ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2021
Visualizing prolonged hyperperfusion in post-stroke epilepsy using postictal subtraction SPECT.
Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Temporal Variability Analysis of Cortical Blood Flow in Rats with Hyperacute Cerebral Ischemia.Neuroscience bulletin · 2026Article
- Association of Cortical Superficial Siderosis with Post-Stroke Epilepsy.Annals of neurology · 2023Article
- Plasma Homocysteine (Hcy) Concentration Functions as a Predictive Biomarker of SPECT-Evaluated Post-Ischemic Hyperperfusion in Acute Ischemic Stroke.Pharmacogenomics and personalized medicine · 2023Article
- Detection of ictal and periictal hyperperfusion with subtraction of ictal-interictal 1.5-Tesla pulsed arterial spin labeling images co-registered to conventional magnetic resonance images (SIACOM).Surgical neurology international · 2023Article
- Recent advances and perspectives of postoperative neurological disorders in the elderly surgical patients.CNS neuroscience & therapeutics · 2022Review
- Clinical Characteristics and Gene Mutation Analysis of Poststroke Epilepsy.Contrast media & molecular imaging · 2022Article
- Developing an Asymmetry Method for Detecting Postictal Hyperperfusion in Poststroke Epilepsy.Frontiers in neurology · 2022Article
- Poststroke Seizure and Epilepsy: A Review of Incidence, Risk Factors, Diagnosis, Pathophysiology, and Pharmacological Therapies.Oxidative medicine and cellular longevity · 2022Review
- Antiseizure medications for post-stroke epilepsy: A real-world prospective cohort study.Brain and behavior · 2021Article
- Inclusion of quasi-vertex views in a brain-dedicated multi-pinhole SPECT system for improved imaging performance.Physics in medicine and biology · 2021Article
- A machine learning model for predicting post-stroke epilepsy risk by integrating multimodal EEG-fMRI and clinical biomarkers.Frontiers in neurologyArticle
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diagnosis of post-stroke epilepsy is often challenging because of a low incidence of epileptiform abnormalities on electroencephalography (EEG). Hence, this study evaluated whether postictal subtraction single-photon emission computed tomography (SPECT) could visualize epileptic activity and act as a diagnostic modality in post-stroke epilepsy. Fifty post-stroke epilepsy patients, who had undergone Tc-99m-ECD SPECT twice (postictal and interictal), were enrolled. The postictal hyperperfusion area was identified by subtraction (postictal-interictal) SPECT and classified into two distribution types: superficial or deep-seated. Laterality and distribution of postictal hyperperfusion on subtraction SPECT were compared with stroke lesions, seizure symptoms, and epileptiform EEG findings. Forty-three of the 50 patients (86%) had hyperperfusion on subtraction SPECT and 26 (52%) had epileptiform EEG findings. Subtraction SPECT showed prolonged postictal hyperperfusion despite the relatively long interval between seizure end and postictal SPECT (median: 19.1 h, range: 2.2-112.5 h). The laterality of the hyperperfusion area had a high concordance rate with the laterality of stroke lesions (97.7%), seizure symptoms (91.9%), and epileptiform EEG findings (100%). Scalp EEG identified epileptiform activity more frequently in superficial type of SPECT, but less frequently in deep-seated type (both,
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