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Studies have suggested that visually presented words are obligatorily decomposed into constituents that could be mapped to language representations. The present study aims to elucidate how orthographic processing of one constituent affects the other and vice versa during a word recognition task. Chinese orthographic system has characters representing syllables and meanings instead of suffixation roles, and the majority of Chinese characters are phonograms that can be further decomposed into phonetic radical and semantic radical. We propose that semantic radical combinability indexed by semantic radicals and the effect of phonological consistency indexed by phonetic radicals would interact with each other during the reading of Chinese phonograms. Twenty-six right-handed native Chinese speakers were recruited to the study. Participants were presented with phonograms divided into four conditions following their semantic radical combinability (large vs. small) and phonological consistency (high vs. low). EEG signals were recorded throughout the covert naming task. Our results show that there is an interaction effect between phonological consistency and semantic radical combinability on the right hemisphere N170 activity while reading phonograms. Semantic radical combinability influenced the right hemisphere N170 during the process of low-consistency character reading but not high-consistency character reading. On the other hand, the left hemisphere N170 revealed a more significant activity during reading high-consistency characters and was not affected by radical combinability. In addition, while low-consistency characters revealed a larger P200 than high-consistency characters, the semantic radical combinability effect on P200 was only significant when participants were reading high-consistency characters but not low-consistency characters. These results provide new information about how ERPs are involved in word recognition within the context of interaction among orthographic and phonological dimensions.

Neural decoding is useful to explore the timing and source location in which the brain encodes information. Higher classification accuracy means that an analysis is more likely to succeed in extracting useful information from noises. In this paper, we present the application of a nonlinear, nonstationary signal decomposition technique-the empirical mode decomposition (EMD), on MEG data. We discuss the fundamental concepts and importance of nonlinear methods when it comes to analyzing brainwave signals and demonstrate the procedure on a set of open-source MEG facial recognition task dataset. The improved clarity of data allowed further decoding analysis to capture distinguishing features between conditions that were formerly over-looked in the existing literature, while raising interesting questions concerning hemispheric dominance to the encoding process of facial and identity information.

Introduction: Non-small cell lung cancer (NSCLC) is a prominent lung cancer disease worldwide. Currently, commonly used methods, such as surgery and radiotherapy, have significant side effects. Traditional Chinese medicine (TCM) has become a research hotspot because of its safe and effective characteristics. The branches and leaves of Taxus media are abundant in antitumor active compounds, and there has been no research conducted as yet regarding its anti–lung cancer molecular mechanism. Objective: The aim of this study is to investigate the antitumor activity of two samples before and after fermentation of T. media , and to research the molecular mechanism of its inhibitory effect on NSCLC. Methods: The chemical composition of pre-fermentation T. media (TM) and post-fermentation T. media qu (TMQ) were investigated using UHPLC-Q-Qrbitrap HRMS and high-performance liquid chromatography (HPLC). The anti-lung cancer activities of TM and TMQ were compared using an A549-induced tumor mouse model. An enzyme-linked immunosorbent assay (ELISA), hematoxylin and eosin (H&E) staining, immunohistochemistry, and immunofluorescence were used to determine the of TMQ mechanism of action. Results: The results indicated that TM and TMQ contained 83 compounds, consisting primarily of flavonoids, organic acids, and taxanes. Both taxanes and flavonoids in TMQ were higher than that in TM. Both TM and TMQ effectively inhibited the tumor growth in non-small cell lung cancer (NSCLC), and the inhibition rate was greater in TMQ (57.24%) than in TM (49.62%). TMQ administration downregulated the tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), and the glutathione (GSH) level and upregulated interferon-γ (IFN-γ), reactive oxygen species (ROS), and malondialdehyde (MDA) levels in the serum of tumor mice. TMQ treatment also increased the protein expression of Bax, Caspase-3, and Beclin-1 in tumor tissues. In contrast, the bcl-2, PI3K, Ki67, ULK1, and mTOR protein levels were suppressed by TMQ. Protein assay analyses reemphasized the superior antitumor effect of TMQ over TM. These cumulative findings demonstrated that the mechanism of action of TMQ was closely related to the activation of transcriptional misregulation in the cancer pathway that inhibited the cholinergic synaptic, AMPK, and PI3K/Akt/mTOR signaling pathways. Conclusion: This study demonstrated that fermentation increased the active ingredient contents and antitumor effects of T. media. In addition, post-fermentation TMQ was superior to TM as a herbal medicine for NSCLC treatment. [ABSTRACT FROM AUTHOR]

Xanthoceras sorbifolium seeds have a wide range of applications in the food and pharmaceutical industries. To compare and analyze the chemical compositions of different parts of X. sorbifolium seeds and explore the potential value and research prospects of non-medicinal parts, this study used ultra-high-performance liquid chromatography quadrupole Orbitrap high-resolution mass spectrometry(UHPLC-Q-Orbitrap HRMS) to detect the chemical composition of various parts of the seeds. A total of 82 components were preliminary identified from X. sorbifolium seeds, including 5 amino acids, 4 polyphenols, 3 phenylpropionic acids, 7 organic acids, 15 flavonoids, 6 glycosides, and 23 saponins. Mass spectrometry molecular networking(MN) analysis was conducted on the results from different parts of the seeds, revealing significant differences in the components of the seed kernel, seed coat, and seed shell. The saponins and flavonoids in the seed kernel were superior in terms of variety and content to those in the seed coat and shell. Based on the chromatographic peaks of different parts from multiple batches of samples, multivariate statistical analysis was carried out. Four differential components were determined using HPLC, and the average content of these components in the seed kernel, seed coat, and seed shell were as follows: 0.183 6, 0.887 4, and 1.440 1 mg·g~(-1) for fraxin; 0.035 8, 0.124 1, and 0.044 5 mg·g~(-1) for catechin; 0.032 9, 0.072 0, and 0.221 5 mg·g~(-1) for fraxetin; 0.435 9, 2.114 7, and 0.259 7 mg·g~(-1) for epicatechin. The results showed that catechin and fraxetin had relatively low content in all parts, while fraxin had higher content in the seed coat and seed shell, and epicatechin had higher content in the seed kernel and seed coat. Therefore, the seed coat and seed shell possess certain development value. This study provides rapid analysis and comparison of the chemical compositions of different parts of X. sorbifolium seeds, which offers an experimental basis for the research and clinical application of medicinal substances in X. sorbifolium seeds.

PCR-RFLP was used to investigate the distribution differences of apolipoprotein E (APOE) alleles and genotypes between sporadic Alzheimer disease (AD) patients (n = 160) and healthy control individuals (n = 195) in Chinese Han population. The results showed that the allelic frequencies of APOE epsilon 2, epsilon 3 and epsilon 4 were 0.056, 0.713 and 0.231 in AD group respectively, and 0.082, 0.844 and 0.074 in control group respectively. The frequency of epsilon 4 allele was significantly higher in AD cases than in control subjects and epsilon 4 allele was associated with AD by an odds ratio (OR) of 3.82 (chi 2 = 28.70, P < 0.001). The probability for APOE epsilon 4-carriers to suffer from AD after 65 years old was 5.38 times of that for APOE epsilon 4 non-carriers (chi 2 = 29.76, P < 0.001), suggesting that age might affect the interaction between APOE epsilon 4 and AD. In addition, our results showed that the distributions of APOE alleles and genotypes were comparable among mild, moderate and severe dementia patients (P > 0.05), suggesting that APOE gene polymorphism was not likely to contribute to dementia severity of AD patients. The frequency of APOE epsilon 4 genotype in female patients was higher than that in male patients(43.0% vs. 36.5%) and females carrying APOE epsilon 4 allele had higher OR value than corresponding males (4.3 vs. 3.3), but the differences were not statistically significant (P > 0.05). As to epsilon 2 allele, its frequency was significantly lower in male subgroup than in female subgroup of AD patients and also than in male subgroup of normal control (P < 0.05), suggesting that epsilon 2 allele was possibly an AD protective factor in Chinese male population.