Subject: Re: [AUDITORY] Efficient Brain Recording - Audio to EEG From: Jonathan Z Simon <jzsimon@xxxxxxxx> Date: Sat, 29 Jun 2024 07:33:33 -0400--Apple-Mail-67AC0FAE-AC4D-421F-B9EC-E69342300D5D Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: quoted-printable Hi Malcolm, My guess is that it would be a 40 Hz click train presented at a high amplitu= de (e.g., comfortably loud). You should be able to see a 40 Hz peak in the r= esponse DFT pretty quickly, maybe 10 seconds in, on Cz. Jonathan -- Jonathan Z. Simon (he/him) University of Maryland Dept. of Electrical & Computer Engineering / Dept. of Biology / Institute fo= r Systems Research 8223 Paint Branch Dr. College Park, MD 20742 USA Office: 1-301-405-3645, Lab: 1-301-405-9604, Fax: 1-301-314-9281 http://www.isr.umd.edu/Labs/CSSL/simonlab/ > On Jun 29, 2024, at 12:04=E2=80=AFAM, Malcolm Slaney <000001757ffb5fe1-dma= rc-request@xxxxxxxx> wrote: >=20 > =EF=BB=BFIs there a consensus about what is the most *efficient* way to es= tablish that there is an audio-brain-recording connection? By efficient I m= ean in terms of the least amount of subject time. >=20 > What I want to know is: how can I mostly quickly establish that we are pi= cking up EEG signals *due* to an audio signal? >=20 > I suspect ABRs, since they are used in infant screening. FFRs seem intere= sting because they are continuous. ERPs seem more problematic since they of= ten have a low repetition rate. (Acknowledging that strictly speaking the A= BR is a form of ERP.) >=20 > Is there a written comparison? >=20 > Thanks. >=20 > - Malcolm --Apple-Mail-67AC0FAE-AC4D-421F-B9EC-E69342300D5D Content-Type: text/html; charset=utf-8 Content-Transfer-Encoding: quoted-printable <html><head><meta http-equiv=3D"content-type" content=3D"text/html; charset=3D= utf-8"></head><body dir=3D"auto">Hi Malcolm,<div><div>My guess is that it wo= uld be a 40 Hz click train presented at a high amplitude (e.g., comfortably l= oud). You should be able to see a 40 Hz peak in the response DFT pretty quic= kly, maybe 10 seconds in, on Cz.</div><div>Jonathan</div><div><br id=3D"line= BreakAtBeginningOfSignature"><div dir=3D"ltr"><div><div><div class=3D"" styl= e=3D"word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-whit= e-space;"><span style=3D"background-color: rgba(255, 255, 255, 0);">--<br cl= ass=3D"">Jonathan Z. Simon (he/him)</span></div><div class=3D"" style=3D"wor= d-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;= "><span style=3D"background-color: rgba(255, 255, 255, 0);">University of Ma= ryland<br class=3D"">Dept. of Electrical & Computer Engineering / D= ept. of Biology / Institute for Systems Research<br class=3D""><span di= r=3D"ltr">8223 Paint Branch Dr.</span><br class=3D""><span dir=3D"ltr">Colle= ge Park, MD 20742 USA</span><br class=3D"">Office: <span dir=3D"ltr">1-= 301-405-3645</span>, Lab: <span dir=3D"ltr">1-301-405-9604</span>, Fax:= <span dir=3D"ltr">1-301-314-9281</span><br class=3D""><a href=3D"http:= //www.isr.umd.edu/Labs/CSSL/simonlab/" class=3D"">http://www.isr.umd.edu/Lab= s/CSSL/simonlab/</a></span></div></div></div></div><div dir=3D"ltr"><br><blo= ckquote type=3D"cite">On Jun 29, 2024, at 12:04=E2=80=AFAM, Malcolm Slaney &= lt;000001757ffb5fe1-dmarc-request@xxxxxxxx> wrote:<br><br></blockq= uote></div><blockquote type=3D"cite"><div dir=3D"ltr">=EF=BB=BF<span>Is ther= e a consensus about what is the most *efficient* way to establish that there= is an audio-brain-recording connection? By efficient I mean in terms o= f the least amount of subject time.</span><br><span></span><br><span>What I w= ant to know is: how can I mostly quickly establish that we are picking= up EEG signals *due* to an audio signal?</span><br><span></span><br><span>I= suspect ABRs, since they are used in infant screening. FFRs seem inte= resting because they are continuous. ERPs seem more problematic since t= hey often have a low repetition rate. (Acknowledging that strictly spe= aking the ABR is a form of ERP.)</span><br><span></span><br><span>Is there a= written comparison?</span><br><span></span><br><span>Thanks.</span><br><spa= n></span><br><span>- Malcolm</span><br></div></blockquote></div></div></body= ></html>= --Apple-Mail-67AC0FAE-AC4D-421F-B9EC-E69342300D5D--