Huanxin Chen
Biographic Data
| ID | 7957522 |
|---|---|
| NAME | Huanxin Chen |
| GIVEN NAMES | Huanxin |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN H |
| AFFILIATIONS | Huazhong University of Science and Technology |
| ORCID | 0000-0002-2695-8239 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Cell-type-specific synaptic modulation of mAChR on SST and PV interneurons
The muscarinic acetylcholine receptor (mAChR) antagonist, scopolamine, has been shown to have a rapid antidepressant effect. And it is believed that GABAergic interneurons play a crucial role in this action. Therefore, characterizing the modulation effects of mAChR on GABAergic interneurons is crucial for understanding the mechanisms underlying scopolamine’s antidepressant effects. In this study, we examined the effect of mAChR activation on the …
Case report
Psychological trauma in childhood can lead to post-traumatic disorder (PTSD) with protracted comorbid depression, which responds poorly to conventional antidepressants. Previous studies have shown that prazosin, an α1-adrenergic receptor antagonist, can help eliminate nightmares and improve sleep quality and suicidal ideation in PTSD patients. This case report presents that prazosin had a rapid antidepressant effect in a female adolescent PTSD pa…
Distinct Features of Cerebral Blood Flow and Spontaneous Neural Activity as Integrated Predictors of Early Response to Antidepressants
Distinct features of CBF and ALFF in the frontal striatal network may serve as promising neuroimaging predictors for identifying patients with blunted responsiveness, which may facilitate personalized antidepressant treatment
Artificial intelligence in sustainable energy industry
Nonlinear autoregressive and random forest approaches to forecasting electricity load for utility energy management systems
Utility companies strategy for short-term energy demand forecasting using machine learning based models
No prominent works on this page.
Utility companies strategy for short-term energy demand forecasting using machine learning based models
Nonlinear autoregressive and random forest approaches to forecasting electricity load for utility energy management systems
Artificial intelligence in sustainable energy industry
Case report
Psychological trauma in childhood can lead to post-traumatic disorder (PTSD) with protracted comorbid depression, which responds poorly to conventional antidepressants. Previous studies have shown that prazosin, an α1-adrenergic receptor antagonist, can help eliminate nightmares and improve sleep quality and suicidal ideation in PTSD patients. This case report presents that prazosin had a rapid antidepressant effect in a female adolescent PTSD pa…
Distinct Features of Cerebral Blood Flow and Spontaneous Neural Activity as Integrated Predictors of Early Response to Antidepressants
Distinct features of CBF and ALFF in the frontal striatal network may serve as promising neuroimaging predictors for identifying patients with blunted responsiveness, which may facilitate personalized antidepressant treatment
Cell-type-specific synaptic modulation of mAChR on SST and PV interneurons
The muscarinic acetylcholine receptor (mAChR) antagonist, scopolamine, has been shown to have a rapid antidepressant effect. And it is believed that GABAergic interneurons play a crucial role in this action. Therefore, characterizing the modulation effects of mAChR on GABAergic interneurons is crucial for understanding the mechanisms underlying scopolamine’s antidepressant effects. In this study, we examined the effect of mAChR activation on the …
Energy Load and Power Forecasting (3 works) · Engineering (3 works) · Artificial Intelligence (2 works) · Building Energy and Comfort Optimization (2 works) · Computer Science (2 works) · Electricity (2 works) · Energy Efficiency and Management (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Neuroscience (2 works)