Background: Fatigue is one of the most common symptoms of multiple sclerosis (MS), significantly affecting the functioning of the patients. However, the neural underpinnings of physical and mental fatigue in MS are still vague. The aim of our study was to investigate the functional architecture of resting-state networks associated with fatigue in patients with MS.
Methods: The sum of 107 high-functioning patients underwent a resting-state scanning session and filled out the 9-item Fatigue Severity Scale (FSS). Based on the FSS score, we identified patients with different levels of fatigue using the cluster analysis. The low-fatigue group consisted of = 53 subjects, while the high-fatigue group = 48. The neuroimaging data were analyzed in terms of functional connectivity (FC) between various resting-state networks as well as amplitude of low-frequency fluctuation (ALFF) and fractional amplitude of low-frequency fluctuations (fALFF).
Results: Two-sample -test revealed between-group differences in FC of posterior salience network (SN). No differences occurred in default mode network (DMN) and sensorimotor network (SMN). Moreover, differences in fALFF were shown in the right middle frontal gyrus and right superior frontal gyrus, however, no ALFF differences took place.
Conclusion: Current study revealed significant functional network (FN) architecture between-group differences associated with fatigue. Present results suggest the higher level of fatigue is related to deficits in awareness as well as higher interoceptive awareness and nociception.
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http://dx.doi.org/10.3389/fnhum.2022.852981 | DOI Listing |
Adv Sci (Weinh)
January 2025
Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325000, China.
The dysfunction of stress granules (SGs) plays a crucial role in the pathogenesis of various neurological disorders, with T cell intracellular antigen 1 (TIA1) being a key component of SGs. However, the role and mechanism of TIA1-mediated SGs in experimental autoimmune encephalomyelitis (EAE) remain unclear. In this study, upregulation of TIA1, its translocation from the nucleus to the cytoplasm, and co-localization with G3BP1 (a marker of SGs) are observed in the spinal cord neurons of EAE mice.
View Article and Find Full Text PDFJ Am Acad Orthop Surg
January 2025
From the Department of Orthopaedic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA (Lim, Sayeed, Bedair, and Melnic), and the Department of Orthopaedic Surgery, Newton-Wellesley Hospital, Newton, MA (Lim, Sayeed, Bedair, and Melnic).
Introduction: Multiple sclerosis (MS) may negatively influence the patient-reported outcomes measures (PROMs) when undergoing total knee arthroplasty (TKA). However, functional outcomes in this select population remains poorly characterized. This study aimed to compare clinical outcomes and rate of achieving Minimal Clinically Important Difference for Improvement (MCID-I) and Minimal Clinically Important Difference for Worsening (MCID-W) between MS and non-MS TKAs.
View Article and Find Full Text PDFNeurology
January 2025
Department of Neuroinflammation, Queen Square MS Centre, UCL Queen Square Insitute of Neurology, University College London, United Kingdom; and.
JA Clin Rep
January 2025
Department of Pain Clinic, NTT Medical Center Tokyo, 5-9-22 Higashi-Gotanda, Shinagawa-Ku, Tokyo, 141-8625, Japan.
Background: Bilateral trigeminal neuralgia secondary to multiple sclerosis is an extremely rare condition. When Gasserian ganglion block is performed, it is necessary to achieve reliable long-term analgesic effects while avoiding treatment-related complications.
Case Presentation: A 49-year-old male with multiple sclerosis exhibited persistent dull pain and paroxysmal electric shock-like pain in his bilateral maxillary molars and mandible.
Neurology
February 2025
Health Services Research Program, Department of Neurology, University of Michigan, Ann Arbor; and.
Background And Objectives: Timely access to specialist care is crucial in expeditious diagnosis and treatment. Our study aimed to assess the time patients wait from being referred by a physician to seeing a neurologist using Medicare data. Specifically, we evaluated differences in access related to sex, race/ethnicity, geography, and availability of neurologists.
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