Results 61 to 70 of about 9,090 (242)
Predictive factors for neurological deterioration after surgical decompression for thoracic ossified yellow ligament [PDF]
, 2017 postprin
Cheung, JPY +6 more
core +1 more source
Intraoperative neurophysiological monitoring in spinal surgery
World Journal of Clinical Cases, 2015 Recently, many surgeons have been using intraoperative neurophysiological monitoring (IOM) in spinal surgery to reduce the incidence of postoperative neurological complications, including level of the spinal cord, cauda equina and nerve root. Several established technologies are available and combined motor and somatosensory evoked potentials are ...
Seung-Jae Hyun, Jong-Hwa Park
openaire +3 more sources
Annals of Neurology, EarlyView.Objective Impaired ability to induce stepping after incomplete spinal cord injury (SCI) can limit the efficacy of locomotor training, often leaving patients wheelchair‐bound. The cuneiform nucleus (CNF), a key mesencephalic locomotor control center, modulates the activity of spinal locomotor centers via the reticulospinal tract.
Anna‐Sophie Hofer +21 more
wiley +1 more source
Clinical Electroencephalography for Anesthesiologists [PDF]
, 2017 The widely used electroencephalogram-based indices for depth-of-Anesthesia monitoring assume that the same index value defines the same level of unconsciousness for all anesthetics.
Brown, Emery Neal +3 more
core +1 more source
Epilepsia Open, EarlyView.Abstract Objective Deep brain stimulation (DBS) of the anterior thalamic nucleus (ATN) and hippocampus is an emerging therapy for drug‐resistant epilepsy (DRE) when resective surgery is not feasible. We aimed to evaluate the long‐term cognitive outcomes of these two DBS targets, hypothesizing that both interventions preserve cognitive function ...
Seonjeong Kim +5 more
wiley +1 more source
Kyphosis – A risk factor for positioning brachial plexopathy during spinal surgeries
Acta Orthopaedica et Traumatologica Turcica, 2019 Objective: The aim of this study was to evaluate the differences in transcranial electric motor-evoked potentials – TceMEP on upper limbs and the incidences of postoperative brachial plexopathy between patients with kyphotic and scoliotic trunk shapes ...
Mirza Biscevic +6 more
doaj +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Epilepsia 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
Intraoperative neurophysiological monitoring team's communiqué with anesthesia professionals
Journal of Anaesthesiology Clinical Pharmacology, 2018 Background and Aims: Intraoperative neurophysiological monitoring (IONM) is the standard of care during many spinal, vascular, and intracranial surgeries.
Anurag Tewari +6 more
doaj +1 more source
Research progress on the depth of anesthesia monitoring based on the electroencephalogram
Ibrain, Volume 11, Issue 1, Page 32-43, Spring 2025.Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley +1 more source
Review of various intraoperative neurophysiologic monitoring techniques [PDF]
, 2016 IONM is use to monitoring nervous tissues (including brain, spinal cord, cranial nerves and peripheral nerves) in real-time during surgeries, alert neurological injuries and corrective measures and prevent disability.
Ali, Liaquat +2 more
core +1 more source