BrainCAP: an open-source neuroimaging toolkit to analyze brain co-activation patterns
Kangjoo Lee
Presenter
Yale University
Yale University
New Haven, CT
United States
Saturday, Jun 28: 11:30 AM - 12:45 PM
1306
Oral Sessions
Brisbane Convention & Exhibition Centre
Room: M4 (Mezzanine Level)
The analysis of moment-to-moment changes in co-activation patterns (CAPs) in functional MRI (fMRI) has been useful for studying dynamic properties of neural activity. This method is based on clustering fMRI time-frames into several recurrent spatial patterns within and across subjects [1]. Studies have also focused on quantifying properties of the temporal organization of CAPs, such as fractional occupancy [2]. The analyses of co-activations are computationally intensive, requiring the clustering of high-dimensional data concatenated over subjects. Further, while a variety of analytic choices are involved in studying CAPs, the field lacks a unified open-source platform to allow a robust feature selection required for reproducible mappings of brain and behavioral measurements.
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