98%
921
2 minutes
20
Brain structural networks have been shown to consistently organize in functionally meaningful architectures covering the entire brain. However, to what extent brain structural architectures match the intrinsic functional networks in different functional domains remains under explored. In this study, based on independent component analysis, we revealed 45 pairs of structural-functional (S-F) component maps, distributing across nine functional domains, in both a discovery cohort (n = 6005) and a replication cohort (UK Biobank, n = 9214), providing a well-match multimodal spatial map template for public use. Further network module analysis suggested that unimodal cortical areas (e.g., somatomotor and visual networks) indicate higher S-F coherence, while heteromodal association cortices, especially the frontoparietal network (FPN), exhibit more S-F divergence. Collectively, these results suggest that the expanding and maturing brain association cortex demonstrates a higher degree of changes compared with unimodal cortex, which may lead to higher interindividual variability and lower S-F coherence.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566687 | PMC |
http://dx.doi.org/10.1093/cercor/bhaa127 | DOI Listing |
PLoS One
September 2025
Mechanical and Nuclear Engineering Department, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
Sectionally nonlinearly functionally graded (SNFG) structures with triply periodic minimal surface (TPMS) are considered ideal for bone implants because they closely replicate the hierarchical, anisotropic, and porous architecture of natural bone. The smooth gradient in material distribution allows for optimal load transfer, reduced stress shielding, and enhanced bone ingrowth, while TPMS provides high mechanical strength-to-weight ratio and interconnected porosity for vascularization and tissue integration. Wherein, The SNFG structure contains sections with thickness that varies nonlinearly along their length in different patterns.
View Article and Find Full Text PDFRMD Open
September 2025
Department of Rheumatology and Department of Internal Medicine, Ghent University Hospital, Unit for Molecular Immunology and Inflammation, Flemish Institute for Biotechnology, Inflammation Research Center, University of Ghent, Ghent, Belgium.
Objectives: To evaluate whether patients with systemic lupus erythematosus (SLE) have different nailfold videocapillaroscopy (NVC) findings compared with healthy controls (HCs) and whether there is an association between NVC abnormalities and disease activity, clinical and/or laboratory features in SLE.
Methods: This is an observational, multicentre, international, matched case-control study. 381 subjects (203 patients with SLE and 178 HCs) were enrolled from 16 centres in 10 countries.
mSphere
September 2025
Department of Biology, Johns Hopkins University, Baltimore, Maryland, USA.
Oxidative stress induces a wide range of cellular damage, often causing disease and cell death. While many organisms are susceptible to the effects of oxidative stress, haloarchaea have adapted to be highly resistant. Several aspects of the haloarchaeal oxidative stress response have been characterized; however, little is known about the impacts of oxidative stress at the translation level.
View Article and Find Full Text PDFNeuro Oncol
September 2025
Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.
Background: Preoperative embolization is hypothesized to reduce blood loss and operative time for meningioma resection, but the impact of preoperative embolization on long-term oncological outcomes and molecular features of meningiomas is incompletely understood. Here we investigate how preoperative embolization influences perioperative and long-term outcomes and molecular features of atypical WHO grade 2 meningiomas.
Methods: Patients who underwent resection of WHO grade 2 meningiomas from 1997 to 2021 were retrospectively identified from an institutional database.
J Acoust Soc Am
September 2025
Centre de Vision Numérique, CentraleSupélec, Université Paris-Saclay, Inria, Gif-Sur-Yvette, France.
Conventional techniques for underwater source localization have traditionally relied on optimization methods, matched-field processing, beamforming, and, more recently, deep learning. However, these methods often fall short to fully exploit the data correlation crucial for accurate source localization. This correlation can be effectively captured using graphs, which consider the spatial relationship among data points through edges.
View Article and Find Full Text PDF