UWIN faculty Emily Fox and Adrian KC Lee have been awarded an NSF Collaborative Research in Computational Neuroscience (CRCNS) grant, inspired by work supported by a joint UWIN-eScience postdoctoral fellowship. The grant, “Modeling of Interacting Time Series to Discover Cortical Networks Associated with Auditory Processing Dysfunction”, grew out of the research of UWIN postdoctoral fellow Dr. Nick Foti, who is jointly mentored by Professors Fox and Lee.

The funded project aims to better understand connectivity in the brain as it relates to disorders of auditory attention. Many cognitive disorders, such as (central) auditory processing disorder (C)APD, are thought to arise due to abnormalities in the underlying communication network in the brain. Inferring these communication networks from non-invasive neuroimaging data in both healthy and clinical populations will further the understanding of how the brain is wired to perform tasks that are seemingly mundane but are still challenging for state-of-the-art computers, e.g., separating one voice out of a crowd. Furthermore, these discoveries can lead to the development of therapies and assistive devices for individuals affected by these disorders. The goal of this funded project is to develop statistical methodology and machine learning methods that capture both time- and frequency-varying functional connections in the brain underlying auditory attention. Additionally, they will collect a comprehensive data set from a clinical population of individuals with (C)APD consisting of electro- and mageneto-encephalography, as well as behavioral measures with which to study the functional networks underlying (C)APD.

More information about the funded research can be found at the NSF website.