Relationship between cerebral perfusion and EEG in the rat brain

Oommen, Kalarickal J.; Oommen, Joseph; Lie, Donald Y. C.; Imam, Senay; Chyu, Ming‐Chien; Zhang, Y.

doi:10.1109/ner.2011.5910516

Cited by 2 publications

(1 citation statement)

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“…Further, Oommen et al [62] demonstrated the dynamism of the peri-ictal CBF in 46 patients using video-EEG and monitored inter-ictal, peri-ictal, and immediately postictal CBF with SPECT, which corroborated the observation they reported in 1997 using TDF probes [14]. More recently, Oommen et al reported changes of CBF in a rat monitored by EEG and laser Doppler flowmetry (LDF), demonstrating an increase in cerebral perfusion with the onset of the epileptiform electrical discharge and CBF restoring to the basal level within several minutes after the seizure [63]. The study provided an independent confirmation of the changes in CBF related to epileptic seizure observed by Weinand et al [14].…”

Section: Comparison Of Epilepsy Studies Using Tdf With Other Studiessupporting

confidence: 75%

Epileptic Seizure Detection and Prediction Based on Continuous Cerebral Blood Flow Monitoring – a Review

Tewolde

Oommen

Lie³

et al. 2015

Journal of Healthcare Engineering

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Epilepsy is the third most common neurological illness, affecting 1% of the world's population. Despite advances in medicine, about 25 to 30% of the patients do not respond to or cannot tolerate the severe side effects of medical treatment, and surgery is not an option for the majority of patients with epilepsy. The objective of this article is to review the current state of research on seizure detection based on cerebral blood flow (CBF) data acquired by thermal diffusion flowmetry (TDF), and CBF-based seizure prediction. A discussion is provided on the applications, advantages, and disadvantages of TDF in detecting and localizing seizure foci, as well as its role in seizure prediction. Also presented are an overview of the present challenges and possible future research directions (along with methodological guidelines) of the CBF-based seizure detection and prediction methods.

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Section: Comparison Of Epilepsy Studies Using Tdf With Other Studiessupporting

confidence: 75%