A modified temporal self-correlation method for analysis of fMRI time series
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Summary
A modified temporal self-correlation method based on the expectation value and standard deviation of the correlation coefficients between all pairs of epochs is introduced and a technique for quantitative comparison of different fMRI data analysis methods is proposed.
- Type
- article
- Published
- 2007-01-01
- Cited by
- 2
- References
- 11
- OpenAlex
- https://openalex.org/W2538604655
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:11090339
Keywords
Computer science, Series (stratigraphy), Time series, Correlation, Data mining
References
- On clustering fMRI time series.
- Activation detection in event-related fMRI data based on spatio-temporal properties.
- Functional mapping of the human visual cortex by magnetic resonance imaging.
- Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation.
- Detecting activations in event‐related fMRI using analysis of variance
- Human Brain Function
- Human Brain Function
- Brain magnetic resonance imaging with contrast dependent on blood oxygenation.
- Time course EPI of human brain function during task activation
- Analysis of fMRI data by blind separation into independent spatial components
- Human Brain Mapping 6:160–188(1998) � Analysis of fMRI Data by Blind Separation Into Independent Spatial Components