Adaptive Suppression of Random and Physiological Noise in Event-Related fMRI Data using Nonparametric Spectrum Subtraction

Tamer, Y.; LaConte, S.; Hu, X.; Kadah, Y.

by Y. Tamer, S. LaConte, X. Hu, Y. Kadah

Abstract:

We present a new technique for suppressing both random and physiological noise in event-related fMRI data. The new technique has the advantage of being model-free and having no assumptions about the statistical relationship between signal and noise. It is therefore more robust than previous techniques given its fewer assumptions.

Reference:

abstract Y. Tamer, S. LaConte, X. Hu, Y. Kadah. Adaptive Suppression of Random and Physiological Noise in Event-Related fMRI Data using Nonparametric Spectrum Subtraction. In Proceedings 11th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Toronto, page 387, 2003. [bibtex]

Bibtex Entry:

@inproceedings{Toronto387,
   Author = {Tamer, Y. and LaConte, S. and Hu, X. and Kadah, Y.},
   Title ={Adaptive Suppression of Random and Physiological Noise in Event-Related f{M}{R}{I} Data using Nonparametric Spectrum Subtraction},
   BookTitle = {Proceedings 11th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Toronto},
   Pages = {387},
   Abstract = { We present a new technique for suppressing both random and physiological noise in event-related fMRI data. The new technique has the advantage of being model-free and having no assumptions about the statistical relationship between signal and noise. It is therefore more robust than previous techniques given its fewer assumptions.},
 Keywords = {Toronto387},
   Year = {2003} }