Subject: Re: [AUDITORY] EEG Auditory Gamma Responses From: Vibha Viswanathan <vibha.viswana@xxxxxxxx> Date: Thu, 4 Mar 2021 13:42:33 -0500--00000000000046714105bcba55cb Content-Type: text/plain; charset="UTF-8" Hi Burcu, You're right that it's challenging to measure gamma effects with EEG. We have had some success measuring slow gamma-power fluctuations (gamma envelopes) that are phase locked to the low-frequency information in the input stimulus (specifically, speech). I should mention though that the gamma-band effects we saw were much weaker (although statistically significant) compared to low-frequency EEG responses (our 2019 paper <https://www.eneuro.org/content/6/5/ENEURO.0057-19.2019?utm_source=TrendMD&utm_medium=cpc&utm_campaign=eNeuro_TrendMD_0> has the analysis details). Hope this helps! Vibha --- Vibha Viswanathan Graduate Student Researcher Purdue University On Thu, Mar 4, 2021 at 12:28 AM Burcu Bayram <burcu.bayram@xxxxxxxx> wrote: > Hello, > > I am a new PhD student working on a project investigating auditory > predictions. We would like to look into prediction error related gamma > band activity using EEG. Since EEG seems to be regarded suboptimal for > detecting auditory responses (especially gamma) I would appreciate very > much if anyone could share their experience and suggestions, for > instance regarding optimal stimulus properties or analysis approaches > (e.g. source localization). I am familiar with most of the published > work, but would also be very interested in potential experience from > unpublished or pilot data. > > Best, > Burcu Bayram > --00000000000046714105bcba55cb Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr"><div dir=3D"ltr">Hi=C2=A0Burcu,</div><div dir=3D"ltr"><br>= </div><div>You're right that it's challenging to measure gamma effe= cts with EEG. We have had some success measuring slow gamma-power fluctuati= ons (gamma envelopes) that=C2=A0are phase locked to the low-frequency info= rmation in the input stimulus (specifically, speech). I should mention thou= gh that the gamma-band effects we saw were much weaker (although statistica= lly significant) compared to low-frequency EEG responses (<a href=3D"https:= //www.eneuro.org/content/6/5/ENEURO.0057-19.2019?utm_source=3DTrendMD&u= tm_medium=3Dcpc&utm_campaign=3DeNeuro_TrendMD_0">our 2019 paper</a>=C2= =A0has the analysis details).</div><div><br></div><div>Hope this helps!</di= v><div>Vibha</div><div>---</div><div>Vibha Viswanathan<br></div><div>Gradua= te Student Researcher</div><div>Purdue University</div><div><br></div><div>= =C2=A0</div></div><br><div class=3D"gmail_quote"><div dir=3D"ltr" class=3D"= gmail_attr">On Thu, Mar 4, 2021 at 12:28 AM Burcu Bayram <<a href=3D"mai= lto:burcu.bayram@xxxxxxxx">burcu.bayram@xxxxxxxx</a>> wrote:<br>= </div><blockquote class=3D"gmail_quote" style=3D"margin:0px 0px 0px 0.8ex;b= order-left-width:1px;border-left-style:solid;border-left-color:rgb(204,204,= 204);padding-left:1ex">Hello,<br> <br> I am a new PhD student working on a project investigating auditory <br> predictions. We would like to look into prediction error related gamma <br> band activity using EEG. Since EEG seems to be regarded suboptimal for <br> detecting auditory responses (especially gamma) I would appreciate very <br= > much if anyone could share their experience and suggestions, for <br> instance regarding optimal stimulus properties or analysis approaches <br> (e.g. source localization). I am familiar with most of the published <br> work, but would also be very interested in potential experience from <br> unpublished or pilot data.<br> <br> Best,<br> Burcu Bayram<br> </blockquote></div> --00000000000046714105bcba55cb--