Dynamic Causal Modelling (DCM) for M/EEG
Channel: Pranay Yadav
Date: 2022-09-10

In this introductory talk, I explain generative modelling of M/EEG using Dynamic Causal Modelling (DCM). I present the main principles of DCM and describe the extended 3-population Jansen-Rit neural mass model which constitutes the DCM-ERP model for event-related potentials and cross-spectral densities. I finish with a summary of the key steps involved in a DCM analysis and possible investigations on inverted DCM models.

It would be advisable to watch at 1.5x.

Sections:
00:00 Introduction
00:26 Dynamic Causal Modeling
03:12 Generative Modeling with DCM
08:56 Types of DCM
12:50 Neural Mass Models for M/EEG
17:00 Modeling the Neocortex
19:43 The Jansen-Rit Model
33:25 Dynamics due to E-I balance
35:18 Connecting cortical columns: Extrinsic connections
37:26 Extrinsic connections: An example architecture
38:52 The extended Jansen-Rit Model or the 'ERP' model
41:55 Neuronal models in DCM
43:16 3-population models: Variations of Jansen-Rit/ERP
46:41 4-population models: The Canonical Micro-Circuit or CMC
47-51 Summary of neuronal models
49:25 Observation models
51:36 DCM analysis pipeline
53:24 Model inversion
55:18 Investigating with DCM: Hypothesis testing
56:26 Summary