Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Mario Tranfa"'
Autor:
Yuchao Jiang, Cheng Luo, Jijun Wang, Lena Palaniyappan, Xiao Chang, Shitong Xiang, Jie Zhang, Mingjun Duan, Huan Huang, Christian Gaser, Kiyotaka Nemoto, Kenichiro Miura, Ryota Hashimoto, Lars T. Westlye, Genevieve Richard, Sara Fernandez-Cabello, Nadine Parker, Ole A. Andreassen, Tilo Kircher, Igor Nenadić, Frederike Stein, Florian Thomas-Odenthal, Lea Teutenberg, Paula Usemann, Udo Dannlowski, Tim Hahn, Dominik Grotegerd, Susanne Meinert, Rebekka Lencer, Yingying Tang, Tianhong Zhang, Chunbo Li, Weihua Yue, Yuyanan Zhang, Xin Yu, Enpeng Zhou, Ching-Po Lin, Shih-Jen Tsai, Amanda L. Rodrigue, David Glahn, Godfrey Pearlson, John Blangero, Andriana Karuk, Edith Pomarol-Clotet, Raymond Salvador, Paola Fuentes-Claramonte, María Ángeles Garcia-León, Gianfranco Spalletta, Fabrizio Piras, Daniela Vecchio, Nerisa Banaj, Jingliang Cheng, Zhening Liu, Jie Yang, Ali Saffet Gonul, Ozgul Uslu, Birce Begum Burhanoglu, Aslihan Uyar Demir, Kelly Rootes-Murdy, Vince D. Calhoun, Kang Sim, Melissa Green, Yann Quidé, Young Chul Chung, Woo-Sung Kim, Scott R. Sponheim, Caroline Demro, Ian S. Ramsay, Felice Iasevoli, Andrea de Bartolomeis, Annarita Barone, Mariateresa Ciccarelli, Arturo Brunetti, Sirio Cocozza, Giuseppe Pontillo, Mario Tranfa, Min Tae M. Park, Matthias Kirschner, Foivos Georgiadis, Stefan Kaiser, Tamsyn E. Van Rheenen, Susan L. Rossell, Matthew Hughes, William Woods, Sean P. Carruthers, Philip Sumner, Elysha Ringin, Filip Spaniel, Antonin Skoch, David Tomecek, Philipp Homan, Stephanie Homan, Wolfgang Omlor, Giacomo Cecere, Dana D. Nguyen, Adrian Preda, Sophia I. Thomopoulos, Neda Jahanshad, Long-Biao Cui, Dezhong Yao, Paul M. Thompson, Jessica A. Turner, Theo G. M. van Erp, Wei Cheng, ENIGMA Schizophrenia Consortium, Jianfeng Feng, ZIB Consortium
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Machine learning can be used to define subtypes of psychiatric conditions based on shared biological foundations of mental disorders. Here we analyzed cross-sectional brain images from 4,222 individuals with schizophrenia and 7038 healthy su
Externí odkaz:
https://doaj.org/article/76bdd81832814fb8a0f1d01e09c35de4
Autor:
Sirio Cocozza, Sara Bosticardo, Matteo Battocchio, Louise Corben, Martin Delatycki, Gary Egan, Nellie Georgiou‐Karistianis, Serena Monti, Giuseppe Palma, Chiara Pane, Francesco Saccà, Simona Schiavi, Louisa Selvadurai, Mario Tranfa, Alessandro Daducci, Arturo Brunetti, Ian H. Harding
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 11, Iss 7, Pp 1691-1702 (2024)
Abstract Objective The dentato‐thalamo‐cortical tract (DTT) is the main cerebellar efferent pathway. Degeneration of the DTT is a core feature of Friedreich ataxia (FRDA). However, it remains unclear whether DTT disruption is spatially specific,
Externí odkaz:
https://doaj.org/article/d4eb1b573f2a4570a1fdf5b47c296bef
Autor:
Mario Tranfa, Luigi Lorenzini, Lyduine E. Collij, David Vállez García, Silvia Ingala, Giuseppe Pontillo, Leonard Pieperhoff, Alessio Maranzano, Robin Wolz, Sven Haller, Kaj Blennow, Giovanni Frisoni, Carole H. Sudre, Gael Chételat, Michael Ewers, Pierre Payoux, Adam Waldman, Pablo Martinez‐Lage, Adam J. Schwarz, Craig W. Ritchie, Joanna M. Wardlaw, Juan Domingo Gispert, Arturo Brunetti, Henk J. M. M. Mutsaerts, Alle Meije Wink, Frederik Barkhof
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 11, Iss 6, Pp 1541-1556 (2024)
Abstract Objective Alzheimer's disease (AD) and cerebral small vessel disease (cSVD), the two most common causes of dementia, are characterized by white matter (WM) alterations diverging from the physiological changes occurring in healthy aging. Diff
Externí odkaz:
https://doaj.org/article/e26e34b52bc34c948ba296d241f25394
Autor:
Alessandra Scaravilli, Mario Tranfa, Giuseppe Pontillo, Antonio Carotenuto, Caterina Lapucci, Riccardo Nistri, Elisabetta Signoriello, Marcello Moccia, Carla Tortorella, Ruggero Capra, Giacomo Lus, Matilde Inglese, Claudio Gasperini, Roberta Lanzillo, Carlo Pozzilli, Vincenzo Brescia Morra, Arturo Brunetti, Maria Petracca, Sirio Cocozza
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5626 (2024)
(1) Background: Although MRI is a well-established tool in Multiple Sclerosis (MS) diagnosis and management, neuroradiological reports often lack standardization and/or quantitative information, with possible consequences in clinical care. The aim of
Externí odkaz:
https://doaj.org/article/04eea912255e422da5b0030bf00d8eb5
Autor:
Mario Tortora, Mario Tranfa, Anna Chiara D’Elia, Giuseppe Pontillo, Maria Petracca, Alessandro Bozzao, Ferdinando Caranci, Amedeo Cervo, Mirco Cosottini, Andrea Falini, Marcello Longo, Renzo Manara, Mario Muto, Michele Porcu, Luca Roccatagliata, Alessandra Todeschini, Luca Saba, Arturo Brunetti, Sirio Cocozza, Andrea Elefante
Publikováno v:
Diagnostics, Vol 11, Iss 8, p 1310 (2021)
(1) Although guidelines about the use of MRI sequences for Multiple Sclerosis (MS) diagnosis and follow-up are available, variability in acquisition protocols is not uncommon in everyday clinical practice. The aim of this study was to evaluate the re
Externí odkaz:
https://doaj.org/article/69409a0700e94ee998db4d6db201b6a5
Autor:
Mario Tranfa, Felice Iasevoli, Sirio Cocozza, Mariateresa Ciccarelli, Annarita Barone, Arturo Brunetti, Andrea de Bartolomeis, Giuseppe Pontillo
Publikováno v:
Human Brain Mapping. 44:2829-2840
While verbal memory is among the most compromised cognitive domains in schizophrenia (SZ), its neural substrates remain elusive. Here, we explored the structural and functional brain network correlates of verbal memory impairment in SZ. We acquired d
Autor:
Alessandra Scaravilli, Mario Tranfa, Giuseppe Pontillo, Bernard Brais, Giovanna De Michele, Roberta La Piana, Francesco Saccà, Filippo Maria Santorelli, Matthis Synofzik, Arturo Brunetti, Sirio Cocozza
Publikováno v:
The Cerebellum.
Autor:
Alfredo Montella, Mario Tranfa, Alessandra Scaravilli, Frederik Barkhof, Arturo Brunetti, James Cole, Michela Gravina, Stefano Marrone, Daniele Riccio, Eleonora Riccio, Carlo Sansone, Letizia Spinelli, Maria Petracca, Antonio Pisani, Sirio Cocozza, Giuseppe Pontillo
BackgroundWhile neurological manifestations are core features of Fabry disease (FD), quantitative neuroimaging biomarkers allowing to measure brain involvement are lacking. We used deep learning and the brain-age paradigm to assess whether FD patient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83c856461b281bd90adfe901d2e2bf00
https://doi.org/10.1101/2023.04.04.23288000
https://doi.org/10.1101/2023.04.04.23288000
Autor:
Giovanna De Michele, Luigi Maione, Sirio Cocozza, Mario Tranfa, Chiara Pane, Daniele Galatolo, Anna De Rosa, Giuseppe De Michele, Francesco Saccà, Alessandro Filla
Publikováno v:
The Cerebellum.
Autor:
Mario Tranfa, Mario Tortora, Giuseppe Pontillo, Valentina Iuzzolino, Eleonora Riccio, Simona Caccavallo, Teodolinda Di Risi, Serena Monti, Roberta Lanzillo, Vincenzo Brescia Morra, Giuseppe Palma, Maria Petracca, Antonio Pisani, Arturo Brunetti, Sirio Cocozza
Publikováno v:
European Radiology. 32:3846-3854
Although the use of specific MRI criteria has significantly increased the diagnostic accuracy of multiple sclerosis (MS), reaching a correct neuroradiological diagnosis remains a challenging task, and therefore the search for new imaging biomarkers i