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Marta I. Garrido

Researcher at University of Melbourne

Publications -  116
Citations -  5569

Marta I. Garrido is an academic researcher from University of Melbourne. The author has contributed to research in topics: Mismatch negativity & Oddball paradigm. The author has an hindex of 30, co-authored 105 publications receiving 4616 citations. Previous affiliations of Marta I. Garrido include Australian Research Council & University of California, Los Angeles.

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The mismatch negativity: a review of underlying mechanisms.

TL;DR: A review of studies that focus on neuronal mechanisms underlying the MMN generation, discusses the two major explanatory hypotheses, and proposes predictive coding as a general framework that attempts to unify both.
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Preserved feedforward but impaired top-down processes in the vegetative state.

TL;DR: It is found that the only significant difference between patients in a vegetative state and controls was an impairment of backward connectivity from frontal to temporal cortices, which emphasizes the importance of top-down projections in recurrent processing that involve high-order associative cortices for conscious perception.
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The functional anatomy of the MMN: A DCM study of the roving paradigm

TL;DR: Both the hierarchical nature of the MMN generation and the conjoint role of changes in extrinsic and intrinsic connections are confirmed, consistent with a predictive coding account of repetition-suppression and theMMN, which gracefully accommodates two important mechanistic perspectives.
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Evoked brain responses are generated by feedback loops

TL;DR: It is shown that evoked brain responses are generated by recurrent dynamics in cortical networks, and late components of event-related responses are mediated by backward connections, a generic feature of brain responses to changes in the sensorium and a key architectural component of functional anatomy.
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Dynamic Causal Modelling of evoked potentials: A reproducibility study

TL;DR: The validity of DCM is established by assessing its reproducibility across subjects by using an oddball paradigm to elicit mismatch responses and evaluating three different connectivity models, which showed that a more complex model is not necessarily the most likely model.