ArticleClinical neurology and neurosurgery2013
Electroencephalographic inverse localization of brain activity in acute traumatic brain injury as a guide to surgery, monitoring and treatment.
Article in Clinical neurology and neurosurgery, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 30 citations in OpenAlex.
- Brain-Adhesive Bioelectronics With Shape-Morphable and Biodegradable Properties for Stable Brain Signal Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Neuroinformatics and Analysis of Traumatic Brain Injury and Related Conditions.Neuroinformatics · 2024Article
- Mild Traumatic Brain Injury Results in Significant and Lasting Cortical Demyelination.Frontiers in neurology · 2022Article
- Functional Connectome Dynamics After Mild Traumatic Brain Injury According to Age and Sex.Frontiers in aging neuroscience · 2022Article
- Acute cognitive deficits after traumatic brain injury predict Alzheimer's disease-like degradation of the human default mode network.GeroScience · 2020Article
- Neuroimaging and Psychometric Assessment of Mild Cognitive Impairment After Traumatic Brain Injury.Frontiers in psychology · 2020Review
- Influence of Patient-Specific Head Modeling on EEG Source Imaging.Computational and mathematical methods in medicine · 2020Article
- Cerebral microhemorrhages due to traumatic brain injury and their effects on the aging human brain.Neurobiology of aging · 2018Review
- Multimodal monitoring combined with hypothermia for the management of severe traumatic brain injury: A case report.Experimental and therapeutic medicine · 2018Article
- Alterations in neurovascular coupling following acute traumatic brain injury.Neurophotonics · 2017Article
- Mobile Monitoring of Traumatic Brain Injury in Older Adults: Challenges and Opportunities.Neuroinformatics · 2017Article
- Bedside functional brain imaging in critically-ill children using high-density EEG source modeling and multi-modal sensory stimulation.NeuroImage. Clinical · 2016Article
- Epileptogenic focus localization in treatment-resistant post-traumatic epilepsy.Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia · 2015Review
- Traumatic brain injury detection using electrophysiological methods.Frontiers in human neuroscience · 2015Review
- Mapping brain injury with symmetrical-channels' EEG signal analysis--a pilot study.Scientific reports · 2014Article
- Neuroinformatics challenges to the structural, connectomic, functional and electrophysiological multimodal imaging of human traumatic brain injury.Frontiers in neuroinformatics · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveTo inverse-localize epileptiform cortical electrical activity recorded from severe traumatic brain injury (TBI) patients using electroencephalography (EEG).
methodsThree acute TBI cases were imaged using computed tomography (CT) and multimodal magnetic resonance imaging (MRI). Semi-automatic segmentation was performed to partition the complete TBI head into 25 distinct tissue types, including 6 tissue types accounting for pathology. Segmentations were employed to generate a finite element method model of the head, and EEG activity generators were modeled as dipolar currents distributed over the cortical surface.
resultsWe demonstrate anatomically faithful localization of EEG generators responsible for epileptiform discharges in severe TBI. By accounting for injury-related tissue conductivity changes, our work offers the most realistic implementation currently available for the inverse estimation of cortical activity in TBI.
conclusionWhereas standard localization techniques are available for electrical activity mapping in uninjured brains, they are rarely applied to acute TBI. Modern models of TBI-induced pathology can inform the localization of epileptogenic foci, improve surgical efficacy, contribute to the improvement of critical care monitoring and provide guidance for patient-tailored treatment. With approaches such as this, neurosurgeons and neurologists can study brain activity in acute TBI and obtain insights regarding injury effects upon brain metabolism and clinical outcome.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.