Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Wang, Selena"'
Autor:
Xu, Wanwan, Wang, Selena, Tan, Chichun, Shen, Xilin, Luo, Wenjing, Constable, Todd, Li, Tianxi, Zhao, Yize
Recent advancements in understanding the brain's functional organization related to behavior have been pivotal, particularly in the development of predictive models based on brain connectivity. Traditional methods in this domain often involve a two-s
Externí odkaz:
http://arxiv.org/abs/2407.21242
Discovering reliable and informative relationships among brain regions from functional magnetic resonance imaging (fMRI) signals is essential in phenotypic predictions. Most of the current methods fail to accurately characterize those interactions be
Externí odkaz:
http://arxiv.org/abs/2312.02203
To improve the statistical power for imaging biomarker detection, we propose a latent variable-based statistical network analysis (LatentSNA) that combines brain functional connectivity with internalizing psychopathology, implementing network science
Externí odkaz:
http://arxiv.org/abs/2309.11349
Genetic association studies for brain connectivity phenotypes have gained prominence due to advances in non-invasive imaging techniques and quantitative genetics. Brain connectivity traits, characterized by network configurations and unique biologica
Externí odkaz:
http://arxiv.org/abs/2305.09099
Autor:
Wang, Selena
A research question that is of interest across many disciplines is whether and howrelationships in a network are related to the attributes of the nodes of the network.In this dissertation, we propose two joint frameworks for modeling the relationship
Brain structural connectivity, capturing the white matter fiber tracts among brain regions inferred by diffusion MRI (dMRI), provides a unique characterization of brain anatomical organization. One fundamental question to address with structural conn
Externí odkaz:
http://arxiv.org/abs/2304.01345
Heywood cases are known from linear factor analysis literature as variables with communalities larger than 1.00, and in present day factor models, the problem also shows in negative residual variances. For binary data, ordinal factor models can be ap
Externí odkaz:
http://arxiv.org/abs/2108.04925
Autor:
Li, Joyce S., Tun, Samantha M., Ficek-Tani, Bronte, Xu, Wanwan, Wang, Selena, Horien, Corey L., Toyonaga, Takuya, Nuli, Shreya S., Zeiss, Caroline J., Powers, Albert R., Zhao, Yize, Mormino, Elizabeth C., Fredericks, Carolyn A.
Publikováno v:
In Biological Psychiatry: Cognitive Neuroscience and Neuroimaging July 2024
Publikováno v:
In Medical Image Analysis January 2025 99
In many application problems in social, behavioral, and economic sciences, researchers often have data on a social network among a group of individuals along with high dimensional multivariate measurements for each individual. To analyze such network
Externí odkaz:
http://arxiv.org/abs/1910.12128