scholarly journals Gray matter networks and cognitive impairment in multiple sclerosis

2018 ◽  
Vol 25 (3) ◽  
pp. 382-391 ◽  
Author(s):  
Carolina M Rimkus ◽  
Menno M Schoonheim ◽  
Martijn D Steenwijk ◽  
Hugo Vrenken ◽  
Anand JC Eijlers ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cognitive Impairment ◽  
Gray Matter ◽  
Random Network ◽  
Neurological Dysfunction ◽  
Single Subject ◽  
Information Processing Speed ◽  
Memory And Attention ◽  
Network Disruptions ◽  
Gray Matter Network

Background: Coordinated patterns of gray matter morphology can be represented as networks, and network disruptions may explain cognitive dysfunction related to multiple sclerosis (MS). Objective: To investigate whether single-subject gray matter network properties are related to impaired cognition in MS. Methods: We studied 148 MS patients (99 female) and 33 healthy controls (HC, 21 female). Seven network parameters were computed and compared within MS between cognitively normal and impaired subjects, and associated with performance on neuropsychological tests in six cognitive domains with regression models. Analyses were controlled for age, gender, whole-brain gray matter volumes, and education level. Results: Compared to MS subjects with normal cognition, MS subjects with cognitive impairment showed a more random network organization as indicated by lower lambda values (all p < 0.05). Worse average cognition and executive function were associated with lower lambda values. Impaired information processing speed, working memory, and attention were associated with lower clustering values. Conclusion: Our findings indicate that MS subjects with a more randomly organized gray matter network show worse cognitive functioning, suggesting that single-subject gray matter graphs may capture neurological dysfunction due to MS.

NODDI microstructural abnormalities in normal-appearing gray matter and white matter contribute to cognitive impairment in multiple sclerosis

2021 ◽  
Vol 429 ◽  
pp. 118088
Author(s):  
Paolo Preziosa ◽  
Lorenzo Conti ◽  
Elisabetta Pagani ◽  
Olga Marchesi ◽  
Maria Rocca ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cognitive Impairment ◽  
White Matter ◽  
Gray Matter

scholarly journals A Pilot Longitudinal Evaluation of MicroRNAs for Monitoring the Cognitive Impairment in Pediatric Multiple Sclerosis

2020 ◽  
Vol 10 (22) ◽  
pp. 8274
Author(s):  
Nicoletta Nuzziello ◽  
Arianna Consiglio ◽  
Rosa Gemma Viterbo ◽  
Flavio Licciulli ◽  
Sabino Liuni ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cognitive Impairment ◽  
Target Genes ◽  
Information Processing Speed ◽  
Cross Sectional ◽  
Pediatric Multiple Sclerosis ◽  
Multiple Data ◽  
Maturation Factor ◽  
Early Markers ◽  
Differentially Expressed Mirnas

MicroRNAs (miRNAs), a class of non-coding RNAs, seem to play a key role in complex diseases like multiple sclerosis (MS), as well as in many cognitive functions associated with the disease. In a previous cross-sectional evaluation on pediatric MS (PedMS) patients, the expression of some miRNAs and their target genes were found to be associated with the scores of some neuropsychiatric tests, thus suggesting that they may be involved in early processes of cognitive impairment. To verify these data, we asked the same patients to be re-evaluated after a 1-year interval; unfortunately, only nine of them agreed to this further clinical and molecular analysis. The main results showed that 13 differentially expressed miRNAs discriminated the two time-points. Among them, the expression of miR-182-5p, miR-320a-3p, miR-744-5p and miR-192-5p significantly correlated with the attention and information processing speed performances, whereas the expression of miR-182-5p, miR-451a, miR-4742-3p and miR-320a-3p correlated with the expressive language performances. The analysis of mRNA expression uncovered 58 predicted and/or validated miRNA-target pairs, including 23 target genes, some of them already associated with cognitive impairment, such as the transducing beta like 1 X-linked receptor-1 gene (TBL1XR1), correlated to disorders of neurodevelopment; the Snf2 related CREBBP activator protein gene (SRCAP) that was found implicated in a rare form of dementia; and the glia maturation factor beta gene (GMFB), which has been reported to be implicated in neurodegeneration and neuroinflammation. No molecular pathways involving the most targeted genes survived the adjustment for multiple data. Although preliminary, these findings showed the feasibility of the methods also applied to longitudinal investigations, as well as the reliability of the obtained results. These findings should be confirmed in larger PedMS cohorts in order to identify early markers of cognitive impairment, towards which more efficient therapeutic efforts can be addressed.

scholarly journals 7T quantitative magnetization transfer (qMT) of cortical gray matter in multiple sclerosis correlates with cognitive impairment

NeuroImage ◽  
2019 ◽  
Vol 203 ◽  
pp. 116190 ◽  
Author(s):  
Lydia J. McKeithan ◽  
Bailey D. Lyttle ◽  
Bailey A. Box ◽  
Kristin P. O’Grady ◽  
Richard D. Dortch ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cognitive Impairment ◽  
Gray Matter ◽  
Magnetization Transfer ◽  
Cortical Gray Matter

Gray matter trophism, cognitive impairment, and depression in patients with multiple sclerosis

2017 ◽  
Vol 23 (14) ◽  
pp. 1864-1874 ◽  
Author(s):  
Emanuele Pravatà ◽  
Maria A Rocca ◽  
Paola Valsasina ◽  
Gianna C Riccitelli ◽  
Claudio Gobbi ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cognitive Impairment ◽  
Gray Matter ◽  
Rating Scale ◽  
Three Dimensional ◽  
Emotional Behavior ◽  
Cortical Atrophy ◽  
Lesion Volume ◽  
Cortical Thinning ◽  
C Statistic

Background: Cognitive impairment and depression frequently affects patients with multiple sclerosis (MS). However, the relationship between the occurrence of depression and cognitive impairment and the development of cortical atrophy has not been fully elucidated yet. Objectives: To investigate the association of cortical and deep gray matter (GM) volume with depression and cognitive impairment in MS. Methods: Three-dimensional (3D) T1-weighted scans were obtained from 126 MS patients and 59 matched healthy controls. Cognitive impairment was assessed using the Brief Repeatable Battery of Neuropsychological Tests and depression with the Montgomery-Asberg Depression Rating Scale (MADRS). Using FreeSurfer and FIRST software, we assessed cortical thickness (CTh) and deep GM volumetry. Magnetic resonance imaging (MRI) variables explaining depression and cognitive impairment were investigated using factorial and classification analysis. Multivariate regression models correlated GM abnormalities with symptoms severity. Results: Compared with controls, MS patients exhibited widespread bilateral cortical thinning involving all brain lobes. Depressed MS showed selective CTh decrease in fronto-temporal regions, whereas cognitive impairment MS exhibited widespread fronto-parietal cortical and subcortical GM atrophy. Frontal cortical thinning was the best predictor of depression ( C-statistic = 0.7), whereas thinning of the right precuneus and high T2 lesion volume best predicted cognitive impairment ( C-statistic = 0.8). MADRS severity correlated with right entorhinal cortex thinning, whereas cognitive impairment severity correlated with left entorhinal and thalamus atrophy. Conclusion: MS-related depression is linked to circumscribed CTh changes in areas deputed to emotional behavior, whereas cognitive impairment is correlated with cortical and subcortical GM atrophy of circuits involved in cognition.

Gray Matter Damage Predicts the Accumulation of Disability and Cognitive Impairment 13 Years Later in Patients with Multiple Sclerosis (S51.005)

Neurology ◽  
2012 ◽  
Vol 78 (Meeting Abstracts 1) ◽  
pp. S51.005-S51.005 ◽  
Author(s):  
M. Rocca ◽  
P. Preziosa ◽  
M. Copetti ◽  
G. C. Riccitelli ◽  
R. Messina ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cognitive Impairment ◽  
Gray Matter

scholarly journals Perspectiva de género en el deterioro cognitivo en pacientes con esclerosis múltiple = A gender perspective in the cognitive impairment of multiple sclerosis patients

2018 ◽  
pp. 389
Author(s):  
Mar Estrada ◽  
Elena Fernández-Martínez ◽  
José Enrique Bayón Darkistade ◽  
Cristina Liébana-Presa ◽  
Antonio José Molina
Keyword(s):  
Multiple Sclerosis ◽  
Gender Differences ◽  
Cognitive Impairment ◽  
General Health ◽  
Neurological Dysfunction ◽  
Performance Effect ◽  
Differential Performance ◽  
Physical Deterioration ◽  
Esclerosis Múltiple ◽  
Multiple Sclerosis Patients

<p><strong>Resumen</strong></p><p>El objetivo de la presente investigación es determinar el deterioro cognitivo de pacientes con Esclerosis múltiple (EM) y analizar si existen diferencias de género con EM en las variables: deterioro físico (escala de fatiga EDSS), deterioro cognitivo (STROOP) y salud general (GHQ-28). Participaron 65 personas con EM, con leve disfunción neurológica, de las cuales 17 fueron hombres y 48 mujeres con edades comprendidas entre los 24 y 62 años. Los resultados muestran como la EM afecta a todos los dominios cognitivos y emocionales, probándose un efecto de rendimiento diferencial en relación al género.<strong></strong></p><p><strong>Abstract</strong></p><p>The aim of the present investigation is to determine the cognitive impairment in patients with Multiple Sclerosis (MS) and to analyze whether there are gender differences with MS in the variables: physical deterioration (EDSS fatigue scale), cognitive impairment (STROOP) and general health GHQ-28). A total of 65 MS patients with mild neurological dysfunction were included, of whom 17 were men and 48 were women between the ages of 24 and 62 (mean age = 40 years). The results show how MS disease affects all cognitive and emotional domains, proving a differential performance effect in relation to gender.</p>

scholarly journals T1 Relaxation Times in the Cortex and Thalamus Are Associated With Working Memory and Information Processing Speed in Patients With Multiple Sclerosis

2021 ◽  
Vol 12 ◽  
Author(s):  
Christian Thaler ◽  
Isabelle Hartramph ◽  
Jan-Patrick Stellmann ◽  
Christoph Heesen ◽  
Maxim Bester ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Working Memory ◽  
Cognitive Impairment ◽  
Information Processing ◽  
Processing Speed ◽  
T1 Mapping ◽  
Relaxation Times ◽  
Healthy Controls ◽  
Information Processing Speed ◽  
T1 Relaxation

Background: Cortical and thalamic pathologies have been associated with cognitive impairment in patients with multiple sclerosis (MS).Objective: We aimed to quantify cortical and thalamic damage in patients with MS using a high-resolution T1 mapping technique and to evaluate the association of these changes with clinical and cognitive impairment.Methods: The study group consisted of 49 patients with mainly relapsing-remitting MS and 17 age-matched healthy controls who received 3T MRIs including a T1 mapping sequence (MP2RAGE). Mean T1 relaxation times (T1-RT) in the cortex and thalami were compared between patients with MS and healthy controls. Additionally, correlation analysis was performed to assess the relationship between MRI parameters and clinical and cognitive disability.Results: Patients with MS had significantly decreased normalized brain, gray matter, and white matter volumes, as well as increased T1-RT in the normal-appearing white matter, compared to healthy controls (p &lt; 0.001). Partial correlation analysis with age, sex, and disease duration as covariates revealed correlations for T1-RT in the cortex (r = −0.33, p &lt; 0.05), and thalami (right thalamus: r = −0.37, left thalamus: r = −0.50, both p &lt; 0.05) with working memory and information processing speed, as measured by the Symbol-Digit Modalities Test.Conclusion: T1-RT in the cortex and thalamus correlate with information processing speed in patients with MS.

Cognitive functions in multiple sclerosis: impact of gray matter integrity

2013 ◽  
Vol 20 (4) ◽  
pp. 424-432 ◽  
Author(s):  
Sara Llufriu ◽  
Eloy Martinez-Heras ◽  
Juan Fortea ◽  
Yolanda Blanco ◽  
Joan Berenguer ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cognitive Performance ◽  
Gray Matter ◽  
Cognitive Functions ◽  
Diffusion Tensor ◽  
Lesion Volume ◽  
Memory And Attention ◽  
Diffusion Tensor Images ◽  
Explained Variance ◽  
The Impact

Objectives: Our aim was to investigate the impact of gray matter (GM) integrity on cognitive performance in multiple sclerosis (MS), and its relationship with white matter (WM) integrity and presence of lesions. Methods: Sixty-seven patients with MS and 26 healthy controls underwent voxel-based analysis of diffusion tensor images (DTI) in GM and tract-based spatial statistics (TBSS) from WM to identify the regional correlations between cognitive functions and integrity. Lesion probability mapping (LPM) was generated for correlation analysis with cognition. Multiple linear regression analyses were used to identify the imaging measures associated with cognitive scores. Results: Compared with controls, patients showed abnormal DTI indices in several GM regions and in most WM tracts. Impairment in DTI indices in specific GM regions was associated with worse performance of distinct cognitive functions. Those regions showed anatomical correspondence with cognitively relevant tracts in TBSS and LPM. The combination of regional GM and WM DTI and lesion volume accounted for 36–51% of the variance of memory and attention scores. Regional GM DTI explained less than 5% of that variance. Conclusion: GM and WM integrity of specific networks influences cognitive performance in MS. However, GM damage assessed by DTI only adds a small increment to the explained variance by WM in predicting cognitive functioning.

scholarly journals Patients with paediatric-onset multiple sclerosis are at higher risk of cognitive impairment in adulthood: An Italian collaborative study

2017 ◽  
Vol 24 (9) ◽  
pp. 1234-1242 ◽  
Author(s):  
Luis Ruano ◽  
Mariana Branco ◽  
Emilio Portaccio ◽  
Benedetta Goretti ◽  
Claudia Niccolai ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cognitive Impairment ◽  
Information Processing ◽  
Processing Speed ◽  
Collaborative Study ◽  
Cognitive Disability ◽  
Information Processing Speed ◽  
Neuropsychological Profile ◽  
Increased Risk ◽  
History Of

Background: Patients with paediatric-onset multiple sclerosis (POMS) could be at an increased risk for cognitive impairment (CI), given the potential harmful effects of disease activity in neurodevelopment. However, there is scarce information on their long-term cognitive outcomes. Objective: To compare the prevalence and profile of CI between adults with a history of POMS and those with classic, adult-onset multiple sclerosis (AOMS). Methods: Cognitive performance was assessed through the Brief Repeatable Battery (BRB) and the Stroop Test in consecutive patients referred to six Italian MS centres. CI was defined as impairment in ⩾2 cognitive domains. Results: In all, 119 patients with POMS and 712 with AOMS were included in this analysis. The prevalence of CI was 48.0% in AOMS, 44.5% in POMS; with similar neuropsychological profile between the two groups. However, when adjusting for current age, we found a significantly increased risk for CI (odds ratio (OR) = 1.71; p = 0.02) and for impairment in information processing speed (OR = 1.86; p < 0.01) in patients with POMS. A higher Expanded Disability Status Scale (EDSS) was also identified in POMS ( p = 0.03) compared with AOMS patients. Conclusion: Patients with a history of POMS appear to be at higher risk of physical and cognitive disability than AOMS patients, after correcting for age effects, with particular involvement of information processing speed.

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