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Neuroimaging Series: Ying Guo

November 22, 2019 @ 2:00 pm - 3:00 pm

Details

Date:
November 22, 2019
Time:
2:00 pm - 3:00 pm
Event Category:

Organizer

TReNDS Center
Website:
trendscenter.org

Venue

TReNDS Center
55 Park Place
Atlanta, GA 30303 United States
+ Google Map
Website:
trendscenter.org

Ying Guo, Director, Emory Center for Biomedical Imaging Statistics (CBIS), Emory

Statistical methods for helping improve reliability of brain network analysis

Network-oriented analyses have become increasingly important in neuroimaging studies to advance understanding of neural circuitry among healthy brains and also to investigate disease-related network differences. These analyses often encounter challenges including low signal-to-noise ratio in neuroimaging data, high between-subject heterogeneity in brain networks and network variations across conditions. In this talk, we present new statistical methods to help improve the reliability in brain network analysis. The proposed methods tackle the aforementioned challenges by joint network learning using brain images obtained on the same subjects under different conditions, by multimodality integrative network modeling that incorporates anatomical structure in constructing brain functional networks, and by developing novel statistical tests to more accurately detect network differences between subpopulations.

Webex information: https://gsumeetings.webex.com/gsumeetings/j.php?MTID=m85f5f0d535c2d0e514253f3aa4ec626b

Meeting code: 739 520 259

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