Sleep quality and emotional eating in college students: a moderated mediation model of depression and physical activity levels.

Background: Emotional eating is a prevalent maladaptive coping mechanism among college students, which is associated with mental health and sleep concerns. Though previous studies have established a link between sleep quality, depression and emotional eating, most of these have been in Western populations. In addition, few existing studies have taken physical activities into account, and the underlying mechanisms between these four variables remain to be further studied.

Efficacy and Safety of High-Dose TBS on Poststroke Upper Extremity Motor Impairment: A Randomized Controlled Trial.

Background: Upper extremity (UE) motor function impairment is a major poststroke complication whose recovery remains one of the most challenging tasks in neurological rehabilitation. This study examined the efficacy and safety of the personalized neuroimaging-guided high-dose theta-burst stimulation (TBS) for poststroke UE motor function recovery.

Methods: Patients after stroke with UE motor impairment from a China rehabilitation center were randomly assigned to receive high-dose intermittent TBS (iTBS) to ipsilesional UE sensorimotor network, continuous TBS (cTBS) to contralesional UE sensorimotor network, or sham stimulation, along with conventional therapy for 3 weeks.

Ceria nanoparticles: biomedical applications and toxicity.

Ceria nanoparticles (CeO NPs) have become popular materials in biomedical and industrial fields due to their potential applications in anti-oxidation, cancer therapy, photocatalytic degradation of pollutants, sensors, etc. Many methods, including gas phase, solid phase, liquid phase, and the newly proposed green synthesis method, have been reported for the synthesis of CeO NPs. Due to the wide application of CeO NPs, concerns about their adverse impacts on human health have been raised.

Individualized functional connectivity markers associated with motor and mood symptoms of Parkinson's disease.

Parkinson's disease (PD) is a complex neurological disorder characterized by many motor and non-motor symptoms. While most studies focus on the motor symptoms of the disease, it is important to identify markers that underlie different facets of the disease. In this case-control study, we sought to discover reliable, individualized functional connectivity markers associated with both motor and mood symptoms of PD.

Personalized functional imaging-guided rTMS on the superior frontal gyrus for post-stroke aphasia: A randomized sham-controlled trial.

Background: Aphasia affects approximately one-third of stroke patients and yet its rehabilitation outcomes are often unsatisfactory. More effective strategies are needed to promote recovery.

Objective: We aimed to examine the efficacy and safety of the theta-burst stimulation (TBS) on the language area in the superior frontal gyrus (SFG) localized by personalized functional imaging, in facilitating post-stroke aphasia recovery.

Personalized brain MRI revealed distinct functional and anatomical disruptions in Creutzfeldt-Jakob disease and Alzheimer's disease.

Aims: Creutzfeldt-Jakob disease (CJD) is a lethal neurodegenerative disorder, which leads to a rapidly progressive dementia. This study aimed to examine the cortical alterations in CJD, changes in these brain characteristics over time, and the differences between CJD and Alzheimer's disease (AD) that show similar clinical manifestations.

Methods: To obtain reliable, subject-specific functional measures, we acquired 24 min of resting-state fMRI data from each subject.

Detection of infrared small target based on background subtraction local contrast measure and Gaussian structural similarity.

Infrared (IR) small target detection, especially in a complex background, continues to present challenges in the low false alarm rate and high robustness. In this paper, a background subtraction local contrast measure (BSLCM) and Gaussian structural similarity (GSS) integrated structural model is proposed to detect IR small target. In the proposed model, BSLCM is used to suppress the complex background and enhance the target.

Retinal cell-targeted liposomal ginsenoside Rg3 attenuates retinal ischemia-reperfusion injury via alleviating oxidative stress and promoting microglia/macrophage M2 polarization.

Retinal ischemia-reperfusion (RIR) injury remains a major challenge that is detrimental to retinal cell survival in a variety of ocular diseases. However, current clinical treatments focus on a single pathological mechanism, making them unable to provide comprehensive retinal protection. A variety of natural products including ginsenoside Rg3 (Rg3) exhibit potent antioxidant and anti-inflammatory activities.

Reactive oxygen species-responsive mitochondria-targeted liposomal quercetin attenuates retinal ischemia-reperfusion injury via regulating SIRT1/FOXO3A and p38 MAPK signaling pathways.

Retinal ischemia-reperfusion (RIR) injury is involved in the pathogenesis of various vision-threatening diseases. The overproduction of reactive oxygen species (ROS) is thought to be the main cause of RIR injury. A variety of natural products, including quercetin (Que), exhibit potent antioxidant activity.

ROS generation and p-38 activation contribute to montmorillonite-induced corneal toxicity in vitro and in vivo.

Background: Montmorillonite (Mt) and its derivatives are now widely used in industrial and biomedical fields. Therefore, safety assessments of these materials are critical to protect human health after exposure; however, studies on the ocular toxicity of Mt are lacking. In particular, varying physicochemical characteristics of Mt may greatly alter their toxicological potential.

Nanoparticles loaded with pharmacologically active plant-derived natural products: Biomedical applications and toxicity.

Pharmacologically active natural products have played a significant role in the history of drug development. They have acted as sources of therapeutic drugs for various diseases such as cancer and infectious diseases. However, most natural products suffer from poor water solubility and low bioavailability, limiting their clinical applications.

Mid-wave infrared polarization detection of ship targets for small temperature difference conditions.

Ship detection under small temperature difference conditions is an important research direction for infrared (IR) detection of typical targets at present. To solve the problems of low contrast and difficult recognition of ship IR imaging due to small temperature differences, the degree of polarization (DOP) images is applied to the field of low-temperature aberration imaging based on the polarization principle. Meanwhile, the misalignment problem caused by the lens jitter in the polarization calculation is solved by the proposed mutual information iterative algorithm.

Silica nanoparticles: Biomedical applications and toxicity.

Silica nanoparticles (SiNPs) are composed of silicon dioxide, the most abundant compound on Earth, and are used widely in many applications including the food industry, synthetic processes, medical diagnosis, and drug delivery due to their controllable particle size, large surface area, and great biocompatibility. Building on basic synthetic methods, convenient and economical strategies have been developed for the synthesis of SiNPs. Numerous studies have assessed the biomedical applications of SiNPs, including the surface and structural modification of SiNPs to target various cancers and diagnose diseases.

Mechanistic study of silica nanoparticles on the size-dependent retinal toxicity in vitro and in vivo.

Background: Silica nanoparticles (SiO NPs) are extensively applied in the biomedical field. The increasing medical application of SiO NPs has raised concerns about their safety. However, studies on SiO NP-induced retinal toxicity are lacking.

Interictal Spike and Loss of Hippocampal Theta Rhythm Recorded by Deep Brain Electrodes during Epileptogenesis.

Epileptogenesis is the gradual dynamic process that progressively led to epilepsy, going through the latent stage to the chronic stage. During epileptogenesis, how the abnormal discharges make theta rhythm loss in the deep brain remains not clear. In this paper, a loss of theta rhythm was estimated based on time-frequency power using the longitudinal electroencephalography (EEG), recorded by deep brain electrodes (e.

Personalized fMRI Delineates Functional Regions Preserved within Brain Tumors.

Objective: Accumulating evidence from invasive cortical stimulation mapping and noninvasive neuroimaging studies indicates that brain function may be preserved within brain tumors. However, a noninvasive approach to accurately and comprehensively delineate individual-specific functional networks in the whole brain, especially in brain tissues within and surrounding tumors, is still lacking. The purpose of the study is to develop a clinically useful technique that can map functional regions within tumoral brains.

[Optimized multi-scale entropy to localize epileptogenic hemisphere of temporal lobe epilepsy based on resting-state functional magnetic resonance imaging].

Entropy model is widely used in epileptic electroencephalogram (EEG) analysis, but there are few reports on how to objectively select the parameters to compute the entropy model in the analysis of resting-state functional magnetic resonance imaging (rfMRI). Therefore, an optimization algorithm to confirm the parameters in multi-scale entropy (MSE) model was proposed, and the location of epileptogenic hemisphere was taken as an example to test the optimization effect by supervised machine learning. The rfMRI data of 20 temporal lobe epilepsy (TLE) patients with hippocampal sclerosis, positive on structural magnetic resonance imaging, were divided into left and right groups.

Integrating Optimized Multiscale Entropy Model with Machine Learning for the Localization of Epileptogenic Hemisphere in Temporal Lobe Epilepsy Using Resting-State fMRI.

The bottleneck associated with the validation of the parameters of the entropy model has limited the application of this model to modern functional imaging technologies such as the resting-state functional magnetic resonance imaging (rfMRI). In this study, an optimization algorithm that could choose the parameters of the multiscale entropy (MSE) model was developed, while the optimized effectiveness for localizing the epileptogenic hemisphere was validated through the classification rate with a supervised machine learning method. The rfMRI data of 20 mesial temporal lobe epilepsy patients with positive indicators (the indicators of epileptogenic hemisphere in clinic) in the hippocampal formation on either left or right hemisphere (equally divided into two groups) on the structural MRI were collected and preprocessed.

Enhances the Antitumor Effect of Cisplatin in Lewis Lung Cancer Mice.

Recently, intestinal flora plays a vital role in the occurrence and development of tumors and there is link between cancer immunotherapy and Akkermansia muciniphila (Akk). However, the therapeutic efficacy of Akk in lung cancer remained unclear. Hence, our study is aimed at investigating the antitumor effects of cisplatin (CDDP) combined with Akk on lung cancer.

Antitumor Effects and Related Mechanisms of Ethyl Acetate Extracts of L.

L. belongs to the genus and has a long history to be used as a Chinese medicinal herb to reduce swelling, control body temperature, and promote detoxification. However, its anticancer activity and mechanisms of action have not been evaluated yet.

Regulation of Shaoyao Ruangan Mixture on Intestinal Flora in Mice With Primary Liver Cancer.

Background: Shaoyao Ruangan mixture (SRM) has been applied clinically for more than 20 years in Zhejiang Cancer Hospital to treat patients with primary liver cancer (PLC). Intestinal microecology plays an important role in the emergence of liver diseases. This study aimed to reveal connections among SRM, intestinal microbiota and PLC, and the potential targets of SRM for liver cancer.

Negative effects of interictal spikes on theta rhythm in human temporal lobe epilepsy.

Interictal spike is a biomarker of epilepsy that can occur frequently between seizures. Its potential effects on brain oscillations, especially on theta rhythm (4-8 Hz) that is related to a variety of cognitive processes, remain controversial. Using local field potentials recorded from patients with temporal lobe epilepsy (TLE), we investigated here the impact of spikes on theta rhythm immediately after spikes and during the prolonged periods (lasting 4-36 s) between adjacent spikes.

[Quantitative evaluation of inhibitory effects of epileptic spikes on theta rhythms in the network of hippocampal CA3 and entorhinal cortex in patients with temporal lobe epilepsy].

Epileptic spike is an indicator of hyper-excitability and hyper-synchrony in the neural networks. The inhibitory effects of spikes on theta rhythms (4-8 Hz) might be helpful to understand the mechanism of epileptic damage on the cognitive functions. To quantitatively evaluate the inhibitory effects of spikes on theta rhythms, intracerebral electroencephalogram (EEG) recordings with both sporadic spikes (SSs) and spike-free transient period between adjacent spikes were selected in 4 patients in the status of rapid eyes movement (REM) sleep with temporal lobe epilepsy (TLE) under the pre-surgical monitoring.