Classifying minimally disabled multiple sclerosis patients from resting state functional connectivity

Objective: We investigated whether the efficacy of 12-week cognitive rehabilitation in MS patients persists six months after treatment termination and, together with resting state (RS) functional connectivity (FC), changes on neuropsychological performance at follow-up. Methods: Eighteen MS patients with cognitive deficits, assigned randomly either to undergo treatment ( n=9) or not ( n=9), underwent neuropsychological evaluation at baseline (t0), after 12 weeks of rehabilitation (t1) and at six-month follow-up (t2). RS fMRI was obtained at t0 and t1. Changes in neuropsychological performance and their correlations with RS FC modifications were assessed using longitudinal linear models. Results: At t2 vs. t0, compared with the control group, treated group patients improved in tests of attention, executive function, depression and quality of life (QoL). Neuropsychological scores in these tests at t2 were significantly correlated with RS FC changes in cognitive-related networks and RS FC of the anterior cingulum. RS FC changes in the default mode network predicted cognitive performance and less severe depression, whereas RS FC changes of the executive network predicted better QoL. Discussion: Changes in RS FC of cognitive-related networks helps to explain the persistence of the effects of cognitive rehabilitation after several months in relapsing–remitting multiple sclerosis patients and their improvement on depression and QoL scales.

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Resting-state functional connectivity networks associated with fatigue in multiple sclerosis with early age onset

Multiple Sclerosis and Related Disorders ◽

10.1016/j.msard.2019.03.020 ◽

2019 ◽

Vol 31 ◽

pp. 101-105 ◽

Cited By ~ 3

Author(s):

Patricia Stefancin ◽

Sindhuja T Govindarajan ◽

Lauren Krupp ◽

Leigh Charvet ◽

Timothy Q Duong

Keyword(s):

Multiple Sclerosis ◽

Functional Connectivity ◽

Resting State ◽

Early Age ◽

Resting State Functional Connectivity

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Sex Differences in Resting-State Functional Connectivity in Multiple Sclerosis

American Journal of Neuroradiology ◽

10.3174/ajnr.a3630 ◽

2013 ◽

Vol 34 (12) ◽

pp. 2304-2311 ◽

Cited By ~ 13

Author(s):

K.A. Koenig ◽

M.J. Lowe ◽

J. Lin ◽

K.E. Sakaie ◽

L. Stone ◽

...

Keyword(s):

Multiple Sclerosis ◽

Sex Differences ◽

Functional Connectivity ◽

Resting State ◽

Resting State Functional Connectivity

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Resting-state functional connectivity in multiple sclerosis: An examination of group differences and individual differences

Neuropsychologia ◽

10.1016/j.neuropsychologia.2013.08.010 ◽

2013 ◽

Vol 51 (13) ◽

pp. 2918-2929 ◽

Cited By ~ 25

Author(s):

Alisha L. Janssen ◽

Aaron Boster ◽

Beth A. Patterson ◽

Amir Abduljalil ◽

Ruchika Shaurya Prakash

Keyword(s):

Multiple Sclerosis ◽

Individual Differences ◽

Functional Connectivity ◽

Resting State ◽

Group Differences ◽

Resting State Functional Connectivity

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Anterior Insular Resting‐State Functional Connectivity is Related to Cognitive Reserve in Multiple Sclerosis

Journal of Neuroimaging ◽

10.1111/jon.12779 ◽

2020 ◽

Cited By ~ 1

Author(s):

Bernardo Canedo Bizzo ◽

Tiago Arruda‐Sanchez ◽

Sean M Tobyne ◽

John Daniel Bireley ◽

Michael Howard Lev ◽

...

Keyword(s):

Multiple Sclerosis ◽

Functional Connectivity ◽

Resting State ◽

Cognitive Reserve ◽

Resting State Functional Connectivity

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Fatigue in multiple sclerosis: The contribution of resting-state functional connectivity reorganization

Multiple Sclerosis Journal ◽

10.1177/1352458517730932 ◽

2017 ◽

Vol 24 (13) ◽

pp. 1696-1705 ◽

Cited By ~ 23

Author(s):

Alvino Bisecco ◽

Federica Di Nardo ◽

Renato Docimo ◽

Giuseppina Caiazzo ◽

Alessandro d’Ambrosio ◽

...

Keyword(s):

Multiple Sclerosis ◽

Regression Analysis ◽

Functional Connectivity ◽

Motor Cortex ◽

Resting State ◽

Primary Motor Cortex ◽

Linear Regression Analysis ◽

Posterior Cingulate Cortex ◽

Resting State Functional Connectivity ◽

Sensorimotor Network

Objectives: To investigate resting-state functional connectivity (RS-FC) of the default-mode network (DMN) and of sensorimotor network (SMN) network in relapsing remitting (RR) multiple sclerosis (MS) patients with fatigue (F) and without fatigue(NF). Methods: In all, 59 RRMS patients and 29 healthy controls (HC) underwent magnetic resonance imaging (MRI) protocol including resting-state fMRI (RS-fMRI). Functional connectivity of the DMN and SMN was evaluated by independent component analysis (ICA). A linear regression analysis was performed to explore whether fatigue was mainly driven by changes observed in the DMN or in the SMN. Regional gray matter atrophy was assessed by voxel-based morphometry (VBM). Results: Compared to HC, F-MS patients showed a stronger RS-FC in the posterior cingulate cortex (PCC) and a reduced RS-FC in the anterior cingulated cortex (ACC) of the DMN. F-MS patients, compared to NF-MS patients, revealed (1) an increased RS-FC in the PCC and a reduced RS-FC in the ACC of the DMN and (2) an increased RS-FC in the primary motor cortex and in the supplementary motor cortex of the SMN. The regression analysis suggested that fatigue is mainly driven by RS-FC changes of the DMN. Conclusions: Fatigue in RRMS is mainly associated to a functional rearrangement of non-motor RS networks.

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Electrophysiological correlates of cognitive symptoms in multiple sclerosis through neuromagnetic resting-state functional connectivity

Frontiers in Neuroscience ◽

10.3389/conf.fnins.2019.96.00062 ◽

2019 ◽

Vol 13 ◽

Author(s):

Martin Sjøgård ◽

Vincent Wens ◽

Jeroen Van Schependom ◽

Lars Costers ◽

Serge Goldman ◽

...

Keyword(s):

Multiple Sclerosis ◽

Functional Connectivity ◽

Resting State ◽

Cognitive Symptoms ◽

Resting State Functional Connectivity

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Migraine in Multiple Sclerosis Patients Affects Functional Connectivity of the Brain Circuitry Involved in Pain Processing

Frontiers in Neurology ◽

10.3389/fneur.2021.690300 ◽

2021 ◽

Vol 12 ◽

Author(s):

Emanuele Pravatà ◽

Gianna C. Riccitelli ◽

Carlo Sestieri ◽

Rosaria Sacco ◽

Alessandro Cianfoni ◽

...

Keyword(s):

Multiple Sclerosis ◽

Functional Connectivity ◽

Pain Perception ◽

Brain Regions ◽

Daily Activities ◽

Control Group ◽

Resting State Functional Connectivity ◽

Brain Circuitry ◽

Multiple Sclerosis Patients ◽

The Brain

Migraine is particularly common in patients with multiple sclerosis (MS) and has been linked to the dysfunction of the brain circuitry modulating the peripheral nociceptive stimuli. Using MRI, we explored whether changes in the resting state-functional connectivity (RS-FC) may characterize the occurrence of migraine in patients with MS. The RS-FC characteristics in concerned brain regions were explored in 20 MS patients with migraine (MS+M) during the interictal phase, and compared with 19 MS patients without migraine (MS-M), which served as a control group. Functional differences were correlated to the frequency and severity of previous migraine attacks, and with the resulting impact on daily activities. In MS+M, the loss of periaqueductal gray matter (PAG) positive connectivity with the default mode network and the left posterior cranial pons was associated with an increase of migraine attacks frequency. In contrast, the loss of PAG negative connectivity with sensorimotor and visual network was linked to migraine symptom severity and related daily activities impact. Finally, a PAG negative connection was established with the prefrontal executive control network. Migraine in MS+M patients and its impact on daily activities, underlies RS-FC rearrangements between brain regions involved in pain perception and modulation.

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