Results 31 to 40 of about 4,659 (173)

Updates on intraoperative neurophysiological monitoring

open access: yesChinese Journal of Contemporary Neurology and Neurosurgery, 2020
Intraoperative neurophysiological monitoring (IONM) is known to monitor the functional integrity of the nervous system and reflect the existence of nerve injury through the application of various neurophysiological techniques to protect neural structures
Jian-guo ZHANG, Hui QIAO
doaj  

A guide to neuromodulation in drug‐resistant epilepsy

open access: yesEpileptic Disorders, EarlyView.
Abstract Neuromodulation is approved for the treatment of drug‐resistant epilepsy. It has been increasingly utilized over the past two decades with the approval of deep brain stimulation (DBS) and responsive neurostimulation (RNS) in addition to vagus nerve stimulation (VNS)—particularly in patients who are not deemed to be good resective surgical ...
Prachi Parikh   +10 more
wiley   +1 more source

FORMALIZING THE RESULTS OF INTRAOPERATIVE NEUROPHYSIOLOGICAL MONITORING OF THE MOTOR PATHWAYS INTO THE SPINAL CORD DURING THE SURGICAL CORRECTION OF SPINAL DEFORMITIES

open access: yesВестник хирургии имени И.И. Грекова, 2018
OBJECTIVE. systematization of the electrophysiological phenomena observed during the intraoperative neuro-monitoring with subsequent development of the grading system for results of neuro-physiological testing of pyramidal tract, convenient for surgeon ...
M. S. Saifutdinov   +3 more
doaj   +1 more source

Pediatric epilepsy surgery: Global survey of invasive explorations

open access: yesEpilepsia, EarlyView.
Abstract Objective Invasive presurgical evaluation plays a key role in pediatric epilepsy surgery, particularly in magnetic resonance imaging (MRI)‐negative cases, by guiding resective, disconnective, or ablative procedures. This International League Against Epilepsy (ILAE) Pediatric Epilepsy Surgery Taskforce study provides an updated global overview ...
Georgia Ramantani   +96 more
wiley   +1 more source

Intraoperative neurophysiological monitoring for the anaesthetist [PDF]

open access: yesSouthern African Journal of Anaesthesia and Analgesia, 2013
Intraoperative neurophysiological monitoring (IONM) has become the gold  standard for the monitoring of functional nervous tissue and mapping of eloquent brain tissue during neurosurgical procedures. The multimodal use  of somatosensory-evoked potentials and motor-evoked potentials ensures adequate monitoring of  anterior sensory and dorsal motor ...
Van Der Walt, JJN   +2 more
openaire   +2 more sources

Paroxysmal slow waves mark ictal networks

open access: yesEpilepsia, EarlyView.
Abstract Objective Epilepsy diagnosis and treatment monitoring are hindered by the episodic, heterogeneous expression of seizures and by normal‐appearing scalp electroencephalography (EEG) in many patients. We previously described paroxysmal slow‐wave events (PSWEs), brief epochs of broadband slowing detectable on EEG in people with epilepsy.
Florent J. M. Boyer‐Aymé   +13 more
wiley   +1 more source

Intraoperative Neurophysiology Monitoring for Spinal Dysraphism [PDF]

open access: yesJournal of Korean Neurosurgical Society, 2021
Spinal dysraphism often causes neurological impairment from direct involvement of lesions or from cord tethering. The conus medullaris and lumbosacral roots are most vulnerable. Surgical intervention such as untethering surgery is indicated to minimize or prevent further neurological deficits.
openaire   +2 more sources

Intraoperative Neurophysiological Monitoring During Resection of Posterior Fossa Lesions

open access: yesPakistan Armed Forces Medical Journal, 2023
Objective: To study the benefits of intraoperative neurophysiological monitoring during the resection of posterior fossa lesions. Study Design: Cross-sectional study.
Memoona Ejaz   +10 more
doaj   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

open access: yesEpilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida   +5 more
wiley   +1 more source

Surgical removal of peripheral nerve schwannoma with intraoperative neurophysiological monitoring

open access: yesJournal of the Scientific Society, 2019
Schwannomas are the most common peripheral nerve tumors arising from neural sheath. They account for
Prakash Chandragouda Bharamagoudar   +1 more
doaj   +1 more source

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