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A high positive correlation between two fMRI time series indicates a strong similarity, a high negative a strong dissimilarity.
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The spectral coherence measure assumes that the coupling between fMRI time series is stationary over time.
Training occurred over ten one-hour sessions between the two fMRI scans.
Functional magnetic resonance imaging (fMRI) data from 25 healthy subjects (1000 time points from each one) was acquired and Transfer Entropy (TE) between fMRI time-series from rich-clubs was calculated.
Here, we present applications based on linear correlations and on spectral coherences between fMRI times series.
Functional connectivity of the neonatal brain was examined by means of correlation analysis between resting-state fMRI time-series of cortical brain regions.
The fMRI time series from seven sheep were used for the data processing.
In addition, we describe that wavelet based features may useful to differentiate two groups, healthy and dyslexic subjects, of fMRI time series.
PD participants completed two fMRI sessions that were conducted on separate days at the same time of day.
There were four 15-second blocks for each stimulus category in each fMRI time series and 20 different stimuli per condition (each presented once in each block).
To test this, we addressed the possible interaction between cognitive task performance and endogenous fMRI oscillations in an experiment designed to answer two questions: 1) Does performance of a cognitively effortful task significantly change fractal scaling properties of fMRI time series compared to their values before task performance?
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