Neuroscience
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This study examined how semantic transparency modulated the processing of spoken Chinese compound words with event-related potential (ERP) recording. A reverse-block passive oddball paradigm was adopted to elicit mismatch negativity (MMN), which responds to holistic and combinatorial processing in opposite directions. Specifically, linguistic inputs that are processed as holistic lexical representations will elicit stronger MMNs (lexical enhancement) than those that do not have such representations. ⋯ Opaque words did not differ from pseudocompounds, which was interpreted as parallel employment of the holistic and combinatorial processing routes. Overall, the results are consistent with the idea that native Chinese speakers routinely attempt to process Chinese compound words by retrieving and combining morphemes. However, because the meanings of opaque words are irrelevant to their constituent morphemes, Chinese speakers must construct and retrieve their holistic representations to ensure accurate processing.
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Computations on the dendritic trees of neurons have important constraints. Voltage dependent conductances in dendrites are not similar to arbitrary direct-current generation, they are the basis for dendritic nonlinearities and they do not allow converting positive currents into negative currents. ⋯ We find that dendritic model performance on interesting machine learning tasks is not hurt by these constraints but may benefit from them. Our results suggest that single real dendritic trees may be able to learn a surprisingly broad range of tasks.
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Early and accurate diagnosis of Alzheimer's disease (AD) and its prodromal period mild cognitive impairment (MCI) is essential for the delayed disease progression and the improved quality of patients' life. The emerging computer-aided diagnostic methods that combine deep learning with structural magnetic resonance imaging (sMRI) have achieved encouraging results, but some of them are limit of issues such as data leakage, overfitting, and unexplainable diagnosis. In this research, we propose a novel end-to-end deep learning approach for automated diagnosis of AD. ⋯ Our approach has been evaluated on two publicly accessible datasets for two classification tasks of AD vs. cognitively normal (CN) and progressive MCI (pMCI) vs. stable MCI (sMCI). The experimental results indicate that our approach outperforms the state-of-the-art approaches, including those using multi-model and three-dimensional (3D) CNN methods. The resultant heatmaps from our approach also highlight the lateral ventricle and some regions of cortex, which have been proved to be affected by AD.
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Traumatic brain injury (TBI) is the leading cause of death in young adults and the main cause of mortality and disability across all ages worldwide. We previously analyzed the expression profile data of TBI models obtained from the Gene Expression Omnibus (GEO) database and found that the seripina3n mRNA was markedly upregulated in the acute phase of TBI in four mRNA expression profile data sets, indicating that serpina3n may be involved in the pathophysiological process of TBI. Therefore, we further investigated the biological role and molecular mechanism of serpina3n in traumatic brain injury in this study. ⋯ With the inactivation of NE, even if serpina3n was silenced, the disruption of the BBB was not further aggravated. In vitro experiments further proved that recombinant serpina3n dose-dependently inhibited the activity of recombinant NE. Based on the above, this study demonstrated that the endogenous level of sepina3n was significantly elevated in the cortex around the contusion sit after TBI in mice, which reduced the secondary blood-brain barrier disruption by inhibiting the activity of neutrophil elastase.
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Microglia are unique cells in the central nervous system (CNS), being considered a sub-type of CNS macrophage. These cells monitor nearby micro-regions, having roles that far exceed immunological and scavengering functions, being fundamental for developing, protecting and maintaining the integrity of grey and white matter. Microglia might become dysfunctional, causing abnormal CNS functioning early or late in the life of patients, leading to neurologic or psychiatric disorders and premature death in some patients. ⋯ Alzheimer Disease is the prototype of the neurodegenerative disorders associated with these TREM2 variants, named here the Microgliopathies Type II. Here, we review clinical, pathological and some molecular aspects of human diseases associated with primary microglia dysfunctions and briefly comment some possible therapeutic approaches to theses microgliopathies. We hope that our review might update the interesting discussion about the impact of intrinsic microglia dysfunctions in the genesis of some pathologic processes of the CNS.