AIMC Topic: Evoked Potentials, Motor
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Machine learning allows expert level classification of intraoperative motor evoked potentials during neurosurgical procedures.
Computers in biology and medicine
Aug 21, 2024
OBJECTIVE: To develop and evaluate machine learning (ML) approaches for muscle identification using intraoperative motor evoked potentials (MEPs), and to compare their performance to human experts.
Machine learning approaches to predict whether MEPs can be elicited via TMS.
Journal of neuroscience methods
Aug 9, 2024
BACKGROUND: Transcranial magnetic stimulation (TMS) is a valuable technique for assessing the function of the motor cortex and cortico-muscular pathways. TMS activates the motoneurons in the cortex, which after transmission along cortico-muscular pat...
Transcranial Magnetic Stimulation-Based Machine Learning Prediction of Tumor Grading in Motor-Eloquent Gliomas.
Neurosurgery
Mar 21, 2024
BACKGROUND: Navigated transcranial magnetic stimulation (nTMS) is a well-established preoperative mapping tool for motor-eloquent glioma surgery. Machine learning (ML) and nTMS may improve clinical outcome prediction and histological correlation.
DELMEP: a deep learning algorithm for automated annotation of motor evoked potential latencies.
Scientific reports
May 22, 2023
The analysis of motor evoked potentials (MEPs) generated by transcranial magnetic stimulation (TMS) is crucial in research and clinical medical practice. MEPs are characterized by their latency and the treatment of a single patient may require the ch...
Modulation of corticospinal excitability related to the forearm muscle during robot-assisted stepping in humans.
Experimental brain research
Mar 17, 2023
In recent years, the neural control mechanisms of the arms and legs during human bipedal walking have been clarified. Rhythmic leg stepping leads to suppression of monosynaptic reflex excitability in forearm muscles. However, it is unknown whether an...
Reliability of active robotic neuro-navigated transcranial magnetic stimulation motor maps.
Experimental brain research
Dec 16, 2022
Transcranial magnetic stimulation (TMS) motor mapping is a safe, non-invasive method used to study corticomotor organization and intervention-induced plasticity. Reliability of resting maps is well established, but understudied for active maps and un...
Impaired phase synchronization of motor-evoked potentials reflects the degree of motor dysfunction in the lesioned human brain.
Human brain mapping
Feb 24, 2022
The functional corticospinal integrity (CSI) can be indexed by motor-evoked potentials (MEP) following transcranial magnetic stimulation of the motor cortex. Glial brain tumors in motor-eloquent areas are frequently disturbing CSI resulting in differ...
Emerging of new bioartificial corticospinal motor synergies using a robotic additional thumb.
Scientific reports
Sep 16, 2021
It is likely that when using an artificially augmented hand with six fingers, the natural five plus a robotic one, corticospinal motor synergies controlling grasping actions might be different. However, no direct neurophysiological evidence for this ...
Development and Validation of a Novel Calibration Methodology and Control Approach for Robot-Aided Transcranial Magnetic Stimulation (TMS).
IEEE transactions on bio-medical engineering
Apr 21, 2021
OBJECTIVE: This article presents the development and validation of a new robotic system for Transcranial Magnetic Stimulation (TMS), characterized by a new control approach, and an ad-hoc calibration methodology, specifically devised for the TMS appl...
Behavioral and neurophysiological effects of an intensified robot-assisted therapy in subacute stroke: a case control study.
Journal of neuroengineering and rehabilitation
Jan 11, 2021
BACKGROUND: Physical training is able to induce changes at neurophysiological and behavioral level associated with performance changes for the trained movements. The current study explores the effects of an additional intense robot-assisted upper ext...
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