scholarly journals Brief Computer-Based Information Processing Measures are Linked to White Matter Integrity in Pediatric-Onset Multiple Sclerosis

2018 ◽  
Vol 29 (1) ◽  
pp. 140-150 ◽  
Author(s):  
Elizabeth Bartlett ◽  
Michael Shaw ◽  
Colleen Schwarz ◽  
Charles Feinberg ◽  
Christine DeLorenzo ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Information Processing ◽  
White Matter ◽  
White Matter Integrity ◽  
Computer Based ◽  
Pediatric Onset

Upper Extremity Motor Fatigability as an Early Indicator in Pediatric Onset Multiple Sclerosis

2021 ◽  
pp. 088307382199988
Author(s):  
Giuseppina Pilloni ◽  
Martin Malik ◽  
Raghav Malik ◽  
Lauren Krupp ◽  
Leigh Charvet
Keyword(s):  
Multiple Sclerosis ◽  
Grip Strength ◽  
Upper Extremity ◽  
Static Fatigue ◽  
Healthy Controls ◽  
Fatigue Index ◽  
Left Hand ◽  
Right Hand ◽  
Computer Based ◽  
Pediatric Onset

Aim: To adopt a computer-based protocol to assess grip fatigability in patients with pediatric-onset multiple sclerosis to provide detection of subtle motor involvement identifying those patients most at risk for future decline. Method: Pediatric-onset multiple sclerosis patients were recruited during routine outpatient visits to complete a grip assessment and compared to a group of healthy age- and sex-matched controls. All participants completed a computer-based measurement of standard maximal grip strength and repetitive and sustained grip performance measured by dynamic and static fatigue indices. Results: A total of 38 patients with pediatric-onset multiple sclerosis and 24 healthy controls completed the grip protocol (right-hand dominant). There were no significant group differences in maximal grip strength bilaterally (right: 21.8 vs 19.9 kg, P = .25; left: 20.4 vs 18.7 kg, P = .33), although males with pediatric-onset multiple sclerosis were significantly less strong than healthy controls (right: 26.53 vs 21.23 kg, P = .009; left; 25.13 vs 19.63 kg, P = .003). Both dynamic and static fatigue indices were significantly higher bilaterally in pediatric-onset multiple sclerosis compared with healthy control participants (left-hand dynamic fatigue index: 18.6% vs 26.7%, P = .003; right-hand static fatigue index: 28.3% vs 41.3%, P < .001; left-hand static fatigue index: 31.9% vs 42.6%, P < .001). Conclusion: Brief repeatable grip assessment including measures of dynamic and sustained static output can be a sensitive indicator of upper extremity motor involvement in pediatric-onset multiple sclerosis, potentially identifying those in need of intervention to prevent future disability.

Decreased white matter integrity in fronto-occipital fasciculus bundles: Relation to visual information processing in alcohol-dependent subjects

Alcohol ◽  
2014 ◽  
Vol 48 (1) ◽  
pp. 43-53 ◽  
Author(s):  
Deepika Bagga ◽  
Aakansha Sharma ◽  
Archana Kumari ◽  
Prabhjot Kaur ◽  
Debajyoti Bhattacharya ◽  
...  
Keyword(s):  
Information Processing ◽  
White Matter ◽  
Visual Information ◽  
Visual Information Processing ◽  
White Matter Integrity ◽  
Alcohol Dependent

Machine learning to investigate superficial white matter integrity in early multiple sclerosis

2021 ◽  
Author(s):  
Korhan Buyukturkoglu ◽  
Christopher Vergara ◽  
Valentina Fuentealba ◽  
Ceren Tozlu ◽  
Jacob B. Dahan ◽  
...  
Keyword(s):  
Machine Learning ◽  
Multiple Sclerosis ◽  
White Matter ◽  
White Matter Integrity

Altered basal ganglia functional connectivity in multiple sclerosis patients with fatigue

2014 ◽  
Vol 21 (7) ◽  
pp. 925-934 ◽  
Author(s):  
C Finke ◽  
J Schlichting ◽  
S Papazoglou ◽  
M Scheel ◽  
A Freing ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
White Matter ◽  
Basal Ganglia ◽  
Functional Connectivity ◽  
Grey Matter ◽  
Matter Density ◽  
White Matter Integrity ◽  
Healthy Controls ◽  
Grey Matter Density ◽  
Fatigue Severity

Background: Fatigue is one of the most frequent and disabling symptoms in multiple sclerosis, but its pathophysiological mechanisms are poorly understood. It is in particular unclear whether and how fatigue relates to structural and functional brain changes. Objective: We aimed to analyse the association of fatigue severity with basal ganglia functional connectivity, basal ganglia volumes, white matter integrity and grey matter density. Methods: In 44 patients with relapsing–remitting multiple sclerosis and 20 age- and gender-matched healthy controls, resting-state fMRI, diffusion tensor imaging and voxel-based morphometry was performed. Results: In comparison with healthy controls, patients showed alteration of grey matter density, white matter integrity, basal ganglia volumes and basal ganglia functional connectivity. No association of fatigue severity with grey matter density, white matter integrity and basal ganglia volumes was observed within patients. In contrast, fatigue severity was negatively correlated with functional connectivity of basal ganglia nuclei with medial prefrontal cortex, precuneus and posterior cingulate cortex in patients. Furthermore, fatigue severity was positively correlated with functional connectivity between caudate nucleus and motor cortex. Conclusion: Fatigue is associated with distinct alterations of basal ganglia functional connectivity independent of overall disability. The pattern of connectivity changes suggests that disruption of motor and non-motor basal ganglia functions, including motivation and reward processing, contributes to fatigue pathophysiology in multiple sclerosis.

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