Ferreira, Daniel

Abstract Background Subjective cognitive decline (SCD) has gained recent interest as a potential harbinger of neurodegenerative diseases such as Alzheimer’s disease (AD) and cerebrovascular disease (CVD). In addition, SCD can be related to depressive symptomatology. However, the association between AD and CVD biomarkers, depressive symptomatology, and SCD is still unclear. We investigated the association of AD and CVD biomarkers and depressive symptomatology with SCD in individuals with subjective memory complaints (SCD-memory group) and individuals with subjective concentration complaints (SCD-concentration group). Methods We recruited a population-based cohort of 217 individuals (all aged 70 years, 53% female participants, 119 SCD-memory individuals, 23 SCD-concentration individuals, and 89 controls). AD and CVD were assessed through cerebrospinal fluid levels of the Aβ42/40 ratio and phosphorylated tau, and white matter signal abnormalities on magnetic resonance imaging, respectively. Associations between biomarkers, depressive symptomatology, and SCD were tested via logistic regression and correlation analyses. Results We found a significant association between depressive symptomatology with SCD-memory and SCD-concentration. Depressive symptomatology was not associated with AD and CVD biomarkers. Both the phosphorylated tau biomarker and depressive symptomatology predicted SCD-memory, and the Aβ42/40 ratio and depressive symptomatology predicted SCD-concentration. Conclusions The role of depressive symptomatology in SCD may differ depending on the stage within the spectrum of preclinical AD (as determined by amyloid-beta and tau positivity), and does not seem to reflect AD pathology. Our findings contribute to the emerging field of subclinical depressive symptomatology in SCD and clarify the association of different types of subjective complaints with distinct syndromic and biomarker profiles.

AbstractBackgroundDementia with Lewy bodies (DLB) is the second most common neurodegenerative dementia, after Alzheimer’s disease (AD). While alpha‐synuclein pathology is the hallmark of DLB, AD and cerebrovascular pathologies are common in DLB patients. However, the contribution of these pathologies towards neurodegeneration in DLB is largely unknown. We investigated associations of amyloid‐beta, tau, and cerebrovascular biomarkers with regional gray matter (GM) volume in DLB patients and cognitively unimpaired (CU) controls.MethodWe included 30 DLB patients (69.3±10.2 years old, 87% men) and 100 CU individuals balanced on age and sex (Table 1). We used 11C‐Pittsburgh Compound‐B (PiB) and 18F‐Flortaucipir positron emission tomography (PET) to assess amyloid‐beta and tau in‐vivo. We used structural MRI to assess white matter hyperintensity (WMH) volume, a marker of cerebrovascular lesion load, and regional GM volume (a marker of neurodegeneration). We used correlations and ANCOVA in the whole dataset and structural equation modelling in the DLB patients to investigate associations of WMH volume and regional amyloid‐beta and tau PET standardized uptake value ratios (SUVRs) with regional GM volume.ResultDLB patients showed lower GM volume across all cortical and subcortical regions except for cuneus, putamen, and pallidum (Fig.1). Greater WMH volume was associated with lower volume in the medial and orbital frontal cortices, insula, fusiform cortex, and thalamus in DLB patients (Fig.2). Greater PiB SUVR was associated with lower volume in the inferior temporal cortex, while Flortaucipir SUVR did not correlate with GM volume (Fig.2). Structural equation modelling showed that higher age and positivity for the APOE e4 genotype were significant predictors of greater WMH, and WMH in turn was a significant predictor of GM volume in medial and orbital frontal cortices, insula, and inferior temporal cortex (Fig.3). In contrast, we observed two distinct paths for the fusiform cortex, with age having an effect through PiB and Flortaucipir SUVRs on the one path, and through WMH on the other path (Fig.3).ConclusionDLB patients have widespread cortical atrophy, most of which likely is influenced by alpha‐synuclein pathology. Although amyloid‐beta, tau, and cerebrovascular pathologies often coexist in DLB, their contributions to neurodegeneration seem to be region specific.

AbstractBackgroundPure Alzheimer’s disease (AD), characterized by combined amyloid and tau pathology, is not the most prevalent form of the disease as non‐AD pathologies (e.g., alpha‐synuclein and TDP‐43) are commonly observed postmortem. The role of AD and non‐AD pathologies is unclear in relation to disease heterogeneity. Therefore, we investigated whether antemortem MRI‐based atrophy subtypes of AD differ in postmortem neuropathological features and comorbid non‐AD pathologies.MethodsWe selected individuals from the ADNI with antemortem MRI evaluating brain atrophy within 2 years before death; antemortem diagnosis of AD dementia/mild cognitive impairment; and a postmortem‐confirmed AD neuropathologic change. Antemortem atrophy subtypes were modeled as continuous phenomena using a recent conceptual framework: typicality (spanning limbic predominant AD to hippocampal sparing AD) and severity (spanning typical AD to minimal atrophy AD). Postmortem neuropathological evaluation included AD hallmarks (amyloid‐beta, tau), non‐AD pathologies (alpha‐synuclein, TDP‐43) and concomitant pathological burden. Partial correlations assessed the associations between antemortem atrophy subtype dimensions and postmortem neuropathological outcomes.ResultsIn 31 individuals (mean age = 80y, 26% females), antemortem typicality was significantly associated with neuropathological features: amyloid‐beta (rho = ‐0.39 overall), tau (rho = ‐0.38 regionally), neuritic plaque density (rho = ‐0.4 overall), alpha‐synuclein (rho = ‐0.39 regionally), TDP‐43 (rho = ‐0.49 overall), and concomitance pathological burden (rho = ‐0.59 regionally). This suggests that limbic predominant AD was associated with higher burden of these pathologies compared to hippocampal sparing AD. Antemortem severity was significantly associated with concomitant pathological burden (rho = ‐0.43 regionally), such that typical AD showed higher burden than minimal atrophy AD.ConclusionsBased on our direct antemortem‐to‐postmortem validation, we hypothesize that: (a) typicality and severity in atrophy reflect differential aspects of susceptibility of the brain to AD and non‐AD pathologies; (b) limbic predominant AD and typical AD subtypes may share similar biological pathways, making them more vulnerable to the investigated AD and non‐AD pathologies compared to hippocampal sparing AD, which may follow a different biological pathway. Our findings provide a deeper understanding of associations of atrophy subtypes in AD with different pathologies, enhancing prevailing knowledge of biological heterogeneity in AD.

AbstractBackgroundCardiometabolic disorders (CMD) and Mild Cognitive Impairment (MCI) have been associated with an increased risk of developing dementia. However, brain glucose metabolism has not been compared between patients with CMD and MCI, and little is known about its associations with global cognitive performance. Here we examined regional brain 18F – FDG uptake in patients with CMD and MCI, and analyzed its potential associations with global cognitive performance.Methods55 patients with increased risk for developing dementia were recruited (MCI = 22; CMD = 33) in this cross‐sectional study. As a measure of brain glucose metabolism, PET/CT was performed and the mean uptake value in brain regions of interest (ROI) was obtained and standardized by whole brain uptake. Global cognitive performance was examined using the Mini‐Mental State Examination (MMSE). Group differences in brain metabolism and cognitive performance were examined. We conducted separate linear regression models considering standardized MMSE as the dependent variable, and mean 18F – FDG uptake in each of the ROI (and its CMD/MCI group‐interactions) as independent variables. Our models were adjusted by age, gender, years of education, and presence of at least one APOE e4 allele, and corrected for multiple testing with the False Discovery Ratio (FDR < 0.01).ResultsThe CMD and MCI groups were comparable in age, gender, education, and mean 18F‐FDG uptake across all the ROIs, but significantly different in MMSE (Table 1). Adjusted models for global cognitive performance showed significant group interactions with the mean 18F – FDG uptake in bilateral caudate and hippocampus, as well as in left‐hemisphere amygdala, cuneus, fusiform gyrus, and opercular part of the inferior frontal gyrus. Thus, significant negative associations of 18F – FDG uptake in the above ROIs and cognitive performance was observed in the MCI group (Figure 1 & Table 2).ConclusionsIn MCI patients, reduced global cognitive performance was significantly associated with high brain glucose metabolism in bilateral caudate and hippocampus, and with the left fusiform gyrus, cuneus, and inferior frontal gyrus (opercular part). These asymmetric associations between high metabolism and low cognitive performance could suggest compensatory effects in MCI patients but further research is needed to confirm this hypothesis.

AbstractBackgroundSubjective cognitive decline (SCD) is topic of mayor interest when identifying individuals at risk for future cognitive impairment and dementia. The degeneration of the cholinergic system is linked to the onset of cognitive symptoms in mild cognitive impairment (MCI) and dementia. Yet, it is uncertain whether the neurodegeneration of the cholinergic system is already present in SCD individuals. This review is the first to synthetize the available data on the association of SCD with multiple markers of degeneration in the cholinergic system.MethodFollowing the PRISMA guidelines, original articles focused on the association of SCD and the cholinergic system were extracted from three databases: Pubmed, WOS and Scopus, in November 2021. Two researchers reviewed the studies independently in a 2‐stepwise approach. The quality of the studies and risk of bias were assessed using FLC 3.0, that allows to systematically evaluate the studies and summarize them easily.ResultAmong 119 studies found in our systematic search, 11 were included in the current review. Seven were cross‐sectional and 4 had a longitudinal design. Most of the studies operationalized SCD based on amnestic cognitive complaints (n = 9, 82%). The cholinergic system measures were based on neuroimaging markers for volume of the basal forebrain and/or functional connectivity, transcranial magnetic stimulation, or biofluid markers (i.e. cerebrospinal fluid (CSF) and plasma). The studies focused on association of SCD with basal brain atrophy, 75% reported reduce volumes in SCD; From those focused on functional connectivity of the cholinergic system, 33% reported poorer connectivity in SCD.ConclusionBased on scientific evidence, neurodegeneration of the cholinergic system is already evident during SCD. Using multiple cholinergic biomarkers, degeneration of cholinergic system in SCD seems to occur with significant structural and functional degeneration of cholinergic nuclei in the basal forebrain and their connections with other brain areas. These findings have implications on identifying individuals with increased vulnerability to cognitive impairment and for targeting individuals that might benefit from cholinergic‐target treatments. Further research is needed to elucidate potential contributors to the cholinergic degeneration in SCD and its impact on cognition and clinical progression.

AbstractBackgroundThe relation between cerebrospinal fluid (CSF) biomarkers of Alzheimer’s disease (AD) and neurodegeneration and brain regions of relevance for very early pathological processes in AD is poorly understood. This study aims to investigate cross‐sectional associations between the CSF biomarkers amyloid‐β1‐42 (Aβ42), total‐tau (T‐tau), phosphorylated‐tau (P‐tau), neurogranin (Ng) and neurofilament light (NfL) protein and normalized intracranial volumes of the hippocampus, amygdala, entorhinal cortex and basal forebrain observed on structural magnetic resonance imaging (MRI) in cognitively healthy 70‐year olds from the general population.MethodThe analyses included 226 cognitively normal individuals (clinical dementia rating of zero), examined during 2014‐2016 as part of the population‐based Gothenburg H70 Birth Cohort Studies in Sweden. The study participants had undergone lumbar puncture examination to extract CSF samples for biomarker measurements (pg/mL), MRI scan (volumes in mm³), and apolipoprotein E (APOE) genotyping. Linear regressions, adjusted for sex, were used to examine potential associations.ResultElevated CSF T‐tau, P‐tau, and Ng concentrations were associated with smaller volumes of the hippocampus, amygdala, and entorhinal cortex among individuals with amyloid pathology (p = 8×10−8 – 0.04) and among APOE ε4 carriers (p = 8×10−5 – 0.04). In addition, elevated CSF T‐tau, P‐tau, and Ng concentrations were associated with larger basal forebrain among individuals without pathological Aβ42 (p = 0.001 – 0.01) and among APOE ε4 non‐carriers (p = 0.004 – 0.02).ConclusionThe results of our study suggest that among cognitively normal adults who have amyloid pathology or genetic susceptibility to AD, there are associations between axonal degeneration, tangle pathology, and synapse loss and decreased volumes of AD vulnerable brain regions. The associations between elevated CSF biomarkers and larger basal forebrain in cognitively normal individuals were unexpected, but could possibly be explained by compensatory mechanisms or an inflammatory response (generating neuronal or glial swelling) as a very early reaction to the presence of increased levels of tau and Ng. Our findings highlight the clinical pathophysiological relevance of CSF biomarkers of AD and neurodegeneration and how they relate to AD specific brain regions seen on structural MRI in 70‐year‐olds that may be at risk to develop dementia.

AbstractIntroductionOperationalized research criteria for mild cognitive impairment with Lewy bodies (MCI‐LB) were published in 2020. The aim of this systematic review and meta‐analysis was to review the evidence for the diagnostic clinical features and biomarkers in MCI‐LB set out in the criteria.MethodsMEDLINE, PubMed, and Embase were searched on 9/28/22 for relevant articles. Articles were included if they presented original data reporting the rates of diagnostic features in MCI‐LB.ResultsFifty‐seven articles were included. The meta‐analysis supported the inclusion of the current clinical features in the diagnostic criteria. Evidence for striatal dopaminergic imaging and meta‐iodobenzylguanidine cardiac scintigraphy, though limited, supports their inclusion. Quantitative electroencephalogram (EEG) and fluorodeoxyglucose positron emission tomography (PET) show promise as diagnostic biomarkers.DiscussionThe available evidence largely supports the current diagnostic criteria for MCI‐LB. Further evidence will help refine the diagnostic criteria and understand how best to apply them in clinical practice and research.Highlights A meta‐analysis of the diagnostic features of MCI‐LB was carried out. The four core clinical features were more common in MCI‐LB than MCI‐AD/stable MCI. Neuropsychiatric and autonomic features were also more common in MCI‐LB. More evidence is needed for the proposed biomarkers. FDG‐PET and quantitative EEG show promise as diagnostic biomarkers in MCI‐LB.

Abstract Objectives Sex differences permeate many aspects of dementia with Lewy bodies (DLB), including epidemiology, pathogenesis, disease progression, and symptom manifestation. However, less is known about potential sex differences in patterns of neurodegeneration in DLB. Here, we test whether grey matter networks also differ between female and male DLB patients. To assess the specificity of these sex differences to DLB, we additionally investigate sex differences in healthy controls (HCs). Methods A total of 119 (68.7 ± 8.4 years) male and 45 female (69.9 ± 9.1 years) DLB patients from three European centres and the Mayo Clinic were included in this study. Additionally, we included 119 male and 45 female age-matched HCs from the Mayo Clinic. Grey matter volumes of 58 cortical, subcortical, cerebellar, and pontine brain regions derived from structural magnetic resonance images were corrected for age, intracranial volume, and centre. Sex-specific grey matter networks for DLB patients and HCs were constructed by correlating each pair of brain regions. Network properties of the correlation matrices were compared between sexes and groups. Additional analyses were conducted on W-scored data to identify DLB-specific findings. Results Networks of male HCs and male DLB patients were characterised by a lower nodal strength compared to their respective female counterparts. In comparison to female HCs, the grey matter networks of male HCs showed a higher global efficiency, modularity, and a lower number of modules. None of the global and nodal network measures showed significant sex differences in DLB. Conclusions The disappearance of sex differences in the structural grey matter networks of DLB patients compared to HCs may indicate a sex-dependent network vulnerability to the alpha-synuclein pathology in DLB. Future studies might investigate whether the differences in structural network measures are associated with differences in cognitive scores and clinical symptoms between the sexes.

Abstract Background and objectives. Sex is an important contributing factor to neuroimaging phenotypes in brain disorders. However, little is known about the contribution of sex differences to the neurodegeneration in dementia with Lewy bodies (DLB). We investigated sex differences in probable DLB patients by using both visual rating scales of lobar atrophy and automated estimations of regional atrophy. Methods. We included 442 probable DLB patients from the European-DLB consortium and the Mayo Clinic who have magnetic resonance imaging (MRI) data available. We assessed sex differences and the sex-by-age interaction in two largely independent samples through visual rating scales of lobar atrophy (n = 333; mean age 73 ± 8 years, 62% males) and automated regional estimations of gray matter (GM) volume and mean cortical thickness (CTh) (n = 165; mean age 69 ± 9 years, 72% males). We used binary logistic regression and ANOVA for statistical analysis. Results. We found a statistically significantly higher likelihood of frontal atrophy measured by the global cortical atrophy-frontal subscale (GCA-F) in males (40% of males had an abnormal GCA-F score versus 29% of females, P-value = 0.006). Using automated estimations, we found smaller GM volumes in 6 cortical regions in males compared with females, as well as smaller GM volume in the entorhinal cortex and thinner olfactory cortices in females, compared with males. The sex-by-age interaction showed statistically significant results in 6 cortical volumes and 7 mean CTh estimations (P-value ≤ 0.05), accentuated in the right middle frontal gyrus (FDR-adjusted P-value = 0.047). These cross-sectional interactions indicated that while females have statistically significantly less atrophy than males at younger ages, differences become non-significant at older ages, with females showing the same level of atrophy than males around the age of 75. Conclusions. This study demonstrates sex differences on brain atrophy in probable DLB. While male DLB patients have a more widespread pattern of cortical atrophy at younger ages, these sex differences tend to disappear with increasing age. Longitudinal studies will help establish these cross-sectional findings and inform on sex and age considerations to the use of MRI in clinical routine, as the field moves towards precision medicine.

Abstract Background Donepezil is an approved therapy for the treatment of Alzheimer’s disease (AD). Results across clinical trials have been inconsistent, which may be explained by design-methodological issues, the pathophysiological heterogeneity of AD, and diversity of included study participants. We investigated whether response to Donepezil differs in mild cognitive impaired (MCI) individuals demonstrating different magnetic resonance imaging (MRI) subtypes. Methods From the Hippocampus Study double-blind, randomized clinical trial, we included 173 MCI individuals (donepezil = 83; placebo = 90) with structural MRI data, at baseline and at clinical follow-up assessments (6-12-month). Efficacy outcomes were the annualized percentage change (APC) in hippocampal, ventricular, and total grey matter volumes, as well as in the AD cortical thickness signature. Participants were classified into MRI subtypes as typical-AD, limbic-predominant, hippocampal-sparing, or minimal atrophy at baseline. We compared two subtyping approaches: the conventional categorical approach and an approach based on continuous dimensions. Results Donepezil treated MCI individuals showed slower atrophy rates compared to the placebo group, but only if they belonged to the minimal atrophy or hippocampal sparing subtypes. Importantly, only the continuous subtyping approach, but not the conventional categorical approach, captured this differential response. Conclusions Our data suggest that individuals with MCI, with hippocampal sparing or minimal atrophy subtype, may have improved benefit from donepezil, as compared with MCI individuals with typical or limbic predominant patterns of atrophy. The newly proposed continuous subtyping approach may have advantages compared to the conventional categorical approach. Future research is warranted to demonstrate the potential of subtype stratification for disease prognosis and response to treatment. Trial registration: Clinical Trial.gov Number: NCT00403520, Submission Date: November 21, 2006.