Abstract
We analyzed the noise in functional magnetic resonance imaging (fMRI) scans of the human brain during rest. The noise spectrum in the cortex is well fitted by a model consisting of two additive components: flat-spectrum noise that is uniform throughout the MRI image and frequency-dependent biological noise that is localized to the neural tissue and declines from low to high temporal frequencies. We show that the frequency-dependent component is well fitted by the f −p model with 0 < p < 1 throughout the measured frequency range. The parameters of the model indicate that the characteristic noise is not attributable to the temporal filtering of the hemodynamic response but is an inherent property of the blood oxygenation level-dependent (BOLD) signal. We then analyzed the power spectrum of the BOLD signal for various cognitive tasks. The signal-to-noise ratio of a typical fMRI experiment peaks at around 0.04 Hz.
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Chen, CC., Tyler, C.W. (2008). Spectral Analysis of fMRI Signal and Noise. In: Onozuka, M., Yen, CT. (eds) Novel Trends in Brain Science. Springer, Tokyo. https://doi.org/10.1007/978-4-431-73242-6_4
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DOI: https://doi.org/10.1007/978-4-431-73242-6_4
Publisher Name: Springer, Tokyo
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