<html><body><div style="color:#000; background-color:#fff; font-family:times new roman, new york, times, serif;font-size:12pt"><div><span>Thank you very much Makoto. I will let the group know about my results.<br></span></div><div><span>Meltem<br></span></div><div><br></div> <div style="font-family: times new roman, new york, times, serif; font-size: 12pt;"> <div style="font-family: times new roman, new york, times, serif; font-size: 12pt;"> <div dir="ltr"> <font face="Arial" size="2"> <hr size="1"> <b><span style="font-weight:bold;">From:</span></b> Makoto Miyakoshi <mmiyakoshi@ucsd.edu><br> <b><span style="font-weight: bold;">To:</span></b> Meltem Ballan <meltball@rocketmail.com> <br><b><span style="font-weight: bold;">Cc:</span></b> "eeglablist@sccn.ucsd.edu" <eeglablist@sccn.ucsd.edu> <br> <b><span style="font-weight: bold;">Sent:</span></b> Thursday, June 14, 2012 3:39 PM<br> <b><span style="font-weight:
bold;">Subject:</span></b> Re: Simmultanous EEg and FMRI<br> </font> </div> <br>Dear Meltem,<br><br>I'm afraid I'm not qualified to give you advice about it since I have<br>no publication of fMRI-EEG yet. I recommend the book titled<br>'Simustaneous EEG and fMRI' by Ullsperger and Debener instead.<br><br>That said, if you are still interested in it, this is a general<br>explanation of what it should be.<br><br>If you are not familiar with MATLAB coding, then I recommend you use<br>EEGLAB and its plugin FMRIB. If the data format is BVA, then it is<br>supported by EEGLAB, which means you can import the raw data with it.<br>FMRIB has its manual that tells you the order of data processing,<br>which is 1. gradient switching artifact rejection, 2. r-peak detection<br>and marking, 3. ballistocardiogram artifact rejection. Personally, I<br>recommend you use the simple AAS algorithm for the first time, so turn<br>off Adaptive noise filter and optimal basis set
option. Thus you can<br>evaluate stationality of GA artifact.<br><br>If you are familiar with coding, then I personally recommend<br>"Statistical feature extraction for artifact removal from concurrent<br>fMRI-EEG recordings" by Zhongming Liu, Jacco A. de Zwart, Peter van<br>Gelderen, Li-Wei Kuo, Jeff H. Duyn (NeuroImage, 2012). Their codes are<br>available from their site which are EEGLAB compatible (almost; though<br>it is a very well written code, you should be able to understand and<br>edit it if you want to use it seriously), and the performance is, I<br>believe, much better than that of conventional moving-average template<br>construction approach... that's my personal view though.<br><br>Makoto<br><br><br><br>2012/6/14 Meltem Ballan <<a ymailto="mailto:meltball@rocketmail.com" href="mailto:meltball@rocketmail.com">meltball@rocketmail.com</a>>:<br>> Dear Makoto,<br>><br>> I have seen some conversations on EEGLAB pipemail regarding
to the combined<br>> EEG and fMRI studies you have done. I have a set of EEG data recorded<br>> (simultaneously w/ fMRI). It was recorded by Brain Vision Amplifier (Version<br>> 1). What kind of methods and orders you used to analyze your ERPs? I have<br>> experience with single EEG and ERP but feel like I am lost with combined EEG<br>> and this is an older data set and analyzer 1. So, I cannot get product<br>> support from BVA.<br>> Thanks<br>> MB<br><br><br><br>-- <br>Makoto Miyakoshi<br>JSPS Postdoctral Fellow for Research Abroad<br>Swartz Center for Computational Neuroscience<br>Institute for Neural Computation, University of California San Diego<br><br><br> </div> </div> </div></body></html>