between January 17, 2006, and February 27, 2007, all participants underwent a cognitive and motor assessment and cerebral magnetic resonance imaging (MRI) including a diffusion tensor imaging sequence to assess microstructural integrity of the white matter. Participants were followed up until their death or November 24, 2014. Participants included 503 older adults with SVD noted on brain imaging. Data analysis was performed from November 26, 2014, to February 2, 2015. MAIN OUTCOMES AND MEASURES Eight-year all-cause mortality. RESULTS Of 503 participants (mean [SD] age, 65.7 [8.8] years; range, 50-85 years; 284 [56.5%] were male), 80 individuals (15.9%) died during a mean (SD) follow-up of 7.8 (1.5) years. In the final analysis, 494 (98.2%) were included, of whom 78 (15.8%) died. Gait speed, cognitive index, conventional MRI markers of SVD (white matter hyperintensity volume, brain volume, and lacunes), and diffusion measures of the white matter were associated with an 8-year risk of mortality independent of age, sex, and vascular risk factors. The prediction of mortality was determined using Cox proportional hazards models with backward stepwise selection and including age, sex, vascular risk factors, gait speed, cognitive index, MRI, and diffusion measures. Results are reported as hazard ratios (HRs) (95% CI). Older age (1.05 per 1-year increase [1.01-1.08]), lower gait speed (1.15 per 0.1-m/s slower gait [1.06-1.24]), lower gray matter volume (0.72 per 1-SD increase [0.55-0.95]), and greater global mean diffusivity of the white matter (1.51 per 1-SD increase [1.19-1.92]) were identified as the main factors associated with mortality. Cognitive index and other conventional SVD markers were not retained in the prediction model. CONCLUSIONS AND RELEVANCE Gait, cognition, and imaging markers of SVD are associated with 8-year risk of mortality. In the prediction of mortality, an older age, lower gait speed, lower gray matter volume, and greater global mean diffusivity of white matter at baseline best predicted mortality in our population. Further research is needed to investigate the reproducibility of this prediction model and to elucidate the association between the factors identified and mortality.

Diagnostic accuracy of the clapping test in Parkinsonian disorders

BackgroundTo determine the diagnostic value of the clapping test, which has been proposed as a reliable measure to differentiate between progressive supranuclear palsy (where performance is impaired) and Parkinson’s disease (where performance should be normal).MethodsOur study group included a large cohort of consecutive outpatients including 44 patients with Parkinsons disease, 48 patients with various forms of atypical parkinsonism and 149 control subjects. All subjects performed the clapping test according to a standardized protocol.ResultsClapping test performance was normal in all control subjects, and impaired in 63% of the patients with atypical parkinsonism. Unexpectedly, we also found an impaired clapping test in 29% of the patients with Parkinsons disease.ConclusionAlthough the proportion with an abnormal clapping test was significantly higher in atypical parkinsonism, the clapping test did not discriminate well between Parkinsons disease and atypical parkinsonism.

Diffusion tensor imaging of the hippocampus predicts the risk of dementia; the RUN DMC study

Cerebral small vessel disease is one of the most important risk factors for dementia, and has been related to hippocampal atrophy, which is among the first observed changes on conventional MRI in patients with dementia. However, these volumetric changes might be preceded by loss of microstructural integrity of the hippocampus for which conventional MRI is not sensitive enough. Therefore, we investigated the relation between the hippocampal diffusion parameters and the risk of incident dementia, using diffusion tensor imaging, independent of hippocampal volume.

Depressive Symptoms and Amygdala Volume in Elderly with Cerebral Small Vessel Disease: The RUN DMC Study

Introduction. Late onset depressive symptoms (LODSs) frequently occur in elderly with cerebral small vessel disease (SVD). SVD cannot fully explain LODS; a contributing factor could be amygdala volume. We investigated the relation between amygdala volume and LODS, independent of SVD in 503 participants with symptomatic cerebral SVD. Methods. Patients underwent FLAIR and T1 scanning. Depressive symptoms were assessed with structured questionnaires; amygdala and WML were manually segmented. The relation between amygdala volume and LODS/EODS was investigated and adjusted for age, sex, intracranial volume, and SVD. Results. Patients with LODS had a significantly lower left amygdala volume than those without (P = 0.02), independent of SVD. Each decrease of total amygdala volume (by mL) was related to an increased risk of LODS (OR = 1.77; 95% CI 1.02–3.08; P = 0.04). Conclusion. Lower left amygdala volume is associated with LODS, independent of SVD. This may suggest differential mechanisms, in which individuals with a small amygdala might be vulnerable to develop LODS.