Center for Multimodal Neuroimaging

CMN Presentation Series

This CMN Series is intended to provide researchers with an introduction to topics in multimodal neuroimaging.  Talks are given by members of the representative Teams and Cores.  

Recent Talks
Events in August 2021

NIMH Workshop on Naturalistic Stimuli and Individual Differences

The Center for Multimodal Neuroimaging is thrilled to announce the upcoming workshop on Naturalistic Stimuli and Individual Differences with a range of extramural and intramural speakers presenting on their cutting-edge work. The workshop seeks to:

  1. bring together top scientists using naturalistic stimuli and/or the study of individual differences in neuroimaging;
  2. showcase theoretical, methodological, and analytical advances in these areas of research; and
  3. serve as a catalyst for collaborations between presenters, biomedical NIH researchers, and experts from around the world.

    Speakers: Chris Baldassano, Janice Chen, Elizabeth DuPre, Emily S. Finn, Javier Gonzalez-Castillo, Uri Hasson, Jeremy Manning, Carolyn Parkinson, Elizabeth Redcay, Monica Rosenberg, Tamara Vanderwal, Gang Chen, Peter Molfese

    Chris Baldassano -
    Elizabeth DuPre -
    Janice Chen -
    Gang Chen -
    Emily S Finn -
    Javier Gonzalez-Castillo -
    Jeremey Manning -
    Carolyn Parkinson -
    Elizabeth Redcay -
    Monica Rosenberg -
    Tammy Vanderwal -
    Uri Hasson -

For more information go to

Events in September 2019

Open Science


There is a rising chorus of calls for science to become more reliable, replicable, and reproducible. Many of these demands focus on increasing statistical power by collecting larger sample sizes. However, science is not a heterogenous pursuit, and larger sample sizes may not make sense for many types of research problems. In this talk, I describe why improved statistical power solves many research problems, and what other tools are available to you when a larger sample size does not make sense.

Events in June 2019
Events in April 2019

Benefits of Multi-Echo fMRI


Members of the Section of Functional Imaging Methods (SFIM) and FMRI Facility (FMRIF) presented on the “Advantages of Multi-echo fMRI”.  The presentation is geared to individuals new to multi-echo fMRI and covers: 1) conceptual introduction of multi-echo fMRI and its advantages; 2) denoising fMRI data using postprocessing of multi-echo fMRI in AFNI; and 3) How to add multi-echo fMRI to your paradigms on GE and Siemens scanners.