ArticleBrain communications2023
Large-scale transient peri-ictal perfusion magnetic resonance imaging abnormalities detected by quantitative image analysis.
Article in Brain communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Quantitative assessment of apparent diffusion coefficient for neurological outcome prediction in status epilepticus: a pilot study.Scientific reports · 2026Article
- Brain perfusion imaging in patients with status epilepticus, seizures, and IIC patterns.Clinical neurophysiology practice · 2026Review
- Real-world experience of diagnosis, disability, and daily management in parents of children with different genetic developmental and epileptic encephalopathies: a qualitative study.Annals of medicine · 2025Article
- Neuronal current imaging of epileptic activity: An MRI study in patients with a first unprovoked epileptic seizure.Epilepsia open · 2024Observational
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epileptic seizures require a rapid and safe diagnosis to minimize the time from onset to adequate treatment. Some epileptic seizures can be diagnosed clinically with the respective expertise. For more subtle seizures, imaging is mandatory to rule out treatable structural lesions and potentially life-threatening conditions. MRI perfusion abnormalities associated with epileptic seizures have been reported in CT and MRI studies. However, the interpretation of transient peri-ictal MRI abnormalities is routinely based on qualitative visual analysis and therefore reader dependent. In this retrospective study, we investigated the diagnostic yield of visual analysis of perfusion MRI during ictal and postictal states based on comparative expert ratings in 51 patients. We further propose an automated semi-quantitative method for perfusion analysis to determine perfusion abnormalities observed during ictal and postictal MRI using dynamic susceptibility contrast MRI, which we validated on a subcohort of 27 patients. The semi-quantitative method provides a parcellation of 3D T
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