Huixia Ren
Biographic Data
| ID | 10014547 |
|---|---|
| NAME | Huixia Ren |
| GIVEN NAMES | Huixia |
| FAMILY NAME | Ren |
| SIGNATURE | REN H |
| AFFILIATIONS | Jinan University |
| ORCID | 0000-0002-2219-901X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Association of early life adversity with cardiovascular disease and its potential mechanisms: A narrative review
Strong epidemiological evidence has shown that early life adversity (ELA) has a profound negative impact on health in adulthood, including an increased risk of cardiovascular disease, the leading cause of death worldwide. Here, we review cohort studies on the effects of ELA on cardiovascular outcomes and the possible underlying mechanisms. In addition, we summarize relevant studies in rodent models of ELA. This review reveals that the prevalence …
Alzheimer's Disease Classification With a Cascade Neural Network
Classification of Alzheimer's Disease (AD) has been becoming a hot issue along with the rapidly increasing number of patients. This task remains tremendously challenging due to the limited data and the difficulties in detecting mild cognitive impairment (MCI). Existing methods use gait [or EEG (electroencephalogram)] data only to tackle this task. Although the gait data acquisition procedure is cheap and simple, the methods relying on gait data o…
Application of Structural and Functional Connectome Mismatch for Classification and Individualized Therapy in Alzheimer Disease
While machine learning approaches to analyzing Alzheimer disease connectome neuroimaging data have been studied, many have limited ability to provide insight in individual patterns of disease and lack the ability to provide actionable information about where in the brain a specific patient's disease is located. We studied a cohort of patients with Alzheimer disease who underwent resting state functional magnetic resonance imaging and diffusion tr…
No prominent works on this page.
Alzheimer's Disease Classification With a Cascade Neural Network
Classification of Alzheimer's Disease (AD) has been becoming a hot issue along with the rapidly increasing number of patients. This task remains tremendously challenging due to the limited data and the difficulties in detecting mild cognitive impairment (MCI). Existing methods use gait [or EEG (electroencephalogram)] data only to tackle this task. Although the gait data acquisition procedure is cheap and simple, the methods relying on gait data o…
Application of Structural and Functional Connectome Mismatch for Classification and Individualized Therapy in Alzheimer Disease
While machine learning approaches to analyzing Alzheimer disease connectome neuroimaging data have been studied, many have limited ability to provide insight in individual patterns of disease and lack the ability to provide actionable information about where in the brain a specific patient's disease is located. We studied a cohort of patients with Alzheimer disease who underwent resting state functional magnetic resonance imaging and diffusion tr…
Association of early life adversity with cardiovascular disease and its potential mechanisms: A narrative review
Strong epidemiological evidence has shown that early life adversity (ELA) has a profound negative impact on health in adulthood, including an increased risk of cardiovascular disease, the leading cause of death worldwide. Here, we review cohort studies on the effects of ELA on cardiovascular outcomes and the possible underlying mechanisms. In addition, we summarize relevant studies in rodent models of ELA. This review reveals that the prevalence …
Computer Science (2 works) · Medicine (2 works) · Neuroscience (2 works) · Psychology (2 works) · Advanced MRI Techniques and Applications (1 works) · Advanced Neuroimaging Techniques and Applications (1 works) · Alzheimer's disease (1 works) · Artificial Intelligence (1 works) · Connectome (1 works) · Connectomics (1 works)