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.
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:
- bring together top scientists using naturalistic stimuli and/or the study of individual differences in neuroimaging;
- showcase theoretical, methodological, and analytical advances in these areas of research; and
- 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 - https://videocast.nih.gov/watch=42538&start=133
Elizabeth DuPre - https://videocast.nih.gov/watch=42538&start=2831
Janice Chen - https://videocast.nih.gov/watch=42538&start=5927
Gang Chen - https://videocast.nih.gov/watch=42538&start=7450
Emily S Finn - https://videocast.nih.gov/watch=42538&start=10164
Javier Gonzalez-Castillo - https://videocast.nih.gov/watch=42538&start=13214
Jeremey Manning - https://videocast.nih.gov/watch=42538&start=16766
Carolyn Parkinson - https://videocast.nih.gov/watch=42538&start=18368
Elizabeth Redcay - https://videocast.nih.gov/watch=42538&start=20638
Monica Rosenberg - https://videocast.nih.gov/watch=42538&start=23549
Tammy Vanderwal - https://videocast.nih.gov/watch=42538&start=26564
Uri Hasson - https://videocast.nih.gov/watch=42538&start=29491
For more information go to https://cmn.nimh.nih.gov/cmnworkshop2021
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.
The Center for Multimodal Neuroimaging (CMN; https://cmn.nimh.nih.gov/) hosted a presentation on “Introduction to Simultaneous EEG-fMRI” on June 3rd in Building 40 Room 1201/1203 at 10AM. The presentation focused on the basics of EEG-fMRI and resources available at NIMH covering 1) equipment setup, 2) data acquisition, 3) data analysis.
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.