Muhannad M Alsharidah1,2,3,4, Mohammad Uzair1,2,3,4, Sarah S Alseneidi1,2,3,4, Afnan A Alkharan1,2,3,4, Reem Fahd Bunyan1,2,3,4, Shahid Bashir1,2,3,4. 1. Drs. Alsharidah and Alseneidi are with the College of Medicine, King Saud University in Riyadh, Saudi Arabia. 2. Mr. Uzair is with the Department of Biological Sciences, Faculty of Basic and Applied Sciences, International Islamic University in Islamabad, Pakistan. 3. Dr. Alkharan is with the College of Medicine, Princess Nourah Bint Abdulrahman University in Riyadh, Saudi Arabia. 4. Drs. Bunyan and Bashir are with the Neuroscience Center, King Fahad Specialist Hospital in Dammam, Saudi Arabia.
Abstract
Objective: Multiple sclerosis (MS) is a chronic, immune-mediated inflammatory disease of the central nervous system (CNS) characterized by demyelination, axonal degeneration, and cognitive impairment. It also has an important impact on the quality of life of patients and their family members. We sought to determine if transcranial magnetic stimulation (TMS) is a valid instrument for determining disease progression activity in patients with MS. Methods: A literature search of the PubMed database was conducted using the terms "multiple sclerosis," "transcranial magnetic stimulation," and "neurophysiological parameters." Results: Neurophysiological parameters, such as sensitivity to demyelination and the strength of excitatory and inhibitory synaptic interactions in the cerebral cortex, can be identified through TMS in patients affected by MS. These objective parameters can be correlated with the progression of disease and provide reliable indices for the severity of illness and the efficacy of drugs used to treat MS in clinical trials. Conclusion: The discovery of specific and detailed neurophysiological parameters as surrogate endpoints for disease activity could represent an important step in clinical trials. Changes in cortical connectivity have already been demonstrated in MS, but in clinical practice, other measures are typically used to evaluate disease activity. We speculate that TMS might be more effective in identifying disease progression that leads to long-term disability, compared to standard surrogate markers, since it represents a direct measure of synaptic transmission(s) in MS.
Objective: Multiple sclerosis (MS) is a chronic, immune-mediated inflammatory disease of the central nervous system (CNS) characterized by demyelination, axonal degeneration, and cognitive impairment. It also has an important impact on the quality of life of patients and their family members. We sought to determine if transcranial magnetic stimulation (TMS) is a valid instrument for determining disease progression activity in patients with MS. Methods: A literature search of the PubMed database was conducted using the terms "multiple sclerosis," "transcranial magnetic stimulation," and "neurophysiological parameters." Results: Neurophysiological parameters, such as sensitivity to demyelination and the strength of excitatory and inhibitory synaptic interactions in the cerebral cortex, can be identified through TMS in patients affected by MS. These objective parameters can be correlated with the progression of disease and provide reliable indices for the severity of illness and the efficacy of drugs used to treat MS in clinical trials. Conclusion: The discovery of specific and detailed neurophysiological parameters as surrogate endpoints for disease activity could represent an important step in clinical trials. Changes in cortical connectivity have already been demonstrated in MS, but in clinical practice, other measures are typically used to evaluate disease activity. We speculate that TMS might be more effective in identifying disease progression that leads to long-term disability, compared to standard surrogate markers, since it represents a direct measure of synaptic transmission(s) in MS.
Authors: Xiaojie Huang; Sophia K Stodieck; Bianka Goetze; Lei Cui; Man Ho Wong; Colin Wenzel; Leon Hosang; Yan Dong; Siegrid Löwel; Oliver M Schlüter Journal: Proc Natl Acad Sci U S A Date: 2015-05-26 Impact factor: 11.205
Authors: Joo-Yup Lee; Thomas J Parisi; Patricia F Friedrich; Allen T Bishop; Alexander Y Shin Journal: Microsurgery Date: 2014-05-14 Impact factor: 2.425