Snake Segmentation of Multiple Sclerosis Lesions for Assisted Diagnosis by Cluster Analysis-Based Techniques

Author(s):  
Lilla Bonanno ◽  
Pietro Lanzafame ◽  
Alessandro Celona ◽  
Silvia Marino ◽  
Barbara Spanó ◽  
...  
2017 ◽  
Vol 24 (2) ◽  
pp. 205-213 ◽  
Author(s):  
Shumita Roy ◽  
Allison S Drake ◽  
María Bárbara Eizaguirre ◽  
Robert Zivadinov ◽  
Bianca Weinstock-Guttman ◽  
...  

Background: Previous research suggests that patients with multiple sclerosis (MS) have higher neuroticism, lower extraversion, and lower conscientiousness relative to healthy controls (HCs). However, the prevalence of this maladaptive profile in MS and its relation to cognition is unknown. Objective: Determine prevalence of maladaptive personality among MS patients, compared to HCs, and examine how it relates to cognitive dysfunction. Methods: A sample of 275 MS patients and 55 HCs completed neuroperformance measures of information processing speed and memory. Self and informant ratings were obtained on the NEO Five-Factor Inventory. Results: MS patients had higher neuroticism and lower extraversion than HCs. Cognitively impaired patients were also lower in conscientiousness. Cluster analysis revealed a configuration of these same three traits, representing a maladaptive profile. This profile was found in 50% of the overall MS sample, compared to 24% of HCs. However, only cognitively impaired MS patients had a higher prevalence of maladaptive personality compared to HCs. Among cognitively impaired patients, those with maladaptive traits were impaired in more cognitive domains than those with more adaptive traits. Conclusion: Cognitively impaired MS patients have a higher prevalence of seemingly maladaptive traits compared to HCs, demonstrating an association between cognition and personality in MS.


2019 ◽  
Vol 267 (2) ◽  
pp. 395-405
Author(s):  
Juichi Fujimori ◽  
Kazuo Fujihara ◽  
Ryo Ogawa ◽  
Toru Baba ◽  
Mike Wattjes ◽  
...  

2006 ◽  
Vol 164 (4) ◽  
pp. 326-333 ◽  
Author(s):  
Maura Pugliatti ◽  
Trond Riise ◽  
M. Alessandra Sotgiu ◽  
Wanda M. Satta ◽  
Stefano Sotgiu ◽  
...  

Neurology ◽  
2002 ◽  
Vol 59 (5) ◽  
pp. 790-790
Author(s):  
J. Parratt ◽  
P. Donnan ◽  
S.V. Wilson ◽  
J.O. O'Riordan ◽  
R.J. Swingler ◽  
...  

2014 ◽  
Vol 20 (10) ◽  
pp. 1396-1400 ◽  
Author(s):  
SN Reinke ◽  
DI Broadhurst ◽  
BD Sykes ◽  
GB Baker ◽  
I Catz ◽  
...  

Metabolomics enables the provision of sensitive bio-markers of disease. We performed 800 MHz 1H-nuclear magnetic resonance (NMR) spectroscopic analyses of cerebrospinal fluid (CSF) specimens to identify biomarkers of multiple sclerosis (MS), yielding reproducible detection of 15 metabolites from MS ( n=15) and non-MS ( n=17) patients. Mean levels of choline, myo-inositol and threonate were increased, whereas 3-hydroxybutyrate, citrate, phenylalanine, 2-hydroxyisovalerate and mannose were decreased in MS-derived CSF ( p<0.05), suggesting alterations to energy and phospholipid metabolism. Multivariate hierarchal cluster analysis indicated a high correlation within the metabolite profiles, significantly clustering samples into the two clinical groups, which was corroborated using principal components analysis. CSF metabolomics have the capacity to yield quantitative biomarkers and insights into the pathogenesis of MS.


BMC Neurology ◽  
2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Hideraldo Luis Souza Cabeça ◽  
Luciano Chaves Rocha ◽  
Amanda Ferreira Sabbá ◽  
Alessandra Mendonça Tomás ◽  
Natali Valim Oliver Bento-Torres ◽  
...  

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