The Cognitive Network Modelling team, at the Krembil Centre for Neuroinformatics, led by Dr Andreea Diaconescu, presents a multi-day educational series on Dynamic causal modelling (DCM) as a class of models for examining effective connectivity in the brain.

See attached for details into the syllabus. 

Topics include:

  • Classical Models of Effective Connectivity and Introduction to DCM
  • DCM for FMRI
  • Regression DCM for FMRI
  • Physiological DCM for FMRI
  • DCM for Electrophysiological Data
  • DCM for steady-state responses & conductance-based DCMs

Learning Objectives: Understand the theory behind DCM and how it can be robustly applied to address questions related to neural mechanisms and effective connectivity from noninvasive recordings such as EEG and fMRI

If you have any questions, please reach out to Krembil.centre@camh.ca

Learn more about the CogNeMo team here.

REGISTER HERE.

Date

Instructor

Topic

Description

Talk RecordingSlide Deck

Feb 1, 2022 @ 3pm EST

Dr. Andreea Diaconescu

Introduction to the Course




Feb 15, 2022 @ 3pm EST

Dr. Andreea Diaconescu

Classical Models of Effective Connectivity and Introduction to DCM

Literature: (Penny et al., 2004; Stephan et al., 2010; McIntosh and Mišić, 2013)

Topics:

  • General Systems Theory: foundations, main ideas, general equations
  • Discuss pros/cons of PPIs, SEM, and show how in which way they represent a specific system model
  • Show how the general concept/equation of GST is mirrored by the DCM state equation

Recording Link

Access Passcode:
G.w?2Nk*J2

Feb 15 slide deck

Mar 1, 2022 @ 3pm EST

Dr. Povilas Karvelis

DCM for FMRI

Literature: (Friston et al., 2003; Stephan et al., 2005, 2007a)

Topics:

  • The general idea of DCM: Bayesian inference on hidden parameters of a dynamic neuronal model that is linked to observed data by a forward model
  • The bilinear state equation


Recording Link

Access Passcode:  dcmfmri2022!

Mar 1 slide deck

Mar 15, 2022 @ 3pm EST

Peter Bedford

Regression DCM for FMRI

Literature: (Frässle et al., 2017, 2018, 2021; Frässle and Stephan, 2021)

Topics:

  • the general idea of regression DCM
  • the bilinear state equation
  • example

Recording Link

Access Passcode: regDCM2022!

Mar 15 slide deck

Mar 29, 2022 @ 3pm EST

Dr. Kamil Uludag, UHN

Physiological DCM for FMRI

Literature: (Stephan et al., 2007b; Havlicek et al., 2015)

Topics:

  • bilinear equation
  • forward model
  • applications

Recording Link

Access Passcode: physDCM2022!

Mar 29 slide deck

Apr 12, 2022 @ 3pm EST

Dr. Zheng Wang

DCM for Electrophysiological Data

Literature: (Jansen and Rit, 1995; David et al., 2006; Kiebel et al., 2006; Garrido et al., 2008)

Topics:

  • DCM for ERPs:
    • the basic neural mass model (Jansen & Rit)
    • forward, backward, lateral connections
  •  DCM for induced responses
    • the phenomenological model
    • linear (within-frequency) vs. nonlinear (across-frequency) coupling

Recording Link

Access Passcode:  

#2j4$J+uEH

April 12 slide deck

Apr 26, 2022 @ 3pm EST

Milad Soltanzadeh

DCM for steady-state responses & conductance-based DCMs

Literature: (Moran et al., 2008, 2009, 2011b, 2011a; Symmonds et al., 2018; Pereira et al., 2021)

Topics:

  • conductance-based DCMs
  • validation studies

Recording Link

Access Passcode:

ghx#6?y#gQ

April 26 slide deck
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