Publications by authors named "Gernot Hlauschek"

Epilepsy as a result of stroke is currently the most rapidly increasing form of epilepsy. The risk of post-stroke epileptogenesis is higher after haemorrhagic stroke than after ischemic stroke. We provide here a brief clinical review of the topic to highlight the misinterpretation and undertreatment of focal epileptic seizures in stroke patients.

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Stroke is one of the most common causes of acquired epilepsy, which can also result in disability and increased mortality rates particularly in elderly patients. No preventive treatment for post-stroke epilepsy is currently available. Development of such treatments has been greatly limited by the lack of biomarkers to reliably identify high-risk patients.

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Article Synopsis
  • The study aimed to assess the effectiveness of automated quantification of enlarged perivascular spaces (ePVS) in distinguishing chronic traumatic brain injury (TBI) patients with post-traumatic epilepsy (PTE) from those without it.
  • The researchers recruited 99 TBI participants and applied an ePVS identification algorithm to their MRI scans, revealing significant differences in ePVS counts between patients with unilateral brain lesions associated with PTE compared to those without epilepsy.
  • The findings suggest that automated ePVS quantification might be a useful tool for identifying potential biomarkers for PTE, although further research with larger groups is needed to confirm these results.
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Objective: To investigate the factors influencing enlarged perivascular space (EPVS) characteristics at the onset of acute ischemic stroke (AIS), and whether the PVS characteristics can predict later post-stroke epilepsy (PSE).

Methods: A total of 312 patients with AIS were identified, of whom 58/312 (18.6%) developed PSE.

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Background: The identification of hyperperfusion on ictal single-photon emission computed tomography (SPECT) scan is a technique for the localization of the epileptogenic zone (EZ) in patients with focal epilepsy undergoing presurgical evaluation. The accuracy of this technique has been improved by subtraction from an interictal image and coregistration with magnetic resonance imaging (MRI) (subtraction ictal SPECT coregistered to MRI (SISCOM)), and subsequently by the development of Statistical Ictal SPECT Co-registered to MRI (STATISCOM) which is reported to further improve localization accuracy by statistically accounting for random variation between images. However, the use of ictal SPECT is limited by the necessity for rapid injection of the radiotracer.

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