Epilepsy and brain injury: A case report of a dramatic neuropsychiatric vicious circle

Rapinesi, Chiara; Casale, Antonio Del; Serata, Daniele; Kotzalidis, Georgios D.; Scatena, Paola; Muzi, Antonio; Lazanio, Simone; Savoja, Valeria; Carbonetti, Paolo; Fensore, Claudio; Ferracuti, Stefano; Angeletti, Gloria; Tatarelli, Roberto; Girardi, Paolo

doi:10.3109/02699052.2013.775489

Cited by 3 publications

(1 citation statement)

References 39 publications

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“…Epilepsy is a clinical syndrome caused by abnormal discharge in the cerebral cortex. In addition to the risk of accidents, the frequent recurrence of seizures may easily lead to mental illnesses [ 1 ]. Preoperative evaluation and localization of epileptic foci depends on the regional distribution of lesions, especially in surgery for refractory epilepsy [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

NeuroGam Software Analysis in Epilepsy Diagnosis Using 99mTc-ECD Brain Perfusion SPECT Imaging

Zhang

Gao

et al. 2015

Med Sci Monit

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BackgroundThe aim of this study was to explore the value of NeuroGam software in diagnosis of epilepsy by 99Tcm-ethyl cysteinate dimer (ECD) brain imaging.Material/MethodsNeuroGam was used to analyze 52 cases of clinically proven epilepsy by 99Tcm-ECD brain imaging. The results were compared with EEG and MRI, and the positive rates and localization to epileptic foci were analyzed.ResultsNeuroGam analysis showed that 42 of 52 epilepsy cases were abnormal. 99Tcm-ECD brain imaging revealed a positive rate of 80.8% (42/52), with 36 out of 42 patients (85.7%) clearly showing an abnormal area. Both were higher than that of brain perfusion SPECT, with a consistency of 64.5% (34/52) using these 2 methods. Decreased regional cerebral blood flow (rCBF) was observed in frontal (18), temporal (20), and parietal lobes (2). Decreased rCBF was seen in frontal and temporal lobes in 4 out of 36 patients, and in temporal and parietal lobes of 2 out of 36 patients. NeuroGam further showed that the abnormal area was located in a different functional area of the brain. EEG abnormalities were detected in 29 out of 52 patients (55.8%) with 16 cases (55.2%) clearly showing an abnormal area. MRI abnormalities were detected in 17 out of 43 cases (39.5%), including 9 cases (52.9%) clearly showing an abnormal area. The consistency of NeuroGam software analysis, and EEG and MRI were 48.1% (25/52) and 34.9% (15/43), respectively.ConclusionsNeuroGam software analysis offers a higher sensitivity in detecting epilepsy than EEG or MRI. It is a powerful tool in 99Tcm-ECD brain imaging.

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Section: Introductionmentioning

confidence: 99%