Automated real-time behavioral and physiological data acquisition and display integrated with stimulus presentation for FMRI.

Published online

Journal Article

Functional magnetic resonance imaging (fMRI) is based on correlating blood oxygen-level dependent (BOLD) signal fluctuations in the brain with other time-varying signals. Although the most common reference for correlation is the timing of a behavioral task performed during the scan, many other behavioral and physiological variables can also influence fMRI signals. Variations in cardiac and respiratory functions in particular are known to contribute significant BOLD signal fluctuations. Variables such as skin conduction, eye movements, and other measures that may be relevant to task performance can also be correlated with BOLD signals and can therefore be used in image analysis to differentiate multiple components in complex brain activity signals. Combining real-time recording and data management of multiple behavioral and physiological signals in a way that can be routinely used with any task stimulus paradigm is a non-trivial software design problem. Here we discuss software methods that allow users control of paradigm-specific audio-visual or other task stimuli combined with automated simultaneous recording of multi-channel behavioral and physiological response variables, all synchronized with sub-millisecond temporal accuracy. We also discuss the implementation and importance of real-time display feedback to ensure data quality of all recorded variables. Finally, we discuss standards and formats for storage of temporal covariate data and its integration into fMRI image analysis. These neuroinformatics methods have been adopted for behavioral task control at all sites in the Functional Biomedical Informatics Research Network (FBIRN) multi-center fMRI study.

Full Text

Duke Authors

Cited Authors

  • Voyvodic, JT; Glover, GH; Greve, D; Gadde, S; FBIRN,

Published Date

  • 2011

Published In

Volume / Issue

  • 5 /

Start / End Page

  • 27 -

PubMed ID

  • 22232596

Electronic International Standard Serial Number (EISSN)

  • 1662-5196

Digital Object Identifier (DOI)

  • 10.3389/fninf.2011.00027

Language

  • eng

Conference Location

  • Switzerland