Cross-modal plasticity among sensory networks in neuromyelitis optica spectrum disorders

Maria Assunta Rocca, Filippo Savoldi, Paola Valsasina, Marta Radaelli, Paolo Preziosa, Giancarlo Comi, Andrea Falini, Massimo Filippi

Research output: Contribution to journalArticle

Abstract

Objective: To explore resting-state (RS) functional connectivity (FC) of the main sensory/motor networks of patients with neuromyelitis optica spectrum disorders (NMOSDs), clinically isolated optic neuritis (ON), and myelitis. Methods: Clinical evaluation and RS fMRI were obtained from 28 NMOSD, 11 recurrent ON, and 12 recurrent myelitis patients and 30 healthy controls. Between-group RS FC comparisons and correlations with motor performance were assessed (SPM12) on the main sensory/motor RS networks (RSNs) identified by independent component analysis. Functional network connectivity analysis estimated inter-network connectivity. Results: Intra- and inter-network RS FCs were reduced in RSNs associated to somatosensory modalities affected by pathology: regions of the primary visual network in ON patients, of the sensorimotor networks in myelitis patients, and of the sensorimotor and secondary visual networks in NMOSD patients. The opposite trend was observed in regions of RSNs spared by pathology: the auditory and part of visual networks in NMOSD, the secondary visual and sensorimotor networks in ON, and the primary visual network in myelitis patients. Better motor performance correlated with higher RS FC of spared RSNs. Conclusion: Sensory and motor RSN abnormalities occur in NMOSD. Loss of function within disease–target networks may elicit cross-modal plasticity across sensory networks potentially preserving clinical function.

Original languageEnglish
Pages (from-to)968-979
Number of pages12
JournalMultiple Sclerosis Journal
Volume25
Issue number7
DOIs
Publication statusPublished - Jun 1 2019

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Keywords

  • functional connectivity
  • functional MRI
  • networks
  • Neuromyelitis optica
  • plasticity
  • resting state

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology

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