Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Marta Bianciardi"'
Autor:
Marta Bianciardi, Martin Luessi, Victor Solo, Steven M. Stufflebeam, Padmavathi Sundaram, Matti Hämäläinen
Publikováno v:
IEEE Trans Med Imaging
Individual-level resting-state networks (RSNs) based on resting-state fMRI (rs-fMRI) are of great interest due to evidence that network dysfunction may underlie some diseases. Most current rs-fMRI analyses use linear correlation. Since correlation is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43bba0752b73661274947b8f3654b4e4
https://europepmc.org/articles/PMC7593831/
https://europepmc.org/articles/PMC7593831/
Autor:
Stephen F. Cauley, Marta Bianciardi, Kawin Setsompop, Jonathan R. Polimeni, Audrey P. Fan, Elfar Adalsteinsson, Berkin Bilgic, Lawrence L. Wald
Publikováno v:
Magnetic Resonance in Medicine. 72:1444-1459
Purpose To enable fast reconstruction of quantitative susceptibility maps with total variation penalty and automatic regularization parameter selection. Methods l1-Regularized susceptibility mapping is accelerated by variable splitting, which allows
Autor:
Patrícia Figueiredo, Marta Bianciardi, L. Miguel Silveira, A.R. Dias, Lawrence L. Wald, Sandro Nunes, Joana Pinto
Publikováno v:
NeuroImage. 153
Several strategies have been proposed to model and remove physiological noise from resting-state fMRI (rs-fMRI) data, particularly at ultrahigh fields (7 Tesla), including contributions from respiratory volume (RV) and heart rate (HR) signal fluctuat
Publikováno v:
NeuroImage. 44:448-454
The presence of spontaneous BOLD fMRI signal fluctuations in human grey matter compromises the detection and interpretation of evoked responses and limits the sensitivity gains that are potentially available through coil arrays and high field systems
Autor:
Rodolfo Abreu, Patrícia Figueiredo, Luis Miguel Silveira, A.R. Dias, Marta Bianciardi, J. Rodrigues, Sandro Nunes, Lawrence L. Wald
Publikováno v:
ISBI
Parcellation of the brain into functionally meaningful regions is a crucial step in studies of brain connectivity using complex network analysis methods based on resting-state functional MRI (rs-fMRI). With the recent development of fast acquisition
Autor:
Patrícia Figueiredo, J. Rodrigues, Marta Bianciardi, Alexandre P. Francisco, Rodolfo Abreu, Sandro Nunes, A. C. Leitão, Luis Miguel Silveira, Lawrence L. Wald
Publikováno v:
Studies in Computational Intelligence ISBN: 9783319161112
CompleNet
CompleNet
Several methods have previously been proposed for mapping and enabling the understanding of the brain’s organization. A widely used class of such methods consists in reconstructing brain functional connectivity networks from imaging data, such as f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80914fff8ba425d784e5f861bf8ed5b0
https://doi.org/10.1007/978-3-319-16112-9_13
https://doi.org/10.1007/978-3-319-16112-9_13
Autor:
Girolamo Garreffa, Manuel Abbafati, Maria Grazia Marciani, Ennio Briselli, Luigi Bianchi, Emiliano Macaluso, Marta Bianciardi, Bruno Maraviglia
Interest about simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) data acquisition has rapidly increased during the last years because of the possibility that the combined method offers to join temporal and spa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ec710e29da7f53f7e06e8765eeb1eb3
http://hdl.handle.net/11573/7569
http://hdl.handle.net/11573/7569
Autor:
Emiliano Macaluso, Girolamo Garreffa, Marco Carnì, Gisela E. Hagberg, Maria Grazia Marciani, Marta Bianciardi, Manuel Abbafati, Luigi Bianchi, Ivo Bruni, Bruno Maraviglia
Publikováno v:
Magnetic Resonance Imaging
Simultaneous EEG-fMRI is a powerful tool to study spontaneous and evoked brain activity because of the complementary advantages of the two techniques in terms of temporal and spatial resolution. In recent years, a significant number of scientific wor