Objectives: We estimated the cost-effectiveness of adding magnetoencephalography to a standard assessment for epilepsy surgery consisting of neuropsychology, magnetic resonance imagining, scalp electroencephalography, video electroencephalography and intracranial electroencephalography, in the capacity of informing intracranial electroencephalography electrode placement.
Methods: We used Microsoft Excel (2007) to construct a decision model. Discounted costs and quality adjusted life years are aggregated to calculate incremental cost-effectiveness ratios. Sensitivity analyses are conducted to assess robustness of findings.
Results: Our base case analysis yielded a result of $14 300 per quality adjusted life year gained. A total of 82.7% of probabilistic sensitivity analysis iterations resulted in incremental cost-effectiveness ratios below $100 000 in 2014 Canadian dollars.
Conclusions: Our findings demonstrate that the inclusion of Magnetoencephalography in the assessment for epilepsy surgery in the capacity of informing intracranial electroencephalography electrode placement is likely not cost saving but does represent a reasonable allocation of resources from a value for money perspective.
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http://dx.doi.org/10.1111/jep.12567 | DOI Listing |
Epilepsia
January 2025
Department of Neurology, The University of Alabama at Birmingham, Birmingham, Alabama, USA.
Objective: Temporal encephaloceles (TEs) are seen in patients with drug-resistant epilepsy (DRE); yet they are also common incidental findings. Variability in institutional pre-surgical epilepsy practices and interpretation of epileptogenic network localization contributes to bias in existing epilepsy cohorts with TE, and therefore the relevance of TE in DRE remains controversial. We sought to estimate effect sizes and sample sizes necessary to demonstrate clinically relevant improvements in seizure outcome with different surgical approaches.
View Article and Find Full Text PDFComput Biol Med
January 2025
Servicio de Terapia Intensiva de Adultos, Hospital Italiano de Buenos Aires, Tte. Gral. Juan Domingo Perón 4190, Ciudad Autonoma de Buenos Aires, C1199ACL, Argentina.
Intracranial hypertension (ICH) is a common and critical condition in neurocritical care, often requiring immediate intervention. Current methods for continuous intracranial pressure (ICP) monitoring are invasive and costly, limiting their use in resource-limited settings. This study investigates the potential of the electroencephalography (EEG) as a non-invasive alternative for ICP monitoring.
View Article and Find Full Text PDFJ Neural Eng
January 2025
Department of Neurology, Northwestern University Feinberg School of Medicine, 320 East Superior St, Chicago, IL 60611, USA, Chicago, Illinois, 60611, UNITED STATES.
Brain-machine interfaces (BMIs) have advanced greatly in decoding speech signals originating from the speech motor cortices. Primarily, these BMIs target individuals with intact speech motor cortices but who are paralyzed by disrupted connections between frontal cortices and their articulators due to brainstem stroke or motor neuron diseases such as amyotrophic lateral sclerosis. A few studies have shown some information outside the speech motor cortices, such as in parietal and temporal lobes, that also may be useful for BMIs.
View Article and Find Full Text PDFMethodsX
June 2025
Medical College of Wisconsin, Department of Neurosurgery, 8701 Watertown Plank Road, Milwaukee, WI, 53226.
Electrographic recording of brain activity through either surface electrodes (electroencephalography, EEG) or implanted electrodes (electrocorticography, ECOG) are valuable research tools in neuroscience across many disciplines, including epilepsy, sleep science and more. Research techniques to perform recordings in rodents are wide-ranging and often require custom parts that may not be readily available. Moreover, the information required to connect individual components is often limited and can therefore be challenging to implement.
View Article and Find Full Text PDFProc Int Brain Comput Interface Conf
September 2024
Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.
In this study, we developed and validated an online analysis framework in MATLAB Simulink for recording and analysis of intracranial electroencephalography (iEEG). This framework aims to detect interictal spikes in patients with epilepsy as the data is being recorded. An online spike detection was performed over 10-minute interictal iEEG data recorded with Brain Interchange CorTec in three human subjects.
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