ABSTRACT
Hypomimia and voice changes are soft signs preceding classical motor disability in patients with Parkinson's disease (PD). We aim to investigate whether an analysis of acoustic and facial expressions with machine-learning algorithms assist early identification of patients with PD. We recruited 371 participants, including a training cohort (112 PD patients during "on" phase, 111 controls) and a validation cohort (74 PD patients during "off" phase, 74 controls). All participants underwent a smartphone-based, simultaneous recording of voice and facial expressions, while reading an article. Nine different machine learning classifiers were applied. We observed that integrated facial and voice features could discriminate early-stage PD patients from controls with an area under the receiver operating characteristic (AUROC) diagnostic value of 0.85. In the validation cohort, the optimal diagnostic value (0.90) maintained. We concluded that integrated biometric features of voice and facial expressions could assist the identification of early-stage PD patients from aged controls.
ABSTRACT
Objective: “Same treatment for different diseases” is a unique treatment strategy under the guidance of traditional Chinese medicine (TCM) theory. Codonopsis Radix (Codonopsis pilosula, Dangshen in Chinese) with spleen-fortifying effect was employed to understand the strategy of “Same treatment for different diseases”, based on its common mechanism in the treatment of gastric diseases including gastric ulcer, gastritis and gastric cancer via network pharmacology research. Methods: Network pharmacology research methods were used to analyze the interaction network and potential mechanisms of Dangshen in treating gastric ulcer, gastritis and gastric cancer. The active components and their target proteins of Dangshen were integrated from TCMSP, BATMAN-TCM databases. The targets of gastric ulcer, gastritis and gastric cancer were collected through GeneCards, PubMed, TDD and DisGeNET Database. Through screening, the key components and the key targets of Dangshen in treating gastric ulcer, gastritis and gastric cancer were obtained. After KEGG pathway analysis and GO analysis, the important pathways and biological processes were analyzed. Results: Through data and literature mining, the common and specific pharmaceutical effects and mechanism of Dangshen were summarized in these three gastric lesions. It was shown that Dangshen mainly acted on gastric ulcer, gastritis and gastric cancer through the overall regulation of the PI3K-AKT signaling pathway. With the development of the disease, it will gradually increase the control of inflammation through TNF, NF-κB and other inflammation-related signaling pathways to reduce inflammatory damage. For tumorigenesis, it pays more attention to inhibiting the ErbB signaling pathways to reduce the proliferation and migration of tumor cells. In addition, Dangshen's regulation of HIF-1 signaling pathway may also be beneficial for the treatment of gastric ulcer, gastritis and gastric cancer. Conclusion: Dangshen achieves spleen-fortifying effect on gastric diseases including gastric ulcer, gastritis and gastric cancer through multiple targets in multiple pathways, especially PI3K-AKT pathway and HIF-1 pathway. It could provide a scientific basis for understanding the strategy of “Same treatment for different diseases” in traditional Chinese medicine.
ABSTRACT
Research in the past few decades generally supported a nonselective view of bilingual lexical access, where a bilingual's two languages are both active during monolingual processing. However, recent work by Costa et al. (2017) brought this into question by reinterpreting evidence for nonselectivity in a selective manner. We manipulated the factor of first language (L1) attrition in an event-related potential (ERP) experiment to disentangle Costa and colleagues' selective processing proposal versus the traditional nonselective processing view of bilingual lexical access. Spanish-English bilinguals demonstrated an N400 effect of L1 attrition during implicit L1 processing in a second language (L2) semantic judgment task, indicating the contribution of variable L1 lexical access during L2 processing. These results are incompatible with Costa and colleagues' selective model, adding to the literature supporting a nonselective view of bilingual lexical access.
ABSTRACT
Research has shown neural changes following second language (L2) acquisition after weeks or months of instruction. But are such changes detectable even earlier than previously shown? The present study examines the electrophysiological changes underlying the earliest stages of second language vocabulary acquisition by recording event-related potentials (ERPs) within the first week of learning. Adult native English speakers with no previous Spanish experience completed less than four hours of Spanish vocabulary training, with pre- and post-training ERPs recorded to a backward translation task. Results indicate that beginning L2 learners show rapid neural changes following learning, manifested in changes to the N400 - an ERP component sensitive to lexicosemantic processing and degree of L2 proficiency. Specifically, learners in early stages of L2 acquisition show growth in N400 amplitude to L2 words following learning as well as a backward translation N400 priming effect that was absent pre-training. These results were shown within days of minimal L2 training, suggesting that the neural changes captured during adult second language acquisition are more rapid than previously shown. Such findings are consistent with models of early stages of bilingualism in adult learners of L2 (e.g. Kroll and Stewart's RHM) and reinforce the use of ERP measures to assess L2 learning.
Subject(s)
Acquired Hyperostosis Syndrome/therapy , Combined Modality Therapy , Humans , Integrative Medicine , Male , Middle AgedABSTRACT
Event-related potentials were recorded during the visual presentation of words in the three languages of French-English-Spanish trilinguals. Participants monitored a mixed list of unrelated non-cognate words in the three languages while performing a semantic categorization task. Words in L1 generated earlier N400 peak amplitudes than both L2 and L3 words, which peaked together. On the other hand, L2 and L3 words did differ significantly in terms of N400 amplitude, with L3 words generating greater mean amplitudes compared with L2 words. We interpret the effects of peak N400 latency as reflecting the special status of the L1 relative to later acquired languages, rather than proficiency in that language per se. On the other hand, the mean amplitude difference between L2 and L3 is thought to reflect different levels of fluency in these two languages.
