Although often cast as a disease of later life, a growing number of people are being diagnosed with Alzheimer's disease in their 50s and 60s. Early-onset Alzheimer's disease (EOAD) poses special challenges and needs for individuals and their caregivers, such as employment and access to services. In this cross-sectional study, the researchers surveyed 81 (N = 81) family caregivers to individuals with EOAD to identify service and support usage and need. Descriptive analyses revealed that families utilized a range of formal services (eg, adult day) and informal support from family and friends. In terms of challenges and needs, participants indicated that they struggled most with employment, benefits, and financial issues. Although most caregivers felt that they were coping well, they also indicated that their needs were not well understood by service providers and the public. These findings highlight the need to better understand and respond to the specific issues surrounding EOAD.
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http://dx.doi.org/10.1177/1533317514558160 | DOI Listing |
J Alzheimers Dis
January 2025
Division of Neurosurgery, Department of Surgery, Wan Fang Hospital, Taipei Medical University, Taipei.
Although the association between dementia such as Alzheimer's disease and traumatic brain injury (TBI) is well established, there are significant knowledge gaps with respect to the perspective of dementia and epilepsy without TBI. We aimed to investigate the relationship between dementia and epilepsy in a population-based study of patients without history of TBI. This study included a random sample of 30,715 patients with no history of TBI, including 6143 with epilepsy as the study cohort and 24,572 without epilepsy as the comparison cohort.
View Article and Find Full Text PDFHealth Inf Sci Syst
December 2025
School of Mathematics and Computing, University of Southern Queensland, 487-535 West Street, Toowoomba, QLD 4350 Australia.
Purpose: This paper aims to develop a three-dimensional (3D) Alzheimer's disease (AD) prediction method, thereby bettering current predictive methods, which struggle to fully harness the potential of structural magnetic resonance imaging (sMRI) data.
Methods: Traditional convolutional neural networks encounter pressing difficulties in accurately focusing on the AD lesion structure. To address this issue, a 3D decoupling, self-attention network for AD prediction is proposed.
Front Neurol
January 2025
Department of Rehabilitation Sciences, Neurorehabilitation Research Group (eNRGy), KU Leuven, Leuven, Belgium.
Introduction: Freezing of gait (FOG) is a disabling symptom for people with Parkinson's disease (PwPD). Turning on the spot for one minute in alternating directions (360 turn) while performing a cognitive dual-task (DT) is a fast and sensitive way to provoke FOG. The FOG-index is a widely used wearable sensor-based algorithm to quantify FOG severity during turning.
View Article and Find Full Text PDFFront Neurol
January 2025
Department of Neurology, Massachusetts General Hospital, Charlestown, MA, United States.
White matter hyperintensities (WMHs) are commonly detected on T2-weighted magnetic resonance imaging (MRI) scans, occurring in both typical aging and Alzheimer's disease (AD). Despite their frequent appearance and their association with cognitive decline in AD, the molecular factors contributing to WMHs remain unclear. In this study, we investigated the transcriptomic profiles of two commonly affected brain regions with coincident AD pathology-frontal subcortical white matter (frontal-WM) and occipital subcortical white matter (occipital-WM)-and compared with age-matched cognitively intact controls.
View Article and Find Full Text PDFBrain Commun
January 2025
Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Montreal, QC, Canada H4H 1R2.
Blood-based biomarkers have been revolutionizing the detection, diagnosis and screening of Alzheimer's disease. Specifically, phosphorylated-tau variants (p-tau, p-tau and p-tau) are promising biomarkers for identifying Alzheimer's disease pathology. Antibody-based assays such as single molecule arrays immunoassays are powerful tools to investigate pathological changes indicated by blood-based biomarkers and have been studied extensively in the Alzheimer's disease research field.
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