Reconstruction and application of multilayer brain network for juvenile myoclonic epilepsy based on link prediction.

Unlabelled: Juvenile myoclonic epilepsy (JME) exhibits abnormal functional connectivity of brain networks at multiple frequencies. We used the multilayer network model to address the heterogeneous features at different frequencies and assess the mechanisms of functional integration and segregation of brain networks in JME patients. To address the possibility of false edges or missing edges during network construction, we combined multilayer networks with link prediction techniques.

Targeting Fibroblast Activation Protein for Molecular Imaging of Fibrotic Remodeling in Pulmonary Arterial Hypertension.

The purpose of this study was to investigate the feasibility of using F-labeled fibroblast activation protein inhibitor (FAPI) PET/CT in assessing the fibrotic remodeling of the pulmonary artery (PA) and the right ventricle (RV) in pulmonary arterial hypertension (PAH). In a rat model of monocrotaline-induced PAH, rats were euthanized at different time points for tissue analysis (fibroblast activation protein immunofluorescence and Masson's trichrome staining) after completing F-FAPI PET/CT and hemodynamic measurements. Thirty-eight PAH patients were enrolled to participate in F-FAPI PET/CT imaging, with right heart catheterization and echocardiography performed within 1 wk to assess pulmonary hemodynamics and cardiac function.

Phthalocyanine aggregates as semiconductor-like photocatalysts for hypoxic-tumor photodynamic immunotherapy.

Photodynamic immunotherapy (PIT) has emerged as a promising approach for efficient eradication of primary tumors and inhibition of tumor metastasis. However, most of photosensitizers (PSs) for PIT exhibit notable oxygen dependence. Herein, a concept emphasizing on transition from molecular PSs into semiconductor-like photocatalysts is proposed, which converts the PSs from type II photoreaction to efficient type I photoreaction.

Dynamic analysis of frequency specificity in multilayer brain networks.

The brain is a highly complex and delicate system, and its internal neural processes are manifested as the interweaving and superposition of multi-frequency neural signals. However, traditional brain network studies are often limited to the whole frequency band or a specific frequency band, ignoring the potentially profound impact of the diversity of information within the frequency on the dynamics of brain networks. To comprehensively and deeply analyze this phenomenon, the present study is devoted to exploring the specific performance of brain networks at different frequencies.

retinal melanin detection with the calibrated depolarization index in polarization-sensitive optical coherence tomography.

Significance: A data-based calibration method with enhanced depolarization contrast in polarization-sensitive optical coherence tomography (PS-OCT) was developed and demonstrated effective for detecting melanin content in the eye.

Aim: We aim to mitigate the dependence between the measured depolarization metric and the intensity signal-to-noise ratio (SNR) for improved visualization of depolarizing tissues, especially in low SNR regions, and to demonstrate the enhanced depolarization contrast to evaluate melanin presence.

Approach: A function for calibrating the depolarization metric was experimentally derived from the young albino guinea pig, assuming depolarization free in the retina.