A half-day educational course at the 2013 Organization for Human Brain Mapping meeting, 16 June.

Organizers Victor Solo, University of New South Wales and Thomas Nichols, University of Warwick

Description While the explosive growth of neuroimaging over the last 20 years is now a commonplace, less remarked is the similar growth of neuroimaging data analysis methodology. Indeed since the beginning of the HBM conference about 20% of the posters have been on methodology demonstrating emphatically the enduring importance of methodology. Further the intense recent interest in connectivity has put pressure on the methodology to deal coherently with the complementary information supplied by different modalities such as MEG, EEG, DTI and so on. But how to do this for those who lack the expertise without handing all responsibility to the 'quants'? This course will tackle that challenge from a number of angles. But an underlying theme will be a bottoom-up approach that starts with realistic neuroimaging data and allows the issues to thereby emerge naturally. But even though the whole neuroimaging community of necessity uses methods, only a fraction are experts. Yet rigorous science requires the scientisit to be critical of all aspects of the science and this includes methodology.

Talks

• Introduction and Philosophy and Examples of Skeptical Neuroimaging
  Victor Solo, University of New South Wales, Sydney, Australia
• Efficient Modeling of fMRI Data Avoiding Misspecification, Bias and Power Loss
  Martin Lindquist, Johns Hopkins University, Baltimore, MD, USA
• Building Confidence in fMRI Results with Model Diagnosis
  Thomas E. Nichols, Warwick University, Coventry, UK
• Beyond Univariate Analyses: Multivariate Modeling of Functional Neuroimaging Data
  DuBois Bowman, Emory University, Atlanta, GA, USA
• Network Modelling and Connectivity in Functional Neuroimaging - Keeping It Real
  Mark Woolrich, University of Oxford, Oxford, UK
• Avoiding Bias in Longitudinal Image Processing
  Martin Reuter, MIT, Boston, MA, USA
• Direct Non-Invasive Measurements of Neural Currents with MEG and EEG
  Matti Hamalainen, Martinos Center, Harvard Medical School, Boston, MA, USA