Synchronization within, and interactions between, the default mode and dorsal attention networks in relapsing-remitting multiple sclerosis

Huang, Muhua; Zhou, Fuqing; Wu, Lin; Wang, Bo; Wan, Hui; Li, Fangjun; Zeng, Xiaoyang; Gong, Honghan

doi:10.2147/ndt.s155478

Cited by 14 publications

(27 citation statements)

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“…All the remaining volumes were processed, including slice correction, head realignment, spatial normalization to MNI space with high-resolution T1WI registration, resampling to 3 mm isotropic voxels, and 6 mm smoothing. The standard preprocessing procedures have been described in our previous studies [11]. In addition, subjects with head movement in the cardinal directions (x, y, z) >2 mm and a maximum rotation (x, y, z) >2° were excluded.…”

Section: Image Acquisition and Preprocessingmentioning

confidence: 99%

“…Additionally, patients with MS with cognitively impairment display reduced eigenvector centrality dynamics in the DMN, frontoparietal network, and visual network [10]. Our previous study found that abnormalities of the attention network, which is more associated with externally directed cognition, have been observed in relapsing-remitting MS (RRMS); these abnormalities include decreased FC [11] and dynamic FC [12] within the network.…”

Section: Introductionmentioning

confidence: 96%

“…A functional network connectivity study found that abnormalities of functional interactions between the principal resting-state networks (RSNs) were also present in RRMS patients and were related to the severity of the disability [13]. Recently, a few studies have shown an abnormal functional connection strength among the DMN, attention network and working memory network in paediatric MS [14] and the maintenance of a stable interaction between the DMN and attention network in adult RRMS patients in the remitting phase [11]. Moreover, previous MS studies indicated that structural brain damage might result in functional reorganization (increased FC) before the functional network collapses, prompting a delayed cognitive decline [15].…”

Section: Introductionmentioning

confidence: 99%

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Distributed causality in resting-state network connectivity in the acute and remitting phases of RRMS

Huang

Zhou

et al. 2020

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Background Although previous studies have shown that intranetwork abnormalities in brain functional networks are correlated with clinical/cognitive impairment in multiple sclerosis (MS), there is little information regarding the pattern of causal interactions among cognition-related resting-state networks (RSNs) in different disease stages of relapsing-remitting MS (RRMS) patients. We hypothesized that abnormalities of causal interactions among RSNs occurred in RRMS patients in the acute and remitting phases. Patients and methods: Seventeen patients in the acute phases of RRMS, 24 patients in the remitting phases of RRMS, and 23 appropriately matched healthy controls participated in this study. First, we first used group independent component analysis to extract the time courses of the spatially independent components from all the subjects. Then, the Granger causality test was used to investigate the causal relationships among RSNs in the spectral domain and to identify correlations with clinical indexes. Results Compared with the patients in the acute phase of RRMS, patients in the remitting phase of RRMS showed a significantly lower expanded disability status scale, modified fatigue impact scale scores, and significantly higher paced auditory serial addition test (PASAT) scores. Compared with healthy subjects, during the acute phase, RRMS patients had significantly increased driving connectivity from the right executive control network (rECN) to the anterior salience network (aSN), and the causal coefficient was negatively correlated with the PASAT score. During the remitting phase, RRMS patients had significantly increased driving connectivity from the rECN to the aSN and from the rECN to the visuospatial network. Conclusion Together with the disease duration (mean disease duration < 5 years) and relatively better clinical scores than those in the acute phase, abnormal connections, such as the information flow from the rECN to the aSN and the rECN to the visuospatial network, might provide adaptive compensation in the remitting phase of RRMS.

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Section: Image Acquisition and Preprocessingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

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Distributed causality in resting-state network connectivity in the acute and remitting phases of RRMS

Huang

Zhou

et al. 2020

Preprint

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“…All the preprocessing steps were carried out using the MATLAB 2012a platform (MathWorks, Inc., Natick, MA, USA). The standard preprocessing procedures have been described in our previous studies [11]. The main steps of preprocessing included the rst ten volumes of each session were discarded for the equilibrium state of the echo signal, slice correction, head realignment, spatial normalization to MNI space with high-resolution T1WI registration, resampling to 3 mm isotropic voxels, and 6 mm smoothing.…”

Section: Image Acquisition and Preprocessingmentioning

confidence: 99%

Distributed causality in resting-state network connectivity in the acute and remitting phases of RRMS

Huang

Zhou³

et al. 2020

Preprint

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Background: Although previous studies have shown that intra-network abnormalities in brain functional networks are correlated with clinical/cognitive impairment in multiple sclerosis (MS), there is little information regarding the pattern of causal interactions among cognition-related resting-state networks (RSNs) in different disease stages of relapsing-remitting MS (RRMS) patients. We hypothesized that abnormalities of causal interactions among RSNs occurred in RRMS patients in the acute and remitting phases.Methods: Seventeen patients in the acute phases of RRMS, 24 patients in the remitting phases of RRMS, and 23 appropriately matched healthy controls participated in this study. First, we used group independent component analysis to extract the time courses of the spatially independent components from all the subjects. Then, the Granger causality analysis was used to investigate the causal relationships among RSNs in the spectral domain and to identify correlations with clinical indices. Results: Compared with the patients in the acute phase of RRMS, patients in the remitting phase of RRMS showed a significantly lower expanded disability status scale, modified fatigue impact scale scores, and significantly higher paced auditory serial addition test (PASAT) scores. Compared with healthy subjects, during the acute phase, RRMS patients had significantly increased driving connectivity from the right executive control network (rECN) to the anterior salience network (aSN), and the causal coefficient was negatively correlated with the PASAT score. During the remitting phase, RRMS patients had significantly increased driving connectivity from the rECN to the aSN and from the rECN to the visuospatial network. Conclusions: Together with the disease duration (mean disease duration < 5 years) and relatively better clinical scores than those in the acute phase, abnormal connections, such as the information flow from the rECN to the aSN and the rECN to the visuospatial network, might provide adaptive compensation in the remitting phase of RRMS.

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“…[ 12 ] In rs-fMRI, functional connectivity is widely used to reflect the neuronal intrinsic activity level in functional communication between regions. Previous studies had shown the MS patients’ impairment of the integrity in inter-network coupling and intra-network functional connectivity in the salience network, [ 13 ] default mode network, [ 14 , 15 ] sensorimotor network, [ 16 , 17 ] and visual network. [ 18 ] Another study [ 19 ] revealed that different immune pathogenic processes occur as the disease stage changes, which may lead to different cognitive impairment.…”

Section: Introductionmentioning

confidence: 99%

Local functional connectivity of patients with acute and remitting multiple sclerosis

et al. 2020

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Using Kendall's coefficient of concordance (KCC-) and Coherence (Cohe-) regional homogeneity (ReHo) to explore the alterations of brain local functional connectivity in acute and remitting relapsing-remitting multiple sclerosis (RRMS), and its clinical relevance. 18 acute RRMS, 26 remitting RRMS and 20 healthy controls received resting-state functional magnetic resonance imaging scanning. After data preprocessing and ReHo (KCC-ReHo and Cohe-ReHo) calculation, analysis of variance and followed post hoc analysis was used to compare the KCC-ReHo or Cohe ReHo maps across groups. After analysis of variance analysis, regions with significant among-group differences detected by the 2 ReHo analysis were overlapped, these overlapped regions located in the left superior frontal gyrus (SFG), right SFG, left cuneus and right middle occipital gyrus ( P < .01, Gaussian random field theory correction). Followed post hoc tests showed that, compared with healthy controls, increased ReHo in left cuneus and right middle occipital gyrus only detected in acute RRMS not in remitting RRMS; acute and remitting RRMS both demonstrated decreased ReHo in the SFG and medial frontal gyrus (MeFG). Except for the overlapped location, the regions location of altered ReHo detected by the 2 ReHo analysis also present difference. Further, correlation analysis showed disease duration was negatively correlated with the KCC-ReHo (when K = 7, 19) of left SFG (r = -0.633, P = .006; r = -0.620, P = .008), left MeFG (r = -0.608, P = .010; r = -0.555, P = .022), the KCC-ReHo (when K = 27) of left and right SFG (r = -0.551, P = .022; r = -0.603, Ρ = .010), and the Cohe-ReHo of right MeFG (r = -0.608, P = .010) in acute RRMS; meanwhile, the KCC-ReHo (when K = 7, 19) of right SFG (r = -0.590, P = .013; r = -0.599, P = .011) was negatively related to expanded disability status scale scores in the acute RRMS. Both acute and remitting RRMS patients has disease-related brain dysfunction, interestingly, relative to remitting RRMS, the acute RRMS patients mobilized more brain regions involving visual information processing in an attempt to maintain functional stability. In addition, our results also provide a methodological consideration for future ReHo analysis.

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Synchronization within, and interactions between, the default mode and dorsal attention networks in relapsing-remitting multiple sclerosis

Cited by 14 publications

References 50 publications

Distributed causality in resting-state network connectivity in the acute and remitting phases of RRMS

Distributed causality in resting-state network connectivity in the acute and remitting phases of RRMS

Distributed causality in resting-state network connectivity in the acute and remitting phases of RRMS

Local functional connectivity of patients with acute and remitting multiple sclerosis

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