Functional Connectivity and Structural Disruption in the Default‐Mode Network Predicts Cognitive Rehabilitation Outcomes in Multiple Sclerosis

Fuchs, Tom; Ziccardi, Stefano; Benedict, Ralph H. B.; Bartnik, Alexander; Kuceyeski, Amy; Charvet, Leigh; Oship, Devon; Weinstock‐Guttman, Bianca; Wojcik, Curtis; Hojnacki, David; Kolb, Channa; Escobar, José Arturo Costa; Campbell, Rebecca; Tran, Hoan; Bergsland, Niels; Jakimovski, Dejan; Zivadinov, Robert; Dwyer, Michael G.

doi:10.1111/jon.12723

Cited by 25 publications

(23 citation statements)

References 33 publications

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“…The NeMo Tool uses a database of healthy tractograms on which the MS‐related lesion masks are superimposed to estimate the resulting regional disconnectivity pattern, that is, the percent of WM streamlines connecting to that region that also passes through a lesion. This approach has been used by our group and others to relate lesion‐related structural disconnectivity patterns to impairments, outcomes, functional connectivity disruptions, rehabilitation response, and gray matter pathology in pwMS (Fuchs, Carolus et al., 2018 ; Fuchs, Dwyer et al., 2018 ; Fusch et al., 2020 ; Kuceyeski et al., 2015 , 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Structural disconnectivity from paramagnetic rim lesions is related to disability in multiple sclerosis

et al. 2021

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Background:In people with multiple sclerosis (pwMS), lesions with a hyperintense rim (rim+) on Quantitative Susceptibility Mapping (QSM) have been shown to have greater myelin damage compared to rim-lesions, but their association with disabilityhas not yet been investigated. Furthermore, how QSM rim+ and rim-lesions differentially impact disability through their disruptions to structural connectivity has not been explored. We test the hypothesis that structural disconnectivity due to rim+ lesions is more predictive of disability compared to structural disconnectivity due to rim-lesions.Methods: Ninety-six pwMS were included in our study. Individuals with Expanded Disability Status Scale (EDSS) <2 were considered to have lower disability (n = 59). For each gray matter region, a Change in Connectivity (ChaCo) score, that is, the percent of connecting streamlines also passing through a rim-or rim+ lesion, was computed.Adaptive Boosting was used to classify the pwMS into lower versus greater disability groups based on ChaCo scores from rim+ and rim-lesions. Classification performance was assessed using the area under ROC curve (AUC). Results:The model based on ChaCo from rim+ lesions outperformed the model based on ChaCo from rim-lesions (AUC = 0.67 vs 0.63, p-value < .05). The left thalamus and left cerebellum were the most important regions in classifying pwMS into disability categories.Conclusion: rim+ lesions may be more influential on disability through their disruptions to the structural connectome than rim-lesions. This study provides a deeper understanding of how rim+ lesion location/size and resulting disruption to the structural connectome can contribute to MS-related disability.

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Section: Introductionmentioning

confidence: 99%

Structural disconnectivity from paramagnetic rim lesions is related to disability in multiple sclerosis

et al. 2021

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“…In addition to the bilateral PCUN, the PCC, right PHG, and right MTG exhibit a significant decreased group difference. Recent research revealed that PCC and PCUN appeared to have the most structural and functional alterations in MCI patients (Fuchs et al, 2020). From the structural point of view, a study highlighted the association between PHG and gait parameters in MCI patients.…”

Section: Interactive Neural Networkmentioning

confidence: 99%

Functional MRI-Specific Alterations in Executive Control Network in Mild Cognitive Impairment: An ALE Meta-Analysis

Chen

Xue

et al. 2020

Front. Aging Neurosci.

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Background: Mild cognitive impairment (MCI) is regarded as a transitional stage between normal aging and Alzheimer's disease (AD) dementia. MCI individuals with deficits in executive function are at higher risk for progressing to AD dementia. Currently, there is no consistent result for alterations in the executive control network (ECN) in MCI, which makes early prediction of AD conversion difficult. The aim of the study was to find functional MRI-specific alterations in ECN in MCI patients by expounding on the convergence of brain regions with functional abnormalities in ECN. Methods: We searched PubMed, Embase, and Web of Science to identify neuroimaging studies using methods including the amplitude of low frequency fluctuation/fractional amplitude of low-frequency fluctuation, regional homogeneity, and functional connectivity in MCI patients. Based on the Activation Likelihood Estimation algorithm, the coordinate-based meta-analysis and functional meta-analytic connectivity modeling were conducted. Results: A total of 25 functional imaging studies with MCI patients were included in a quantitative meta-analysis. By summarizing the included articles, we obtained specific brain region changes, mainly including precuneus, cuneus, lingual gyrus, middle frontal gyrus, posterior cingulate cortex, and cerebellum posterior lobe, in the ECN based on these three methods. The specific abnormal brain regions indicated that there were interactions between the ECN and other networks. Conclusions: This study confirms functional imaging specific abnormal markers in ECN and its interaction with other networks in MCI. It provides novel targets and pathways for individualized and precise interventions to delay the progression of MCI to AD.

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“…cutoff values (6,7) or latent profile analysis (8). Furthermore, the involvement of cognitive reserve has been suggested to partly explain the "clinicoradiological paradox" in MS patients without CI despite the evidence of brain damage (9)(10)(11)(12)(13).…”

Section: Primary Progressive Ms (Ppms)mentioning

confidence: 99%

Structural and Functional Connectivity Substrates of Cognitive Impairment in Multiple Sclerosis

et al. 2021

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Cognitive impairment (CI) occurs in 43 to 70% of multiple sclerosis (MS) patients at both early and later disease stages. Cognitive domains typically involved in MS include attention, information processing speed, memory, and executive control. The growing use of advanced magnetic resonance imaging (MRI) techniques is furthering our understanding on the altered structural connectivity (SC) and functional connectivity (FC) substrates of CI in MS. Regarding SC, different diffusion tensor imaging (DTI) measures (e.g., fractional anisotropy, diffusivities) along tractography-derived white matter (WM) tracts showed relevance toward CI. Novel diffusion MRI techniques, including diffusion kurtosis imaging, diffusion spectrum imaging, high angular resolution diffusion imaging, and neurite orientation dispersion and density imaging, showed more pathological specificity compared to the traditional DTI but require longer scan time and mathematical complexities for their interpretation. As for FC, task-based functional MRI (fMRI) has been traditionally used in MS to brain mapping the neural activity during various cognitive tasks. Analysis methods of resting fMRI (seed-based, independent component analysis, graph analysis) have been applied to uncover the functional substrates of CI in MS by revealing adaptive or maladaptive mechanisms of functional reorganization. The relevance for CI in MS of SC–FC relationships, reflecting common pathogenic mechanisms in WM and gray matter, has been recently explored by novel MRI analysis methods. This review summarizes recent advances on MRI techniques of SC and FC and their potential to provide a deeper understanding of the pathological substrates of CI in MS.

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Functional Connectivity and Structural Disruption in the Default‐Mode Network Predicts Cognitive Rehabilitation Outcomes in Multiple Sclerosis

Cited by 25 publications

References 33 publications

Structural disconnectivity from paramagnetic rim lesions is related to disability in multiple sclerosis

Structural disconnectivity from paramagnetic rim lesions is related to disability in multiple sclerosis

Functional MRI-Specific Alterations in Executive Control Network in Mild Cognitive Impairment: An ALE Meta-Analysis

Structural and Functional Connectivity Substrates of Cognitive Impairment in Multiple Sclerosis

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