Focality in Febrile Seizures: A Retrospective Assessment Using Arterial Spin Labeling MRI
Jung Sook Yeom1,2, Young-Soo Kim2,3, Dae-Seob Choi2,4
1Department of Pediatrics, Gyeongsang National University of Hospital, Jinju, South Korea.
Insights
Focality in febrile seizures (FS) is common, often originating in the temporal regions. Arterial spin labeling (ASL) aids in assessing FS focality, especially for unknown seizure onsets.
Area of Science:
- Neurology
- Pediatric Neurology
- Neuroimaging
Background:
- Focality of febrile seizures (FS) lacks clear definition in clinical practice.
- Postictal arterial spin labeling (ASL) offers a potential method to investigate FS focality.
Purpose of the Study:
- To investigate focality issues in febrile seizures using postictal ASL.
- To determine the utility of ASL in assessing seizure origin and characteristics.
Main Methods:
- Retrospective review of 77 children with FS undergoing brain MRI with ASL within 24 hours of seizure onset.
- Visual analysis of ASL data to identify perfusion changes and their correlation with clinical factors.
Main Results:
- Perfusion changes were observed in 57% of patients, predominantly hypoperfusion in temporal regions.
- Focality was associated with focal-onset and unknown-onset seizures, and prolonged seizures.
- Seizure semiology focality positively correlated with observed perfusion changes.
Conclusions:
- Focality appears common in febrile seizures, with a potential origin in the temporal lobes.
- Arterial spin labeling is a valuable tool for assessing focality in FS, particularly when seizure onset is unknown.
Purpose:
Defining focality of febrile seizures (FS) in clinical practice remains controversial. We investigated focality issues in FS with a postictal arterial spin labeling (ASL) sequence.
Methods:
We retrospectively reviewed 77 children (median: 19.0 months, range: 15.0-33.0 months) who consecutively visited our emergency room for FS and underwent brain magnetic resonance imaging (MRI), including the ASL sequence, within 24 hours of seizure onset. ASL data were visually analyzed to assess perfusion changes. Factors related to the perfusion changes were investigated.
Results:
The mean time to ASL acquisition was 7.0 (interquartile range: 4.0-11.0) hours. The most common seizure classification was unknown-onset seizures (n = 37, 48%), followed by focal-onset (n = 26, 34%) and generalized-onset seizures (n = 14, 18%). Perfusion changes were observed in 43 (57%) patients: most were hypoperfusion (n = 35, 83%). The temporal regions were the most common location of perfusion changes (n = 26, 60%); the majority of these were distributed in the unilateral hemisphere. Perfusion changes were independently associated with seizure classification (focal-onset seizures, adjusted odds ratio [aOR]: 9.6, p = 0.01; unknown-onset seizures aOR: 10.4, p < 0.01), and prolonged seizures (aOR: 3.1, p = 0.04), but not with other factors (age, sex, time to MRI acquisition, previous FS, repeated FS within 24 hour, family history of FS, structural abnormality on MRI, and developmental delay). The focality scale of seizure semiology positively correlated with perfusion changes (R = 0.334, p < 0.01).
Conclusion:
Focality in FS may be common, and its primary origin might be the temporal regions. ASL can be useful for assessing focality in FS, particularly when seizure onset is unknown.
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