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Flexibility of brain dynamics is increased and predicts clinical impairment in relapsing-remitting but not in secondary progressive multiple sclerosis.
Cipriano, Lorenzo; Minino, Roberta; Liparoti, Marianna; Polverino, Arianna; Romano, Antonella; Bonavita, Simona; Pirozzi, Maria Agnese; Quarantelli, Mario; Jirsa, Viktor; Sorrentino, Giuseppe; Sorrentino, Pierpaolo; Troisi Lopez, Emahnuel.
Affiliation
  • Cipriano L; Department of Medical, Motor and Wellness Sciences, University of Naples 'Parthenope', 80133 Naples, Italy.
  • Minino R; Department of Medical, Motor and Wellness Sciences, University of Naples 'Parthenope', 80133 Naples, Italy.
  • Liparoti M; Department of Philosophical, Pedagogical and Quantitative-Economic Sciences, University of Chieti-Pescara 'G. d'Annunzio', 66100 Chieti, Italy.
  • Polverino A; Institute of Diagnosis and Therapy Hermitage Capodimonte, 80145 Naples, Italy.
  • Romano A; Department of Medical, Motor and Wellness Sciences, University of Naples 'Parthenope', 80133 Naples, Italy.
  • Bonavita S; Department of Advanced Medical and Surgical Sciences, University of Campania 'L. Vanvitelli', 81100 Naples, Italy.
  • Pirozzi MA; Department of Advanced Medical and Surgical Sciences, University of Campania 'L. Vanvitelli', 81100 Naples, Italy.
  • Quarantelli M; Biostructure and Bioimaging Institute, CNR, 80145 Naples, Italy.
  • Jirsa V; Institut de Neurosciences des Systèmes, Inserm, INS, Aix-Marseille University, 13005 Marseille, France.
  • Sorrentino G; Department of Medical, Motor and Wellness Sciences, University of Naples 'Parthenope', 80133 Naples, Italy.
  • Sorrentino P; Institute of Diagnosis and Therapy Hermitage Capodimonte, 80145 Naples, Italy.
  • Troisi Lopez E; Institute of Applied Sciences and Intelligent Systems, National Research Council, 80078 Pozzuoli, Italy.
Brain Commun ; 6(2): fcae112, 2024.
Article in En | MEDLINE | ID: mdl-38585670
ABSTRACT
Large-scale brain activity has long been investigated under the erroneous assumption of stationarity. Nowadays, we know that resting-state functional connectivity is characterized by aperiodic, scale-free bursts of activity (i.e. neuronal avalanches) that intermittently recruit different brain regions. These different patterns of activity represent a measure of brain flexibility, whose reduction has been found to predict clinical impairment in multiple neurodegenerative diseases such as Parkinson's disease, amyotrophic lateral sclerosis and Alzheimer's disease. Brain flexibility has been recently found increased in multiple sclerosis, but its relationship with clinical disability remains elusive. Also, potential differences in brain dynamics according to the multiple sclerosis clinical phenotypes remain unexplored so far. We performed a brain dynamics study quantifying brain flexibility utilizing the 'functional repertoire' (i.e. the number of configurations of active brain areas) through source reconstruction of magnetoencephalography signals in a cohort of 25 multiple sclerosis patients (10 relapsing-remitting multiple sclerosis and 15 secondary progressive multiple sclerosis) and 25 healthy controls. Multiple sclerosis patients showed a greater number of unique reconfigurations at fast time scales as compared with healthy controls. This difference was mainly driven by the relapsing-remitting multiple sclerosis phenotype, whereas no significant differences in brain dynamics were found between secondary progressive multiple sclerosis and healthy controls. Brain flexibility also showed a different predictive power on clinical disability according to the multiple sclerosis type. For the first time, we investigated brain dynamics in multiple sclerosis patients through high temporal resolution techniques, unveiling differences in brain flexibility according to the multiple sclerosis phenotype and its relationship with clinical disability.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Brain Commun Year: 2024 Document type: Article Affiliation country: Italy

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Brain Commun Year: 2024 Document type: Article Affiliation country: Italy