PLoS One
January 2025
[This corrects the article DOI: 10.1371/journal.pone.
View Article and Find Full Text PDFBackground: Automated analysis of natural speech is emerging as a promising digital biomarker of Alzheimer's disease (AD). As speech is a complex process, relying on multiple interacting cognitive functions, fine-grained analysis of speech may have the potential to capture subtle cognitive deficits in the very early stages of AD. Here, we examined the association between amyloid-beta (Aβ) pathology and acoustic speech characteristics in a group of cognitively normal Dutch adults.
View Article and Find Full Text PDFBackground: Verbal fluency, especially semantic fluency, may hold promise to predict clinical progression in the preclinical Alzheimer's disease (AD) stage, where patients show no objective cognitive impairment. We examined verbal fluency trajectories in amyloid-negative and amyloid-positive individuals with subjective cognitive decline (SCD), as well as whether baseline fluency characteristics (total scores and item-level) predicted progression to MCI or AD dementia.
Method: We retrospectively selected data of 471 Dutch individuals with SCD, with at least 1 follow-up fluency assessment, from the Amsterdam Dementia Cohort (Follow-up years = 4.
Background: A vestibular implant can partially restore vestibular function by providing motion information through implanted electrodes. During vestibular implantation, various obstructions of the semicircular canals, such as protein deposits, fibrosis, and ossification, can be encountered. The objective was to explore the relationship between preoperative imaging and intraoperative findings of semicircular canal obstruction and to develop surgical strategies for dealing with obstructions of the semicircular canal(s) in patients eligible for vestibular implantation.
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