Alzheimer's disease and related dementias have a multifactorial aetiology and heterogeneous biology. The current study aims to identify different biological signatures in a deeply phenotyped memory clinic patient population. In this cross-sectional study, we analysed 49 pre-specified proteins using a multiplex antibody-based suspension bead array in 278 CSF samples from the real-world research database and biobank at the Karolinska University Hospital Memory Clinic, Solna, Sweden.
View Article and Find Full Text PDFIntroduction: Functional connectivity within the medial temporal lobe (MTL) and default mode network (DMN) changes across Alzheimer's disease stages, influenced by and influencing cortical amyloid-beta (Aβ) and regional tau burden. Previous research highlights functional connectivity's role in Alzheimer's disease progression and the interactions of cortical Aβ and functional connectivity within and between the MTL and DMN, but their impact on regional tau deposition remains largely unexplored.
Methods: Cognitively unimpaired participants from OASIS-3 (AV1451 cohort, =287) were classified into Aβ- (=193) and Aβ+ (=94) groups via amyloid-PET for cross-sectional analyses.
Introduction: This study describes epidemiology of attention deficit hyperactivity disorder (ADHD) and use of ADHD medication across all age groups in Finland.
Methods: This retrospective study is based on nationwide registers in Finland. The study population included individuals with ADHD diagnosis and/or an ADHD medication record at least once during 2015-2020.
Background: A better understanding of body-brain links may provide insights on targets for preventing cognitive decline. The aim was to explore associations of body composition with neuroimaging biomarkers and cognitive function among dementia-free 70-year-olds.
Methods: Dual-energy X-ray absorptiometry body composition measures in relation to neuroimaging measures of cortical thickness, hippocampal volume, small vessel disease, predicted brain age, and cognitive performance were explored in a cross-sectional study of 674 dementia-free 70-year-olds from the Swedish Gothenburg H70 Birth Cohort study.
Background And Purpose: Diffuse gliomas, a heterogeneous group of primary brain tumors, have traditionally been stratified by histology, but recent insights into their molecular features, especially the mutation status, have fundamentally changed their classification and prognosis. Current diagnostic methods, still predominantly relying on invasive biopsy, necessitate the exploration of noninvasive imaging alternatives for glioma characterization.
Materials And Methods: In this prospective study, we investigated the utility of the spherical mean technique (SMT) in predicting the status and histologic grade of adult-type diffuse gliomas.