Activation detection in event-related fMRI data based on spatio-temporal properties.
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Summary
Spatial information is incorporated as a second feature and a combined univariate measure is formed and the resulting method is shown to offer measurable improvement in detecting activation regions in simulated data in a highly computationally efficient manner.
- Type
- article
- Published
- 2001-11-01
- Cited by
- 10
- References
- 22
- OpenAlex
- https://openalex.org/W11755724
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:34636534
Keywords
Computer science
References
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- Stimulate: A GUI based fMRI analysis software package
- A Regional Covariance Approach to the Analysis of Functional Patterns in Positron Emission Tomographic Data
- Neural network‐based analysis of MR time series
- Fuzzy clustering of gradient‐echo functional MRI in the human visual cortex. Part I: Reproducibility
- Improved Assessment of Significant Activation in Functional Magnetic Resonance Imaging (fMRI): Use of a Cluster‐Size Threshold
- Intrinsic signal changes accompanying sensory stimulation: functional brain mapping with magnetic resonance imaging.
- Event-related functional MRI: past, present, and future.
- Evaluation of the early response in fMRI in individual subjects using short stimulus duration
- Detecting brain activation in FMRI data without prior knowledge of mental event timing.
- Retrospective estimation and correction of physiological fluctuation in functional MRI
- Assessing the significance of focal activations using their spatial extent
- Time course EPI of human brain function during task activation
Cited by
- Classification of functional brain data for multimedia retrieval
- Simulation of fMRI data: a statistical approach
- Detection of neural activity in event-related fMRI using wavelets and dynamic time warping
- Unsupervised Spatiotemporal fMRI Data Analysis using Support Vector Machines
- Node merging in Kohonen's self-organizing mapping of fMRI data
- Spatially Regularized Machine Learning for Task and Resting-state fMRI
- A modified temporal self-correlation method for analysis of fMRI time series
- A remodified temporal self-correlation method for analysis of fMRI time series
- Current awareness in NMR in biomedicine
- Optimized Independent Component Analysis Algorithms and Applications
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