Mengqi Xing
Biographic Data
| ID | 7962446 |
|---|---|
| NAME | Mengqi Xing |
| GIVEN NAMES | Mengqi |
| FAMILY NAME | |
| SIGNATURE | XING M |
| AFFILIATIONS | University of Illinois Chicago |
| ORCID | 0009-0003-5821-1855 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Classification of Social Anxiety Disorder With Support Vector Machine Analysis Using Neural Correlates of Social Signals of Threat
Threatening faces are potent cues in social anxiety disorder (SAD); therefore, neural response to threatening faces, particularly regions in the "fear" circuit such as amygdala, may classify individuals with SAD. Previous studies of indirect/implicit processing of threatening faces have shown that support vector machine (SVM) pattern recognition significantly differentiates individuals with SAD from healthy participants, though evidence for the r…
From Default Mode Network to the Basal Configuration
Connectomics is a framework that models brain structure and function interconnectivity as a network, rather than narrowly focusing on select regions-of-interest. MRI-derived connectomes can be structural, usually based on diffusion-weighted MR imaging, or functional, usually formed by examining fMRI blood-oxygen-level-dependent (BOLD) signal correlations. Recently, we developed a novel method for assessing the hierarchical modularity of functiona…
No prominent works on this page.
From Default Mode Network to the Basal Configuration
Connectomics is a framework that models brain structure and function interconnectivity as a network, rather than narrowly focusing on select regions-of-interest. MRI-derived connectomes can be structural, usually based on diffusion-weighted MR imaging, or functional, usually formed by examining fMRI blood-oxygen-level-dependent (BOLD) signal correlations. Recently, we developed a novel method for assessing the hierarchical modularity of functiona…
Classification of Social Anxiety Disorder With Support Vector Machine Analysis Using Neural Correlates of Social Signals of Threat
Threatening faces are potent cues in social anxiety disorder (SAD); therefore, neural response to threatening faces, particularly regions in the "fear" circuit such as amygdala, may classify individuals with SAD. Previous studies of indirect/implicit processing of threatening faces have shown that support vector machine (SVM) pattern recognition significantly differentiates individuals with SAD from healthy participants, though evidence for the r…
Neuroscience (2 works) · Psychology (2 works) · Advanced Neuroimaging Techniques and Applications (1 works) · Amygdala (1 works) · Anxiety (1 works) · Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 works) · Artificial Intelligence (1 works) · Cognition (1 works) · Cognitive psychology (1 works) · Computer Science (1 works)