6 results match your criteria: "Department of Neurology University of Bonn Bonn Germany.[Affiliation]"

Introduction: This study evaluates the clinical value of a deep learning-based artificial intelligence (AI) system that performs rapid brain volumetry with automatic lobe segmentation and age- and sex-adjusted percentile comparisons.

Methods: Fifty-five patients-17 with Alzheimer's disease (AD), 18 with frontotemporal dementia (FTD), and 20 healthy controls-underwent cranial magnetic resonance imaging scans. Two board-certified neuroradiologists (BCNR), two board-certified radiologists (BCR), and three radiology residents (RR) assessed the scans twice: first without AI support and then with AI assistance.

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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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Aβ oligomers peak in early stages of Alzheimer's disease preceding tau pathology.

Alzheimers Dement (Amst)

April 2024

Department of Psychiatry and Psychotherapy Charité Berlin Germany.

Introduction: Soluble amyloid beta (Aβ) oligomers have been suggested as initiating Aβ related neuropathologic change in Alzheimer's disease (AD) but their quantitative distribution and chronological sequence within the AD continuum remain unclear.

Methods: A total of 526 participants in early clinical stages of AD and controls from a longitudinal cohort were neurobiologically classified for amyloid and tau pathology applying the AT(N) system. Aβ and tau oligomers in the quantified cerebrospinal fluid (CSF) were measured using surface-based fluorescence intensity distribution analysis (sFIDA) technology.

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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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Objective: Amyloid (A) depositions in plaques and cerebral amyloid angiopathy (CAA) represent common features of Alzheimer's disease (AD). Sequential deposition of post-translationally modified A in plaques characterizes distinct biochemical stages of A maturation. However, the molecular composition of vascular A deposits in CAA and its relation to plaques remain enigmatic.

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Background: Epilepsia partialis continua (EPC) is defined as continuous myoclonic jerking of a body part of cortical origin and often resembles a movement disorder. Unfortunately, anti-epileptic therapy is frequently ineffective. Currently, the effect of botulinum neurotoxin (BoNT) therapy in EPC is controversial.

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