Výsledky vyhledávání - "Adriana Aragri"

Effect of Carbonation on Brain Processing of Sweet Stimuli in Humans

Autor: Giovanni Sarnelli, Maurizio Iengo, Francesco Di Salle, Maria Savarese, Elena Cantone, Anna Prinster, Adriana Aragri, Maxime E. Buyckx, Emanuele Nicolai, Rosario Cuomo

Publikováno v: Gastroenterology, 145(3), 537-539.e3. Elsevier Saunders

Little is known about how CO2 affects neural processing of taste. We used functional magnetic resonance imaging to investigate the effects of carbonation on brain processing of sweet stimuli, which has relevance to studies of food selection and satie

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aed15d08d18775b363039fe01ca6bd7a
http://hdl.handle.net/11588/560017

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The role of a pre-load beverage on gastric volume and food intake: comparison between non-caloric carbonated andnon-carbonated beverage

Autor: Viviana Verlezza, Maria Savarese, Emanuele Nicolai, F.P. Zito, Giovanni Sarnelli, Rosario Cuomo, E. Efficie, L. Vozzella, Adriana Aragri, Maxime E. Buyckx, Carla Cirillo

Publikováno v: Nutrition Journal
Nutrition Journal, Vol 10, Iss 1, p 114 (2011)

Background There is conflicting data on the effects of carbon dioxide contained in beverages on stomach functions. We aimed to verify the effect of a pre-meal administration of a 300 ml non-caloric carbonated beverage (B+CO2) compared to water or a b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7897e7b10edbea26a148c7cfe007c40
http://hdl.handle.net/11588/403978

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Distributed analysis of simultaneous EEG-fMRI time-series: modeling and interpretation issues

Autor: Tommaso Piccoli, Gioacchino Tedeschi, Adriana Aragri, Rainer Goebel, Francesco Di Salle, Fabrizio Esposito

Publikováno v: Magnetic Resonance Imaging, 27(8), 1120-1130. Elsevier Inc.

Functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) represent brain activity in terms of a reliable anatomical localization and a detailed temporal evolution of neural signals. Simultaneous EEG-fMRI recordings offer the poss

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b4fe3b98cc0d7f7bb765233f081cbdb
http://hdl.handle.net/10447/35661

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Independent component model of the default-mode brain function: combining individual-level and population-level analyses in resting-state fMRI

Autor: Elio Marciano, Gioacchino Tedeschi, Sossio Cirillo, Fabrizio Esposito, Adriana Aragri, Rainer Goebel, Francesco Di Salle, Ilaria Pesaresi

Publikováno v: Magnetic Resonance Imaging, 26(7), 905-913. Elsevier Inc.

Resting-state functional magnetic resonance imaging (RS-fMRI) is a technique used to investigate the spontaneous correlations of blood-oxygen-level-dependent signals across different regions of the brain. Using functional connectivity tools, it is po

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::921c1aa8de68736d6b282d6fc1fd65b6
https://cris.maastrichtuniversity.nl/en/publications/dc0b6b61-6402-4266-a8a3-0bd98527fe60

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Spatio-temporal pattern of vestibular information processing after brief caloric stimulation

Autor: Michela Tosetti, Adriana Aragri, Vincenzo Marcelli, Teresa Furia, Elio Marciano, Pasquale Riccardi, Laura Biagi, Francesco Di Salle, Fabrizio Esposito

Publikováno v: European Journal of Radiology, 70(2), 312-316. Elsevier Ireland Ltd

Processing of vestibular information at the cortical and subcortical level is essential for head and body orientation in space and self-motion perception, but little is known about the neural dynamics of the brain regions of the vestibular system inv

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::830cf9c003b7bec5dccca88f769282d4
https://pubmed.ncbi.nlm.nih.gov/18342473

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Non-Inferential Multi-Subject Study of Functional Connectivity during Visual Stimulation

Autor: Fabrizio Esposito, Adriana Aragri, Mario Cirillo, Luigi Cirillo, Sossio Cirillo, F. Di Salle, Ferdinando Caranci

Publikováno v: Scopus-Elsevier

Independent component analysis (ICA) is a powerful technique for the multivariate, non-inferential, data-driven analysis of functional magnetic resonance imaging (fMRI) data-sets. The non-inferential nature of ICA makes this a suitable technique for

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bf88b2291f1f2fc064a6294409f58a2
https://pubmed.ncbi.nlm.nih.gov/24351296

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High-Field Strength Functional MRI

Autor: F. Di Salle, Raffaele Elefante, O. Santopaolo, Adriana Aragri, Tommaso Scarabino, Mario Cirillo, Sossio Cirillo, Fabrizio Esposito, Andrea Elefante

Publikováno v: High Field Brain MRI ISBN: 9783540317753

The use of high magnetic field strength fMRI units has the potential for improving considerably the sensitivity and specificity of functional studies. As a result of the high-field studies, fundamental neural dynamics taking place at a very small dim

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::391589e8cf64d85d6082f7f7d5d45928
http://hdl.handle.net/11386/3920970

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