Toward a visual interface for brain connectivity analysis

Authors:
Hua Guo;Arthur Yidi;Steven R. Gomez;Mark J. Schnitzer;David Badre;David H. Laidlaw
Affiliations:
Brown University, Providence, Rhode Island, USA;Rhode Island School of Design, Providence, Rhode Island, USA;Brown University, Providence, Rhode Island, USA;Stanford University, Palo Alto, California, USA;Brown University, Providence, Rhode Island, USA;Brown University, Providence, Rhode Island, USA
Venue:
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Year:
2013

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Abstract

In this paper, we report on the needs for, the design of, and feedback about a web-based platform that supports flexible exploration of existing brain connectivity knowledge. We analyze the needs in brain connectivity research for an integrated visual knowledge base and discuss the design of the platform and the design rationales. Preliminary user feedback suggests diverse analytical patterns and additional needs in brain connectivity analysis, which distinguish it from generic network analysis. Finally, we describe open issues motivated by preliminary feedback and observation in designing more advanced features to support additional needs and characterizing user analysis patterns.