The functional anatomy of the MMN: A DCM study of the roving paradigm

By Marta Isabel Garrido, Karl J. Friston, Stefan J. Kiebel, Klaas E. Stephan, Torsten Baldeweg, James M. Kilner. NeuroImage, 2008

447 citations recorded by the source corpus.

Using dynamic causal modelling (DCM), we have presented provisional evidence to suggest: (i) the mismatch negativity (MMN) is generated by self-organised interactions within a hierarchy of cortical sources (Garrido et al., 2007) and (ii) the MMN rests on plastic change in both extrinsic (between-source) and intrinsic (within source) connections (Garrido et al., under review). In this work we re-visit these two key issues in the context of the roving paradigm. Critically, this paradigm allows us to discount any differential response to differences in the stimuli per se, because the standards and oddballs are physically identical. We were able to confirm both the hierarchical nature of the MMN generation and the conjoint role of changes in extrinsic and intrinsic connections. These findings are consistent with a predictive coding account of repetition-suppression and the MMN, which gracefully accommodates two important mechanistic perspectives; the model adjustment hypothesis (Winkler et al., 1996; Näätänen and Winkler, 1999; Sussman and Winkler, 2001) and the adaptation hypothesis (May et al., 1999; and Jääskeläinen et al., 2004).

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/5f449ebb98d219ecbbad39f5079111f4f78b7369

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Karl J. Friston
2. Jean Daunizeau
3. Klaas E. Stephan
4. W. D. Penny
5. Stefan J. Kiebel
6. James M. Kilner
7. Rosalyn J. Moran
8. Marta Isabel Garrido

In Experimental and Cognitive Psychology

1. Karl J. Friston
2. Micah M. Murray
3. Marta Isabel Garrido
4. Richard N. Henson
5. C. Michel
6. Antonia Thelen
7. Pawel J. Matusz

Citations in the corpus

• Ten Simple Rules for Dynamic Causal Modelling (2009, unknown): “For example, one can compare DCMs that differ in terms of which inputs affect the system, where these inputs enter, whether mechanisms are linear or nonlinear, which anatomical connections exist, or which priors are best (Acs and Greenlee, 2008; Chen et al., 2009; Garrido et al., 2008; Stephan et al”
• EEG and MEG Data Analysis in SPM8 (2011, background): “A compelling example of this can be found in [63].”
• Dynamic causal modeling for EEG and MEG (2009, methodology): “Similar results were found in another study, where we used a ‘‘roving" design in which physically identical stimuli play the role of standard and deviant tones [Garrido et al., 2008].”
• The mismatch negativity: A review of underlying mechanisms (2009, methodology): “This idea is supported by recent results from our connectivity modelling approach to the MMN (Garrido et al., 2008, under review).”
• Functional and Effective Connectivity: A Review (2011, unknown): “Figure 7 shows an exemplar analysis using the data reported in Garrido et al. (2008).”
• Towards the utilization of EEG as a brain imaging tool (2012, background): “Despite these controversial findings, the evidence from the ERP topography clearly points to frontal (aside from temporal) generators contributing to the MMN; a conclusion recently supported by dynamic causal modeling of ERPs (Boly et al., 2011; Garrido et al., 2008).”