Zobrazeno 1 - 10
of 542
pro vyhledávání: '"C. Del Gratta"'
Publikováno v:
Il Foro Italiano, 1882 Jan 01. 7, 117/118-119/120.
Externí odkaz:
https://www.jstor.org/stable/23089191
Autor:
Gabba, C. F.
Publikováno v:
Il Foro Italiano, 1891 Jan 01. 16, 1325/1326-1329/1330.
Externí odkaz:
https://www.jstor.org/stable/23097272
Publikováno v:
Il Foro Italiano, 1891 Jan 01. 16, 617/618-619/620.
Externí odkaz:
https://www.jstor.org/stable/23097063
Publikováno v:
Il Foro Italiano, 1892 Jan 01. 17, 203/204-205/206.
Externí odkaz:
https://www.jstor.org/stable/23100553
Publikováno v:
Il Foro Italiano, 1893 Jan 01. 18, 959/960-961/962.
Externí odkaz:
https://www.jstor.org/stable/23097816
In this short review we describe the potentialities, the difficulties, and the most common methods of combining EEG/MEG and fMRI data into a single neuroimaging technique with high spatial and temporal resolution. Two examples of application to brain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::105dd3f36f02d9a86beb23b7a35f8674
https://ora.ox.ac.uk/objects/uuid:b4ce3db4-7b33-4039-aecc-aee8cb5f4fe8
https://ora.ox.ac.uk/objects/uuid:b4ce3db4-7b33-4039-aecc-aee8cb5f4fe8
Fusion of EEG and fMRI for the investigation of functional connectivity during a visual oddball task
The combined use of EEG and fMRI allows the fusion of electrophysiological and hemodynamic information for the study of the human brain function. In order to investigate functional connectivity during a visual oddball task, we performed simultaneous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3991fc1a26f35c57d00c791e50a24995
https://ora.ox.ac.uk/objects/uuid:de95d481-2bb1-47cc-a701-e343eed74f34
https://ora.ox.ac.uk/objects/uuid:de95d481-2bb1-47cc-a701-e343eed74f34
Publikováno v:
Brain Topography. 23:150-158
Two major non-invasive brain mapping techniques, electroencephalography (EEG) and functional magnetic resonance imaging (fMRI), have complementary advantages with regard to their spatial and temporal resolution. We propose an approach based on the in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e28e811bb64d88d2f4e237b179f04de
https://doi.org/10.1007/s10548-009-0132-3
https://doi.org/10.1007/s10548-009-0132-3
Akademický článek
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Publikováno v:
NeuroImage. 42:99-111
In this work an Empirical Markov Chain Monte Carlo Bayesian approach to analyse fMRI data is proposed. The Bayesian framework is appealing since complex models can be adopted in the analysis both for the image and noise model. Here, the noise autocor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a391da5816da09ff1154db2beb492fdb
https://doi.org/10.1016/j.neuroimage.2008.04.235
https://doi.org/10.1016/j.neuroimage.2008.04.235