Diff for "MultiVoxelPatternAnalysis" - MRC CBU Imaging Wiki
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Traditional neuroimaging analysis techniques are designed to detect the "activation" of neural structures that are at least a centimetre or so in scale. However, a growing number of studies have shown that substantial information can be obtained from the fMRI signal at a scale that is smaller than this. To do this, pattern classifiers are used to relate distinct patterns of activation within a brain region to corresponding mental states (e.g., stimuli). Although the pattern is generally idiosyncratic in that it varies from one person to the next, within subjects, reliable correspondences can be found. 
Traditional neuroimaging analysis techniques are designed to detect the "activation" of neural structures that are at least a centimetre or so in scale. However, a growing number of studies have shown that substantial information can be obtained from the fMRI signal at a scale that is smaller than this. To do this, pattern classifiers are used to relate distinct patterns of activation within a brain region to corresponding mental states (e.g., stimuli). Although the pattern is generally idiosyncratic in that it varies from one person to the next, within subjects, reliable correspondences can be found.
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MVPAReferencesOfInterest [javascript:void(0);/*1256050228638*/ MVPA References Of Interest]
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* Kriegeskorte, N., Goebel, R., & Bandettini, P. (2006). Information-based functional brain mapping. Proceedings of the National Academy of Sciences of the United States of America, 103(10), 3863-8.  
 * Kriegeskorte, N., Goebel, R., & Bandettini, P. (2006). Information-based functional brain mapping. Proceedings of the National Academy of Sciences of the United States of America, 103(10), 3863-8.
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* Haxby, JV, Gobbini, MI, Furey, ML, Ishai, A (2001) "Distributed and overlapping representations of faces and objects in ventral temporal cortex" Science  
 * Haxby, JV, Gobbini, MI, Furey, ML, Ishai, A (2001) "Distributed and overlapping representations of faces and objects in ventral temporal cortex" Science

Multi-voxel pattern analysis

Traditional neuroimaging analysis techniques are designed to detect the "activation" of neural structures that are at least a centimetre or so in scale. However, a growing number of studies have shown that substantial information can be obtained from the fMRI signal at a scale that is smaller than this. To do this, pattern classifiers are used to relate distinct patterns of activation within a brain region to corresponding mental states (e.g., stimuli). Although the pattern is generally idiosyncratic in that it varies from one person to the next, within subjects, reliable correspondences can be found.

MVPA has been shown to reveal information within brain regions that was lost in previous fMRI analyses, such as sensitivity to orientation in V1.

Many different classifiers have been used to build the correspondence between activity pattern and mental state, including correlation, linear-discriminant analysis and support vector machines. In some studies, just one a priori region-of-interest is examined, in others the whole brain classified (so providing no specificity), and in others, a roving "searchlight" is used to examine the whole brain one region at a time.

[javascript:void(0);/*1256050228638*/ MVPA References Of Interest]

Some references are:

  • Haynes, JD, & Rees, G (2006) "Decoding mental states from brain activity in humans" Nature Reviews Neuroscience

  • Kriegeskorte, N., Goebel, R., & Bandettini, P. (2006). Information-based functional brain mapping. Proceedings of the National Academy of Sciences of the United States of America, 103(10), 3863-8.

  • Kriegeskorte, N., Cusack, R., Bandettini, P. (2009) "How does an fMRI voxel sample the neuronal activity pattern: Compact-kernel or complex-spatiotemporal filter?" NeuroImage

  • Haxby, JV, Gobbini, MI, Furey, ML, Ishai, A (2001) "Distributed and overlapping representations of faces and objects in ventral temporal cortex" Science

Meeting

There are periodic meetings at the CBU to discuss this topic. See MriPhysicsAndAnalysisForCognitiveNeuroscientists

CbuImaging: MultiVoxelPatternAnalysis (last edited 2013-03-07 21:24:07 by localhost)