EEG Cross Frequency Coupling, Consciousness Biomarker

[barlehmann]

Title

EEG Cross Frequency Coupling, Consciousness Biomarker for Consciousness State Discrimination

Leaders

Bar Lehmann, MSW, LCSW, BCN, Owner at Better State of Mind Neurofeedback in Washington, DC.

Highly trained (by internationally renowned experts) experienced, board-certified Neurofeedback clinician and EEG researcher

Mattermost: brainhack @barlehmann

Collaborators

No response

Brainhack Global 2021 Event

Brainhack Washington DC

Project Description

Participate in one segment of an ongoing, cutting edge, citizen science, neuro-meditation research project. Help to implement pre-made functions described in study of cross-frequency coupling (CFC) analysis of EEG for discriminating subjective states by advanced meditators.

CFC is central to consciousness alterations in anesthesia, sleep, as well as psychedelics. Gradations of arousal, as well as various states of consciousness have been indexed by it.

Done in MNE python and/or Matlab. This implementation will lay the groundwork to develop this project to implement neurofeedback for neuro-meditation as next steps. Will also move towards evaluating small changes during a neurofeedback sessions. The code is (being implemented/re-created from directions from prior research article) for evaluating cross-frequency coupling of EEG data.

Contact Bar.lehmann at 301-768-0307 or bar.lehmann@gmail.com

• How to get started?

Start familiarizing your self with basics of CFC and the implementation of it on Matlab as discussed in this lengthy pdf, you don't need to read the whole thing, but focus on the implementation of the two methods of CFC in.

The MNE Matlab Toolbox allows access of the Matlab functions through MNE: https://mne.tools/stable/overview/matlab.html#mne-matlab

Link to project repository/sources

https://github.com/barlehmann/EEG_State_Discrimination

Goals for Brainhack Global

Implement analysis of cross frequency coupling in either Matlab or Python for EEG datasets.

Good first issues

Issue 1, learn more about CFC and its relevance to meditation, as well as find documentation related to its implementation in matlab

The MNE Matlab Toolbox allows access of the Matlab functions through MNE: https://mne.tools/stable/overview/matlab.html#mne-matlab

Communication channels

Bar Lehmann by phone (301)-768-0307 Located in Washington, DC (Eastern Time Zone, USA).

• Email: bar.lehmann@gmail.com,
• Mattermost: https://mattermost.brainhack.org/brainhack/channels/cfc-eeg

Discord will be the communication channel: Server Name: CFC EEG Project Bar’s name on discord: bar #4734

Skills

Coders familiar with basics of EEG, python (especially MNE python) and/or MATLAB/EEGLab to implement the Cross Frequency Coupling analysis in the following study study

Advanced coding or neuroscience knowledge will be helpful but certainly not required since packages are all being implemented rather than created.

Coders who are interested in flexible opportunities to be involved with ongoing team of long term citizen science research exploring consciousness biomarkers and neurofeedback.

Any others interested in the project, help with coordination, outreach, or other aspects of the project are welcome

Onboarding documentation

https://www.researchgate.net/profile/Julio-Rodriguez-Larios/publication/351812052_ON_THE_RHYTHMS_OF_THOUGHT_EEG_alpha-theta_cross-frequency_dynamics_during_arithmetic_performance_mind_wandering_and_meditative_states/links/60ab63a045851522bc10de58/ON-THE-RHYTHMS-OF-THOUGHT-EEG-alpha-theta-cross-frequency-dynamics-during-arithmetic-performance-mind-wandering-and-meditative-states.pdf#page=83

What will participants learn?

Contributors will learn more about EEG, cross-frequency coupling and its centrality to consciousness changes in the, and also get experience with MNE Python and/or Matlab / EEGLAB

Coders who are interested in flexible opportunities to be involved with ongoing team of long term citizen science research exploring consciousness biomarkers and neurofeedback.

Data to use

Data is on the github repository. This work will use already-recorded and labeled 19-channel EEG datasets to evaluate metrics of entropy and cross frequency coupling of more “awake/aroused” states of consciousness vs. more tired less aroused states, and eventually evaluate meditative states.

Number of collaborators

more

Credit to collaborators

Have their names listed on the Github info document for the project. I will also be happy to provide written references for anyone who contributed.

Image

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Type

coding_methods, method_development, pipeline_development, other

Development status

0_concept_no_content

Topic

physiology, systems_neuroscience, other

Tools

Jupyter, MNE, other

Programming language

Matlab, Python

Modalities

EEG

Git skills

1_commit_push

Anything else?

No response

Things to do after the project is submitted and ready to review.

• Add a comment below the main post of your issue saying: Hi @brainhackorg/project-monitors my project is ready!
• Twitter-sized summary of your project pitch.

[barlehmann]

Hi @brainhackorg/project-monitors my project is ready!

Implement Cross Frequency Coupling Analysis in EEG as Consciousness Alteration Biomarker: Cutting-edge discrimination sensitivity of advanced meditation EEG patterns

[Remi-Gau]

Isn't this a duplicate of #112 ?

[barlehmann]

Remi, yes this is slightly adapted in terms of the contact information being updated for Brainhack DC, but I had submitted this earlier in another brainhack.

…

On Thu, Dec 9, 2021 at 1:14 PM Remi Gau ***@***.***> wrote: Isn't this a duplicate of #112 <#112> ? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#182 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AOPSSYI4V3PMH6UCDX2BJQ3UQDWZ3ANCNFSM5JUKNRQA> . Triage notifications on the go with GitHub Mobile for iOS <https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675> or Android <https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub>.