[Eeglablist] Filter causality pop_eegfiltnew

Vito De Feo vito.defeo at zmnh.uni-hamburg.de
Sat Jan 18 11:54:57 PST 2014


Dear all,

I agree with Andreas, eegfilt is deprecated. 
Yes, Tim, the Anil's filter uses the same criteria but I your cleanline has more options.

About SIFT, comparing it with Anil Seth's Granger toolbox it seems that in SIFT are missing a few things (probably I don't know very good SIFT):

1) In SIFT there is only the Spectral Granger Analysis, there is not the temporal Granger Analysis. Is this correct?
2) In SIFT there is not a stationarity test. Is this correct?
3) In SIFT there is a common test for stability and consistence. Is this correct?

I would appreciate a lot if you can help me to understand better these issues about SIFT.

Best

Vito


Il giorno 18/gen/2014, alle ore 19:50, Andreas Widmann ha scritto:

> Dear all,
> 
> not directly related to your question and SIFT, but eegfilt is deprecated and I would recommend not using it any longer.
> 
> Best,
> Andreas
> 
> Am 18.01.2014 um 15:47 schrieb "jfochoaster ." <jfochoaster at gmail.com>:
> 
>> Hello all,
>> 
>> I'm following the SIFT tutorial, the section 6.5.1.3 is about filtering, talk about eegfilt, about the zero-phase (acausal) filter
>> 
>> Is better forget this section of filtering and use the recommendations in the past emails?
>> 
>> Are these recommendation critical for the analysis?, I mean, there is a lot of work about MVAR models in ECoG data
>> 
>> Best wishes
>> 
>> John
>> 
>> 
>> On Fri, Jan 17, 2014 at 11:05 PM, mullen.tim at gmail.com <mullen.tim at gmail.com> wrote:
>> Oh thats interesting. I had not seen Anil's multitaper filter (might be fairly recent). But possibly it is exactly the same approach that is in Cleanline. If this is the method advocated by Mitra and Pesaran as in the Chronux toolbox then indeed its the same. And highly recommended.
>> -----Original Message-----
>> Date: Friday, January 17, 2014 1:21:30 pm
>> To: mullen.tim at gmail.com
>> Cc: trotta_gabriele at yahoo.com, drcoben at gmail.com, mmiyakoshi at ucsd.edu, widmann at uni-leipzig.de, eeglablist at sccn.ucsd.edu
>> From: "Vito De Feo" <vito.defeo at zmnh.uni-hamburg.de>
>> Subject: Re: [Eeglablist] Filter causality pop_eegfiltnew
>> 
>> Before using the Cleanline (that I used today for the first time) I did't use the notch filter, I used a multi taper filtering made by Anil Seth. I know that filtering is very bad for later VAR modeling, especially notch and high pass. Low pass is better (usually I use multi taper filtering to remove the noise lines and a low pass causal filter with cut off filtering of 100 Hz).
>> Do you think is ok Tim?
>> Best
>> Vito
>> 
>> 
>> Il giorno 17/gen/2014, alle ore 20:53, mullen.tim at gmail.com ha scritto:
>> 
>> > Do not notch filter your data! This can be very bad for later VAR modeling -- and IMO bad in general. You can use an adaptive spectral regression method such as that in the Cleanline plugin for eeglab to remove line noise.
>> >
>> > See Barnett and Seth 2011 and Mitra and Pesaran 1999 for theoretical discussions.
>> >
>> > Rob, there is no video of the SIFT workshop but the lecture pdfs are online at the eeglab workshop page.
>> >
>> > Tim
>> > -----Original Message-----
>> > Date: Friday, January 17, 2014 10:18:32 am
>> > To: "
>> 
>> _______________________________________________
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>> 
>> 
>> -- 
>> John Ochoa
>> Docente de Bioingeniería
>> Universidad de Antioquia

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