ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2013
Forward and inverse electroencephalographic modeling in health and in acute traumatic brain injury.
Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed, 31 citations in OpenAlex.
- 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
- Review
- Use of the auditory brainstem response for assessment of cochlear synaptopathy in humans.The Journal of the Acoustical Society of America · 2021Review
- Automated Head Tissue Modelling Based on Structural Magnetic Resonance Images for Electroencephalographic Source Reconstruction.Neuroinformatics · 2021Article
- Acute cognitive impairment after traumatic brain injury predicts the occurrence of brain atrophy patterns similar to those observed in Alzheimer's disease.GeroScience · 2021Article
- 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
- Brain networks and their relevance for stroke rehabilitation.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2019Review
- Article
- Cerebral microhemorrhages due to traumatic brain injury and their effects on the aging human brain.Neurobiology of aging · 2018Review
- 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
- Rapid acquisition of auditory subcortical steady state responses using multichannel recordings.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2014Article
- 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
- Electroencephalographic inverse localization of brain activity in acute traumatic brain injury as a guide to surgery, monitoring and treatment.Clinical neurology and neurosurgery · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveEEG source localization is demonstrated in three cases of acute traumatic brain injury (TBI) with progressive lesion loads using anatomically faithful models of the head which account for pathology.
methodsMultimodal magnetic resonance imaging (MRI) volumes were used to generate head models via the finite element method (FEM). A total of 25 tissue types-including 6 types accounting for pathology-were included. To determine the effects of TBI upon source localization accuracy, a minimum-norm operator was used to perform inverse localization and to determine the accuracy of the latter.
resultsThe importance of using a more comprehensive number of tissue types is confirmed in both health and in TBI. Pathology omission is found to cause substantial inaccuracies in EEG forward matrix calculations, with lead field sensitivity being underestimated by as much as ≈ 200% in (peri-) contusional regions when TBI-related changes are ignored. Failing to account for such conductivity changes is found to misestimate substantial localization error by up to 35 mm.
conclusionsChanges in head conductivity profiles should be accounted for when performing EEG modeling in acute TBI. SIGNIFICANCE: Given the challenges of inverse localization in TBI, this framework can benefit neurotrauma patients by providing useful insights on pathophysiology.
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.