Publications by authors named "Roeske S"

Introduction: The beneficial effects of amyloid beta 1-38, or Aβ(1-38), on Alzheimer's disease (AD) progression in humans in vivo remain controversial. We investigated AD patients' cerebrospinal fluid (CSF) Aβ(1-38) and AD progression.

Methods: Cognitive function and diagnostic change were assessed annually for 3 years in 177 Aβ-positive participants with subjective cognitive decline (SCD), mild cognitive impairment (MCI), and dementia from the German Center for Neurodegenerative Diseases (DZNE) longitudinal cognitive impairment and dementia study (DELCODE) cohort using the Mini-Mental State Examination (MMSE), Preclinical Alzheimer's Cognitive Composite (PACC), Clinical Dementia Rating (CDR), and National Institute of Neurological and Communicative Disorders and Stroke-Alzheimer's Disease and Related Disorders Association (NINCDS-ADRDA) criteria.

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Background: Quantification of Amyloid beta (Aβ) oligomers in plasma enables early diagnosis of Alzheimer's Disease (AD) and improves our understanding of underlying pathologies. However, quantification necessitates an extremely sensitive and selective technology because of very low Aβ oligomer concentrations and possible interference from matrix components.

Methods: In this report, we developed and validated a surface-based fluorescence distribution analysis (sFIDA) assay for quantification of Aβ oligomers in plasma.

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Article Synopsis
  • The study investigated how well automated transcriptions match manual transcriptions in a telephone chatbot-based semantic verbal fluency test involving different cognitive states.
  • Analysis of 78 cases showed a strong correlation in word counts between the two transcription methods, with a 93% probability that differences stayed within a minimally important range, although qualitative features showed only fair agreement.
  • Results indicate that automated speech recognition is a reliable tool for assessing both quantitative and qualitative speech features in cognitively impaired individuals, highlighting its potential usefulness in remote evaluations.
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Background: Cognitive reserve (CR) is considered a protective factor for cognitive function and may explain interindividual differences of cognitive performance given similar levels of neurodegeneration, e.g., in Alzheimer´s disease.

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Minimally invasive biomarkers are urgently needed to detect molecular pathology in frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS). Here, we show that plasma extracellular vesicles (EVs) contain quantifiable amounts of TDP-43 and full-length tau, which allow the quantification of 3-repeat (3R) and 4-repeat (4R) tau isoforms. Plasma EV TDP-43 levels and EV 3R/4R tau ratios were determined in a cohort of 704 patients, including 37 genetically and 31 neuropathologically proven cases.

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Single-value scores reflecting the deviation from (FADE score) or similarity with (SAME score) prototypical novelty-related and memory-related functional MRI activation patterns in young adults have been proposed as imaging biomarkers of healthy neurocognitive ageing. Here, we tested the utility of these scores as potential diagnostic and prognostic markers in Alzheimer's disease (AD) and risk states like mild cognitive impairment (MCI) or subjective cognitive decline (SCD). To this end, we analysed subsequent memory functional MRI data from individuals with SCD, MCI and AD dementia as well as healthy controls and first-degree relatives of AD dementia patients (AD-rel) who participated in the multi-centre DELCODE study (n = 468).

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Objectives: Impaired perivascular clearance has been suggested as a contributing factor to the pathogenesis of Alzheimer disease (AD). However, it remains unresolved when the anatomy of the perivascular space (PVS) is altered during AD progression. Therefore, this study investigates the association between PVS volume and AD progression in cognitively unimpaired (CU) individuals, both with and without subjective cognitive decline (SCD), and in those clinically diagnosed with mild cognitive impairment (MCI) or mild AD.

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Neuroinflammation is a hallmark of Alzheimer's disease (AD) and both positive and negative associations of individual inflammation-related markers with brain structure and cognitive function have been described. We aimed to identify inflammatory signatures of CSF immune-related markers that relate to changes of brain structure and cognition across the clinical spectrum ranging from normal aging to AD. A panel of 16 inflammatory markers, Aβ42/40 and p-tau181 were measured in CSF at baseline in the DZNE DELCODE cohort (n = 295); a longitudinal observational study focusing on at-risk stages of AD.

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Introduction: We investigated the association of inflammatory mechanisms with markers of Alzheimer's disease (AD) pathology and rates of cognitive decline in the AD spectrum.

Methods: We studied 296 cases from the Deutsches Zentrum für Neurodegenerative Erkrankungen Longitudinal Cognitive Impairment and Dementia Study (DELCODE) cohort, and an extension cohort of 276 cases of the Alzheimer's Disease Neuroimaging Initiative study. Using Bayesian confirmatory factor analysis, we constructed latent factors for synaptic integrity, microglia, cerebrovascular endothelial function, cytokine/chemokine, and complement components of the inflammatory response using a set of inflammatory markers in cerebrospinal fluid.

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Background: Sustained environmental enrichment (EE) through a variety of leisure activities may decrease the risk of developing Alzheimer's disease. This cross-sectional cohort study investigated the association between long-term EE in young adulthood through middle life and microstructure of fiber tracts associated with the memory system in older adults.

Methods: = 201 cognitively unimpaired participants (≥ 60 years of age) from the DZNE-Longitudinal Cognitive Impairment and Dementia Study (DELCODE) baseline cohort were included.

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Neuroimaging markers based on Magnetic Resonance Imaging (MRI) combined with various other measures (such as genetic covariates, biomarkers, vascular risk factors, neuropsychological tests etc.) might provide useful predictions of clinical outcomes during the progression towards Alzheimer's disease (AD). The use of multiple features in predictive frameworks for clinical outcomes has become increasingly prevalent in AD research.

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Background: Atrophy of cholinergic basal forebrain (BF) nuclei is a frequent finding in magnetic resonance imaging (MRI) volumetry studies that examined patients with prodromal or clinical Alzheimer's disease (AD), but less clear for individuals in earlier stages of the clinical AD continuum.

Objective: To examine BF volume reductions in subjective cognitive decline (SCD) participants with AD pathologic changes.

Methods: The present study compared MRI-based BF volume measurements in age- and sex-matched samples of N = 24 amyloid-positive and N = 24 amyloid-negative SCD individuals, based on binary visual ratings of Florbetaben positron emission tomography (PET) measurements.

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Introduction: It remains unclear whether functional brain networks are consistently altered in individuals with subjective cognitive decline (SCD) of diverse ethnic and cultural backgrounds and whether the network alterations are associated with an amyloid burden.

Methods: Cross-sectional resting-state functional magnetic resonance imaging connectivity (FC) and amyloid-positron emission tomography (PET) data from the Chinese Sino Longitudinal Study on Cognitive Decline and German DZNE Longitudinal Cognitive Impairment and Dementia cohorts were analyzed.

Results: Limbic FC, particularly hippocampal connectivity with right insula, was consistently higher in SCD than in controls, and correlated with SCD-plus features.

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Background: In preclinical Alzheimer's disease, it is unclear why some individuals with amyloid pathologic change are asymptomatic (stage 1), whereas others experience subjective cognitive decline (SCD, stage 2). Here, we examined the association of stage 1 vs. stage 2 with structural brain reserve in memory-related brain regions.

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Background: Cognitive reserve (CR) explains inter-individual differences in the impact of the neurodegenerative burden on cognitive functioning. A residual model was proposed to estimate CR more accurately than previous measures. However, associations between residual CR markers (CRM) and functional connectivity (FC) remain unexplored.

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Article Synopsis
  • Several lifestyle factors, particularly occupational cognitive requirements (OCR), may protect against Alzheimer's disease (AD) by potentially enhancing brain maintenance, brain reserve, or cognitive reserve throughout a person's life.
  • The study analyzed data from two population-based cohorts to understand how OCR interacts with genetic and biomarker factors related to cognitive decline and dementia onset.
  • Results indicated that higher OCR scores correlate with reduced cognitive decline risk, delayed onset of Alzheimer's, and relationships with brain structure and memory function, although OCR did not significantly affect Alzheimer's disease biomarkers over time.
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  • Alzheimer's disease (AD) affects brain connectivity, but how lifelong experiences (cognitive reserve or CR) relate to this is not well-understood.
  • A study analyzed brain scans of 228 participants, including healthy individuals and those at various AD stages, focusing on the default-mode network's connectivity.
  • Results showed that higher lifetime experiences scores were linked to better connectivity in the brain's default-mode network, suggesting that engaging in various activities may help preserve cognitive function even as memory declines.
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Background: A brief bedside test has recently been introduced by Hoche et al. (Brain, 2018) to screen for the Cerebellar Cognitive Affective Syndrome (CCAS) in patients with cerebellar disease.

Objective: This multicenter study tested the ability of the CCAS-Scale to diagnose CCAS in individual patients with common forms of hereditary ataxia.

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Background: Parkinson's disease (PD) is associated with various non-motor symptoms, including cognitive deterioration.

Objective: Here, we used data from the DEMPARK/LANDSCAPE cohort to describe the association between progression of cognitive profiles and the PD motor phenotypes: postural instability and gait disorder (PIGD), tremor-dominant (TR-D), and not-determined (ND).

Methods: Demographic, clinical, and neuropsychological six-year longitudinal data of 711 PD-patients were included (age: M = 67.

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Background: Complete and correct documentation of diagnosis and procedures is essential for adequate health provider reimbursement in diagnosis-related group (DRG) systems. The objective of this study was to investigate whether daily monitoring and semiautomated proposal optimization of DRG coding (precoding) is associated with higher reimbursement per hospitalization day.

Materials And Methods: This parallel-group, unblinded, randomized clinical trial randomized patients 1:1 into intervention (precoding) and control groups.

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Article Synopsis
  • - The study focuses on comparing cognitive profiles of patients with mild cognitive impairment related to Alzheimer's disease (AD-MCI) and Parkinson's disease (PD-MCI), noting that large studies on this topic are limited.
  • - Data from two large cohort studies were analyzed using a common diagnostic approach, revealing that AD-MCI patients performed worse on memory and language tests, while PD-MCI patients struggled more with executive tasks involving set-shifting.
  • - The results indicate that a specific neuropsychological test battery can effectively differentiate between AD-MCI and PD-MCI, suggesting that clinical assessments should encompass a wide range of cognitive areas to identify potential changes.
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Article Synopsis
  • The CERAD test battery, known for assessing cognitive function, has been expanded to include the CERAD-Plus for better evaluation of executive functions and processing speed in patients, particularly those with Parkinson's Disease (PD).
  • A new Total Score (TS) for CERAD-Plus was developed using age-, gender-, and education-adjusted z-scores to enhance diagnostic accuracy compared to the original CERAD-Chandler-TS.
  • Results indicated that the new CERAD-Plus-TS was more effective in distinguishing cognitive impairment levels in PD patients, suggesting the importance of non-amnestic subscales in their cognitive assessments, but further validation is needed for broader use.
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Several Alzheimer's disease (AD) atrophy subtypes were identified, but their brain network properties are unclear. We analyzed data from two independent datasets, including 166 participants (103 AD/63 controls) from the DZNE-longitudinal cognitive impairment and dementia study and 151 participants (121 AD/30 controls) from the AD neuroimaging initiative cohorts, aiming to identify differences between AD atrophy subtypes in resting-state functional magnetic resonance imaging intra-network connectivity (INC) and global and nodal network properties. Using a data-driven clustering approach, we identified four AD atrophy subtypes with differences in functional connectivity, accompanied by clinical and biomarker alterations, including a medio-temporal-predominant (S-MT), a limbic-predominant (S-L), a diffuse (S-D), and a mild-atrophy (S-MA) subtype.

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Background: Presence of mild cognitive impairment is currently the best predictor for the development of Parkinson's disease dementia. Diagnostic criteria for both Parkinson's with mild cognitive impairment and Parkinson's disease dementia have been suggested by the Movement Disorder Society. However, not all cognitive tests recommended are available in the German language with proper standard values.

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Background: Traditionally, cerebellar disorders including ataxias have been associated with deficits in motor control and motor learning. Since the 1980's growing evidence has emerged that cerebellar diseases also impede cognitive and affective processes such as executive and linguistic functions, visuospatial abilities and regulation of emotion and affect. This combination of non-motor symptoms has been named .

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