Background: During the pandemic, there has been significant social media attention focused on the increased COVID-19 risks and impacts for people with dementia and their care partners. However, these messages can perpetuate misconceptions, false information, and stigma.
Objective: This study used Twitter data to understand stigma against people with dementia propagated during the COVID-19 pandemic.
Methods: We collected 1743 stigma-related tweets using the GetOldTweets application in Python from February 15 to September 7, 2020. Thematic analysis was used to analyze the tweets.
Results: Based on our analysis, 4 main themes were identified: (1) ageism and devaluing the lives of people with dementia, (2) misinformation and false beliefs about dementia and COVID-19, (3) dementia used as an insult for political ridicule, and (4) challenging stigma against dementia. Social media has been used to spread stigma, but it can also be used to challenge negative beliefs, stereotypes, and false information.
Conclusions: Dementia education and awareness campaigns are urgently needed on social media to address COVID-19-related stigma. When stigmatizing discourse on dementia is widely shared and consumed amongst the public, it has public health implications. How we talk about dementia shapes how policymakers, clinicians, and the public value the lives of people with dementia. Stigma perpetuates misinformation, pejorative language, and patronizing attitudes that can lead to discriminatory actions, such as the limited provision of lifesaving supports and health services for people with dementia during the pandemic. COVID-19 policies and public health messages should focus on precautions and preventive measures rather than labeling specific population groups.
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http://dx.doi.org/10.2196/35677 | DOI Listing |
Alzheimers Dement
December 2024
German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.
Background: Speech abnormalities are increasingly recognized as a manifestation of cognitive deficits in Alzheimer's disease (AD) and its preclinical and prodromal stages. Here, we investigated whether MRI measures of brain atrophy, specifically in the basal forebrain and cortical language areas, can predict cognitive decline and speech difficulties in older adults within the AD spectrum.
Method: The ongoing Prospect-AD study aims to develop an algorithm to automatically identify speech biomarkers in individuals with early signs of AD.
Background: In recent efforts to improve early identification, staging, and prediction of risk of persons at risk for vascular contributions to cognitive impairment and dementia (VCID) in relation with small vessel disease (SVD), the MarkVCID consortium has worked to identify and validate fluid- and imaging-based biomarkers for SVD associated with VCID. Free water (FW) measured derived from diffusion tensor imaging and one of the selected neuroimaging biomarker "kits", has been demonstrated to have excellent instrumental validity and to be a sensitive biomarker of cognitive performances. We sought to further examine FW clinical relevance by investigating whether FW predicts cognitive worsening over time.
View Article and Find Full Text PDFBackground: The amplitude of resting-state electroencephalographic (rsEEG) rhythms is a promising neurophysiological biomarker to investigate the abnormalities of oscillatory neurophysiological thalamocortical mechanisms related to the general cortical arousal and vigilance in wakefulness in patients with dementia due to neurodegenerative diseases as Alzheimer's disease (ADD), Parkinson's disease (PDD) and Lewy Body disease (DLB). Here, we tested the hypothesis that the reactivity of posterior rsEEG alpha (about 8-12 Hz) rhythms during the transition from eyes-closed to -open condition may be lower in PDD patients than in DLB patients.
Methods: A Eurasian database provided clinical-demographic-rsEEG datasets in 35 ADD patients, 65 PDD patients, 30 DLB patients, and 25 matched cognitively unimpaired (Healthy) persons.
Alzheimers Dement
December 2024
Cognitive Neuroscience Centre, University of San Andres, Victoria, Buenos Aires, Argentina.
Background: Dementia impacts the way individuals perceive and describe everyday events. Alzheimer's disease (AD) notably affects processing of entities manifested by nouns, while behavioral variant frontotemporal dementia (bvFTD) often presents a detached, third-person perspective. Yet, the potential of natural language processing tools (NLP) to detect these variations in spontaneous speech remains explored.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Department of Psychiatry, University of Cambridge, Cambridge, UK.
Background: Poor sleep is emerging as an important and modifiable risk factor in the development of dementia. The hypothalamus is the only neuroanatomical site of orexin-producing neurones in the brain and modulates sleep and wakefulness behaviour. Due its small size and lack of defined contrast in conventional neuroimaging acquisitions, relatively little evidence exists as to the role of the hypothalamus in humans in neurodegeneration and sleep quality, and whether it may have mechanistic importance and biomarker candidacy.
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