Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Exploring Ways of Visualizing Functional Connectivity
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Functional connectivity is a field within neuroscience where measurements of co-activation between brain regions are used to test various hypotheses or explore how the brain activates depending on a given situation or task. After analysis, the underlying data in the field consists of a n by n adjacency matrix where each cell represents a correlation value between two regions in the brain. Depending on the research question the number of regions and matrices incorporated varies and new visualizations are needed in order to portray them. In this thesis the design of an interactive web based visualization tool for functional connectivity was explored through an iterative design process. The design of the tool was based on existing guidelines, interviews and best practices in data visualization as well as an analysis of current visualization solutions used in functional connectivity. The final concept and prototype uses a network plot for functional connectivity called the connectogram as well as a grouped bar graph to provide an intuitive and accessible way of comparing functional connectivity data by interacting with and highlighting networks and specific network data through direct manipulation. Results of qualitative evaluations of a prototype using data from a concurrent scientific project is presented. The prototype was found to be useful, engaging, easily perceivable and offered an easy and quick way of exploring data sets.

Place, publisher, year, edition, pages
2017. , p. 46
Keywords [en]
Visualization, Data Visualization, Functional Connectivity, brain imaging, user centered design, interaction technology, design
National Category
Engineering and Technology Natural Sciences
Identifiers
URN: urn:nbn:se:umu:diva-141182OAI: oai:DiVA.org:umu-141182DiVA, id: diva2:1152979
Subject / course
Examensarbete i Interaktionsteknik och design
Educational program
Master of Science Programme in Interaction Technology and Design - Engineering
Supervisors
Examiners
Available from: 2017-11-16 Created: 2017-10-26 Last updated: 2017-11-16Bibliographically approved

Open Access in DiVA

fulltext(1892 kB)83 downloads
File information
File name FULLTEXT03.pdfFile size 1892 kBChecksum SHA-512
45fafb6637f51db7026182a7b8ff2270c079f20ad781b1400d01cd01ebabb7db86a3f93df0f70376d5221bf7028b24284a42ad0318b21ec849872178b57f4e88
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Nylén, Jan
By organisation
Department of Applied Physics and Electronics
Engineering and TechnologyNatural Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 83 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 152 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf