Microstructural fronto-striatal and temporo-insular alterations are associated with fatigue in patients with multiple sclerosis independent of white matter lesion load and depression

2019 ◽  
Vol 26 (13) ◽  
pp. 1708-1718 ◽  
Author(s):  
Miklos Palotai ◽  
Michele Cavallari ◽  
Ismail Koubiyr ◽  
Alfredo Morales Pinzon ◽  
Aria Nazeri ◽  
...  

Background: Fatigue in multiple sclerosis (MS) has been inconsistently associated with disruption of specific brain circuitries. Temporal fluctuations of fatigue have not been considered. Objective: The aim of this study was to investigate the association of fatigue with brain diffusion abnormalities, using robust criteria for patient stratification based on longitudinal patterns of fatigue. Methods: Patient stratification: (1) sustained fatigue (SF, n = 26): latest two Modified Fatigue Impact Scale (MFIS) ⩾ 38; (2) reversible fatigue (RF, n = 25): latest MFIS < 38 and minimum one previous MFIS ⩾ 38; and (3) never fatigued (NF, n = 42): MFIS always < 38 (five assessments minimum). 3T brain magnetic resonance imaging (MRI) was used to perform voxel-wise comparison of fractional anisotropy (FA) between the groups controlling for age, sex, disease duration, physical disability, white matter lesion load (T2LV), and depression. Results: SF and, to a lesser extent, RF patients showed lower FA in multiple brain regions compared to NF patients, independent of age, sex, disease duration, and physical disability. In cingulo-postcommissural-striato-thalamic regions, the differences in FA between SF and NF (but not between RF and NF or SF) patients were independent of T2LV, and in ventromedial prefronto-precommissuro-striatal and temporo-insular areas, independent of T2LV and depression. Conclusion: Damage to ventromedial prefronto-precommissuro-striatal and temporo-insular pathways appears to be a specific substrate of SF in MS.

2008 ◽  
Vol 15 (2) ◽  
pp. 204-211 ◽  
Author(s):  
G Tedeschi ◽  
D Dinacci ◽  
M Comerci ◽  
L Lavorgna ◽  
G Savettieri ◽  
...  

Background To investigate in a large cohort of patients with multiple sclerosis (MS), lesion load and atrophy evolution, and the relationship between clinical and magnetic resonance imaging (MRI) correlates of disease progression. Methods Two hundred and sixty-seven patients with MS were studied at baseline and two years later using the same MRI protocol. Abnormal white matter fraction, normal appearing white matter fraction, global white matter fraction, gray matter fraction and whole brain fraction, T2-hyperintense, and T1-hypointense lesions were measured at both time points. Results The majority of patients were clinically stable, whereas MRI-derived brain tissue fractions were significantly different after 2 years. The correlation between MRI data at baseline and their variation during the follow-up showed that lower basal gray matter atrophy was significantly related with higher progression of gray matter atrophy during follow-up. The correlation between MRI parameters and disease duration showed that gray matter atrophy rate decreased with increasing disease duration, whereas the rate of white matter atrophy had a constant pattern. Lower basal gray matter atrophy was associated with increased probability of developing gray matter atrophy at follow-up, whereas gray matter atrophy progression over 2 years and new T2 lesion load were risk factors for whole brain atrophy progression. Conclusions In MS, brain atrophy occurs even after a relatively short period of time and in patients with limited progression of disability. Short-term brain atrophy progression rates differ across tissue compartments, as gray matter atrophy results more pronounced than white matter atrophy and appears to be a early phenomenon in the MS-related disease progression.


2013 ◽  
Vol 20 (1) ◽  
pp. 72-80 ◽  
Author(s):  
H Kearney ◽  
MA Rocca ◽  
P Valsasina ◽  
L Balk ◽  
J Sastre-Garriga ◽  
...  

Background: Understanding long-term disability in multiple sclerosis (MS) is a key goal of research; it is relevant to how we monitor and treat the disease. Objectives: The Magnetic Imaging in MS (MAGNIMS) collaborative group sought to determine the relationship of brain lesion load, and brain and spinal cord atrophy, with physical disability in patients with long-established MS. Methods: Patients had a magnetic resonance imaging (MRI) scan of their brain and spinal cord, from which we determined brain grey (GMF) and white matter (WMF) fractional volumes, upper cervical spinal cord cross-sectional area (UCCA) and brain T2-lesion volume (T2LV). We assessed patient disability using the Expanded Disability Status Scale (EDSS). We analysed associations between EDSS and MRI measures, using two regression models (dividing cohort by EDSS into two and four sub-groups). Results: In the binary model, UCCA ( p < 0.01) and T2LV ( p = 0.02) were independently associated with the requirement of a walking aid. In the four-category model UCCA ( p < 0.01), T2LV ( p = 0.02) and GMF ( p = 0.04) were independently associated with disability. Conclusions: Long-term physical disability was independently linked with atrophy of the spinal cord and brain T2 lesion load, and less consistently, with brain grey matter atrophy. Combinations of spinal cord and brain MRI measures may be required to capture clinically-relevant information in people with MS of long disease duration.


2020 ◽  
Vol 11 ◽  
Author(s):  
Ramona-Alexandra Todea ◽  
Po-Jui Lu ◽  
Mario Joao Fartaria ◽  
Guillaume Bonnier ◽  
Renaud Du Pasquier ◽  
...  

2009 ◽  
Vol 16 (1) ◽  
pp. 45-54 ◽  
Author(s):  
A. Prinster ◽  
M. Quarantelli ◽  
R. Lanzillo ◽  
G. Orefice ◽  
G. Vacca ◽  
...  

Previous studies have shown a preferential loss of grey matter in fronto-temporal regions in patients with multiple sclerosis. Studies of correlates of disease severity are more controversial, because some studies have suggested an association between sensorimotor cortex atrophy and Expanded Disability Status Scale score, while others did not find such a correlation. The objective of this study was to assess the correlation of regional loss of grey matter and white matter with indexes of clinical and radiological severity in relapsing—remitting multiple sclerosis, including the Expanded Disability Status Scale and lesion load. Correlations between Expanded Disability Status Scale, lesion load and disease duration were assessed in 128 patients with relapsing—remitting multiple sclerosis (Expanded Disability Status Scale range 1.0—6.0) using optimized voxel-based morphometry. Bilateral loss of grey matter in sensorimotor cortices was correlated with Expanded Disability Status Scale, and tissue loss also involved adjacent white matter, extending along pyramidal tracts to the brainstem. Increasing lesion load was correlated with loss of deep grey matter and white matter. No specific region of grey matter or white matter showed a significant correlation with disease duration. These findings support the hypothesis that motor neuron involvement plays a major role in the progression of physical disability. Lesion load accrual affects mainly highly interconnected subcortical structures, while disease duration has a less significant impact on brain atrophy, probably owing to the inter-subject heterogeneity of the clinical course of the disease.


Brain ◽  
2009 ◽  
Vol 132 (12) ◽  
pp. 3366-3379 ◽  
Author(s):  
Yong He ◽  
Alain Dagher ◽  
Zhang Chen ◽  
Arnaud Charil ◽  
Alex Zijdenbos ◽  
...  

2009 ◽  
Vol 15 (3) ◽  
pp. 337-344 ◽  
Author(s):  
J Sepulcre ◽  
JC Masdeu ◽  
J Goñi ◽  
G Arrondo ◽  
N Vélez de Mendizábal ◽  
...  

Background Fatigue is one of the most frequent and disturbing symptoms in multiple sclerosis (MS), directly affecting the patient’s quality of life. However, many questions remain unclear regarding the anatomic brain correlate of MS-related fatigue. Objective To assess the relationship between fatigue and white matter lesion location and gray matter atrophy. Methods In this study, 60 patients with MS were evaluated with the Modified Fatigue Impact Scale and magnetic resonance imaging. Location of white matter lesion was analyzed using a voxel-by-voxel lesion probability mapping approach and gray matter atrophy degree and location using an optimized voxel-based morphometry method. Results We found a correlation between lesion load and fatigue score (T2 lesion load: r = 0.415, P = 0.001; T1 lesion load r = 0.328, P = 0.011). Moreover, fatigue correlated with lesions in the right parietotemporal (periatrial area, juxtaventricular white matter deep in the parietal lobe and callosal forceps) and left frontal (middle-anterior corpus callosum, anterior cingulum and centrum semiovale of the superior and middle frontal gyri) white matter regions ( P < 0.001 in all cases). Finally, fatigue score significantly correlated with gray matter atrophy in frontal regions, specifically, the left superior frontal gyrus and bilateral middle frontal gyri ( P < 0.001 in all cases). Conclusion Our results suggest that the symptom of fatigue is associated with a disruption of brain networks involved in cognitive/attentional processes.


2000 ◽  
Vol 6 (6) ◽  
pp. 386-390 ◽  
Author(s):  
Marino Zorzon ◽  
Maja Ukmar ◽  
Luisa Monti Bragadin ◽  
Francesca Zanier ◽  
Rodolfo M Antonello ◽  
...  

Background: The relative contribution to the olfactory dysfunction of the lesions in the specific brain regions involved in olfaction compared with the lesions scattered all over the rest of the brain has not been fully clarified yet in patients with multiple sclerosis (MS). The concurrent use of Magnetic Resonance Imaging (MRI) and a standardized test of odor identification ability now permits to study the relation between smell loss and the extent of white matter abnormalities. Methods: We tested the olfactory function of 40 patients with definite MS and of 40 age-sex- and smoking-habit-matched healthy controls by using the Cross Cultural Smell Identification Test. We measured also the lesion load on T2-weighted images in the inferior-frontal and temporal lobes and in the rest of the brain in MS patients. Therefore, we tried to correlate measures of lesion load and smell test scores. Results: A robust correlation was demonstrated between MR measures of lesion load in the white matter of the olfactory brain region and smell loss (r=70.739, P50.0001). A significant relationship has been found even after taking potential confounding factors, such as sex, age, disease duration, disability, anxiety and depression, into account (r=70.90, P50.0001). Conclusions: Our findings show, in MS patients with stable neurological impairment and no recent disease exacerbation, a correlation between smell loss and the lesion load in the regions of the brain involved in olfaction and support the theory that the extent and severity of MRI abnormalities in specific brain regions are related to the presence of selective neurologic and neuropsychologic impairment.


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