Microbleeds are associated with depressive symptoms in Alzheimer's disease

INTRODUCTION

Co-occurrence of cerebrovascular disease and depression led to the "vascular depression hypothesis". White matter hyperintensities (WMHs) have been associated with depressive symptoms in population-based studies. We studied the association between small vessel disease and depressive symptoms in a memory clinic population.

METHODS

We included >2000 patients with subjective cognitive decline (SCD), mild cognitive impairment, and Alzheimer's disease (AD). Magnetic resonance imaging was rated for WMHs, lacunes, and microbleeds. Depressive symptoms were assessed using the Geriatric Depression Scale. We performed logistic regression analysis.

RESULTS

Depressive symptoms were present in AD: 17%; mild cognitive impairment: 25%; and SCD: 23%. SCD patients with WMHs showed higher propensity of depressive symptoms than AD patients with WMHs. AD patients with microbleeds were more likely to have depressive symptoms compared with AD patients without microbleeds (odds ratio = 1.70; 95% confidence interval: 1.08-2.68).

DISCUSSION

Microbleeds are associated with depressive symptoms in AD, supporting a potential role of cerebral amyloid angiopathy in the occurrence of depressive symptoms in AD.

MRI Visual Ratings of Brain Atrophy and White Matter Hyperintensities across the Spectrum of Cognitive Decline Are Differently Affected by Age and Diagnosis

Aim: To assess the associations of age and diagnosis with visual ratings of medial temporal lobe atrophy (MTA), parietal atrophy (PA), global cortical atrophy (GCA), and white matter hyperintensities (WMH) and to investigate their clinical value in a large memory clinic cohort. Methods: We included 2,934 patients (age 67 ± 9 years; 1,391 [47%] female; MMSE 24 ± 5) from the Amsterdam Dementia Cohort (1,347 dementia due to Alzheimer's disease [AD]; 681 mild cognitive impairment [MCI]; 906 controls with subjective cognitive decline). We analyzed the effect of age, APOE e4 and diagnosis on visual ratings using linear regression analyses. Subsequently, we compared diagnostic and predictive value in three age-groups (<65 years, 65-75 years, and >75 years). Results: Linear regression analyses showed main effects of age and diagnosis and an interaction age^*diagnosis for MTA, PA, and GCA. For MTA the interaction effect indicated steeper age effects in MCI and AD than in controls. PA and GCA increased with age in MCI and controls, while AD patients have a high score, regardless of age. For WMH we found a main effect of age, but not of diagnosis. For MTA, GCA and PA, diagnostic value was best in patients <65 years (optimal cut-off: ≥1). PA and GCA only discriminated in patients <65 years and MTA in patients <75 years. WMH did not discriminate at all. Taking into account APOE did not affect the identified optimal cut-offs. When we used these scales to predict progression in MCI using Cox proportional hazard models, only MTA (cut-off ≥2) had any predictive value, restricted to patients >75 years. Conclusion: Visual ratings of atrophy and WMH were differently affected by age and diagnosis, requiring an age-specific approach in clinical practice. Their diagnostic value seems strongest in younger patients.

Thinner temporal and parietal cortex is related to incident clinical progression to dementia in patients with subjective cognitive decline

INTRODUCTION

We aimed to investigate if thinner cortex of the Alzheimer's disease (AD)-signature region was related to clinical progression in patients with subjective cognitive decline (SCD).

METHODS

We included 302 SCD patients with clinical follow-up (≥1 year) and three-dimensional T1 magnetic resonance imaging. We estimated AD-signature cortical thickness, consisting of nine frontal, parietal, and temporal gyri and hippocampal volume. We used Cox proportional hazard models (hazard ratios and 95% confidence intervals) to evaluate cortical thickness in relation to clinical progression to mild cognitive impairment (MCI) or dementia.

RESULTS

After a follow-up of the mean (standard deviation) 3 (2) years, 49 patients (16%) showed clinical progression to MCI (n = 32), AD (n = 9), or non-AD dementia (n = 8). Hippocampal volumes, thinner cortex of the AD-signature (hazard ratio [95% confidence interval], 5 [2-17]) and various AD-signature subcomponents were associated with increased risk of clinical progression. Stratified analyses showed that thinner AD-signature cortex was specifically predictive for clinical progression to dementia but not to MCI.

DISCUSSION

In SCD patients, thinner regional cortex is associated with clinical progression to dementia.

Lower cerebral blood flow is associated with impairment in multiple cognitive domains in Alzheimer's disease

INTRODUCTION

We examined the association between decreased cerebral blood flow (CBF) and cognitive impairment in Alzheimer's disease (AD), mild cognitive impairment (MCI), and subjective cognitive decline (SCD).

METHODS

We included 161 AD, 95 MCI, and 143 SCD patients from the Amsterdam Dementia Cohort. We used 3-T pseudo-continuous arterial spin labeling to estimate whole-brain and regional partial volume-corrected CBF. Neuropsychological tests covered global cognition and five cognitive domains. Associations were investigated using linear regression analyses.

RESULTS

In the whole sample, reduced overall and regional CBF was associated with impairment in all cognitive domains. We found significant interactions between diagnosis and CBF for language and between diagnosis and parietal CBF for global cognition and executive functioning. Stratification showed that decreased CBF was associated with worse performance in AD patients but not in MCI or SCD.

DISCUSSION

Our results suggest that CBF may have potential as a functional marker of disease severity.

Application of Machine Learning to Arterial Spin Labeling in Mild Cognitive Impairment and Alzheimer Disease

Purpose To investigate whether multivariate pattern recognition analysis of arterial spin labeling (ASL) perfusion maps can be used for classification and single-subject prediction of patients with Alzheimer disease (AD) and mild cognitive impairment (MCI) and subjects with subjective cognitive decline (SCD) after using the W score method to remove confounding effects of sex and age. Materials and Methods Pseudocontinuous 3.0-T ASL images were acquired in 100 patients with probable AD; 60 patients with MCI, of whom 12 remained stable, 12 were converted to a diagnosis of AD, and 36 had no follow-up; 100 subjects with SCD; and 26 healthy control subjects. The AD, MCI, and SCD groups were divided into a sex- and age-matched training set (n = 130) and an independent prediction set (n = 130). Standardized perfusion scores adjusted for age and sex (W scores) were computed per voxel for each participant. Training of a support vector machine classifier was performed with diagnostic status and perfusion maps. Discrimination maps were extracted and used for single-subject classification in the prediction set. Prediction performance was assessed with receiver operating characteristic (ROC) analysis to generate an area under the ROC curve (AUC) and sensitivity and specificity distribution. Results Single-subject diagnosis in the prediction set by using the discrimination maps yielded excellent performance for AD versus SCD (AUC, 0.96; P < .01), good performance for AD versus MCI (AUC, 0.89; P < .01), and poor performance for MCI versus SCD (AUC, 0.63; P = .06). Application of the AD versus SCD discrimination map for prediction of MCI subgroups resulted in good performance for patients with MCI diagnosis converted to AD versus subjects with SCD (AUC, 0.84; P < .01) and fair performance for patients with MCI diagnosis converted to AD versus those with stable MCI (AUC, 0.71; P > .05). Conclusion With automated methods, age- and sex-adjusted ASL perfusion maps can be used to classify and predict diagnosis of AD, conversion of MCI to AD, stable MCI, and SCD with good to excellent accuracy and AUC values. ^© RSNA, 2016.

Lower cerebral blood flow is associated with faster cognitive decline in Alzheimer's disease

Objective

To determine whether lower cerebral blood flow (CBF) is associated with faster cognitive decline in patients with Alzheimer’s disease (AD).

Methods

We included 88 patients with dementia due to AD from the Amsterdam Dementia Cohort. Mean follow-up was 2 ± 1 years. Linear mixed models were used to determine associations of lower whole brain and regional pseudo-continuous arterial spin labelling measured CBF with rate of cognitive decline as measured with repeated mini-mental state examination (MMSE). Model 1 was adjusted for age, sex, and education. Model 2 was additionally adjusted for normalized gray matter volume, medial temporal lobe atrophy, white matter hyperintensities, microbleeds, and lacunes. Analyses were repeated after partial volume correction (PVC) of CBF. Statistical significance was set at p ≤ 0.05.

Results

Patients were 65 ± 7 years old, 44 (50 %) were women, and mean baseline MMSE was 22 ± 4. Annual decline (β[SE]) on the MMSE was estimated at -2.11 (0.25) points per year. Lower whole brain (β[SE]-0.50[0.25]; p ≤ 0.05) and parietal (β[SE]-0.59[0.25]; p < 0.05) CBF were associated with faster cognitive decline. PVC cortical CBF was not associated with cognitive decline.

Conclusions

Lower CBF, in particular in the posterior brain regions, may have value as a prognostic marker for rate of cognitive decline in AD.

Key points

• In AD, lower CBF is associated with more rapid cognitive decline.

• Decreasing CBF does not reach a plateau early in AD.

• PcASL-CFB has additive value to conventional structural MRI measures in AD.

Incident Cerebral Microbleeds in a Cohort of Intracerebral Hemorrhage

BACKGROUND AND PURPOSE

We aimed to identify prognostic and associated factors of incident cerebral microbleeds (CMBs) in intracerebral hemorrhage (ICH) survivors.

METHODS

Observational prospective cohort of 168 ICH survivors who underwent 1.5T magnetic resonance imaging at ICH onset and during follow-up (median scan interval, 3.4; interquartile range, 1.4-4.7) years. We used logistic regression adjusted for age, sex, and scan interval. Analyses were stratified according to the index ICH location (58 lobar ICH, 103 nonlobar ICH, excluding patients with multiple or unclassifiable ICH).

RESULTS

Eighty-nine (53%) patients had CMBs at ICH onset, and 80 (48%) exhibited incident CMBs during follow-up. Predictors of incident CMBs at ICH onset were ≥1 CMBs (adjusted odds ratio [aOR], 2.27; 95% confidence interval [CI], 1.18-4.35), old radiological macrohemorrhage (aOR, 6.78; 95% CI, 2.76-16.68), and CMBs in mixed location (aOR, 3.73; 95% CI, 1.67-8.31). When stratifying by ICH location, incident CMBs were associated in nonlobar ICH with incident lacunes (aOR, 2.86; 95% CI, 1.04-7.85) and with the use of antiplatelet agents (aOR, 2.89; 95% CI, 1.14-7.32). In lobar ICH, incident CMBs were associated with incident radiological macrohemorrhage (aOR, 9.76; 95% CI, 1.07-88.77).

CONCLUSIONS

Prognostic and associated factors of incident CMBs differed according to the index ICH location. Whereas in lobar ICH, incident CMBs were associated with hemorrhagic biomarkers, in nonlobar ICH, ischemic burden also increased. CMBs may be interesting biomarkers to monitor in randomized trials on restarting antithrombotic drugs after ICH.

Cerebral perfusion and glucose metabolism in Alzheimer's disease and frontotemporal dementia: two sides of the same coin?

OBJECTIVES

Alzheimer's disease (AD) and frontotemporal (FTD) dementia can be differentiated using [(18)F]-2-deoxy-2-fluoro-D-glucose (FDG)-PET. Since cerebral blood flow (CBF) is related to glucose metabolism, our aim was to investigate the extent of overlap of abnormalities between AD and FTD.

METHODS

Normalized FDG-PET and arterial spin labelling (ASL-MRI)-derived CBF was measured in 18 AD patients (age, 64 ± 8), 12 FTD patients (age, 61 ± 8), and 10 controls (age, 56 ± 10). Voxel-wise comparisons, region-of-interest (ROI), correlation, and ROC curve analyses were performed.

RESULTS

Voxel-wise comparisons showed decreased CBF and FDG uptake in AD compared with controls and FTD in both precuneus and inferior parietal lobule (IPL). Compared with controls and AD, FTD patients showed both hypometabolism and hypoperfusion in medial prefrontal cortex (mPFC). ASL and FDG were related in precuneus (r = 0.62, p < 0.001), IPL (r = 0.61, p < 0.001), and mPFC across groups (r = 0.74, p < 001). ROC analyses indicated comparable performance of perfusion and metabolism in the precuneus (AUC, 0.72 and 0.74), IPL (0.85 and 0.94) for AD relative to FTD, and in the mPFC in FTD relative to AD (both 0.68).

CONCLUSIONS

Similar patterns of hypoperfusion and hypometabolism were observed in regions typically associated with AD and FTD, suggesting that ASL-MRI provides information comparable to FDG-PET.

KEY POINTS

• Similar patterns of hypoperfusion and hypometabolism were observed in patients with dementia. • For both imaging modalities, parietal abnormalities were found in Alzheimer's disease. • For both imaging modalities, prefrontal abnormalities were found in frontotemporal dementia.

Prognostic Factors for Cognitive Decline After Intracerebral Hemorrhage

Background and Purpose—

Stroke and dementia are closely related, but no prospective study ever focused on poststroke cognitive decline in patients with intracerebral hemorrhage (ICH). We aimed to determine prognostic factors for cognitive decline in patients with ICH.

Methods—

We prospectively included 167 consecutive ICH survivors without preexisting dementia from the Prognosis of Intra-Cerebral Hemorrhage (PITCH) cohort. Median follow-up was 4 years (interquartile range, 2.3–5.4). We explored factors associated with cognitive decline using linear mixed models. Cognitive decline was determined based on repeated mini-mental state examination. We investigated each prognostic factor separately in univariate models. Next, we constructed clinical and radiological multivariable models. In a sensitivity analysis, we excluded patients with preexisting cognitive impairment.

Results—

Median age was 64 (interquartile range, 53–75) years, 69 (41%) patients were women, and median mini-mental state examination at 6 months was 27 (interquartile range, 23–29). Overall, 37% of the patients declined during follow-up. Factors associated with cognitive decline in univariate analyses were previous stroke or transient ischemic attack, preexisting cognitive impairment, microbleed presence, severity of white matter hyperintensities, and severity of cortical atrophy. In multivariable analyses, previous stroke or transient ischemic attack (β [SE], −0.55 [0.23]; P <0.05), preexisting cognitive impairment (β [SE], −0.56 [0.25]; P <0.01), and severity of cortical atrophy (β [SE], −0.50 [0.19]; P <0.01) remained independent prognostic factors. In patients without preexisting cognitive impairment (n=139), severity of cortical atrophy (β [SE], −0.38 [0.17]; P <0.05) was the only prognostic factor for future cognitive decline.

Conclusions—

Prognostic factors for cognitive decline after ICH are already present when ICH occurs, suggesting a process of ongoing cognitive impairment instead of new-onset decline induced by the ICH itself.

White Matter Hyperintensities Relate to Clinical Progression in Subjective Cognitive Decline

BACKGROUND AND PURPOSE

In patients with subjective cognitive decline, we assessed whether small vessel disease was associated with clinical progression and cognitive decline.

METHODS

We included 334 patients with subjective cognitive decline. Follow-up was 3±2 years.

RESULTS

Fifty-three (16%) patients progressed clinically to mild cognitive impairment or dementia. White matter hyperintensities were associated with clinical progression and with annual decline on memory, attention, executive functioning, and global cognition. Microbleeds and lacunes were not associated with clinical progression or cognitive decline.

CONCLUSIONS

In patients with subjective cognitive decline, patients with white matter hyperintensities are at increased risk of clinical progression and cognitive decline.

Cerebral perfusion in the predementia stages of Alzheimer's disease

Objectives

To investigate arterial spin-labelling (ASL) cerebral blood flow (CBF) changes in predementia stages of Alzheimer’s disease (AD).

Methods

Data were obtained from 177 patients with subjective complaints, mild cognitive impairment and AD from the Amsterdam Dementia Cohort. AD stages were based on diagnosis and cerebrospinal fluid biomarkers amyloid-β (Aβ) and total-tau (tau). General-linear-models were used to assess relationships between AD stages and total and regional CBF, correcting for age and sex.

Results

Decreasing CBF was related to more advanced AD stages in all supratentorial regions (p for trend < 0.05). Post-hoc testing revealed that CBF was lower in AD compared to controls and stage-1 predementia patients (i.e. abnormal Aβ and normal tau) in temporal and parietal regions, and compared to stage-2 predementia patients (i.e. abnormal Aβ and tau) in temporal regions. CBF values of stage-2 predementia patients were numerically in between those of stage-1 predementia patients and AD.

Conclusion

The continuing decrease of CBF along the continuum of AD indicates the potential of ASL-CBF as a measure for disease progression.

Key Points

• Decreasing CBF relates to more advanced AD stages in all supratentorial regions.

• The reduction of CBF does not reach a bottom level.

• ASL-CBF has potential as a measure for disease progression in AD.

Associations between cerebral small-vessel disease and Alzheimer disease pathology as measured by cerebrospinal fluid biomarkers

IMPORTANCE

It remains unclear if and how associations between cerebral small-vessel disease and Alzheimer disease (AD) pathology lead to cognitive decline and dementia.

OBJECTIVE

To determine associations between small-vessel disease and AD pathology.

DESIGN, SETTING, AND PARTICIPANTS

Cross-sectional study from January 2002 to December 2012 using the memory clinic-based Amsterdam Dementia Cohort. The study included 914 consecutive patients with available cerebrospinal fluid (CSF) and magnetic resonance imaging; 547 were patients diagnosed as having AD (54% female, mean [SD], 67 [8]; Mini-Mental State Examination score, mean [SD], 21 [5]), 30 were patients diagnosed as having vascular dementia (37% female, mean [SD], 76 [9]; Mini-Mental State Examination score, mean [SD], 24 [4]), and 337 were control participants with subjective memory complaints (42% female, mean [SD], 59 [59]; Mini-Mental State Examination score, mean [SD], 28 [2]). Linear regressions were performed with CSF biomarkers (log transformed) as dependent variables and magnetic resonance imaging measures (dichotomized) as independent, adjusted for sex, age, mediotemporal lobe atrophy, and diagnosis. An interaction term for diagnosis by magnetic resonance imaging measures was used for estimates per diagnostic group.

MAIN OUTCOMES AND MEASURES

We examined the associations of magnetic resonance imaging white matter hyperintensities (WMH), lacunes, microbleeds with CSF β-amyloid 42 (Aβ42), total tau, and tau phosphorylated at threonine 181 (P-tau181) as well as for a subset of apolipoprotein E (APOE) ε4 carriers and noncarriers.

RESULTS

Microbleed presence was associated with lower CSF Aβ42 in AD and vascular dementia (standardized beta = -0.09, P = .003; standardized beta = -0.30, P = .01), and higher CSF tau in controls (standardized beta = 0.10, P = .03). There were no effects for P-tau181. The presence of WMH was associated with lower Aβ42 in control participants and patients with vascular dementia (standardized beta = -0.18, P = .002; standardized beta = -0.32, P = .02) but not in patients with AD. There were no effects for tau or P-tau181. The presence of lacunes was associated with higher Aβ42 in vascular dementia (standardized beta = 0.17, P = .07) and lower tau in AD (standardized beta = -0.07, P = .05) but there were no effects for Aβ42 or P-tau181. Stratification for apolipoprotein E genotype revealed that these effects were mostly attributable to ε4 carriers.

CONCLUSIONS AND RELEVANCE

Deposition of amyloid appears aggravated in patients with cerebral small-vessel disease, especially in apolipoprotein E ε4 carriers, providing evidence for pathophysiological synergy between these 3 biological factors.

Specific risk factors for microbleeds and white matter hyperintensities in Alzheimer's disease

We investigated whether microbleeds and white matter hyperintensities (WMH) in Alzheimer's disease (AD) associate more with conventional vascular risk factors or with risk factors that reflect amyloid burden. A total of 371 patients with probable AD were included. WMH (Fazekas 2 or 3) were present in 107 (29%) patients and microbleeds were seen in 98 (26%). Patients with both microbleeds and WMH were older and presented more frequently with lacunes and multiple microbleeds than patients with microbleeds in isolation (all p < 0.05). Using multivariate regression models, we found that WMH presence showed independent associations with age, hypertension, current smoking, and lacune presence. Microbleeds were independently associated with male gender, higher blood pressure, lower cerebrospinal fluid Aβ42, and apolipoprotein E ε4 homozygosity. Separate analyses for microbleeds according to their location showed that these associations were driven by microbleeds in lobar locations. Our results suggest that, unlike WMH, microbleeds in AD are particularly associated with additional amyloid burden, and as such, may relate to cerebral amyloid angiopathy.