Resting-state functional connectivity of anterior and posterior cerebellar lobes is altered in multiple sclerosis

Background: Damage to the cerebellar sensorimotor and cognitive domains may underlie physical and cognitive disability. Objective: To investigate resting-state functional connectivity (FC) of sensorimotor and cognitive cerebellum, and clinical correlates in multiple sclerosis (MS). Methods: A total of 119 patients with MS and 42 healthy subjects underwent multimodal 3T-magnetic resonance imaging (MRI). Patients were evaluated using the Expanded Disability Status Scale and Multiple Sclerosis Functional Composite Scale. After parcellation of sensorimotor (lobules I–V + VIII) and cognitive cerebellum (lobules VI, VII, IX, X), we calculated cerebellar resting-state FC using a seed-based approach. Results: In patients with MS, the sensorimotor cerebellum showed increased FC mainly with cerebellar, thalamic, and cortical (frontal, parietal, temporal) areas and decreased FC with insular areas; the cognitive cerebellum showed increased FC mainly with thalamic and cortical (temporal-occipital) areas, and decreased FC with frontal-insular areas. Both sensorimotor and cognitive cerebellar FC negatively correlated with disability, and positively with cognitive scores. Cerebellar structural damage only partially influenced results. Conclusion: The two neocerebellar circuits showed altered FC with subcortical and cortical areas. The association between increased sensorimotor and cognitive cerebellar FC and low levels of physical and cognitive disability suggests that altered FC might modulate the effects of cerebellar structural damage on clinical condition.

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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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Lesion to Hippocampus Changes Resting State Functional Connectivity in Rat Brain Reflecting Structural Damage

Frontiers in Human Neuroscience ◽

10.3389/conf.fnhum.2014.214.00050 ◽

2014 ◽

Vol 8 ◽

Author(s):

Siugzdaite Roma ◽

Descamps Benedicte ◽

Van Den Berge Nathalie ◽

Wu Guorong ◽

Van Mierlo Pieter ◽

...

Keyword(s):

Functional Connectivity ◽

Rat Brain ◽

Resting State ◽

Structural Damage ◽

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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Increased functional sensorimotor network efficiency relates to disability in multiple sclerosis

Multiple Sclerosis Journal ◽

10.1177/1352458520966292 ◽

2020 ◽

pp. 135245852096629

Author(s):

Myrte Strik ◽

Declan T Chard ◽

Iris Dekker ◽

Kim A Meijer ◽

Anand JC Eijlers ◽

...

Keyword(s):

Multiple Sclerosis ◽

Logistic Regression ◽

Functional Connectivity ◽

Structural Damage ◽

Premotor Cortex ◽

Functional Network ◽

Grey Matter Volume ◽

Network Efficiency ◽

Brain Volumes ◽

Disability Status

Background: Network abnormalities could help explain physical disability in multiple sclerosis (MS), which remains poorly understood. Objective: This study investigates functional network efficiency changes in the sensorimotor system. Methods: We included 222 MS patients, divided into low disability (LD, Expanded Disability Status Scale (EDSS) ⩽3.5, n = 185) and high disability (HD, EDSS ⩾6, n = 37), and 82 healthy controls (HC). Functional connectivity was assessed between 23 sensorimotor regions. Measures of efficiency were computed and compared between groups using general linear models corrected for age and sex. Binary logistic regression models related disability status to local functional network efficiency (LE), brain volumes and demographics. Functional connectivity patterns of regions important for disability were explored. Results: HD patients demonstrated significantly higher LE of the left primary somatosensory cortex (S1) and right pallidum compared to LD and HC, and left premotor cortex compared to HC only. The logistic regression model for disability ( R2 = 0.38) included age, deep grey matter volume and left S1 LE. S1 functional connectivity was increased with prefrontal and secondary sensory areas in HD patients, compared to LD and HC. Conclusion: Clinical disability in MS associates with functional sensorimotor increases in efficiency and connectivity, centred around S1, independent of structural damage.

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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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