Purpose: To explore the structural basis of functional network connectivity (FNC) changes and early cortical degenerative patterns in subcortical vascular cognitive impairment (SVCI).
Methods: We prospectively included SVCI cases and healthy controls (HCs). FNC alterations were evaluated using group-independent component analysis of resting-state functional MRI data. Cortical microstructural and macrostructural alterations were assessed using gray matter-based spatial statistics analysis with neurite orientation dispersion and density imaging and cortical thickness analysis with FreeSurfer software on T1-weighted images, respectively. Spearman correlation analyses were performed to assess relationships between FNC alterations and cortical microstructural/macrostructural alterations and between FNC, cortical thickness, or neurite density index (NDI)/orientation dispersion index (ODI) alterations and cognitive performance.
Results: Forty-six SVCI patients and 73 HCs were recruited. FNC analysis showed lower network connectivity between the visual network (VN) and sensorimotor network (SMN) in SVCI, positively correlated with information processing speed (p=0.008) and negatively with summary SVD score (p = 0.037). Cortical microstructural analyses exhibited a lower NDI, mainly in the VN and default mode network (DMN) areas (P < 0.05, cluster > 100 voxels), and lower ODI, mainly in the SMN and DMN areas (P < 0.05, cluster > 100 voxels) in SVCI, both of which were related to cognitive function (p < 0.05). However, cortical thickness did not differ between groups. Lower NDI in the lateral occipital cortex was linked to lower VN-SMN connectivity in SVCI (p = 0.002).
Conclusion: Cortical microstructural alterations may serve as the basis for FNC changes in SVCI.
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http://dx.doi.org/10.1007/s00234-025-03550-z | DOI Listing |
Bioinformatics
March 2025
Department of Statistics, Hunan University, Changsha, 410000, China.
Motivation: Inferring gene networks provides insights into biological pathways and functional relationships among genes. When gene expression samples exhibit heterogeneity, they may originate from unknown subtypes, prompting the utilization of mixture Gaussian graphical model for simultaneous subclassification and gene network inference. However, this method overlooks the heterogeneity of network relationships across subtypes and does not sufficiently emphasize shared relationships.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
March 2025
Padova Neuroscience Center, University of Padova, Padova 35131, Italy.
Resting brain activity, in the absence of explicit tasks, appears as distributed spatiotemporal patterns that reflect structural connectivity and correlate with behavioral traits. However, its role in shaping behavior remains unclear. Recent evidence shows that resting-state spatial patterns not only align with task-evoked topographies but also encode distinct visual (e.
View Article and Find Full Text PDFPLoS One
March 2025
Department of Physics, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
DNA polymerase β, a member of the X-family of DNA polymerases, undergoes complex regulations both in vitro and in vivo through various posttranslational modifications, including phosphorylation and methylation. The impact of these modifications varies depending on the specific amino acid undergoing alterations. In vitro, methylation of DNA polymerase β with the enzyme protein arginine methyltransferase 6 (PRMT6) at R83 and R152 enhances polymerase activity by improving DNA binding and processivity.
View Article and Find Full Text PDFGigascience
January 2025
Department of Neurology, University of Halle Medical Center, Halle 06102, Germany.
Background: The cerebellum is one of the major central nervous structures consistently altered in obesity. Its role in higher cognitive function, parts of which are affected by obesity, is mediated through projections to and from the cerebral cortex. We therefore investigated the relationship between body mass index (BMI) and cerebellocerebral connectivity.
View Article and Find Full Text PDFCereb Cortex
March 2025
Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Herestraat 49, B-3000 Leuven, Belgium.
This study investigates the relationship between resting-state functional magnetic resonance imaging (rs-fMRI) topological properties and synaptic vesicle glycoprotein 2A (SV2A) positron emission tomography (PET) synaptic density (SD) in late-life depression (LLD). 18 LLD patients and 33 healthy controls underwent rs-fMRI, 3D T1-weighted MRI, and 11C-UCB-J PET scans to assess SD. The rs-fMRI data were utilized to construct weighted networks for calculating four global topological metrics, including clustering coefficient, characteristic path length, global efficiency, and small-worldness, and six nodal metrics, including nodal clustering coefficient, nodal characteristic path length, nodal degree, nodal strength, local efficiency, and betweenness centrality.
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