W.M. van der Flier

Prevalence and severity of microbleeds in a memory clinic setting

Objective: To determine prevalence and severity of microbleeds (MBs) in a large cohort of patients attending a memory clinic. Methods: The authors consecutively included patients attending their memory clinic between January 2002 and April 2005. They analyzed prevalence and number of MBs according to demographic, diagnostic, and MRI data. Results: The authors included 772 patients (53% men, age 66 ± 11). One hundred twenty-seven patients (17%) exhibited at least one MB. The prevalence differed according to diagnostic groups (p < 0.0001): Sixty-five percent of patients with vascular dementia exhibited MBs vs 18% of Alzheimer disease patients, 20% of mild cognitive impairment patients, and 10% of patients with subjective complaints. The presence of MBs was associated with age, white matter hyperintensities, lacunar infarcts, and infarcts. Conclusion: The prevalence of microbleeds (MBs) in a large cohort of patients attending a memory clinic is higher than previously described in community samples and lower than reported in stroke patients. This finding of a relatively high proportion of MBs in Alzheimer disease and mild cognitive impairment provides further evidence for the involvement of vascular factors in neurodegenerative diseases such as Alzheimer disease.

Cerebrospinal fluid markers for differential dementia diagnosis in a large memory clinic cohort

Objective: To determine how amyloid β 42 (Aβ42), total tau (t-tau), and phosphorylated tau (p-tau) levels in CSF behave in a large cohort of patients with different types of dementia. Methods: Baseline CSF was collected from 512 patients with Alzheimer disease (AD) and 272 patients with other types of dementia (OD), 135 patients with a psychiatric disorder (PSY), and 275 patients with subjective memory complaints (SMC). Aβ42, t-tau, and p-tau (at amino acid 181) were measured in CSF by ELISA. Autopsy was obtained in a subgroup of 17 patients. Results: A correct classification of patients with AD (92%) and patients with OD (66%) was accomplished when CSF Aβ42 and p-tau were combined. Patients with progressive supranuclear palsy had normal CSF biomarker values in 90%. Patients with Creutzfeldt-Jakob disease demonstrated an extremely high CSF t-tau at a relatively normal CSF p-tau. CSF AD biomarker profile was seen in 47% of patients with dementia with Lewy bodies (DLB), 38% in corticobasal degeneration (CBD), and almost 30% in frontotemporal lobar degeneration (FTLD) and vascular dementia (VaD). PSY and SMC patients had normal CSF biomarkers in 91% and 88%. Older patients are more likely to have a CSF AD profile. Concordance between clinical and neuropathologic diagnosis was 85%. CSF markers reflected neuropathology in 94%. Conclusion: CSF Aβ42, t-tau, and p-tau are useful in differential dementia diagnosis. However, in DLB, FTLD, VaD, and CBD, a substantial group exhibit a CSF AD biomarker profile, which requires more autopsy confirmation in the future.

Heterogeneity of white matter hyperintensities in Alzheimer's disease: post-mortem quantitative MRI and neuropathology

White matter hyperintensities (WMH) are frequently seen on T(2)-weighted MRI scans of elderly subjects with and without Alzheimers disease. WMH are only weakly and inconsistently associated with cognitive decline, which may be explained by heterogeneity of the underlying neuropathological substrates. The use of quantitative MRI could increase specificity for these neuropathological changes. We assessed whether post-mortem quantitative MRI is able to reflect differences in neuropathological correlates of WMH in tissue samples obtained post-mortem from Alzheimers disease patients and from non-demented elderly. Thirty-three formalin-fixed, coronal brain slices from 11 Alzheimers disease patients (mean age: 83 +/- 10 years, eight females) and 15 slices from seven non-demented controls (mean age: 78 +/- 10 years, four females) with WMH were scanned at 1.5 T using qualitative (fluid-attenuated inversion recovery, FLAIR) and quantitative MRI [diffusion tensor imaging (DTI) including estimation of apparent diffusion coefficient (ADC) and fractional anisotropy (FA), and T(1)-relaxation time mapping based on flip-angle array). A total of 104 regions of interest were defined on FLAIR images in WMH and normal appearing white matter (NAWM). Neuropathological examination included (semi-)quantitative assessment of axonal density (Bodian), myelin density (LFB), astrogliosis (GFAP) and microglial activation (HLA-DR). Patient groups (Alzheimers disease versus controls) and tissue types (WMH versus NAWM) were compared with respect to QMRI and neuropathological measures. Overall, Alzheimers disease patients had significantly lower FA (P < 0.01) and higher T(1)-values than controls (P = 0.04). WMH showed lower FA (P < 0.01) and higher T(1)-values (P < 0.001) than NAWM in both patient groups. A significant interaction between patient group and tissue type was found for the T(1) measurements, indicating that the difference in T(1)-relaxation time between NAWM and WMH was larger in Alzheimers disease patients than in non-demented controls. All neuropathological measures showed differences between WMH and NAWM, although the difference in microglial activation was specific for Alzheimers disease. Multivariate regression models revealed that in Alzheimers disease, axonal density was an independent determinant of FA, whereas T(1) was independently determined by axonal and myelin density and microglial activation. Quantitative MRI techniques reveal differences in WMH between Alzheimers disease and non-demented elderly, and are able to reflect the severity of the neuropathological changes involved.

Epidemiology and risk factors of dementia

Dementia refers to a syndrome that is characterised by progressive deterioration of cognitive functions. Neuropsychiatric symptoms, such as apathy, agitation, and depression, are also common. With increasing loss of function, a patient is gradually robbed of his or her independence. Eventually, placement in a nursing home may be necessary. Patients with dementia usually survive 7—10 years after onset of symptoms. Dementia places a tremendous burden not only on caregivers, but also on society, and has already been established as one of the major challenges of this century.1 Epidemiology refers to the medical science that studies frequencies of disease.2 Measures of frequency that are often used in epidemiology are prevalence and incidence. The concept of prevalence refers to the number of patients with a disease at a certain moment in time, whereas measures of incidence reflect the number of new cases over time. Although important for health care planners, the knowledge of frequency of disease in itself is not the goal of epidemiology. Rather, the aim is to gain insight into the mechanisms that cause disease, eventually to be able to cure or prevent disease. Therefore, frequencies are studied in relation to determinants, or risk factors. Although marked as “the epidemic of our century”, still surprisingly little is known about the epidemiology of dementia. In this chapter, a brief overview will be given of the epidemiology and risk factors of dementia. Furthermore, we comment on some specific methodological problems associated with studies in dementia. The syndrome of dementia may be caused by various underlying diseases, each characterised by a specific constellation of signs and symptoms in combination with a presumed underlying substrate of neuropathology (fig 1). Alzheimer’s disease (AD) is the most prevalent cause of dementia. It is a neurodegenerative disorder, generally assumed to be caused by neuritic plaques …

A worldwide multicentre comparison of assays for cerebrospinal fluid biomarkers in Alzheimer's disease

Background Different cerebrospinal fluid (CSF) amyloid-beta 1–42 (Aβ 1–42), total Tau (Tau) and Tau phosphorylated at threonine 181 (P-Tau) levels are reported, but currently there is a lack of quality control programmes. The aim of this study was to compare the measurements of these CSF biomarkers, between and within centres. Methods Three CSF-pool samples were distributed to 13 laboratories in 2004 and the same samples were again distributed to 18 laboratories in 2008. In 2004 six laboratories measured Aβ 1–42, Tau and P-Tau and seven laboratories measured one or two of these marker(s) by enzyme-linked immunosorbent assays (ELISAs). In 2008, 12 laboratories measured all three markers, three laboratories measured one or two marker(s) by ELISAs and three laboratories measured the markers by Luminex. Results In 2004, the ELISA intercentre coefficients of variance (interCV) were 31%, 21% and 13% for Aβ 1–42, Tau and P-Tau, respectively. These were 37%, 16% and 15%, respectively, in 2008. When we restricted the analysis to the Innotest® (N = 13) for Aβ 1–42, lower interCV were calculated (22%). The centres that participated in both years (N = 9) showed interCVs of 21%, 15% and 9% and intra-centre coefficients (intraCV) of variance of 25%,18% and 7% in 2008. Conclusions The highest variability was found for Aβ 1–42. The variabilities for Tau and P-Tau were lower in both years. The centres that participated in both years showed a high intraCV comparable to their interCV, indicating that there is not only a high variation between but also within centres. Besides a uniform standardization of (pre)analytical procedures, the same assay should be used to decrease the inter/intracentre variation.

CSF biomarkers and medial temporal lobe atrophy predict dementia in mild cognitive impairment

OBJECTIVE To study CSF biomarkers, beta-amyloid(1-42) (Abeta(1-42)) and tau, and medial temporal lobe atrophy (MTA) on MRI in their ability to predict dementia in patients with mild cognitive impairment (MCI). METHODS Fifty-nine MCI patients (49% male, mean age 69+/-8), follow-up 19 months, were included. Baseline CSF levels of Abeta(1-42), tau and MTA-score were dichotomized. RESULTS Thirty-three (56%) of the MCI patients progressed to dementia, 30 of which had Alzheimers disease. Lower CSF Abeta(1-42) level, higher CSF-tau and higher MTA-scores at baseline were found in progressed patients. Cox proportional hazards models revealed that abnormal CSF Abeta(1-42), CSF tau and MTA were significantly associated with dementia at follow-up (hazard ratio (95% confidence interval): 4.0 (1.3-12.1), 5.9 (1.6-21.7) and 2.1 (1.0-4.6)). A fourfold higher risk was found for patients with both abnormal CSF biomarkers and MTA compared to patients with either test abnormal. Ninety-four percent of patients with both abnormalities converted to dementia. CONCLUSIONS These findings suggest an added value of CSF to MRI in the diagnostic work up of patients presenting at a memory clinic.

Amnestic Mild Cognitive Impairment : Structural MR Imaging Findings Predictive of Conversion to Alzheimer Disease

BACKGROUND AND PURPOSE: Mild cognitive impairment (MCI) is considered by many to be a prodromal phase of Alzheimer disease (AD). We used voxel-based morphometry (VBM) to find out whether structural differences on MR imaging could offer insight into the development of clinical AD in patients with amnestic MCI at 3-year follow-up. MATERIALS AND METHODS: Twenty-four amnestic patients with MCI were included. After 3 years, 46% had progressed to AD (n = 11; age, 72.7 ± 4.8 years; women/men, 8/3). For 13 patients (age, 72.4 ± 8.6 years; women/men, 10/3), the diagnosis remained MCI. Baseline MR imaging at 1.5T included a coronal heavily T1-weighted 3D gradient-echo sequence. Localized gray matter differences were assessed with VBM. RESULTS: The converters had less gray matter volume in medial (including the hippocampus) and lateral temporal lobe, parietal lobe, and lateral temporal lobe structures. After correction for age, sex, total gray matter volume, and neuropsychological evaluation, left-sided atrophy remained statistically significant. Specifically, converters had more left parietal atrophy (angular gyrus and inferior parietal lobule) and left lateral temporal lobe atrophy (superior and middle temporal gyrus) than stable patients with MCI. CONCLUSION: By studying 2 MCI populations, converters versus nonconverters, we found atrophy beyond the medial temporal lobe to be characteristic of patients with MCI who will progress to dementia. Atrophy of structures such as the left lateral temporal lobe and left parietal cortex may independently predict conversion.

Hippocampal atrophy on MRI in frontotemporal lobar degeneration and Alzheimer’s disease

Background: Hippocampal atrophy on magnetic resonance imaging (MRI) is an early characteristic of Alzheimer’s disease. However, hippocampal atrophy may also occur in other dementias, such as frontotemporal lobar degeneration (FTLD). Objective: To investigate hippocampal atrophy on MRI in FTLD and its three clinical subtypes, in comparison with Alzheimer’s disease, using volumetry and a visual rating scale. Methods: 42 patients with FTLD (17 frontotemporal dementia, 13 semantic dementia, and 12 progressive non-fluent aphasia), 103 patients with Alzheimer’s disease, and 73 controls were included. Hippocampal volumetry and the easily applicable medial temporal lobe atrophy (MTA) rating scale were applied to assess hippocampal atrophy. Results: Multivariate analysis of variance for repeated measures showed an effect of diagnostic group on hippocampal volume. There was a significant diagnosis by side (left v right) interaction. Both FTLD and Alzheimer’s disease showed hippocampal atrophy compared with controls. Results of the visual MTA rating scale confirmed these findings. Within the FTLD subtypes there were marked differences in hippocampal atrophy. Frontotemporal dementia and semantic dementia showed bilateral hippocampal atrophy, and in semantic dementia the left hippocampus was smaller than in Alzheimer’s disease. No significant hippocampal atrophy was detected in non-fluent progressive aphasia. Conclusions: Hippocampal atrophy is not only a characteristic of Alzheimer’s disease but also occurs in FTLD. The three clinical subtypes of FTLD show different patterns of hippocampal atrophy.

Cerebral blood flow measured with 3D pseudocontinuous arterial spin-labeling MR imaging in Alzheimer disease and mild cognitive impairment: a marker for disease severity.

PURPOSE To compare quantitative cerebral blood flow (CBF) values in patients with Alzheimer disease (AD), patients with mild cognitive impairment (MCI), and subjects with subjective complaints by using a whole-brain three-dimensional (3D) pseudocontinuous arterial spin-labeling (ASL) technique at 3.0 T. MATERIALS AND METHODS The local institutional review board approved the study. All subjects provided informed consent. Whole-brain 3D fast spin-echo pseudocontinuous ASL images were acquired at 3.0 T in 71 patients with AD (mean age, 65 years ± 7; 55% women), 35 patients with MCI (mean age, 65 years ± 8; 42% women), and 73 subjects with subjective complaints (mean age, 60 years ± 9; 39% women) who visited a memory clinic. Analyses were performed by using both uncorrected maps and maps corrected for partial volume effects. Regional CBF was compared by using analyses of variance; permutation tests were used for voxel-wise comparisons. Associations with cognition (Mini-Mental State Examination) were investigated by using linear regression analyses. All analyses were corrected for age and sex. RESULTS Uncorrected CBF was decreased in patients with AD compared with subjects with subjective complaints (27 mL/100 g/min ± 5 vs 33 mL/100 g/min ± 5; P < .001), with strongest reductions in the parietal lobes (22 mL/100 g/min ± 6 vs 30 mL/100 g/min ± 5; ie, decrease of 27%). Corrected cortical CBF showed similar results. In patients with MCI, CBF was decreased in the precuneus and the parietal and occipital lobes compared with subjects with subjective complaints. Voxel-wise comparisons confirmed the region of interest-based findings, showing the largest CBF differences in the precuneus and bilateral parietal cortex. Uncorrected and corrected cortical CBF were associated with cognition across diagnostic groups (β = 0.46 and β = 0.42, P < .001) and within the AD group (β = 0.41 and β = 0.42, P < .001). CONCLUSION CBF measured with 3D pseudocontinuous ASL MR imaging helps detect functional changes in the prodromal and more advanced stages of AD and is a marker for disease severity.

Disrupted modular brain dynamics reflect cognitive dysfunction in Alzheimer's disease

The relation between pathology and cognitive dysfunction in dementia is still poorly understood, although disturbed communication between different brain regions is almost certainly involved. In this study we combine magneto-encephalography (MEG) and network analysis to investigate the role of functional sub-networks (modules) in the brain with regard to cognitive failure in Alzheimers disease. Whole-head resting-state (MEG) was performed in 18 Alzheimer patients (age 67 ± 9, 6 females, MMSE 23 ± 5) and 18 healthy controls (age 66 ± 9, 11 females, MMSE 29 ± 1). We constructed functional brain networks based on interregional synchronization measurements, and performed graph theoretical analysis with a focus on modular organization. The overall modular strength and the number of modules changed significantly in Alzheimer patients. The parietal cortex was the most highly connected network area, but showed the strongest intramodular losses. Nonetheless, weakening of intermodular connectivity was even more outspoken, and more strongly related to cognitive impairment. The results of this study demonstrate that particularly the loss of communication between different functional brain regions reflects cognitive decline in Alzheimers disease. These findings imply the relevance of regarding dementia as a functional network disorder.