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Lactate:a prospective target for therapeutic intervention in psychiatric disease 被引量:2
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作者 Yanhui Cai haiyun guo +1 位作者 Tianle Han Huaning Wang 《Neural Regeneration Research》 SCIE CAS CSCD 2024年第7期1473-1479,共7页
Although antipsychotics that act via monoaminergic neurotransmitter modulation have considera ble therapeutic effect,they cannot completely relieve clinical symptoms in patients suffering from psychiatric disorde rs.T... Although antipsychotics that act via monoaminergic neurotransmitter modulation have considera ble therapeutic effect,they cannot completely relieve clinical symptoms in patients suffering from psychiatric disorde rs.This may be attributed to the limited range of neurotransmitters that are regulated by psychotropic drugs.Recent findings indicate the need for investigation of psychotropic medications that target less-studied neurotransmitte rs.Among these candidate neurotransmitters,lactate is developing from being a waste metabolite to a glial-neuronal signaling molecule in recent years.Previous studies have suggested that cerebral lactate levels change considerably in numerous psychiatric illnesses;animal experiments have also shown that the supply of exogenous la ctate exerts an antidepressant effect.In this review,we have described how medications targeting newer neurotransmitte rs offer promise in psychiatric diseases;we have also summarized the advances in the use of lactate(and its corresponding signaling pathways)as a signaling molecule.In addition,we have described the alterations in brain lactate levels in depression,anxiety,bipolar disorder,and schizophrenia and have indicated the challenges that need to be overcome before brain lactate can be used as a therapeutic target in psychopharmacology. 展开更多
关键词 ANTIDEPRESSANT ANXIETY bipolar disorder depression LACTATE psychiatric disease PSYCHOPHARMACOLOGY SCHIZOPHRENIA signal molecular THERAPEUTICS
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Structural Dependence Learning Based on Self-attention for Face Alignment
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作者 Biying Li Zhiwei Liu +4 位作者 Wei Zhou haiyun guo Xin Wen Min Huang Jinqiao Wang 《Machine Intelligence Research》 EI CSCD 2024年第3期514-525,共12页
Self-attention aggregates similar feature information to enhance the features. However, the attention covers nonface areas in face alignment, which may be disturbed in challenging cases, such as occlusions, and fails ... Self-attention aggregates similar feature information to enhance the features. However, the attention covers nonface areas in face alignment, which may be disturbed in challenging cases, such as occlusions, and fails to predict landmarks. In addition, the learned feature similarity variance is not large enough in the experiment. To this end, we propose structural dependence learning based on self-attention for face alignment (SSFA). It limits the self-attention learning to the facial range and adaptively builds the significant landmark structure dependency. Compared with other state-of-the-art methods, SSFA effectively improves the performance on several standard facial landmark detection benchmarks and adapts more in challenging cases. 展开更多
关键词 Computer vision face alignment self-attention facial structure contextual information
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Brain Glycogen:An Angel or a Devil for Ischemic Stroke? 被引量:1
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作者 haiyun guo Yumeng Li +1 位作者 Wugang Hou Yanhui Cai 《Neuroscience Bulletin》 SCIE CAS CSCD 2023年第4期690-694,共5页
Brain Glycogen Works as an Angel Under Physiological Condition Glycogen Metabolism in the Brain One of the unique characteristics of the brain is its diversity in neural cell types,and neurons and astrocytes exhibit d... Brain Glycogen Works as an Angel Under Physiological Condition Glycogen Metabolism in the Brain One of the unique characteristics of the brain is its diversity in neural cell types,and neurons and astrocytes exhibit different metabolic patterns[1].Glycogen mainly exists in astrocytes,not in neurons[2].Glycogen metabolism is conservative throughout the body.Similar to the liver and muscle,the astrocytic glycogen level is controlled by glycogenesis and glycogenolysis[3]. 展开更多
关键词 metabolism CONSERVATIVE BRAIN
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