Relation between functional connectivity and disability in multiple sclerosis: a non-linear model

Silvia Tommasin, Laura De Giglio, Serena Ruggieri, Nikolaos Petsas, Costanza Giannì, Carlo Pozzilli, Patrizia Pantano

Research output: Contribution to journalArticle

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Abstract

Objective: To characterize the relation between brain functional connectivity and disability in patients with multiple sclerosis; to investigate the existence of critical values of both disability and functional connectivity corresponding to exhaustion of functional adaptive mechanisms. Methods: Hundred-and-nineteen patients with no-to-severe disability and 42 healthy subjects were studied via 3T resting state functional MRI. Out of 116 regions extracted from Automated Anatomical Labeling atlas, pairs of regions whose functional connectivity correlated with Expanded Disability Status Score were identified. In patients, mathematical modeling was applied to find the best models describing Expanded-Disability-Status-Score vs structural or functional measures. Functional vs structural models intersecting points were identified. Results: Disability had direct linear relation with lesion load (r = 0.40, p < 5E−6), inverse of thalamic volume (r = 0.31 p < 1E−3) and functional connectivity in bi-frontal pairs of regions (r > 0.40, p < 0.04), while being non-linearly associated with functional connectivity in cerebello-temporal and cerebello-frontal pairs of regions (F > 1.73, p < 0.02). Structural vs functional models intersecting points corresponded to Expanded Disability Status Score of 3.0. 85% of patients scoring more than 3.0 showed functional connectivity in cerebello-temporal and cerebello-frontal pairs of regions below confidence intervals (z = [2.28–2.88] 95% CI) measured in healthy subjects. Conclusions: Functional brain connectivity changes may represent mechanisms of adaptation to structural damage and inflammation and may be not always clinically beneficial. Functional connectivity decreases in comparison with structural measure at Expanded Disability Status Score greater than 3.0, which may be critical and indicate exhaustion of compensatory mechanisms.

Original languageEnglish
Pages (from-to)2881-2892
Number of pages12
JournalJournal of Neurology
Volume265
Issue number12
DOIs
Publication statusPublished - Dec 1 2018

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Nonlinear Dynamics
Multiple Sclerosis
Healthy Volunteers
Atlases
Structural Models
Brain
Magnetic Resonance Imaging
Confidence Intervals
Inflammation

Keywords

  • Disability
  • fMRI
  • Functional connectivity
  • Multiple sclerosis
  • Plasticity

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology

Cite this

Relation between functional connectivity and disability in multiple sclerosis : a non-linear model. / Tommasin, Silvia; De Giglio, Laura; Ruggieri, Serena; Petsas, Nikolaos; Giannì, Costanza; Pozzilli, Carlo; Pantano, Patrizia.

In: Journal of Neurology, Vol. 265, No. 12, 01.12.2018, p. 2881-2892.

Research output: Contribution to journalArticle

Tommasin, Silvia ; De Giglio, Laura ; Ruggieri, Serena ; Petsas, Nikolaos ; Giannì, Costanza ; Pozzilli, Carlo ; Pantano, Patrizia. / Relation between functional connectivity and disability in multiple sclerosis : a non-linear model. In: Journal of Neurology. 2018 ; Vol. 265, No. 12. pp. 2881-2892.
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