Congrats, Duha on an outstanding effort this summer!
Category Archives: Uncategorized
NSA Lab hosts Prof. Paul Thompson for the William B. Kouwenhoven Memorial Lecture
Please join the Whiting School of Engineering and the Johns Hopkins Department of Electrical and Computer Engineering for the William B. Kouwenhoven Memorial Lecture, titled “The ENIGMA Consortium: Mapping Human Brain Diseases with Imaging and Genomics in 50,000 Individuals from 35 Countries,” presented by Dr. Paul Thompson, Director of the ENIGMA Center for Worldwide Medicine, Imaging & Genomics.
Jacob Sagar Awarded the William Huggins Summer Fellowship
Jacob will being working with Prof. Venkataraman on research to understand how manipulating a basic signal character can alter the perception of emotion contained in speech. He will receive a $4,000 fellowship and a $500 stipend for research supplies.
Archana Venkataraman to speak at the IEEE JCM in Rochester, NY
April 5, 2017 @ 5:30pm, Rochester Institute of Technology
Title: An Adaptable Framework to Extract Abnormal Brain Networks
Abstract: There is increasing evidence that complex neurological disorders reflect distributed impairments across multiple brain systems. These findings underscore the importance of network-based approaches for functional data. However, network analyses in clinical neuroimaging is largely limited to aggregate measures, which do not pinpoint a concrete etiological mechanism. In contrast, I will present a novel Bayesian framework that captures the underlying topology of the altered functional pathways. I will also highlight some exciting future directions for our methodology that revolve around clinical understanding and interventions.
Archana Venkataraman to speak at the ICM Distinguished Seminar Series
March 7, 2017 @ 11am in Clark Hall 110
Title: An Adaptable Framework to Extract Abnormal Brain Networks
Abstract: There is increasing evidence that complex neurological disorders reflect distributed impairments across multiple brain systems. These findings underscore the importance of network-based approaches for functional data. However, network analyses in clinical neuroimaging is largely limited to aggregate measures, which do not pinpoint a concrete etiological mechanism. In contrast, I will present a novel Bayesian framework that captures the underlying topology of the altered functional pathways. I will also highlight some exciting future directions for our methodology that revolve around clinical understanding and interventions.