Background: Memory dysfunction is common in multiple sclerosis (MS); mechanistic understanding of its causes is lacking. Large-scale network resting-state functional connectivity (RSFC) is sensitive to memory dysfunction.
Objective: We derived and tested summary metrics of memory network RSFC.
Methods: Cognitive data and 3T magnetic resonance imaging (MRI) scans were collected from 235 MS patients and 35 healthy controls (HCs). Index scores were calculated as RSFC within (anteriority index, AntI) and between (integration index, IntI) dorsomedial anterior temporal and medial temporal memory subnetworks. Group differences in index expression were evaluated. Associations between index scores and memory/non-memory cognition were evaluated; relationships between T2 lesion volume (T2LV) and index scores were assessed.
Results: Index scores were related to memory and T2LV in MS patients, who showed marginally elevated AntI relative to HC ( = 0.06); no group differences were found for IntI. Better memory was associated with higher AntI (β = 0.15, = 0.018) and IntI (β = 0.16, = 0.014). No associations were found for non-memory cognition. Higher T2LV was associated with higher AntI and IntI; exploratory mediation analysis revealed significant inconsistent mediation, that is, higher index scores partially suppressed the negative association between T2LV and memory.
Conclusion: Summary, within-subject metrics permit replication and circumvent challenges of traditional (incommensurate) RSFC variables to advance development of mechanistic models of memory dysfunction in MS.
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http://dx.doi.org/10.1177/13524585221099169 | DOI Listing |
NPJ Biofilms Microbiomes
January 2025
Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, Taipei, Taiwan.
The intricate nature of microbiota sequencing data-high dimensionality and sparsity-presents a challenge in identifying informative and reproducible microbial features for both research and clinical applications. Addressing this, we introduce PreLect, an innovative feature selection framework that harnesses microbes' prevalence to facilitate consistent selection in sparse microbiota data. Upon rigorous benchmarking against established feature selection methodologies across 42 microbiome datasets, PreLect demonstrated superior classification capabilities compared to statistical methods and outperformed machine learning-based methods by selecting features with greater prevalence and abundance.
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Department of Hepatobiliary Pancreatic Surgery, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
In this study, we delve into the intrinsic mechanisms of cell communication in hepatocellular carcinoma (HCC). Initially, employing single-cell sequencing, we analyze multiple malignant cell subpopulations and cancer-associated fibroblast (CAF) subpopulations, revealing their interplay through receptor-ligand interactions, with a particular focus on SPP1. Subsequently, employing unsupervised clustering analysis, we delineate two clusters, C1 and C2, and compare their infiltration characteristics using various tools and metrics, uncovering heightened cytotoxicity and overall invasion abundance in C1.
View Article and Find Full Text PDFHeliyon
November 2024
Department of Radiology, Tongren People's Hospital, Tongren, Guizhou Province, 554300, China.
Purpose: To assess the effectiveness of Amide Proton Transfer (APT) imaging in predicting the histopathological characteristics of cervical cancer.
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Sci Rep
January 2025
Department of Engineering, Islamic Azad University of Shahreza Branch, Shahreza, Iran.
Energy hubs, with their diverse regeneration and storage sources, can engage concurrently in energy transfer and storage. It is anticipated that managing the energy of these hubs within energy networks could enhance economic, environmental, and technical metrics. This article explains how electrical and thermal network hubs manage their energy consumption in the context of the multi-criteria objectives of efficiency, sustainability, reliability of the network operator, and operation.
View Article and Find Full Text PDFClin Colorectal Cancer
December 2024
Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway; Faculty of Technology, Natural Sciences and Maritime Sciences, University of South-Eastern Norway, Bø in Telemark, Norway.
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