Recent advances in neuroimaging of Alzheimer's disease and related dementias.

This review covers recent advances (2023-2024) in neuroimaging research into the pathophysiology, progression, and treatment of Alzheimer's disease (AD) and related dementias (ADRD). Despite the rapid emergence of blood-based biomarkers, neuroimaging continues to be a vital area of research in ADRD. Here, we discuss neuroimaging as a powerful tool to topographically visualize and quantify amyloid, tau, neurodegeneration, inflammation, and vascular disease in the brain.

Disaster Health Literacy - development and validation of a short measurement instrument in German to supplement the HLS instruments.

Introduction: In many countries, promoting the ability to protect one's own life and health and to help oneself when faced with adversity is a cornerstone of disaster risk reduction. For this reason, the population must be able to access, understand, assess and apply the information necessary to do so. So far, there have been only a few attempts to define this so-called "Disaster Health Literacy" (DIS-HL), and there is a lack of easy-to-use instruments to measure it.

Correction: The support of early-career researchers in health professions education-an expert position statement.

[This corrects the article DOI: 10.3389/fmed.2025.

Disease stage-specific atrophy markers in Alzheimer's disease.

Introduction: Structural magnetic resonance imaging (MRI) often lacks diagnostic, prognostic, and monitoring value in Alzheimer's disease (AD), particularly in early disease stages. To improve its utility, we aimed to identify optimal atrophy markers for different intended uses.

Methods: We included 363 older adults; cognitively unimpaired individuals who were negative or positive for amyloid beta (Aβ) and Aβ-positive patients with subjective cognitive decline, mild cognitive impairment, or dementia of the Alzheimer type.

Synaptic loss pattern is constrained by brain connectome and modulated by phosphorylated tau in Alzheimer's disease.

Synaptic loss strongly correlates with cognitive impairment in Alzheimer's disease (AD), yet the mechanism linking its origin and pattern remain unclear. Given that connected brain regions share molecular and synaptic features, and pathological tau, a key driver of synaptic degeneration, propagates through brain networks, we hypothesize that network architecture may influence synaptic loss in AD. By combining synaptic vesicle glycoprotein 2 A (SV2A) PET in 91 AD patients and 54 controls with normative connectome data, we show strongly connected regions exhibit similar levels of synaptic loss, and synaptic loss in one region is associated with connectivity-weighted synaptic loss in connected regions.

The support of early-career researchers in health professions education-an expert position statement.

Introduction: The development of health professions education (HPE) as an academic discipline requires well-qualified educational researchers, equipped with the competence to advance the field. There is, therefore, a need to establish and support pathways in which early-career researchers (ECRs) can develop the necessary competence to pursue a career in this field.

Approach: A group of 19 international experts in HPE from various professions, conducted a 2.

Peer tutor preparations' impact on tutor-tutee-congruence: Insights from expert interviews.

Background: In health professions education peer tutorials - a form of peer-assisted learning - are a common approach to support students' learning. Social and cognitive congruence of the participants are key factors influencing their success. With this study we address an important gap: although tutors in peer tutorials are often prepared for their roles and tasks, little is known about how this preparation might affect tutor-tutee-congruence.

The economic burden of subjective cognitive decline, mild cognitive impairment and Alzheimer's dementia: excess costs and associated clinical and risk factors.

Background: With the availability of first disease-modifying treatments, evidence on costs across the entire Alzheimer's Continuum, especially for early disease stages, becomes increasingly important to inform healthcare planning, resource allocation, and policy decisions. This study assessed costs and cost-associated factors in patients with subjective cognitive decline (SCD), mild cognitive impairment (MCI) and Alzheimer's Disease (AD) dementia compared to healthy controls.

Methods: The German DELCODE cohort study assessed clinical data, healthcare resource use, and informal care provision.

An Unsupervised XAI Framework for Dementia Detection with Context Enrichment.

Introduction: Explainable Artificial Intelligence (XAI) methods enhance the diagnostic efficiency of clinical decision support systems by making the predictions of a convolutional neural network's (CNN) on brain imaging more transparent and trustworthy. However, their clinical adoption is limited due to limited validation of the explanation quality. Our study introduces a framework that evaluates XAI methods by integrating neuroanatomical morphological features with CNN-generated relevance maps for disease classification.

Multimodal spatial gradients to explain regional susceptibility to fibrillar tau in Alzheimer's disease.

Introduction: In Alzheimer's disease (AD), fibrillar tau gradually progresses from initial seed to larger brain area. However, those brain properties underlying the region-dependent susceptibility to tau accumulation remain unclear.

Methods: We constructed multimodal spatial gradients to characterize molecular properties and connectomic architecture.

Reduced myelin contributes to cognitive impairment in patients with monogenic small vessel disease.

Introduction: Myelin is pivotal for signal transfer and thus cognition. Cerebral small vessel disease (cSVD) is primarily associated with white matter (WM) lesions and diffusion changes; however, myelin alterations and related cognitive impairments in cSVD remain unclear.

Methods: We included 64 patients with familial cSVD (i.

A computational ontology framework for the synthesis of multi-level pathology reports from brain MRI scans.

BackgroundConvolutional neural network (CNN) based volumetry of MRI data can help differentiate Alzheimer's disease (AD) and the behavioral variant of frontotemporal dementia (bvFTD) as causes of cognitive decline and dementia. However, existing CNN-based MRI volumetry tools lack a structured hierarchical representation of brain anatomy, which would allow for aggregating regional pathological information and automated computational inference.ObjectiveDevelop a computational ontology pipeline for quantifying hierarchical pathological abnormalities and visualize summary charts for brain atrophy findings, aiding differential diagnosis.

Blood biomarkers confirm subjective cognitive decline (SCD) as a distinct molecular and clinical stage within the NIA-AA framework of Alzheimer´s disease.

Subjective cognitive decline (SCD) is proposed as an indicator of transitional disease stage 2 in the Alzheimer's disease (AD) continuum. However, molecular and particularly longitudinal fluid biomarker data for this stage are still limited. This study aimed to determine whether blood-based biomarkers in amyloid-positive individuals with SCD (A + SCD) support the notion of stage 2 as a distinct stage between stages 1 and 3 of AD and to identify those at high risk for clinical progression.

Disease stage-specific atrophy markers in Alzheimer's disease.

Introduction: Structural MRI often lacks diagnostic, prognostic, and monitoring value in Alzheimer's disease (AD), particularly in early disease stages. To improve its utility, we aimed to identify optimal MRI readouts for different use cases.

Methods: We included 363 older adults; healthy controls (HC) who were negative or positive for amyloidbeta (Aβ) and Aβ-positive patients with subjective cognitive decline (SCD), mild cognitive impairment, or dementia of the Alzheimer type.

Perivascular space and white matter hyperintensities in Alzheimer's disease: associations with disease progression and cognitive function.

Background: Alzheimer's disease (AD) is the leading cause of dementia, characterized by the accumulation of amyloid-beta (Aβ) and neurofibrillary tangles. Recent studies emphasize the role of vascular factors, including the glymphatic system, in AD pathogenesis, particularly in Aβ clearance. The diffusion tensor image analysis along the perivascular space (DTI-ALPS; ALPS-Index) has emerged as a novel, non-invasive method to evaluate the glymphatic system in vivo, showing glymphatic insufficiency in AD.

CSF biomarkers are differentially linked to brain areas high and low in noradrenaline, dopamine and serotonin across the Alzheimer's disease spectrum.

Neurotransmitter systems of noradrenaline, dopamine, serotonin and acetylcholine are implicated in cognitive functions such as memory, learning and attention and are known to be altered in neurodegenerative diseases like Alzheimer's disease. Specific brain structures involved in these systems, e.g.

Amyloid-associated hyperconnectivity drives tau spread across connected brain regions in Alzheimer's disease.

In Alzheimer's disease (AD), amyloid-β (Aβ) triggers the aggregation and spreading of tau pathology, which drives neurodegeneration and cognitive decline. However, the pathophysiological link between Aβ and tau remains unclear, which hinders therapeutic efforts to attenuate Aβ-related tau accumulation. Aβ has been found to trigger neuronal hyperactivity and hyperconnectivity, and preclinical research has shown that tau spreads across connected neurons in an activity-dependent manner.

Locus coeruleus signal intensity and emotion regulation in agitation in Alzheimer's disease.

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.

Artificial intelligence-based rapid brain volumetry substantially improves differential diagnosis in dementia.

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.

Blood-based quantification of Aβ oligomers indicates impaired clearance from brain in ApoE ε4 positive subjects.

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.

Tau-network mapping of domain-specific cognitive impairment in Alzheimer's disease.

Fibrillar tau gradually progresses in the brain during the course of Alzheimer's disease (AD). However, the contribution of tau accumulation in a given brain region to decline in different cognitive domains and thus phenotypic heterogeneity in AD remains unclear. Here, we leveraged the functional connectome to link the locality of tau accumulation to domain-specific cognitive impairment.

Longitudinal evidence for a mutually reinforcing relationship between white matter hyperintensities and cortical thickness in cognitively unimpaired older adults.

Background: For over three decades, the concomitance of cortical neurodegeneration and white matter hyperintensities (WMH) has sparked discussions about their coupled temporal dynamics. Longitudinal studies supporting this hypothesis nonetheless remain scarce.

Methods: We applied global and regional bivariate latent growth curve modelling to determine the extent to which WMH and cortical thickness were interrelated over a four-year period.

"Between formulas and freestyle" - a qualitative analysis of peer tutor preparation and its impact on peer relations.

Background: Peer tutorials are widely used in medical and health professions education. Some evidence suggests that peer tutorials can have positive effects for student peer tutors and tutees alike. To promote these positive effects, peer tutors are often prepared for their tasks.