Impact of signal-to-noise on functional MRI.

Abstract:

:Functional magnetic resonance imaging (fMRI) has recently been adopted as an investigational tool in the field of neuroscience. The signal changes induced by brain activations are small ( approximately 1-2%) at 1.5T. Therefore, the signal-to-noise ratio (SNR) of the time series used to calculate the functional maps is critical. In this study, the minimum SNR required to detect an expected MR signal change is determined using computer simulations for typical fMRI experimental designs. These SNR results are independent of manufacturer, site environment, field strength, coil type, or type of cognitive task used. Sensitivity maps depicting the minimum detectable signal change can be constructed. These sensitivity maps can be used as a mask of the activation map to help remove false positive activations as well as identify regions of the brain where it is not possible to confidently reject the null hypothesis due to a low SNR.

journal_name

Magn Reson Med

authors

Parrish TB,Gitelman DR,LaBar KS,Mesulam MM

doi

10.1002/1522-2594(200012)44:6<925::aid-mrm14>3.0.c

subject

Has Abstract

pub_date

2000-12-01 00:00:00

pages

925-32

issue

6

eissn

0740-3194

issn

1522-2594

pii

10.1002/1522-2594(200012)44:6<925::AID-MRM14>3.0.C

journal_volume

44

pub_type

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