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Temporal multivariate pattern analysis (tMVPA): A single trial approach exploring the temporal dynamics of the BOLD signal.

Luca Vizioli | Alexander Bratch | Junpeng Lao | Kamil Ugurbil | Lars Muckli | Essa Yacoub
Journal of neuroscience methods | 2018

fMRI provides spatial resolution that is unmatched by non-invasive neuroimaging techniques. Its temporal dynamics however are typically neglected due to the sluggishness of the hemodynamic signal.

Pubmed ID: 29969602

Research resources used in this publication

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Associated grants

  • Agency: Medical Research Council, United Kingdom
    Id: MR/N003403/1
  • Agency: NIBIB NIH HHS, United States
    Id: T32 EB008389
  • Agency: NEI NIH HHS, United States
    Id: T32 EY025187

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LIBSVM (tool)

RRID:SCR_010243

An integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM) from the laboratory of Chih-Chung Chang and Chih-Jen Lin. It supports multi-class classification.

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