Sensorimotor Integration During Motor Learning: Transcranial Magnetic Stimulation Studies

WOS: 000419359800015PubMed ID: 29321712The effect of sensory signals coming from skin and muscle afferents on the sensorimotor cortical networks is entitled as sensory-motor integration (SMI). SMI can be studied electrophysiologically by the motor cortex excitability changes in response to peripheral sensory stimulation. These changes include the periods of short afferent inhibition (SAI), afferent facilitation (AF), and late afferent inhibition (LAI). During the early period of motor skill acquisition, motor cortex excitability increases and changes occur in the area covered by the relevant zone of the motor cortex. In the late period, these give place to the morphological changes, such as synaptogenesis. SAI decreases during learning the motor skills, while LAI increases during motor activity. In this review, the role of SMI in the process of motor learning and transcranial magnetic stimulation techniques performed for studying SMI is summarized

Quantitative Electromyography of the Frontalis Muscle

Purpose: Identification of abnormal motor unit potentials (MUP), in particular those caused by myopathic processes, is generally difficult in facial muscles because the MUPs are already low in amplitude and short in duration. Therefore, quantitative measures for the limits of abnormality are needed more frequently for these muscles, especially for the pathological processes predominantly affecting the craniofacial area. In this study, we aimed to determine some quantitative values that may help us to differentiate "myogenic" and "neurogenic" processes in periocular muscles

Development of a Method to Analyze Compound Action Potential (CMAP) Scan Used in the Diagnosis and Monitoring of Neuromuscular Diseases Nöromüsküler Hastaliklarin Tani ve İzleminde Kullanilan Birleşik Kas Aksiyon Potansiyeli (BKAP) Taramasi Analizine Yönelik Bir Yöntemin Geliştirilmesi

Motor Unit Number Estimate (MUNE) is a quantitative method which has been developed to determine the axon number as close as possible to the real axon number. It is used to assess and to monitor neuromuscular diseases such as anterior horn diseases. The Electrophysiological muscle scan is based on recording Compound Muscle Action Potentials (CMAPs) as response of the muscles innervated by the nerves being stimulated by gradually increased electrical currents. The purpose of this study is to develop a method which will ensure the MUNE by the analysis of the data obtained via electrohysiological muscle scan. CMAPs which were generetaed as a result of gradual stimulation in simulator software were recorded. The absolute values of the differences of CMAPs and the ratio of the mean of these values to the maximum CMAP value were computed through a software created in MATLAB to calculate MUNE values. Hence, it was intended to determine the relationship between the real axon count and MUNE

Development of a Method to Analyze Compound Action Potential (CMAP) Scan Used in the Diagnosis and Monitoring of Neuromuscular Diseases

Göker, İmran (Arel Author)Motor Unit Number Estimate (MUNE) is a quantitative method which has been developed to determine the axon number as close as possible to the real axon number. It is used to assess and to monitor neuromuscular diseases such as anterior horn diseases. The Electrophysiological muscle scan is based on recording Compound Muscle Action Potentials (CMAPs) as response of the muscles innervated by the nerves being stimulated by gradually increased electrical currents. The purpose of this study is to develop a method which will ensure the MUNE by the analysis of the data obtained via electrohysiological muscle scan. CMAPs which were generetaed as a result of gradual stimulation in simulator software were recorded. The absolute values of the differences of CMAPs and the ratio of the mean of these values to the maximum CMAP value were computed through a software created in MATLAB to calculate MUNE values. Hence, it was intended to determine the relationship between the real axon count and MUN