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Cell Biology JoVE (Open Access) Citable · DOI

Cross-Modal Multivariate Pattern Analysis

DOI: 10.3791/3307-v
What you'll learn
  • ✓ Explain multivariate pattern analysis fundamentals
  • ✓ Apply MVPA cross-modally across sensory cortices
  • ✓ Describe convergence-divergence zone framework
  • ✓ Interpret cross-modal prediction results from studies
Protocol

Biopharma Insights Classical multivariate pattern analysis predicts sensory stimuli a subject perceives from neural activity in the corresponding cortices (e.g. visual stimuli from activity in visual cortex). Here, we apply pattern analysis cross-modally and show that sound- and touch-implying visual stimuli can be predicted from activity in auditory and somatosensory cortices, respectively.

Difficulty
advanced
Total time
~2-3 hrs/participant (fMRI session)
Model organism
Human

Steps

1
Understand multivariate pattern analysis basics

Learn how MVPA decodes perceived sensory stimuli from distributed neural activity patterns in corresponding cortices.

▶ 01:44
2
Apply cross-modal MVPA within CDZ framework

Extend pattern analysis across modalities using convergence-divergence zones to predict stimuli from non-primary cortices.

▶ 07:29
3
Review two cross-modal MVPA studies

Examine results showing sound- and touch-implying visual stimuli predicted from auditory and somatosensory cortices.

▶ 11:43
4
Summarize cross-modal MVPA implications

Conclude how cross-modal prediction informs sensory processing and cortical organization models.

▶ 13:06
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