Structural and functional imaging features of cognitive phenotypes in pediatric multiple sclerosis

Autor: Damiano Mistri, Monica Margoni, Elisabetta Pagani, Paola Valsasina, Alessandro Meani, Lucia Moiola, Massimo Filippi, Maria A. Rocca

Publikováno v: Annals of Clinical and Translational Neurology, Vol 11, Iss 7, Pp 1840-1851 (2024)

Abstract Objective The present study aimed to identify the clinical and MRI features of the distinct cognitive phenotypes in pediatric multiple sclerosis (pedMS). Methods PedMS patients (n = 73) and healthy controls (n = 30) underwent clinical examin

Externí odkaz: https://doaj.org/article/fda01c0633704fa084816a7417cae2d6

Monoaminergic network abnormalities are associated with fatigue in pediatric multiple sclerosis.

Autor: Margoni M; Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.; Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.; Neurorehabilitation Unit IRCCS San Raffaele Scientific Institute, Milan, Italy., Valsasina P; Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy., Moiola L; Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy., Mistri D; Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy., Filippi M; Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.; Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.; Neurorehabilitation Unit IRCCS San Raffaele Scientific Institute, Milan, Italy.; Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy.; Vita-Salute San Raffaele University, Milan, Italy., Rocca MA; Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy. rocca.mara@hsr.it.; Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy. rocca.mara@hsr.it.; Vita-Salute San Raffaele University, Milan, Italy. rocca.mara@hsr.it.

Publikováno v: Journal of neurology [J Neurol] 2024 Dec; Vol. 271 (12), pp. 7547-7556. Date of Electronic Publication: 2024 Sep 19.

Resting state functional connectivity modifications in monoaminergic circuits underpin fatigue development in patients with multiple sclerosis.

Autor: Margoni M; Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.; Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.; Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy., Valsasina P; Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy., Bacchetti A; Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.; Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy., Mistri D; Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy., Preziosa P; Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.; Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.; Vita-Salute San Raffaele University, Milan, Italy., Rocca MA; Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.; Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.; Vita-Salute San Raffaele University, Milan, Italy., Filippi M; Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy. filippi.massimo@hsr.it.; Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy. filippi.massimo@hsr.it.; Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy. filippi.massimo@hsr.it.; Vita-Salute San Raffaele University, Milan, Italy. filippi.massimo@hsr.it.; Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy. filippi.massimo@hsr.it.

Publikováno v: Molecular psychiatry [Mol Psychiatry] 2024 Sep; Vol. 29 (9), pp. 2647-2656. Date of Electronic Publication: 2024 Mar 25.

Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks

Autor: Gros, Charley, De Leener, Benjamin, Badji, Atef, Maranzano, Josefina, Eden, Dominique, Dupont, Sara M., Talbott, Jason, Zhuoquiong, Ren, Liu, Yaou, Granberg, Tobias, Ouellette, Russell, Tachibana, Yasuhiko, Hori, Masaaki, Kamiya, Kouhei, Chougar, Lydia, Stawiarz, Leszek, Hillert, Jan, Bannier, Elise, Kerbrat, Anne, Edan, Gilles, Labauge, Pierre, Callot, Virginie, Pelletier, Jean, Audoin, Bertrand, Rasoanandrianina, Henitsoa, Brisset, Jean-Christophe, Valsasina, Paola, Rocca, Maria A., Filippi, Massimo, Bakshi, Rohit, Tauhid, Shahamat, Prados, Ferran, Yiannakas, Marios, Kearney, Hugh, Ciccarelli, Olga, Smith, Seth, Treaba, Constantina Andrada, Mainero, Caterina, Lefeuvre, Jennifer, Reich, Daniel S., Nair, Govind, Auclair, Vincent, McLaren, Donald G., Martin, Allan R., Fehlings, Michael G., Vahdat, Shahabeddin, Khatibi, Ali, Doyon, Julien, Shepherd, Timothy, Charlson, Erik, Narayanan, Sridar, Cohen-Adad, Julien

The spinal cord is frequently affected by atrophy and/or lesions in multiple sclerosis (MS) patients. Segmentation of the spinal cord and lesions from MRI data provides measures of damage, which are key criteria for the diagnosis, prognosis, and long

Externí odkaz: http://arxiv.org/abs/1805.06349

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