Background: The existing literature has established that Alzheimer's disease (AD) is typically characterized by changes in memory-associated temporal and parietal lobe atrophy and hypometabolism. However, some individuals clinically diagnosed with AD do not have biomarkers consistent with AD pathology. In this cross-sectional study, we aimed to investigate differences in memory consolidation, temporal and parietal lobe atrophy, as well as temporal and parietal lobe metabolism within a clinically diagnosed cohort of individuals with amnestic Mild Cognitive Impairment (aMCI) who were either positive or negative for amyloid.
Method: We retrospectively analyzed clinical data from 149 participants: 78 aMCI amyloid positive (A+), 48 aMCI amyloid negative (A-), and 41 healthy subjects (HP). To analyze memory performance, we used the CVLT 1. % retained (CVLT%), 2. discrimination (CVLT-D), 3. false positive (CVLT-FP), and 4. intrusions errors (CVLT-I). Entorhinal, supramarginal and angular cortical thickness were computed using CAT 12 and DKT atlas, and hippocampus volume using SLANT. A subset of the aMCI participants had an FDG-PET, and we extracted the metabolism in the brain regions of interest for analysis. ANOVAs explored differences between groups on memory, brain atrophy, and metabolism (adjusted p<.002). Pearson's correlations examined relationships between CVLT, MRI values, FDG-PET measures, and biomarker data (adjusted p<0.0009).
Result: A+ exhibited worse performance on CVLT%, CVLT-D, and CVLT-FP compared to A- and HP, and A- was worse on those tests compared to HP. There were no significant differences in the hippocampal volume or entorhinal thickness between biomarker status; A+ showed more atrophy in supramarginal and angular thickness than A- and HP. A+ showed hypometabolism in the entorhinal cortex compared to A-. While hippocampus volume was related to CVLT%, CVLT-D and CVLT-FP, CVLT% was positively related to all the metabolism in all areas analyzed except hippocampus.
Conclusion: In our memory clinic cohort characterized by biomarker status, our findings indicated that factors beyond AD might contribute to memory consolidation, temporal lobe atrophy, and temporal lobe. In addition, by inference, adding parietal atrophy to mesial temporal atrophy worsens memory consolidation.
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Neurosci Res
January 2025
Center for Brain Behavior and Metabolism, University of Lübeck, Germany. Electronic address:
Pronouns create cohesive links in discourse by referring to previously mentioned elements. Here, we focus on pronominalization during speech production in three experiments employing ERP and fMRI methodologies. Participants were asked to produce two short sentences describing a man or woman using an object.
View Article and Find Full Text PDFNeuroimage
January 2025
Department of Radiology, First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.. Electronic address:
The human cerebral cortex is known for its hemispheric specialization, which underpins a variety of functions and activities. However, it is not well understood if similar lateralization exists within the deep gray matter nuclei, such as the basal ganglia (BG) and thalamus, and their associated arteries, including the lenticulostriate arteries (LSAs). To explore this, we analyzed images from 7T MRI scans of 40 healthy young individuals.
View Article and Find Full Text PDFBehav Neurosci
January 2025
Department of Psychology and Program in Neuroscience, Providence College.
The posterior parietal cortex (PPC) is an associative neocortical region that integrates multiple streams of information and is implicated in spatial cognition and decision making. In some cases, however, the PPC is not required for these functions. One possibility is that the PPC is recruited when spatial complexity is high.
View Article and Find Full Text PDFBrain Struct Funct
January 2025
CHRIST (Deemed to be University), Bangalore, Karnataka, India.
In this investigation, we delve into the neural underpinnings of auditory processing of Sanskrit verse comprehension, an area not previously explored by neuroscientific research. Our study examines a diverse group of 44 bilingual individuals, including both proficient and non-proficient Sanskrit speakers, to uncover the intricate neural patterns involved in processing verses of this ancient language. Employing an integrated neuroimaging approach that combines functional connectivity-multivariate pattern analysis (fc-MVPA), voxel-based univariate analysis, seed-based connectivity analysis, and the use of sparse fMRI techniques to minimize the interference of scanner noise, we highlight the brain's adaptability and ability to integrate multiple types of information.
View Article and Find Full Text PDFBackground: The Amyloid-Tau-Neurodegeneration (ATN) biomarker framework for Alzheimer's disease (AD) indicates binary (presence/absence) designations for each type of pathology, without regard for anatomical distribution. Neurodegeneration is designated as positive if atrophy or hypometabolism are found on imaging. However, Clifford Jack et al.
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