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Primary progressive aphasia (PPA) classification relies on profile characterization of quantitatively impaired/spared performance in language tasks. In this study, we coextracted 8 qualitative types of errors in 67 PPA patients submitted to a comprehensive language assessment. Canonical correlation analysis was applied to simultaneously correlate qualitative errors and brain metabolism, collected with FDG-PET. Results showed the contribution of semantic, syntactic and working memory errors associated with specific correlates of regional metabolic changes. Reduced metabolism in the left fusiform gyrus, anterior-middle and inferior-temporal gyri and middle-temporal pole correlated with an increase of semantic errors. Hypometabolism in the left inferior, middle, and superior frontal gyri, insula and right middle-occipital gyrus was related to syntactic errors. Higher metabolism in the bilateral pallidum, putamen, and left thalamus, as well as hypometabolism in the left angular and supramarginal gyri, inferior-parietal lobule, posterior-middle and inferior-temporal gyri and posterior cingulum predicted the increase of working memory errors. A relevant role of working memory subcomponents was associated with distinct neural systems. Patients' profiles are easily represented in a qualitative multidimensional space, in which mixed PPA overlapped with different phenotypes.
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http://dx.doi.org/10.1016/j.neurobiolaging.2022.09.001 | DOI Listing |
EMBO J
September 2025
Institute of Molecular Biology, Academia Sinica, Taipei, Taiwan.
During a critical period of postnatal brain development, neural circuits undergo significant refinement coincident with widespread alternative splicing of hundreds of genes, which undergo altered splice site selection for the generation of isoforms essential for synaptic plasticity. Here, we reveal that neuronal activity-dependent phosphorylation of paxillin at its serine 119 (p-paxillin) acts as a molecular switch in the nucleus for the control of alternative splicing during this period. We show that following NMDA receptor activation, nuclear p-paxillin is recruited to nuclear speckles, where it interacts with splicing factors, such as U2AFs.
View Article and Find Full Text PDFObjectiveThis work examined performance costs for a spatial integration task when two sources of information were presented at increasing eccentricities with an augmented-reality (AR) head-mounted display (HMD).BackgroundSeveral studies have noted that different types of tasks have varying costs associated with the spatial proximity of information that requires mental integration. Additionally, prior work has found a relatively negligible role of head movements associated with performance costs.
View Article and Find Full Text PDFAppl Neuropsychol Adult
September 2025
Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México.
Negative symptoms, depression, and cognitive impairments of the schizophrenia spectrum have been associated with difficulties in daily functioning. Compensatory Cognitive Training (CCT) has shown positive effects on cognition, negative symptoms, and functioning in this population. The main objective of this pilot study was to analyze the effects of CCT on cognition and functioning in a group schizophrenia spectrum outpatients in Mexico.
View Article and Find Full Text PDFCuad Bioet
September 2025
Facultad de Farmacia y Nutrición de la Universidad de Navarra, Irunlarrea, 1, 31008 Pamplona.
In recent years, there has been a significant increase in minors with gender dysphoria (GD) seeking transition treatments, including puberty blockers and cross-sex hormones. The developing child's brain exhibits structural and functional differences in children with GD compared to cisgender children, particularly in areas where sex differences exist. Brain development during childhood and adolescence is strongly influenced by sex hormones.
View Article and Find Full Text PDFPLoS One
September 2025
College of Business Administration, Northern Border University (NBU), Arar, Kingdom of Saudi Arabia.
The increasing dependence on cloud computing as a cornerstone of modern technological infrastructures has introduced significant challenges in resource management. Traditional load-balancing techniques often prove inadequate in addressing cloud environments' dynamic and complex nature, resulting in suboptimal resource utilization and heightened operational costs. This paper presents a novel smart load-balancing strategy incorporating advanced techniques to mitigate these limitations.
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