PATTERN OF INTERICTAL HYPOMETABOLISM IN PET SCANS WITH FLUDEOXYGLUCOSE F-18 REFLECTS PRIOR SEIZURE TYPES IN PATIENTS WITH MESIAL TEMPORAL-LOBE SEIZURES
I. Savic et al., PATTERN OF INTERICTAL HYPOMETABOLISM IN PET SCANS WITH FLUDEOXYGLUCOSE F-18 REFLECTS PRIOR SEIZURE TYPES IN PATIENTS WITH MESIAL TEMPORAL-LOBE SEIZURES, Archives of neurology, 54(2), 1997, pp. 129-136
Background: Interictal hypometabolism is routinely used as an indicato
r of the epileptogenic zone in patients with complex partial seizures
(CPSs). However, the regional pattern of hypometabolism varies without
obvious reasons, even among patients with identical epileptogenic zon
es and causes. Objective: To investigate whether this pattern may be r
elated to the electroencephalographic and clinical features of the sei
zure that precedes the positron emission tomographic (PET) scan with f
ludeoxyglucose F 18. Patients and Methods: Fifty-three patients with C
PSs were first classified into 4 groups, depending on the features of
the seizure that preceded the PET scan (determined from findings from
electroencephalography and video telemetry). In 14 patients, this seiz
ure was focal limbic (characterized by aurae or staring spells); in 18
, the CPS was widespread limbic (including automatisms). Ten patients
had a CPS with posturing, and 11 had a secondarily generalized CPS. Re
gions with a hemisphere-normalized concentration of fludeoxyglucose F
18 below the 95% confidence interval of values from 8 control subjects
were defined as hypometabolic. The location of these regions was then
compared among the 4 groups, and the degree of hypometabolism was rel
ated to the time from the seizure to the PET scan with fludeoxyglucose
F 18. Results: The hypometabolic area was limited to the epileptogeni
c zone if the preceding seizure was focal limbic, whereas in patients
with widespread limbic seizures, it included one or several additional
areas of the limbic cortex (P = .03). Patients with posturing differe
d from both previous groups by having hypometabolism in the extralimbi
c frontal lobe (P < .001), and subjects with secondarily generalized s
eizures differed from all others because of cerebellar (P < .001) and
parietal lobe (P < .05) reductions. The time between the seizure and t
he performance of the PET scan did not correlate with the degree or ex
tent of hypometabolism. Conclusions: Mechanisms involved in the genera
tion of a seizure that precedes a PET scan with fludeoxyglucose F 18 s
eem to influence the ''interictal'' hypometabolic pattern. Therefore,
caution should be used when interpreting scans that are preceded by a
nonhabitual seizure.