Epileptic patterns of local cerebral metabolism and perfusion in humans determined by emission computed tomography of ¹⁸FDG and ¹³NH₃

Abstract

Abstract Seventeen patients with partial epilepsy had electroencephalographic (EEG) monitoring concurrent with cerebral positron emission computed tomography (PECT) after 18 F‐fluorodeoxyglucose ( 18 FDG) and 13 N‐ammonia ( 13 NH 3 ) were given intravenously as indicators of local cerebral glucose utilization (LCMR glc ) and relative perfusion, respectively. In 12 of 15 patients who had unilateral or focal electrical abnormalities, interictal 18 FDG scan patterns clearly showed localized regions of decreased (14 to 58%) LCMR glc that correlated anatomically with the eventual EEG localization. These hypometabolic zones appeared normal on x‐ray computed tomography in all but 3 patients and were unchanged on 18 FDG scans repeated on different days. In 5 of 6 patients who underwent anterior temporal lobectomy the interictal 18 FDG scan correctly detected the pathologically confirmed lesion as a hypometabolic zone, and removal of the lesion site resulted in marked clinical improvement. In contrast, the ictal 18 FDG scan patterns clearly showed foci of increased (82 to 130%) LCMR glc that correlated temporally and anatomically with ictal EEG spike foci and were within the zones of interictal hypometabolism (three studies in 2 patients). 13 NH 3 distributions paralleled 18 FDG increases and decreases in abnormal zones, but 13 NH 3 differences were of lesser magnitude. When the relationship of 13 NH 3 uptake to local blood flow found in dog brain was applied as a correction to the patients' 13 NH 3 scan data, local alterations in perfusion and glucose utilization were usually matched in both the interictal and the ictal state. We conclude that the interictal 18 FDG‐PECT scan is useful in aiding localization of the dysfunctional cerebral zone most likely to be responsible for seizures in patients being considered for anterior temporal lobectomy. With further development, emission computed tomography may help in better categorizing the various forms of the disorder and in elucidating the basic mechanisms of epilepsy in humans.

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