scholarly journals Supplementary Sensorimotor Area. Edited by Hans O. Lüders, Lippincott-Raven Publishers, Philadelphia 1966, 512 pp.

1996 ◽  
Vol 9 (2) ◽  
pp. 105-105
Author(s):  
R. A. Grünewald
Keyword(s):  
Sensorimotor Area

scholarly journals Practical prognostic score for predicting the extent of resection and neurological outcome of gliomas in the sensorimotor area

2018 ◽  
Vol 164 ◽  
pp. 25-31 ◽  
Author(s):  
Giannantonio Spena ◽  
Federico D’Agata ◽  
Pier Paolo Panciani ◽  
Luciano Buttolo ◽  
Michela Buglione di Monale Bastia ◽  
...  
Keyword(s):  
Neurological Outcome ◽  
Prognostic Score ◽  
Extent Of Resection ◽  
Sensorimotor Area

scholarly journals The Influence of Filters on EEG-ERP Testing: Analysis of Motor Cortex in Healthy Subjects

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7711
Author(s):  
Ilona Karpiel ◽  
Zofia Kurasz ◽  
Rafał Kurasz ◽  
Klaudia Duch
Keyword(s):  
Gold Standard ◽  
Healthy Subjects ◽  
Data Interpretation ◽  
Eeg Signal ◽  
Sensorimotor Area ◽  
Eeg Data ◽  
Reduction Methods ◽  
Characteristic Values ◽  
No Gold Standard ◽  
Correct Data

The raw EEG signal is always contaminated with many different artifacts, such as muscle movements (electromyographic artifacts), eye blinking (electrooculographic artifacts) or power line disturbances. All artifacts must be removed for correct data interpretation. However, various noise reduction methods significantly influence the final shape of the EEG signal and thus its characteristic values, latency and amplitude. There are several types of filters to eliminate noise early in the processing of EEG data. However, there is no gold standard for their use. This article aims to verify and compare the influence of four various filters (FIR, IIR, FFT, NOTCH) on the latency and amplitude of the EEG signal. By presenting a comparison of selected filters, the authors intend to raise awareness among researchers as regards the effects of known filters on latency and amplitude in a selected area—the sensorimotor area.

scholarly journals Effect of Mechanical Stimulation Applied to the Lower-Limb Musculature on Stability and Function of Stair Climbing

2020 ◽  
Vol 10 (3) ◽  
pp. 799
Author(s):  
Seunghun Ko ◽  
Kiyoung Kwak ◽  
Huigyun Kim ◽  
Dongwook Kim
Keyword(s):  
Lower Limb ◽  
Mechanical Vibration ◽  
Stair Climbing ◽  
Dynamic Movement ◽  
Sensorimotor Area ◽  
Co Activation ◽  
Muscle Tendon Vibration ◽  
Muscle Activations ◽  
The Stability ◽  
And Function

Mechanical muscle-tendon vibration affects musculature and the nervous system. As the vibrations used in previous studies were varied, consistently determining the effect of mechanical vibration was challenging. Additionally, only a few studies have applied vibrations to dynamic motion. This study investigated whether the vibration based on the sensorimotor response could affect the stability and function of stair climbing. Electroencephalogram (EEG) signals were recorded from the sensorimotor area, and mu rhythms, dependent on the vibration frequencies, were analyzed. Based on the analysis, the vibratory stimulus conditions were set and applied to the Achilles tendon of the lower limb during stair climbing. Simultaneously, electromyogram (EMG) signals from the gastrocnemius lateralis (GL), gastrocnemius medialis (GM), soleus (SOL), and tibialis anterior (TA) were recorded. Activations and co-activations of the shank muscles were analyzed according to the phases of stair climbing. When vibration was applied, the TA activation decreased in the pull-up (PU) phase, and calf muscle activations increased during the forward continuous (FCN) phase. These changes and their degrees differ significantly between stimulus conditions (p < 0.05). Co-activation changes, which differed significantly with conditions (p < 0.05), appeared mostly in the PU. These results imply that the vibration affects stability and function of stair climbing, suggesting that the vibration characteristics should be considered when they are applied to dynamic movement.

scholarly journals Bilateral asymmetric tonic seizure in insulo-opercular epilepsy: an anatomo-electro-clinical study

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Xiangshu Hu ◽  
Kaihui Li ◽  
Xiao Wang ◽  
Ping Yang ◽  
Qinghua Tan ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Clonic Seizure ◽  
Tonic Seizure ◽  
Seizure Semiology ◽  
Intracerebral Eeg ◽  
Autonomic Changes ◽  
Sensorimotor Area ◽  
High Prevalence ◽  
Classical Pattern ◽  
Kendall Correlation

Abstract Background Insulo-opercular seizures are highly heterogeneous in seizure semiology and electrical features. Bilateral asymmetric limb posturing, as a classical pattern of supplementary sensorimotor area (SMA) seizure, also occurs in insulo-opercular epilepsy. This study was aimed to study the anatomo-electro-clinical correlations in bilateral asymmetric tonic seizures (BATS), in order to advance the understanding of insulo-opercular epilepsy. Methods Eight patients with insulo-opercular epilepsy as confirmed by stereoelectroencephalography (SEEG) and manifesting BATS as the major ictal motor sign, in Guangdong Sanjiu Brain Hospital Epilepsy Center from 2014 to 2018, were employed in this study. The BATS of the patients were evaluated, and the semiologic features and concomitant intracerebral EEG changes were quantified. Then the variables were examined with Cluster Analysis, and the semiologic features were correlated with anatomic localization using the Kendall correlation test. Results Of the 8 patients, the most frequent initial motor sign was bilateral asymmetric tonic posturing (62.5%). Facial tonic-clonic sign also had a high prevalence in the evolution of seizures (87.5%). The results of Cluster Analysis showed that the semiologic features were subdivided into two main groups, one group comprising exclusively BATS and the other including signs of focal tonic seizure, aura, focal limb tonic-clonic seizure (TCS), facial TCS, hypermotor behavior, eye movement, autonomic changes and generalized TCS. The BATS was strongly associated with the posterior long gyrus (PLG) of insula (t = 0.732) and parietal operculum (t = 1.000); the hypermotor behaviors were associated with the anterior long gyrus (ALG) (t = 0.770); and the autonomic changes were associated with the anterior limiting sulcus (ALS) (t = 0.734) and middle short gyrus (MSG) (t = 0.700). Conclusions The seizure semiology of insulo-opercular epilepsy is characterized, in temporal order, by BATS, with or without simultaneous hypermotor behaviors, and frequently ends up with facial tonic-clonic signs, which is different from that of the SMA seizure. The early spread network involving the posterior insular lobe and parietal operculum may contribute to this pattern of manifestation.

scholarly journals Can a highly accurate multi-class SSMVEP BCI induce sensory-motor rhythm in sensorimotor area?

2020 ◽  
Author(s):  
Xin Zhang ◽  
Guanghua Xu ◽  
Aravind Ravi ◽  
Sarah Pearce ◽  
Ning Jiang
Keyword(s):  
Sensorimotor Area ◽  
Sensory Motor ◽  
Motor Rhythm

Advances in Neurology, Volume 70, Supplementary Sensorimotor Area

Neurology ◽  
1998 ◽  
Vol 50 (3) ◽  
pp. 839-839
Author(s):  
A. S. Blum ◽  
F. W. Drislane
Keyword(s):  
Sensorimotor Area

scholarly journals The Effect of Movement Amplitude on Activation in Functional Magnetic Resonance Imaging Studies

1999 ◽  
Vol 19 (11) ◽  
pp. 1209-1212 ◽  
Author(s):  
Daniel Waldvogel ◽  
Peter van Gelderen ◽  
Kenji Ishii ◽  
Mark Hallett
Keyword(s):  
Supplementary Motor Area ◽  
Premotor Cortex ◽  
Normal Subjects ◽  
Blood Oxygen Level Dependent ◽  
Intensity Increase ◽  
Movement Amplitude ◽  
Blood Oxygen Level ◽  
Sensorimotor Area ◽  
Areas Of Interest ◽  
System Movement

To evaluate the effect of movement amplitude on the “blood oxygen level-dependent effect,” the authors studied six normal subjects while they extended their index finger with two different amplitudes, Images were analyzed using SPM96, In five subjects, the signal intensity increase in the primary sensorimotor area was significantly greater with the larger amplitude movement. In other areas of interest (supplementary motor area, premotor cortex, insula, postcentral area, cerebellum), the large-amplitude movement often showed significant activation when the small-amplitude movement did not. The authors conclude that, in studies of the motor system, movement amplitude needs to be controlled.

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