Element space partially adaptive STAP: A method ROR detecting brain activation regions in real FMRI human data

Lejian Huang*, Elizabeth A. Thompson, Scott K. Holland, Vincent Schmithorst, Thomas M. Talavage

*Corresponding author for this work

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

1 Scopus citations

Abstract

Element space partially adaptive STAP is introduced and compared to fully adaptive STAP and cross-correlation as a means of forming functional brain maps from real human brain data undergoing asynchronous finger tapping and visual stimulus. Results of fully and partially adaptive STAP are in close agreement to those of cross-correlation.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE 32nd Annual Northeast Bioengineering Conference, 2006
Pages57-58
Number of pages2
StatePublished - 2006
EventIEEE 32nd Annual Northeast Bioengineering Conference, 2006 - Easton, PA, United States
Duration: Apr 1 2006Apr 2 2006

Publication series

NameProceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC
Volume2006
ISSN (Print)1071-121X

Other

OtherIEEE 32nd Annual Northeast Bioengineering Conference, 2006
Country/TerritoryUnited States
CityEaston, PA
Period4/1/064/2/06

ASJC Scopus subject areas

  • Chemical Engineering(all)

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