Objective: To evaluate whether electroencephalography (EEG) recovery could be considered a reliable marker of brain injury after experimental hypothermic circulatory arrest (HCA).
Design: Cortical electrical activity was registered before and after a 75-min period of HCA in 27 pigs that survived 7 days after the experiment. The sum of EEG bursts was counted as a percentage of the sum of artifact-free bursts and suppressions, and this percentage was used as a measure of EEG activity in the analysis.
Results: Brain infarction developed in 13 animals (48.1%), in 12 cases (44.4%) having involved the cortex, in 1 case the thalamus (3.7%) and in another the hippocampus (3.7%). The mean EEG burst percentage significantly correlated with the total brain histopathological score (rho = -0.588, P = 0.001). EEG burst percentage from the 2 h 20 min to the 7 h 20 min interval correlated with the total brain histopathological score and with the cortex, brainstem and cerebellum scores. The mean EEG burst percentage rate was higher, but not significantly, among the animals without brain infarction (38.5% vs 32.4%), but such a difference was significant at the 3 h 20 min postoperative interval (P = 0.02). The mean EEG burst percentage significantly correlated with brain glucose concentration at the 1 h interval (rho = 0.387; P = 0.046), brain lactate concentration at the 2 h interval (rho = -0.431; P = 0.025), and the brain lactate/glucose ratio at the 1 h 30 min interval from the start of rewarming (rho = -0.433; P = 0.024).
Conclusion: A decreased EEG burst percentage seems to be associated with an increased risk of developing histologically evident brain ischemic injury in the cortex, brainstem and cerebellum after experimental HCA.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1080/14017430310006956 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Nonconvulsive status epilepticus in patients under intensive care: Should we view epilepsy as a sleep disorder?
Epilepsia
January 2025
Epilepsy Unit, Gui de Chauliac Hospital, Montpellier, France.
Nonconvulsive status epilepticus (NCSE) was initially described in patients with typical and atypical absence status epilepticus (ASE) characterized by states of confusion varying in severity and in focal epilepsies with or without alteration of consciousness. Continuous EEG monitoring of critically ill patients has further refined the classification of NCSE into two main categories: with coma and without coma. Hypnotic, soporific or somniferous epileptic seizures do not exist.
View Article and Find Full Text PDFEEG alpha activity as predictor for TBS-rTMS treatment outcome in depression.
J Psychiatr Res
January 2025
Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Psychiatry, Zürich, Lenggstrasse 31, P.O. Box 363, 8032, Zürich, Switzerland.
Repetitive transcranial magnetic stimulation (rTMS) is an established psychiatric procedure for patients suffering from treatment-resistant depression (TRD). Biomarker identification to predict rTMS outcomes may assist the clinician in optimizing treatment selection. In recent years, different electrophysiological markers, in particular electroencephalographic (EEG) markers, were shown to yield discriminative power between responders and non-responders to various TRD treatments.
View Article and Find Full Text PDFProbing the Neurodynamic Mechanisms of Cognitive Flexibility in Depressed Individuals with Autism Spectrum Disorder.
J Child Adolesc Psychopharmacol
January 2025
Division of Child and Adolescent Psychiatry, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Autism spectrum disorder (ASD) is characterized by deficits in social behavior and executive function (EF), particularly in cognitive flexibility. Whether transcranial magnetic stimulation (TMS) can improve cognitive outcomes in patients with ASD remains an open question. We examined the acute effects of prefrontal TMS on cortical excitability and fluid cognition in individuals with ASD who underwent TMS for refractory major depression.
View Article and Find Full Text PDFDeveloping an EEG-based model to predict awakening after cardiac arrest using partial processing with the BIS Engine.
Anesthesiology
January 2025
Department of Anesthesiology, Brigham and Women's Hospital and Harvard Medical School, Boston MA, USA.
Introduction: Accurate prognostication in comatose survivors of cardiac arrest is a challenging and high-stakes endeavor. We sought to determine whether internal EEG subparameters extracted by the Bispectral Index (BIS) monitor, a device commonly used to estimate depth-of-anesthesia intraoperatively, could be repurposed to predict recovery of consciousness after cardiac arrest.
Methods: In this retrospective cohort study, we trained a 3-layer neural network to predict recovery of consciousness to the point of command following versus not based on 48 hours of continuous EEG recordings in 315 comatose patients admitted to a single US academic medical center after cardiac arrest (Derivation cohort: N=181; Validation cohort: N=134).
Myoclonus After Cardiac Arrest: Need for Standardization-A Systematic Review and Research Proposal on Terminology.
Crit Care Med
November 2024
Department of Neurology, Neurocritical Care and Neurorehabilitation, Christian Doppler University Hospital, Paracelsus Medical University, Member of the European Reference Network EpiCARE, Salzburg, Austria.
Objectives: Although myoclonus less than or equal to 72 hours after cardiac arrest (CA) is often viewed as a single entity, there is considerable heterogeneity in its clinical and electrophysiology characteristics, and its strength of association with outcome. We reviewed definitions, electroencephalogram, and outcome of myoclonus post-CA to assess the need for consensus and the potential role of electroencephalogram for further research.
Data Sources: PubMed, Embase, and Cochrane databases.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!