Dynamical cluster analysis of cortical fMRI activation.
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Summary
The new DCA method is described and it is shown that with respect to easy adjustment of the quantization error and reproducibility of the results DCA outperforms the standard k-means algorithm.
- Type
- article
- Published
- 1999-05-01
- Cited by
- 73
- References
- 43
- Access
- Open access
- OpenAlex
- https://openalex.org/W10329287
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:15268969
Keywords
International relations, Political science, Power (physics), Political economy, Security policy
References
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- Clustered pixels analysis for functional MRI activation studies of the human brain
- Sequential activation of supplementary motor area and primary motor cortex during self-paced finger movement in human evaluated by functional MRI.
- Human Cerebral Cortex: Localization, Parcellation, and Morphometry with Magnetic Resonance Imaging
- Detection of cortical activation during averaged single trials of a cognitive task using functional magnetic resonance imaging.
- Mental chronometry using latency-resolved functional MRI.
- Discrimination of Large Venous Vessels in Time‐Course Spiral Blood‐Oxygen‐Level‐Dependent Magnetic‐Resonance Functional Neuroimaging
- Preparation for movement in the cat. I. Unit activity in the cerebral cortex.
- Fuzzy clustering of gradient‐echo functional MRI in the human visual cortex. Part I: Reproducibility
- Neuronal activity of the supplementary motor area (SMA) during internally and externally triggered wrist movements.
- Quantification in functional magnetic resonance imaging: fuzzy clustering vs. correlation analysis.
- Localization of brain function using magnetic resonance imaging.
- Local treatment with the N-methyl-D-aspartate receptor antagonist ketamine, inhibit development of secondary hyperalgesia in man by a peripheral action.
- Improved Assessment of Significant Activation in Functional Magnetic Resonance Imaging (fMRI): Use of a Cluster‐Size Threshold
Cited by
- An integrated neighborhood correlation and hierarchical clustering approach of functional MRI
- On the Role of the Inferior Intraparietal Sulcus in Visual Working Memory for Lateralized Single-feature Objects
- Mathematical study of complex networks: brain, internet, and power grid
- Exploratory analysis of event-related fMRI demonstrated in a working memory study
- Dynamic brain networks explored by structure-revealing methods
- Data driven analysis of brain activity and functional connectivity in fMRI
- Analysis of functional magnetic resonance imaging data using signal processing techniques
- Generative-discriminative low rank decomposition for medical imaging applications
- Combining self-organizing mapping and supervised affinity propagation clustering approach to investigate functional brain networks involved in motor imagery and execution with fMRI measurements
- Dynamic semiparametric factor models
- Low-frequency signal changes reflect differences in functional connectivity between good readers and dyslexics during continuous phoneme mapping.
- Improving binding potential analysis in [11C]raclopride PET studies using cluster analysis.
- Graphical display of fMRI data: visualizing multidimensional space.
- Wavelet-based segmentation of renal compartments in DCE-MRI of human kidney: Initial results in patients and healthy volunteers
- Radial correlation contrast - A functional connectivity MRI contrast to map changes in local neuronal communication
- Novelty indices: identifiers of potentially interesting time-courses in functional MRI data.
- Hierarchical clustering to measure connectivity in fMRI resting-state data.
- Observation of two distinct spatial-temporal BOLD clusters during sensory stimulation in rats
- Studying spontaneous EEG activity with fMRI.
- Resampling as a cluster validation technique in fMRI
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