Regional Distribution and Evolution of Gray Matter Damage in Different Populations of Multiple Sclerosis Patients

Calabrese, Massimiliano; Reynolds, Richard; Magliozzi, Roberta; Castellaro, Marco; Morra, Aldo; Scalfari, Antonio; Farina, Gabriele; Romualdi, Chiara; Gajofatto, Alberto; Pitteri, Marco; Benedetti, Maria Donata; Monaco, Salvatore

doi:10.1371/journal.pone.0135428

Cited by 54 publications

(55 citation statements)

References 44 publications

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“…While MS is generally thought to be a demyelinating disease, it is now known that gray matter is also significantly affected 21 . Differential patterns in gray matter damage may contribute to the differences in the BOLD responses between voiders and dysfunctional voiders.…”

Section: Discussionmentioning

confidence: 99%

“…While MS is generally thought to be a demyelinating disease, it is now known that gray matter is also significantly affected. 21 Differential patterns in gray matter damage may contribute to the differences in the BOLD responses between voiders and dysfunctional voiders. Our group has previously found that MS patients with VD had significantly less similar functional connectivity patterns compared to patients with MS who were able to void suggesting a possible failure in the cortical compensation mechanism for voiding.…”

Section: Discussionmentioning

confidence: 99%

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Brain activation patterns of female multiple sclerosis patients with voiding dysfunction

Khavari

Chen

Boone

et al. 2020

Neurourology and Urodynamics

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Aims We compared brain activation patterns between female multiple sclerosis (MS) patients with voiding dysfunction (VD) and those without. We aim to expand current knowledge of supraspinal correlates of voiding initiation within a cohort of female MS patients with and without VD. Materials and Methods Twenty‐eight ambulatory female MS patients with stable disease and lower urinary tract dysfunction were recruited for this study. Subjects were divided into group 1, without VD (n = 14), and group 2, with VD (n = 14), defined as postvoid residual urine of ≥40% of maximum cystometric capacity or need for self‐catheterization. We recorded brain activity via functional magnetic resonance imaging (fMRI) with simultaneous urodynamic testing. Average fMRI activation maps (the Student t test) were created for both groups, and areas of significant activation were identified (P < .05). A priori regions of interest (ROIs), identified by prior meta‐analysis to be involved in voiding, were selected. Results Group‐averaged blood‐oxygen level‐dependent (BOLD) activation maps demonstrated significant differences between groups 1 and 2 during initiation of voiding with group 2 showing significantly lower levels of activation in all ROIs except for the left cerebellum and right cingulate gyrus. Interestingly, group 2 displayed negative BOLD signals, while group 1 displayed positive signals in the right and left pontine micturition center, right periaqueductal gray, left thalamus, and left cingulate gyrus. The activation map of group 1 was similar to healthy controls. Conclusions Our results support the hypothesis that distinct supraspinal activation patterns exist between female MS patients with VD and those without.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Brain activation patterns of female multiple sclerosis patients with voiding dysfunction

Khavari

Chen

Boone

et al. 2020

Neurourology and Urodynamics

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“…In fact, the development of CLs has been reported more frequently in the temporal and frontal lobes, while the occipital lobe is less affected (Calabrese, Favaretto, Martini, & Gallo, ). With regard to CLs distribution in different disease subtypes, one recent study reported that in CIS and early RRMS patients, the most affected areas were the fronto‐temporal regions, while CLs were more widespread in late RRMS and SPMS (Calabrese et al., ).…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, a three-dimensional version (3D-DIR) allows for a shorter acquisition time and a reduction in artefacts (Roosendaal et al, 2009). With the application of these techniques, several studies have demonstrated that CLs are a typical finding in all phenotypes and stages of MS, including clinically isolated syndrome (CIS) (Calabrese et al, 2007(Calabrese et al, , 2008Geurts et al, 2005) and radiologically isolated syndrome (Calabrese & Gallo, 2009;Giorgio et al, 2011), although they are more represented in the progressive forms and with longer disease duration (Calabrese et al, 2015;Kutzelnigg et al, 2005;Mike et al, 2011;Roosendaal et al, 2009).…”

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confidence: 99%

Correlation between cortical lesions and cognitive impairment in multiple sclerosis

et al. 2018

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ObjectivesGray matter (GM) damage is well known as a fundamental aspect of multiple sclerosis (MS). Above all, cortical lesions (CLs) burden, detectable at MRI with double inversion recovery (DIR) sequences, has been demonstrated to correlate with cognitive impairment (CI). The aim of this study was to investigate the role of CLs number in predicting CI in a cohort of patients with MS in a clinical practice setting.Materials and methodsThirty consecutive patients with MS presenting CLs (CL+) at high‐field (3.0 T) MRI 3D‐DIR sequences and an even group of MS patients without CLs (CL‐) as a control, were investigated with the Rao Brief Repeatable Battery of Neuropsychological Tests (BRB), Version A. Total and lobar CLs number were computed in CL+ patients.ResultsAmong the sixty patients with MS enrolled, forty‐seven (78.3%) had a relapsing‐remitting course, while thirteen (21.7%) a progressive one, eleven secondary progressive, and two primary progressive. Compared to CL−, CL+ patients had a greater proportion of progressive forms (p = .03). The most affected region was the frontal lobe (73.3% of patients), followed by temporal and parietal ones (both 60.0%). Multivariate (logistic regression) analysis revealed a significant correlation between total CLs number and the presence of mild cognitive impairment defined as pathologic score in at least one BRB test (p = .04); it was also correlated with deficit at PASAT 3 (p = .05) and Stroop Test (p = .02).ConclusionsWe confirmed CLs number, evaluated with a technique quite commonly available in clinical practice, as a predictive factor of CI in patients with MS, in order to improve the diagnosis and management of CI and monitor potential neuroprotective effects of therapies.

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“…For instance, the consensus is that MS lesions disrupt the corresponding white matter pathways, leading to dysfunction. However, recent research has suggested that physical and cognitive disabilities seem to correlate better with damage to grey matter than with the lesion load of white matter in MS patients [42]. Future research is needed to elucidate the association between structural damage (grey matter and white matter) and causal changes involving cortical and subcortical RSNs in MS. Second, it should be noted that the observed correlation in the acute phase was relatively weak, and no correlations were observed in the remitting phase of RRMS.…”

Section: Limitationsmentioning

confidence: 99%

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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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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Regional Distribution and Evolution of Gray Matter Damage in Different Populations of Multiple Sclerosis Patients

Cited by 54 publications

References 44 publications

Brain activation patterns of female multiple sclerosis patients with voiding dysfunction

Brain activation patterns of female multiple sclerosis patients with voiding dysfunction

Correlation between cortical lesions and cognitive impairment in multiple sclerosis

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

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