Abstract
We present a novel clustering method to probe inter-subject variability in functional magnetic resonance imaging (tMRI) data acquired in complex audiovisual stimulus environments, such as during watching movies. We calculate voxel-wise inter-subject correlation matrices across individual subject tMRI time-series and cluster them over the cerebral cortex. We address correlation matrix clustering problem and modify a standard K-means algorithm to cope better with spurious observations. We investigate suitability of the modified K-means with hierarchical clustering based postprocessing to correlation matrix clustering with several artificially generated data sets. We also present clustering of tMRI movie data. Preliminary results suggest that our methodology can be a valuable tool to investigate inter-subject variability in brain activity in different brain regions, such as prefrontal cortex.
Original language | English |
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Title of host publication | ITAB 2010 - 10th International Conference on Information Technology and Applications in Biomedicine |
Subtitle of host publication | Emerging Technologies for Patient Specific Healthcare |
DOIs | |
Publication status | Published - 1 Dec 2010 |
MoE publication type | A4 Conference publication |
Event | International Conference on Information Technology and Applications in Biomedicine: Emerging Technologies for Patient Specific Healthcare - Corfu, Greece Duration: 2 Nov 2010 → 5 Nov 2010 Conference number: 10 |
Conference
Conference | International Conference on Information Technology and Applications in Biomedicine |
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Abbreviated title | ITAB 2010 |
Country/Territory | Greece |
City | Corfu |
Period | 02/11/2010 → 05/11/2010 |