Pubblicazioni

Wavelet analysis as a tool for investigating movement-related cortical oscillations in EEG-fMRI coregistration.  (2010)

Autori:
Storti, Silvia Francesca; Formaggio, Emanuela; Beltramello, Alberto; Fiaschi, Antonio; Manganotti, P.
Titolo:
Wavelet analysis as a tool for investigating movement-related cortical oscillations in EEG-fMRI coregistration.
Anno:
2010
Tipologia prodotto:
Articolo in Rivista
Tipologia ANVUR:
Articolo su rivista
Lingua:
Inglese
Formato:
A Stampa
Referee:
Nome rivista:
BRAIN TOPOGRAPHY
ISSN Rivista:
0896-0267
N° Volume:
23
Numero o Fascicolo:
1
Intervallo pagine:
46-57
Parole chiave:
EEG; BOLD; Wavelet analysis; Wavelet energy; Maps
Breve descrizione dei contenuti:
Electroencephalography combined with functional magnetic resonance imaging (EEG-fMRI) identifies blood oxygenation level dependent (BOLD) signal changes associated with physiological and pathological EEG events. In this study we used EEG-fMRI to determine the possible correlation between topographical movement-related EEG changes in brain oscillatory activity recorded from EEG electrodes over the scalp and fMRI cortical responses in motor areas during finger movement. Thirty-two channels of EEG were recorded in 12 subjects during eyes-closed condition inside a three T magnetic resonance (MR) scanner using an MR-compatible EEG recording system. Off-line MRI artifact subtraction software was applied to obtain continuous EEG data during fMRI acquisition. For EEG data analysis we used a time-frequency approach to measure time by varying the energy in a signal at a given frequency band by the convolution of the EEG signal with a wavelet family in the alpha and beta bands. The correlation between the BOLD signal associated with the EEG regressor provides that sensory motor region is a source of the EEG. We conclude that combined EEG-fMRI can be used to investigate movement-related oscillations of the human brain inside an MRI scanner and wavelet analysis adds further details on the EEG changes. The movement-related changes in the EEG signals are useful to identify the brain activation sources responsible for BOLD-signal changes.
Pagina Web:
http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=AuthorFinder&qid=10&SID=N2g6PkuzYqZccSAVgtT&page=5&doc=41
https://www.scopus.com/record/display.uri?eid=2-s2.0-76649123106&origin=resultslist&sort=plf-f&src=s&sid=53345866398FF6D30562E5F9BB065256.wsnAw8kcdt7IPYLO0V48gA%3a2000&sot=autdocs&sdt=autdocs&sl=18&s=AU-ID%2824339432600%29&relpos=39&citeCnt=18&searchTerm=
Id prodotto:
54281
Handle IRIS:
11562/338201
depositato il:
22 febbraio 2010
ultima modifica:
26 novembre 2022
Citazione bibliografica:
Storti, Silvia Francesca; Formaggio, Emanuela; Beltramello, Alberto; Fiaschi, Antonio; Manganotti, P., Wavelet analysis as a tool for investigating movement-related cortical oscillations in EEG-fMRI coregistration. «BRAIN TOPOGRAPHY» , vol. 23 , n. 12010pp. 46-57

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