scholarly journals Cognitive and Clinical Dysfunction, Altered MEG Resting-State Networks and Thalamic Atrophy in Multiple Sclerosis

PLoS ONE ◽  
2013 ◽  
Vol 8 (7) ◽  
pp. e69318 ◽  
Author(s):  
Prejaas Tewarie ◽  
Menno M. Schoonheim ◽  
Cornelis J. Stam ◽  
Marieke L. van der Meer ◽  
Bob W. van Dijk ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Resting State ◽  
Resting State Networks

scholarly journals Disability in multiple sclerosis is related to thalamic connectivity and cortical network atrophy

2021 ◽  
pp. 135245852110087
Author(s):  
Menno M Schoonheim ◽  
Daniela Pinter ◽  
Stefanos E Prouskas ◽  
Tommy AA Broeders ◽  
Lukas Pirpamer ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Resting State ◽  
Cortical Network ◽  
Resting State Networks ◽  
Multivariate Regression Model ◽  
Sensorimotor Network ◽  
Disability Status ◽  
Severity Of Disability ◽  
Major Predictor ◽  
Thalamic Function

Background: Thalamic atrophy is proposed to be a major predictor of disability progression in multiple sclerosis (MS), while thalamic function remains understudied. Objectives: To study how thalamic functional connectivity (FC) is related to disability and thalamic or cortical network atrophy in two large MS cohorts. Methods: Structural and resting-state functional magnetic resonance imaging (fMRI) was obtained in 673 subjects from Amsterdam (MS: N = 332, healthy controls (HC): N = 96) and Graz (MS: N = 180, HC: N = 65) with comparable protocols, including disability measurements in MS (Expanded Disability Status Scale, EDSS). Atrophy was measured for the thalamus and seven well-recognized resting-state networks. Static and dynamic thalamic FC with these networks was correlated with disability. Significant correlates were included in a backward multivariate regression model. Results: Disability was most strongly related (adjusted R2 = 0.57, p < 0.001) to higher age, a progressive phenotype, thalamic atrophy and increased static thalamic FC with the sensorimotor network (SMN). Static thalamus–SMN FC was significantly higher in patients with high disability (EDSS ⩾ 4) and related to network atrophy but not thalamic atrophy or lesion volumes. Conclusion: The severity of disability in MS was related to increased static thalamic FC with the SMN. Thalamic FC changes were only related to cortical network atrophy, but not to thalamic atrophy.

Assessing brain connectivity at rest is clinically relevant in early multiple sclerosis

2012 ◽  
Vol 18 (9) ◽  
pp. 1251-1258 ◽  
Author(s):  
Anthony Faivre ◽  
Audrey Rico ◽  
Wafaa Zaaraoui ◽  
Lydie Crespy ◽  
Françoise Reuter ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Independent Component Analysis ◽  
Functional Mri ◽  
Resting State ◽  
Surrogate Marker ◽  
Component Analysis ◽  
Independent Component ◽  
Resting State Networks ◽  
Frontoparietal Network ◽  
Multiple Sclerosis Patients

Objective: The present study aims to determine the clinical counterpart of brain resting-state networks reorganization recently evidenced in early multiple sclerosis. Methods: Thirteen patients with early relapsing–remitting multiple sclerosis and 14 matched healthy controls were included in a resting state functional MRI study performed at 3 T. Data were analyzed using group spatial Independent Component Analysis using concatenation approach (FSL 4.1.3) and double regression analyses (SPM5) to extract local and global levels of connectivity inside various resting state networks (RSNs). Differences in global levels of connectivity of each network between patients and controls were assessed using Mann–Whitney U-test. In patients, relationship between clinical data (Expanded Disability Status Scale and Multiple Sclerosis Functional Composite Score – MSFC) and global RSN connectivity were assessed using Spearman rank correlation. Results: Independent component analysis provided eight consistent neuronal networks involved in motor, sensory and cognitive processes. For seven RSNs, the global level of connectivity was significantly increased in patients compared with controls. No significant decrease in RSN connectivity was found in early multiple sclerosis patients. MSFC values were negatively correlated with increased RSN connectivity within the dorsal frontoparietal network ( r = −0.811, p = 0.001), the right ventral frontoparietal network ( r = − 0.587, p = 0.045) and the prefronto-insular network ( r = −0.615, p = 0.033). Conclusions: This study demonstrates that resting state networks reorganization is strongly associated with disability in early multiple sclerosis. These findings suggest that resting state functional MRI may represent a promising surrogate marker of disease burden.

scholarly journals Functional Connectivity Lateralisation Shift of Resting State Networks is Linked to Visuospatial Memory and White Matter Microstructure in Relapsing–Remitting Multiple Sclerosis

2021 ◽  
Author(s):  
Dániel Veréb ◽  
Márton Attila Kovács ◽  
Krisztián Kocsis ◽  
Eszter Tóth ◽  
Bence Bozsik ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
White Matter ◽  
Functional Connectivity ◽  
Default Mode Network ◽  
Resting State ◽  
Angular Gyrus ◽  
Resting State Networks ◽  
Functional Laterality ◽  
Dorsal Attention Network ◽  
Relapsing Remitting

AbstractLaterality patterns of resting state networks (RSN) change in various neuropsychiatric conditions. Multiple sclerosis (MS) causes neuro-cognitive symptoms involving dysfunctional large-scale brain networks. Yet, whether healthy laterality patterns of RSNs are maintained in MS and whether altered laterality patterns explain disease symptoms has not been explicitly investigated. We analysed functional MRI and diffusion tensor imaging data from 24 relapsing–remitting MS patients and 25 healthy participants. We performed group-level independent component analysis and used dual regression to estimate individual versions of well-established RSNs. Voxelwise laterality indices were calculated for each RSN. Group differences were assessed via a general linear model-based approach. The relationship between functional laterality and white matter microstructural asymmetry was assessed using Tract-Based Spatial Statistics. Spearman’s correlation was calculated between laterality indices and Brief International Cognitive Assessment for Multiple Sclerosis scores. Functional laterality of the dorsal attention network showed a significant leftward shift in the MS group in the posterior intraparietal sulcus (p < 0.033). Default-mode network laterality showed a significant leftward shift in the MS group in the angular gyrus (p < 0.005). Diminished dorsal attention network laterality was associated with increased fractional anisotropy asymmetry in the superior longitudinal fasciculus (p < 0.02). In the default-mode network, leftward laterality of the angular gyrus was associated with higher BVMT-R scores (R = − 0.52, p < 0.023). Our results confirm previous descriptions of RSN dysfunction in relapsing–remitting MS and show that altered functional connectivity lateralisation patterns of RSNs might contibute to cognitive performance and structural remodellation even in patients with mild clinical symptoms.

Fatigue in multiple sclerosis: Does the functional or structural damage prevail?

2020 ◽  
Vol 26 (14) ◽  
pp. 1809-1815
Author(s):  
Massimo Bertoli ◽  
Franca Tecchio
Keyword(s):  
Multiple Sclerosis ◽  
Resting State ◽  
Structural Damage ◽  
Clinical Severity ◽  
Inferior Parietal Lobule ◽  
Resting State Networks ◽  
Functional Versus ◽  
Lesion Load ◽  
Neuronal Communication ◽  
Multiple Levels

Fatigue in multiple sclerosis (MS) is a highly invalidating symptom, lacking efficacious drugs. This topical review aims at assessing the signs in the literature of functional versus structural damage prevalence at the origin of MS fatigue by focusing on papers that assessed the two counterparts in the same patients, paying attention that the fatigue levels do not correlate with clinical severity. We summarize and discuss evidence of increased levels of fatigue occurring together with the alterations of functional connectivity at multiple levels, in the absence of any relationship with lesion load and local atrophy of the involved structures. Specifically, neuronal communication mainly altered in the corticomuscular synchronizations, between hemispheric homologs and in the resting-state networks involved in emotion (cingulate cortex) and effort-reward balance (striatum and inferior parietal lobule). Finally, given the functional prevalence in neuronal network alterations at the origin of fatigue in MS, we highlight the relevance of developing treatments aiming at compensating the neuronal electric communication dysfunctions.

2092-P: Impact of Insulin Resistance on Response to a Meal by Salience, Executive Control, and Default Mode Resting State Networks in Humans

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 2092-P
Author(s):  
LETICIA ESPOSITO SEWAYBRICKER ◽  
SUSAN J. MELHORN ◽  
MARY K. ASKREN ◽  
MARY WEBB ◽  
VIDHI TYAGI ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Executive Control ◽  
Resting State ◽  
Resting State Networks ◽  
Default Mode

scholarly journals Intra and inter: Alterations in functional brain resting‐state networks after peripheral nerve injury

2020 ◽  
Vol 10 (9) ◽  
Author(s):  
Xiang‐Xin Xing ◽  
Xu‐Yun Hua ◽  
Mou‐Xiong Zheng ◽  
Zhen‐Zhen Ma ◽  
Bei‐Bei Huo ◽  
...  
Keyword(s):  
Peripheral Nerve ◽  
Nerve Injury ◽  
Resting State ◽  
Peripheral Nerve Injury ◽  
Resting State Networks ◽  
Functional Brain

scholarly journals Abnormal directed connectivity of resting state networks in focal epilepsy

2020 ◽  
Vol 27 ◽  
pp. 102336
Author(s):  
Margherita Carboni ◽  
Pia De Stefano ◽  
Bernd J. Vorderwülbecke ◽  
Sebastien Tourbier ◽  
Emeline Mullier ◽  
...  
Keyword(s):  
Resting State ◽  
Focal Epilepsy ◽  
Resting State Networks

scholarly journals Resting-State Functional Connectivity and Cognitive Impairment in Children with Perinatal Stroke

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Nigul Ilves ◽  
Pilvi Ilves ◽  
Rael Laugesaar ◽  
Julius Juurmaa ◽  
Mairi Männamaa ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Cognitive Functions ◽  
Resting State ◽  
Outcome Measurement ◽  
Pediatric Stroke ◽  
Resting State Networks ◽  
Neurocognitive Deficits ◽  
Resting State Functional Connectivity ◽  
Perinatal Stroke ◽  
Brain Functions

Perinatal stroke is a leading cause of congenital hemiparesis and neurocognitive deficits in children. Dysfunctions in the large-scale resting-state functional networks may underlie cognitive and behavioral disability in these children. We studied resting-state functional connectivity in patients with perinatal stroke collected from the Estonian Pediatric Stroke Database. Neurodevelopment of children was assessed by the Pediatric Stroke Outcome Measurement and the Kaufman Assessment Battery. The study included 36 children (age range 7.6–17.9 years): 10 with periventricular venous infarction (PVI), 7 with arterial ischemic stroke (AIS), and 19 controls. There were no differences in severity of hemiparesis between the PVI and AIS groups. A significant increase in default mode network connectivity (FDR 0.1) and lower cognitive functions (p<0.05) were found in children with AIS compared to the controls and the PVI group. The children with PVI had no significant differences in the resting-state networks compared to the controls and their cognitive functions were normal. Our findings demonstrate impairment in cognitive functions and neural network profile in hemiparetic children with AIS compared to children with PVI and controls. Changes in the resting-state networks found in children with AIS could possibly serve as the underlying derangements of cognitive brain functions in these children.

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