Experiments with semantic priming (SP) paradigms have documented early hypopriming in patients with AD when concepts are used as primes and attribute concept features as targets, suggesting that concept attributes are vulnerable to damage very early in the disease course. The aims of this study were to confirm early priming reduction in the attribute condition in patients with AD and to determine which of several semantic indexes (such as the level of distinctiveness, correlation or feature dominance of concept features) best predicts the priming effect size in AD. We administered an SP attribute condition paradigm to 20 mildly demented patients with AD and to 10 NCs. We used concept-attribute pairs for which normative data of semantic indexes relative to both concept primes (i.e., number, type, mean level of dominance, distinctiveness and correlation of features constituting the concepts) and target features (i.e., level of feature dominance, correlation and distinctiveness) were available. Results showed that compared to NCs, the AD group obtained very reduced priming facilitation. Furthermore, the item regression analyses showed that the priming decrement in the AD group was predicted by the feature dominance of the target in the related pairs; that is, the lower the target feature dominance, the lower the priming effect elicited. These results confirmed hypopriming in the attribute condition from the very early phase of AD and support the view that attributes which are more salient for the identification of a given concept are also those most resistant to semantic memory degradation in AD pathology.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1111/jnp.12168 | DOI Listing |
Background: Clinical diagnosis of frontotemporal dementia (FTD) can be challenging, requiring an accurate tool dedicated to this diagnostic hurdle. Since FTD exhibits distinct regional atrophy patterns on magnetic resonance imaging (MRI), AI-aided automated brain volume analysis could enhance the clinical diagnostic assessment of FTD, including the detection of the disease and the classification of subtypes, which encompass behavioral variant (BV), semantic variant (SV), and progressive non-fluent aphasia (PNFA). In this study, we leverage automated brain volumetry software to approach both FTD detection and the differential diagnosis among its subtypes.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Washington University in St. Louis, School of Medicine, St. Louis, MO, USA.
Background: Autosomal dominant Alzheimer disease (ADAD) is characterized by genetic mutations affecting the beta-amyloid (Aβ) pathway. However, vascular and immune factors play important roles which are not completely understood. Understanding the function of the neurovascular unit (NVU) comprised of neurons, glial cells, and vasculature, at different disease stages appears ideal to developing and evaluating therapeutics.
View Article and Find Full Text PDFWhite matter hyperintensities (WMH) are areas of increased lucency visualized on T2-weighted magnetic resonance imaging (MRI), including fluid attenuated inversion recovery (FLAIR) sequences. Over the past 15 years we have been examining WMH in studies of cognitive aging among clinical, community-based, and populations at genetic risk to understand the role of vascular brain injury in Alzheimer's disease (AD) onset, symptom progression, and pathogenesis. Our findings suggest that regional WMH, particularly when distributed in posterior areas, increase risk for clinical AD and contribute to the clinical course of the disease, even among genetic population with relatively low rates of vascular risk factor, like adults with Down syndrome and with autosomal dominant genetic mutations for AD.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Background: The variability in the regional distribution of Aβ-PET signal and its relation to clinical features is debated. We used data-driven approaches to uncover heterogeneity in cortical Aβ-PET signal from a large representative sample collected through the IDEAS study.
Methods: We analysed cross-sectional Aβ-PET collected from 10,361 patients with MCI or mild dementia scanned in 295 PET facilities using one of the 3 FDA-approved tracers.
Background: Nearly all people with Down Syndrome (DS) develop Alzheimer's dementia (AD) by the 7 decade of life. However, whether the alterations in fluid biomarker levels associated with DS follow the same pattern to those observed in other forms of AD is not well understood.
Method: We used mass spectrometry-based proteomics to measure 1116 proteins in cerebrospinal fluid (CSF) across euploid controls (n=130), sporadic late-onset AD (LOAD, n=89), asymptomatic DS (n=117), prodromal DS (n=57), and dementia DS (n=80) cases, and compared the protein changes observed in DS to those in LOAD and to those recently described in autosomal dominant AD (ADAD).
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!