Introducing Connectivity Analysis to NeuroIS Research

Marco Hubert, Marc Linzmajer, René Riedl, Peter Kenning, Mirja Hubert

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

5 Citations (Scopus)

Abstract

The integration of both neuroscience and psycho-physiological methods into Information Systems (IS) research in order to better understand how the brain operates in an ISrelevant context has gained importance. Articles highlighting the potential of NeuroIS have opened the discussion of methodological issues associated with the use of fMRI. NeuroIS research, however, must remain cognizant of the fact that the neural implementation of complex mental processes is based on activity in a network of varied brain areas. Against this background, the present article seeks to make a methodological contribution by introducing methods of connectivity analysis to IS research and by giving an overview of the basic principles. We describe different methods of connectivity analysis, discuss a concrete example, and show how connectivity analysis can inform IS research. The major objective of this paper is to contribute to a better understanding of advanced techniques for brain imaging data analysis.

Original languageEnglish
Title of host publicationInternational Conference on Information Systems, ICIS 2012
PublisherAssociation for Information Systems (AIS)
Pages2209-2229
Number of pages21
ISBN (Print)9781627486040
Publication statusPublished - 2012
Event33rd International Conference on Information Systems (ICIS) - Orlando, Florida, United States
Duration: 16 Dec 201219 Dec 2012

Publication series

NameInternational Conference on Information Systems, ICIS 2012
Volume3

Conference

Conference33rd International Conference on Information Systems (ICIS)
CountryUnited States
CityOrlando, Florida
Period16.12.201219.12.2012

Keywords

  • Behavioral science
  • Cognition/cognitive science
  • Connectivity analysis
  • Data analysis
  • Functional Magnetic Resonance Imaging (fMRI)
  • Method
  • NeuroIS
  • Neuroscientific research

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