ChardDAlahmadiAAudoinB, et al. Mind the gap: From neurons to networks to outcomes in multiple sclerosis. Nature Rev Neur . Epub ahead of print 12 January 2021. DOI: 10.1038/s41582-020-00439-8.
2.
TewariePSteenwijkMDBrookesMJ, et al. Explaining the heterogeneity of functional connectivity findings in multiple sclerosis: An empirically informed modeling study. Hum Brain Mapp2018; 39(6): 2541–2548.
3.
KoubiyrIBessonPDeloireM, et al. Dynamic modular-level alterations of structural-functional coupling in clinically isolated syndrome. Brain2019; 142: 3428–3439.
4.
BraunUSchäferAWalterH, et al. Dynamic reconfiguration of frontal brain networks during executive cognition in humans. Proc Natl Acad Sci2015; 112: 11678–11683.
5.
EijlersAJWinkAMMeijerKA, et al. Reduced network dynamics on functional MRI signals cognitive impairment in multiple sclerosis. Radiology2019; 292(2): 449–457.
6.
DaiZLinQLiT, et al. Disrupted structural and functional brain networks in Alzheimer’s disease. Neurobiol Aging2019; 75: 71–82.
7.
KoubiyrIDDeloireMBrochetB, et al. Structural constraints of functional connectivity drive cognitive impairment in the early stages of multiple sclerosis. Mult Scler2021; 27(4): 559–567.
8.
MuldoonSFBassettDS.Network and multilayer network approaches to understanding human brain dynamics. Philos Sci2016; 83: 710–720.
9.
RoccaMAHidalgo de La CruzMValsasinaP, et al. Two-year dynamic functional network connectivity in clinically isolated syndrome. Mult Scler2020; 26(6): 645–658.
10.
Hidalgo de la CruzMValsasinaPMesarosS, et al. Clinical predictivity of thalamic sub-regional connectivity in clinically isolated syndrome: A 7-year study. Mol Psychiat. Epub ahead of print 22 April 2020. DOI: 10.1038/s41380-020-0726-4.
