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Objective: To examine the role of the large-scale functional network connectivity between white matter lesions (WMLs) and cognitive behaviors in patients of asymptomatic cerebral small vascular diseases (CSVD).
Methods: The study sample consisted of 211 asymptomatic CSVD patients with WMLs. Large-scale internetwork and intranetwork functional connectivity (FC) were calculated using a combination of resting-state functional MRI data and independent component analysis. Neuropsychological tests involve cognitive functions were also measured. Then, potential correlations between WMLs, functional network connectivity and cognitive behaviors were tested. Mediation analysis was used to explore the role of functional network connectivity between WMLs and cognitive behaviors.
Results: We successfully identified fourteen meaningful resting-state functional networks. Internetwork FC between dorsal sensorimotor network (dSMN) and right frontoparietal network (rFPN), dSMN and left frontoparietal network (lFPN), auditory network (AN) and posterior default network (pDMN), AN and executive control network (ECN), ECN and salience network (SN), dorsal attention network (DAN) and ECN were significant correlated with volumes of WMLs. Executive function were associated with internetwork FC between AN and pDMN, ECN and SN. Moreover, internetwork FC between AN and pDMN, ECN and SN mediated the relations of WMLs with executive function (for AN and pDMN, indirect effect: -0.0371, 95% CI: -0.0829 to -0.0073; for ECN and SN, indirect effect: -0.03191, 95% CI: -0.0807 to -0.0047). Moreover, left inferior parietal lobule in rFPN, right precentral gyrus in anterior default network (aDMN), right paracentral lobue in pDMN and left precunues in ECN were related to volumes of WMLs. There is a significant association of WMLs with intranetwork FC in left precunues, which could mediate the link between WMLs and information processing speed (indirect effect: -0.0437, 95% CI: -0.1055 to -0.0081).
Conclusion: WMLs in asymptomatic CSVD patients may induce large-scale connectivity changes including the internetwork FC and intranetwork FC, which might further influence executive function and information processing speed.
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http://dx.doi.org/10.1016/j.nicl.2025.103773 | DOI Listing |
Reprod Biol
September 2025
Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Engineering Research Center of Biopreservation and Artificial Organs, Ministry of Education, No 218 Jixi Road, Hefei Anhui230022, China; Key Laboratory of Population Health Across
Current research indicates that polyethylene terephthalate microplastics (PET-MPs) may significantly impair male reproductive function. This study aimed to investigate the potential molecular mechanisms underlying this impairment. Potential gene targets of PET-MPs were predicted via the SwissTargetPrediction database.
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September 2025
Department of Gastroenterology, First Affiliated Hospital of Shantou University Medical College, Shantou.
Background: Crohn's disease (CD) and rheumatoid arthritis (RA) are autoimmune diseases. CD is known to be closely associated with RA. However, the mechanisms underlying these relationships remain unclear.
View Article and Find Full Text PDFEur Heart J Cardiovasc Pharmacother
September 2025
Department of Internal Medicine, University of Genova, Genova, Italy.
Aims: Several diuretic strategies, including furosemide iv boluses (FB) or continuous infusion (FC), are used in acute heart failure (AHF).
Methods And Results: We systematically searched phase 3 randomized clinical trials (RCTs) evaluating diuretic regimens in admitted AHF patients within 48 hours and irrespective of clinical stabilization. We calculated the odds ratio (OR) of FC or FB plus another diuretic (sequential nephron blockade, SNB) compared to FB alone on 24-hour weight loss (WL) and worsening renal function (WRF), with a random-effects model with inverse variance weighting.
Phys Rev Lett
August 2025
Southern University of Science and Technology, Department of Physics, State Key Laboratory of Quantum Functional Materials, and Guangdong Basic Research Center of Excellence for Quantum Science, Shenzhen 518055, China.
Quantum computing is expected to provide an exponential speedup in machine learning. However, optimizing the data loading process, commonly referred to as "quantum data embedding," to maximize classification performance remains a critical challenge. In this Letter, we propose a neural quantum embedding (NQE) technique based on deterministic quantum computation with one qubit (DQC1).
View Article and Find Full Text PDFPhys Rev Lett
August 2025
Northeastern University, Department of Physics, Center for Theoretical Biological Physics, Boston, Massachusetts 02115, USA.
Sparse connectivity is a hallmark of the brain and a desired property of artificial neural networks. It promotes energy efficiency, simplifies training, and enhances the robustness of network function. Thus, a detailed understanding of how to achieve sparsity without jeopardizing network performance is beneficial for neuroscience, deep learning, and neuromorphic computing applications.
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