Measuring, Modeling, and Modulating Cross-Frequency Coupling

Back to Main BRAIN TMM page

 

PI: Kramer, Mark Alan (contact); Eden, Uri Tzvi

Email: mak@bu.edu

Institution: Boston University (Charles River Campus)

Title: Measuring, Modeling, and Modulating Cross-Frequency Coupling

Cross frequency coupling (CFC) is emerging as a fundamental feature of brain activity, correlated with brain function and dysfunction. Analysis of CFC focuses on relationships between the amplitude, phase, and frequency of two rhythms from different frequency bands. We propose a new statistical modeling framework to estimate CFC. This framework provides a principled approach to assess multiple types of CFC, and is easily extendable to study additional relationships that may impact CFC. The method is broadly applicable to field data such as the electroencephalogram (EEG), magnetoencephalogram (MEG), and local field potential (LFP). Weblink to access tool:  https://github.com/Eden-Kramer-Lab/GLM-CFC

Grant #: EB026938 

Status:

Deliverables:

Kramer & Eden, R01EB026938

NIBIB Math Project Kramer R01EB026938.pptx

2020 BRAIN PI Meeting - Labroots poster, https://events.labroots.com/event/BRAIN-Initiative-Investigators-Virtual-Meeting/en-us#!/Poster_Hall/n438411

Link to Data/Model Reuse abstract, [Link] 

 

2021 Brain PI Meeting

Update:  New method for real-time phase estimation, see State Space Modeling Approach to Real-Time Phase Estimation

Link to Poster:  Wodeyar et al., BRAIN 2021 R01EB026938.pdf

Demo: Click here for video description of poster.

 

2021 BRAIN Awardee Welcome Meeting/Intro to DATA Scholar (11-2021 Update)

 

Back to Main BRAIN TMM page

Table sorting checkbox
Off