Literature DB >> 9627329

Preictal SPECT in temporal lobe epilepsy: regional cerebral blood flow is increased prior to electroencephalography-seizure onset.

C Baumgartner1, W Serles, F Leutmezer, E Pataraia, S Aull, T Czech, U Pietrzyk, A Relic, I Podreka.   

Abstract

UNLABELLED: Peri-ictal SPECT provides unique information on the dynamic changes in regional cerebral blood flow (rCBF) that occur during seizure evolution and, thus, could be useful in clarifying the poorly understood interplay of the interictal and ictal states in human focal epilepsy. The regional hyperperfusion observed on ictal SPECT is generally believed to be a consequence of electrical seizure activity. However, recent studies using invasive long-term cortical CBF monitoring have demonstrated that rCBF changes occur up to 20 min prior to ictal electroencephalography (EEG) onset. Because of apparent technical difficulties, no preictal SPECT studies have been reported so far. Therefore, we present our results on two patients with temporal lobe epilepsy in whom preictal SPECT scans were performed fortuitously under continuous video-EEG monitoring control.
METHODS: Technetium-99m-hexamethyl propyleneamine oxime was injected 11 min (Patient 1) and 12 min (Patient 2) before clinical and EEG seizure onset, as documented from simultaneous video-EEG monitoring in two patients with temporal lobe epilepsy. We obtained accurate anatomical reference of CBF changes visible on SPECT by a special coregistration technique of MRI and SPECT.
RESULTS: Whereas interictal SPECT showed a hypoperfusion of the temporal lobe ipsilateral to the seizure focus, on preictal SPECT, a significant increase in rCBF in the epileptic temporal lobe could be observed. These rCBF changes were not accompanied by any significant changes of the ongoing EEG.
CONCLUSION: Our study provides evidence that rCBF is increased in the epileptic temporal lobe several minutes before EEG seizure onset. Thus, rCBF changes observed on peri-ictal SPECT scan cannot be considered a mere consequence of EEG seizure activity but may rather reflect a change in neuronal activity precipitating the transition from the interictal to the ictal state.

Entities:  

Mesh:

Substances:

Year:  1998        PMID: 9627329

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  21 in total

1.  Seizure prediction: methods.

Authors:  Paul R Carney; Stephen Myers; James D Geyer
Journal:  Epilepsy Behav       Date:  2011-12       Impact factor: 2.937

Review 2.  Seizure prediction and its applications.

Authors:  Leon D Iasemidis
Journal:  Neurosurg Clin N Am       Date:  2011-10       Impact factor: 2.509

3.  Artifact reduction in long-term monitoring of cerebral hemodynamics using near-infrared spectroscopy.

Authors:  Sarah A Vinette; Jeff F Dunn; Edward Slone; Paolo Federico
Journal:  Neurophotonics       Date:  2015-05-26       Impact factor: 3.593

4.  Characterization of the relationship between intracranial pressure and electroencephalographic monitoring in burst-suppressed patients.

Authors:  Mark Connolly; Paul Vespa; Nader Pouratian; Nestor R Gonzalez; Xiao Hu
Journal:  Neurocrit Care       Date:  2015-04       Impact factor: 3.210

5.  Forecasting epilepsy from the heart rate signal.

Authors:  D H Kerem; A B Geva
Journal:  Med Biol Eng Comput       Date:  2005-03       Impact factor: 2.602

6.  GABAA Receptor Activity Suppresses the Transition from Inter-ictal to Ictal Epileptiform Discharges in Juvenile Mouse Hippocampus.

Authors:  Yan-Yan Chang; Xin-Wei Gong; Hai-Qing Gong; Pei-Ji Liang; Pu-Ming Zhang; Qin-Chi Lu
Journal:  Neurosci Bull       Date:  2018-08-20       Impact factor: 5.203

7.  Seizure prediction in patients with focal hippocampal epilepsy.

Authors:  Ardalan Aarabi; Bin He
Journal:  Clin Neurophysiol       Date:  2017-05-12       Impact factor: 3.708

8.  Characterization of the hemodynamic modes associated with interictal epileptic activity using a deformable model-based analysis of combined EEG and functional MRI recordings.

Authors:  Frédéric Grouiller; Laurent Vercueil; Alexandre Krainik; Christoph Segebarth; Philippe Kahane; Olivier David
Journal:  Hum Brain Mapp       Date:  2010-08       Impact factor: 5.038

9.  Noninvasive dynamic imaging of seizures in epileptic patients.

Authors:  Louise Tyvaert; Pierre LeVan; Francois Dubeau; Jean Gotman
Journal:  Hum Brain Mapp       Date:  2009-12       Impact factor: 5.038

10.  Heterogeneity of Preictal Dynamics in Human Epileptic Seizures.

Authors:  Anup DAS; Sydney S Cash; Terrence J Sejnowski
Journal:  IEEE Access       Date:  2020-03-16       Impact factor: 3.367

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.