Topics of Interest

PRNI welcomes original papers on multivariate predictive models of neuroimaging data, using e.g. fMRI, sMRI, EEG, MEG, ECoG modalities, including but not limited to the following topics:

Learning from neuroimaging data

  •    Online, incremental, and adaptive learning
  •   Functional brain connectivity Modality combinations
  •   Optimization and regularization
  •   Dimensionality reduction
  •   Sparse modeling
  •   Graph-based techniques and graphical models

    • Interpretability of models and results

  •   High-dimensional data visualization
  •   Multivariate and multiple hypothesis testing
  •   Links between brain structure and function
  •   Summarization / presentation of inference results

    • Applications

  •   Disease diagnosis and prognosis
  •   Real-time fMRI
  •   Resting-state modeling
  •   Cognitive neurosciences

    • Proceedings

    Authors should prepare full papers with a maximum length of 4 pages (double-column, PDF) for review. Proceedings will be published by Conference Publishing Services (CPS) in electronic format. They will be submitted to the IEEExplore and CS Digital Library online repositories, and submitted for indexing in IET INSPEC, EI Compendex (Elsevier), Thomson ISI, and others. Participants will receive a CDROM.