ArticleIEEE transactions on bio-medical engineering2019
An Algorithm for Automated, Noninvasive Detection of Cortical Spreading Depolarizations Based on EEG Simulations.
Article in IEEE transactions on bio-medical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Electroconvulsive therapy generates a postictal wave of spreading depolarization in mice and humans.Nature communications · 2025Article
- Proof-of-concept validation of noninvasive detection of cortical spreading depolarization with high-resolution direct current-electroencephalography with future device recommendations.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Noninvasive and reliable automated detection of spreading depolarization in severe traumatic brain injury using scalp EEG.Communications medicine · 2023Article
- Oxyhemoglobin and Cerebral Blood Flow Transients Detect Infarction in Rat Focal Brain Ischemia.Neuroscience · 2023Article
- Traumatic Brain Injury (TBI) Detection: Past, Present, and Future.Biomedicines · 2022Review
- Numerical Simulation of Concussive-Generated Cortical Spreading Depolarization to Optimize DC-EEG Electrode Spacing for Noninvasive Visual Detection.Neurocritical care · 2022Article
- Cortical Spreading Depolarizations and Clinically Measured Scalp EEG Activity After Aneurysmal Subarachnoid Hemorrhage and Traumatic Brain Injury.Neurocritical care · 2022Article
- Neural silences can be localized rapidly using noninvasive scalp EEG.Communications biology · 2021Article
- IRIS: A Modular Platform for Continuous Monitoring and Caretaker Notification in the Intensive Care Unit.IEEE journal of biomedical and health informatics · 2020Article
- An Algorithm for Automated, Noninvasive Detection of Cortical Spreading Depolarizations Based on EEG Simulations.IEEE transactions on bio-medical engineering · 2019Article
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7 authors.
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Abstract
objectiveWe present a novel signal processing algorithm for automated, noninvasive detection of cortical spreading depolarizations (CSDs) using electroencephalography (EEG) signals and validate the algorithm on simulated EEG signals. CSDs are waves of neurochemical changes that suppress the neuronal activity as they propagate across the brain's cortical surface. CSDs are believed to mediate secondary brain damage after brain trauma and cerebrovascular diseases like stroke. We address the following two key challenges in detecting CSDs from EEG signals: i) attenuation and loss of high spatial resolution information; and ii) cortical folds, which complicate tracking CSD waves.
methodsOur algorithm detects and tracks "wavefronts" of a CSD wave, and stitch together data across space and time to make a detection. To test our algorithm, we provide different models of CSD waves, including different widths of CSD suppressions and different patterns, and use them to simulate scalp EEG signals using head models of four subjects. RESULTS AND
conclusionOur results suggest that low-density EEG grids (40 electrodes) can detect CSD widths of 1.1 cm on average, while higher density EEG grids (340 electrodes) can detect CSD patterns as thin as 0.43 cm (less than minimum widths reported in prior works), among which single-gyrus CSDs are the hardest to detect because of their small suppression area. SIGNIFICANCE: The proposed algorithm is a first step toward noninvasive, automated detection of CSDs, which can help in reducing secondary brain damages.
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