[WTI-trainee] FW: MEG/EEG course for Spring semester

[Guerrero-Medina, Giovanna]

See below!

Best,

Giovanna



Giovanna Guerrero-Medina, PhD [A button for name playback in email signature] <https://www.name-coach.com/giovanna-guerrero-medina>

She/Her/Ella

Asst. Director for Professional Development & Community,

Wu Tsai Institute at Yale

giovanna.guerrero-medina at yale.edu<mailto:giovanna.guerrero-medina at yale.edu>

616.643.7666 (cell)

wti.yale.edu<https://wti.yale.edu/>



---------- Forwarded message ---------
From: Gregory McCarthy <gregory.mccarthy at yale.edu<mailto:gregory.mccarthy at yale.edu>>
Date: Fri, Dec 5, 2025 at 11:21 AM
Subject: MEG/EEG course for Spring semester
To: Gregory McCarthy <gregory.mccarthy at yale.edu<mailto:gregory.mccarthy at yale.edu>>


Dear Yale Graduate Student/Postdoc,

I am sending this email because you expressed interest in an initial announcement for a half-credit course on MEG/EEG for the upcoming spring semester. I have additional information here. Please feel free to share with others who might be interested.

Best,

Gregory McCarthy

***

PSYC 7250 — Research Topics in Human Neuroscience will be offered this Spring semester as a half-credit course focused on MEG and EEG. The course is aimed primarily at graduate students, and it is extremely helpful that graduate students formally register, as the course cannot be offered if no one enrolls. Postdocs are very welcome to participate as well.

The class will meet once a week for 75 minutes. My preferred meeting time is Wednesday at 3:30 pm, but Tuesday or Friday at 3:30 pm are also possible if those times work better for most students. I will ask interested students to indicate their scheduling preferences.

I will begin by leading two or three sessions that will cover the fundamental principles of MEG and EEG, including the relevant physiology, the biophysics of electric and magnetic fields, and how those fields propagate through the brain as a volume conductor. I have developed a suite of demonstration programs that I will use in class to illustrate how these fields behave in simulated settings (e.g., a sphere compared to a real head).

The course will also introduce the technology behind MEG, with attention to the differences between conventional SQUID-based systems—such as the MEGIN system at Brainworks—and the OPM technology used in Brainworks’ CERCA system. We will work through hands-on analyses of MEG and EEG data using both Brainworks’ Python pipeline and the OSL pipeline, which should be especially valuable for students planning to use these systems in their research.

Later in the course, we will discuss methods for localizing neural sources, including beamforming and related approaches, as well as time- and frequency-domain analysis techniques more broadly.

Student responsibilities will be light, consistent with a half-credit course: attending class, reading assigned papers, and coming prepared for discussion. During sessions focused on current research, I may ask students to lead a discussion of a paper. Postdocs who are already conducting MEG/EEG studies may also be invited to describe aspects of their current workflows—for example, the models they use for source localization.

If you have not already indicated your interest in the class (e.g., someone forwarded this to you), please let me know so I can plan accordingly.
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