Chang-Ki Kang
Biographic Data
| ID | 10036042 |
|---|---|
| NAME | Chang-Ki Kang |
| GIVEN NAMES | Chang-Ki |
| FAMILY NAME | Kang |
| SIGNATURE | KANG C |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Exploring predictors of insomnia severity in shift workers using machine learning model
Introduction: Insomnia in shift workers has distinctive features due to circadian rhythm disruption caused by reversed or unstable sleep-wake cycle work schedules. While previous studies have primarily focused on a limited number of predictors for insomnia severity in shift workers, there is a need to further explore key predictors, and develop a data-driven prediction model for insomnia in shift workers. This study aims to identify potential pre…
Decreased resting-state functional connectivity of the habenula-cerebellar in a major depressive disorder
This study revealed a lower RSFC between the left habenula and cerebellum in patients with MDD and reduced RSFC among numerous subcortical areas. These new findings on the neural circuitry of MDD might contribute to an in-depth understanding of depression
No prominent works on this page.
Decreased resting-state functional connectivity of the habenula-cerebellar in a major depressive disorder
This study revealed a lower RSFC between the left habenula and cerebellum in patients with MDD and reduced RSFC among numerous subcortical areas. These new findings on the neural circuitry of MDD might contribute to an in-depth understanding of depression
Exploring predictors of insomnia severity in shift workers using machine learning model
Introduction: Insomnia in shift workers has distinctive features due to circadian rhythm disruption caused by reversed or unstable sleep-wake cycle work schedules. While previous studies have primarily focused on a limited number of predictors for insomnia severity in shift workers, there is a need to further explore key predictors, and develop a data-driven prediction model for insomnia in shift workers. This study aims to identify potential pre…
Medicine (2 works) · Advanced MRI Techniques and Applications (1 work) · Amygdala (1 work) · Artificial Intelligence (1 work) · Central nervous system (1 work) · Cerebellum (1 work) · Computer Science (1 work) · Depression (economics (1 work) · Functional Brain Connectivity Studies (1 work) · Functional magnetic resonance imaging (1 work)