Publications by authors named "F Jessen"

Hyperphosphorylated tau accumulation is seen in the noradrenergic locus coeruleus from the earliest stages of Alzheimer's disease onwards and has been associated with symptoms of agitation. It is hypothesized that compensatory locus coeruleus-noradrenaline system overactivity and impaired emotion regulation could underlie agitation propensity, but to our knowledge this has not previously been investigated. A better understanding of the neurobiological underpinnings of agitation would help the development of targeted prevention and treatment strategies.

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Background: In humans, environmental enrichment (EE), as measured by the engagement in a variety of leisure activities, has been associated with larger hippocampal structure and better memory function. The present cross-sectional study assessed whether EE during early life (13-30 years) and midlife (30-65 years) is associated with better preserved memory-related brain activity patterns in older age.

Methods: In total, 372 cognitively unimpaired older adults (aged ≥60 years old) of the DZNE-Longitudinal Study on Cognitive Impairment and Dementia (DELCODE; DRKS00007966) were investigated.

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With advances in biomarker-based detection of Alzheimer's disease (AD) and new treatment options with disease-modifying treatments (DMTs), we are heading toward a new conceptualization of diagnostics and therapy in the early stages of AD. Yet consensus guidelines on best clinical practices in predictive AD diagnostics are still developing. Currently, there is a knowledge gap regarding counseling and disclosure practices in early symptomatic disease stages, its implications for dementia risk estimation, and DMTs with associated risks and benefits.

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Article Synopsis
  • High-dimensional cytometry (HDC) is a cutting-edge technology for analyzing single-cell characteristics in complex biological systems, but existing analytical methods are often too complex for most lab scientists.
  • Development of an analytical framework, cyCONDOR, aims to simplify the analysis process by offering comprehensive tools that cover essential steps from data preprocessing to biological interpretation.
  • cyCONDOR enhances the analysis of HDC data with features like guided pre-processing, clustering, and advanced analytical tools, enabling researchers to gain deeper insights efficiently and apply findings in clinical settings.
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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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