User profiles for M. I. Garrido
Professor Marta I. GarridoThe University of Melbourne Verified email at unimelb.edu.au Cited by 6845 |
[HTML][HTML] The mismatch negativity: a review of underlying mechanisms
The mismatch negativity (MMN) is a brain response to violations of a rule, established by a
sequence of sensory stimuli (typically in the auditory domain) [Näätänen R. Attention and …
sequence of sensory stimuli (typically in the auditory domain) [Näätänen R. Attention and …
[HTML][HTML] Dynamic causal modelling for EEG and MEG
Dynamic Causal Modelling (DCM) is an approach first introduced for the analysis of functional
magnetic resonance imaging (fMRI) to quantify effective connectivity between brain areas. …
magnetic resonance imaging (fMRI) to quantify effective connectivity between brain areas. …
Issues and recommendations from the OHBM COBIDAS MEEG committee for reproducible EEG and MEG research
The Organization for Human Brain Mapping (OHBM) has been active in advocating for the
instantiation of best practices in neuroimaging data acquisition, analysis, reporting and …
instantiation of best practices in neuroimaging data acquisition, analysis, reporting and …
The functional anatomy of the MMN: a DCM study of the roving paradigm
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 …
(i) the mismatch negativity (MMN) is generated by self-organised interactions within a …
Preserved feedforward but impaired top-down processes in the vegetative state
… [Adapted from a figure in MI Garrido et al. (22), with permission from Elsevier] … Garrido MI,
et al., The functional anatomy of the MMN: A DCM study of the roving … Marta Isabel Garrido …
et al., The functional anatomy of the MMN: A DCM study of the roving … Marta Isabel Garrido …
Evoked brain responses are generated by feedback loops
Neuronal responses to stimuli, measured electrophysiologically, unfold over several hundred
milliseconds. Typically, they show characteristic waveforms with early and late components…
milliseconds. Typically, they show characteristic waveforms with early and late components…
[HTML][HTML] Dynamic causal modelling of evoked potentials: a reproducibility study
Dynamic causal modelling (DCM) has been applied recently to event-related responses (ERPs)
measured with EEG/MEG. DCM attempts to explain ERPs using a network of interacting …
measured with EEG/MEG. DCM attempts to explain ERPs using a network of interacting …
Repetition suppression and plasticity in the human brain
The suppression of neuronal responses to a repeated event is a ubiquitous phenomenon in
neuroscience. However, the underlying mechanisms remain largely unexplored. The aim of …
neuroscience. However, the underlying mechanisms remain largely unexplored. The aim of …
Dynamic causal modeling of the response to frequency deviants
… The combined effects of changes in synaptic efficacy and sensitivity suppress prediction
error over repeated exposure to standards (MI Garrido, JM Kilner, SJ Kiebel, KE Stephan, T …
error over repeated exposure to standards (MI Garrido, JM Kilner, SJ Kiebel, KE Stephan, T …
[HTML][HTML] Sparse network-based models for patient classification using fMRI
Pattern recognition applied to whole-brain neuroimaging data, such as functional Magnetic
Resonance Imaging (fMRI), has proved successful at discriminating psychiatric patients from …
Resonance Imaging (fMRI), has proved successful at discriminating psychiatric patients from …