Thesis etd-04222018-172934 |
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Thesis type
Tesi di laurea magistrale LM6
URN
etd-04222018-172934
Thesis title
Role of Central Fatigue in Myotonic Dystrophy Type 1: a Brain MRI Study
Department
RICERCA TRASLAZIONALE E DELLE NUOVE TECNOLOGIE IN MEDICINA E CHIRURGIA
Course of study
MEDICINA E CHIRURGIA
Supervisors
.
relatore Prof. Siciliano, Gabriele
Keywords
- central fatigue
- central nervous system
- fatigue
- FSS
- MRI
- Myotonic dystrophy
- Steinert
Graduation session start date
15/05/2018
Availability
Withheld
Release date
15/05/2088
Abstract (Inglese)
Abstract (Italiano)
Myotonic dystrophy type 1 (DM1), also known as Steinert’s myotonic dystrophy is the most common muscular dystrophy in the adulthood, as its incidence is 1:8.000.
DM1 is a multisystem disorder, indeed, impairment in other organs such as heart, eyes, endocrine system, central and peripheral nervous systems, gastrointestinal organs, bones, and skin has been identified, making a multidisciplinary approach crucial for the long-term clinical management of the patients.
The main muscular symptoms include myotonia phenomenon, weakness, and fatigue. Fatigue is the most common complaint of DM1 patients and can be described as any decline, reversible, in muscle performance associated with muscle activity.
Fatigue can be divided into two components: peripheral and central. In this study, we investigate the correlation between the fatigue experienced by patients and assessed by the fatigue severity scale (FSS) and 3 Tesla MRI images.
DM1 is a multisystem disorder, indeed, impairment in other organs such as heart, eyes, endocrine system, central and peripheral nervous systems, gastrointestinal organs, bones, and skin has been identified, making a multidisciplinary approach crucial for the long-term clinical management of the patients.
The main muscular symptoms include myotonia phenomenon, weakness, and fatigue. Fatigue is the most common complaint of DM1 patients and can be described as any decline, reversible, in muscle performance associated with muscle activity.
Fatigue can be divided into two components: peripheral and central. In this study, we investigate the correlation between the fatigue experienced by patients and assessed by the fatigue severity scale (FSS) and 3 Tesla MRI images.
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