Multi-voxel pattern analysis
|Multi-voxel pattern analysis|
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Multi-voxel pattern analysis is a (usually) multivariate method to classify or predict neuroimaging scans. It has been applied for sets of positron emission tomography (PET) and functional magnetic resonance imaging (fMRI) scans.
In neuroimaging classification a machine learning algorithm classifies neuroimages according to some criteria, e.g., healthy/disease, brain stimulation/rest.
See further references at 
A review from 2006 is available.
- Decoding mental states from brain activity in humans (2006)
- Machine learning classifiers and fMRI: a tutorial overview (2009)
 Original papers
- A critique of multi-voxel pattern analysis
- Bayesian decoding of brain images
- Beyond mind-reading: multi-voxel pattern analysis of fMRI data
- Category-specific cortical activity precedes retrieval during memory search
- Classifying brain states and determining the discriminating activation patterns: support vector machine on functional MRI data
- Decoding the visual and subjective contents of the human brain
- Functional magnetic resonance imaging (fMRI) 'brain reading': detecting and classifying distributed patterns of fMRI activity in human visual cortex
- Stanislas Dehaene, Gurvan Le Clec'H, Laurent Cohen, Jean-Baptiste Poline, Pierre-Francois van de Moortele, Denis Le Bihan (1998). "Inferring behavior from functional brain images". Nature Neuroscience 1: 549. doi: 10.1038/2785.
- Inverse retinotopy: inferring the visual content of images from brain activation patterns
- Benny Lautrup, Lars Kai Hansen, Ian Law, Niels Mørch, Claus Svarer(1994). "Massive weight sharing: a cure for extremely ill-posed problems". Supercomputing in Brain Research: From Tomography to Neural Networks.
- Neuroinformatics in functional neuroimaging
- Support vector machines for temporal classification of block design fMRI data
- The quantitative evaluation of functional neuroimaging experiments: mutual information learning curves
- Using FMRI brain activation to identify cognitive states associated with perception of tools and dwellings
- Visualization and analysis of 3D functional brain images
- ↑ Massive weight sharing: a cure for extremely ill-posed problems
- ↑ Extremely ill-posed learning
- ↑ Visualization of neural networks using saliency maps
- ↑ Correlation between cognitive function scores and the response of a neural network classifier for SPECT data in patients with alzheimer's disease
- ↑ A neural network classifier for SPECT in Alzheimer's disease: correlation with cognitive function
- ↑ Beyond mind-reading: multi-voxel pattern analysis of fMRI data