Cluster sizes in interleaved silent steady state (ISSS) imaging

Kwaku Akrofi, Bradley P. Sutton, Cheng Ouyang, Fatima T. Husain

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The effect of increasing the number of scans in the cluster of an interleaved silent steady state (ISSS) fMRI imaging scheme from 1 to 2, and then to 3 was examined by a fixed-effects analysis of an auditory short-term memory task with four subjects. Compared to a cluster size of 1, a cluster of 2 scans improved sensitivity at detecting brain activity and statistical power, while a cluster of 3 scans further improved statistical power but seemed not to improve sensitivity beyond that achieved with a cluster of 2 scans. The findings reveal that cluster size is a vital parameter for an ISSS imaging scheme.

Original languageEnglish (US)
Title of host publication33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Pages7001-7004
Number of pages4
DOIs
StatePublished - Dec 26 2011
Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States
Duration: Aug 30 2011Sep 3 2011

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Other

Other33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
CountryUnited States
CityBoston, MA
Period8/30/119/3/11

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ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

Akrofi, K., Sutton, B. P., Ouyang, C., & Husain, F. T. (2011). Cluster sizes in interleaved silent steady state (ISSS) imaging. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 (pp. 7001-7004). [6091770] (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). https://doi.org/10.1109/IEMBS.2011.6091770