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Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
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Potential for false positive results from multi-voxel pattern analysis on functional imaging data.

Zuo Zhang1,1, Youhao Jiang2,3,1, Yaoru Sun1

  • 1Department of Computer Science and Technology, Tongji University, Shanghai, China.

Technology and Health Care : Official Journal of the European Society for Engineering and Medicine
|June 7, 2017
PubMed
Summary
This summary is machine-generated.

Multi-voxel pattern analysis (MVPA) can yield false positives in brain imaging studies. Researchers suggest using control regions to validate findings, rather than just chance-level comparisons, to ensure accuracy.

Keywords:
Multi-voxel pattern analysisbrain imagingfalse positivefunctional MRI

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Neuroimaging

Background:

  • Multi-voxel pattern analysis (MVPA) is a key technique for studying cognitive processes using functional brain imaging.
  • Previous research has largely overlooked the potential for MVPA's high sensitivity to produce false positive results.

Purpose of the Study:

  • To investigate the potential for false positives in Multi-voxel pattern analysis (MVPA).
  • To examine how varying parameters affect MVPA results and the emergence of false positives.

Main Methods:

  • MVPA was applied to a public functional MRI dataset focusing on neural object category encoding.
  • Analysis involved manipulating the number of voxels within regions of interest (ROIs) and the number of object categories.

Main Results:

  • Classification accuracy increased with a greater number of voxels.
  • False positives were detected in the primary auditory cortex and white matter ROIs, areas not expected to process object information.

Conclusions:

  • MVPA classification accuracy may be artificially inflated due to method sensitivity.
  • Future MVPA studies should incorporate control ROIs and compare target ROI accuracy against control ROI accuracy, not just chance levels.