Contribution to a book

Introduction: The growing number of elderly people in the populationis accompanied by an increased prevalence of chronic diseases, e.g.dementia, which will confront the healthcare system with majorchallenges in the future. Therefore, appropriate interventions are neededto support healthy aging combined with a high quality of life. [...]

Experimental research on cognition needs more realistic paradigms to achieve ecological validity as wellas to transfer and eventually generalize the results to clinical practice. Selective attention was found to behighly related to memory and training of attentional filtering enhanced memory performance. [...]

Die Frontotemporale Demenz ist eine von sehr unterschiedlichen früh beginnenden und seltenen Demenzformen, die die betroffenen Menschen und ihre Familien oft unerwartet und radikal vor große, das Leben verändernde Herausforderungen stellt. Trotz zunehmender Forschungsaktivitäten und Aufmerksamkeit in der Fachöffentlichkeit für die Lebenssituation von Menschen mit Demenz jenseits der Alzheimer-Symptomatik gibt es eine Reihe von Versorgungslücken, die es zu schließen gilt. [...]

Materielle Armut als kulturelles Phänomen in den Blick zu nehmen, erweitert die Erkenntnismöglichkeiten der psychologischen und soziologischen Armutsforschung. Der Beitrag erläutert, wie das Phänomen Armut kulturpsychologisch in den Blick genommen werden kann. [...]

Demenz ist eine der vorrangigen Ursachen für Einschränkungen im täglichen Leben und Pflegebedürftigkeit bei älteren Menschen weltweit. Menschen mit Demenz leben meist nicht in einer Pflegeeinrichtung, sondern werden in ihrer eigenen Häuslichkeit unterstützt und gepflegt. [...]

Brain stem involvement was proposed early on during the SARS-CoV-2 pandemic as a possible concurring cause of respiratory failure, given that the virus showed the capability of inducing neurological damage, and additional factors beyond direct pulmonary damage appeared to play a role in the clinical picture. In addition, autoimmune neurological complications of SARS-CoV-2, both acute and chronic, are well documented and COVID-19 appears to be associated with the hyperactivation of the immune system and a cytokine storm, thus resembling other clinical conditions characterized by immune dysregulation and autoantibody production. [...]

The segmentation of brain tumors using magnetic resonance imaging (MRI) data is fundamental for precise diagnosis, effective treatment planning, and continuous monitoring of patient outcomes, and poses significant challenges as a result of variations in tumor morphology, intensity, variable size, and complex structure of tumor regions. Most existing deep learning approaches rely on task-specific architectures, requiring substantial effort to redesign and optimize models for each new imaging application. [...]

This study investigates how to improve the reliability of probability estimates produced by deep learning models for the detection of Alzheimer’s disease using MRI data. Although convolutional neural networks (CNNs) can accurately classify neurodegenerative diseases, their softmax outputs often misrepresent true classification probabilities. [...]

Ictal single-photon emission computed tomography (SPECT) is an imaging technique used to identify the seizure-onset zone (SOZ) in epilepsy patients. It visualizes increased cerebral blood flow near the SOZ through radiopharmaceuticals injected shortly after seizure onset. [...]

Accurately predicting age at symptom onset in genetic frontotemporal dementia (FTD) remains challenging due to substantial inter-individual variability, even among carriers of distinct pathogenic variants within the same gene. Time-to-event models provide a natural framework to address this problem while accounting for right censoring in presymptomatic individuals. [...]