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Background: Our recent report showed that 1.5-T pulsed arterial spin labeling (ASL) magnetic resonance (MR) perfusion imaging (1.5-T Pulsed ASL [PASL]), which is widely available in the field of neuroemergency, is useful for detecting ictal hyperperfusion. However, the visualization of intravascular ASL signals, namely, arterial transit artifact (ATA), is more remarkable than that of 3-T pseudocontinuous ASL and is easily confused with focal hyperperfusion. To eliminate ATA and enhance the detectability of (peri) ictal hyperperfusion, we developed the subtraction of ictal-interictal 1.5-T PASL images co-registered to conventional MR images (SIACOM).
Methods: We retrospectively analyzed the SIACOM findings in four patients who underwent ASL during both (peri) ictal and interictal states and examined the detectability for (peri) ictal hyperperfusion.
Results: In all patients, the ATA of the major arteries was almost eliminated from the subtraction image of the ictal-interictal ASL. In patients 1 and 2 with focal epilepsy, SIACOM revealed a tight anatomical relationship between the epileptogenic lesion and the hyperperfusion area compared with the original ASL image. In patient 3 with situation-related seizures, SIACOM detected minute hyperperfusion at the site coinciding with the abnormal electroencephalogram area. SIACOM of patient 4 with generalized epilepsy diagnosed ATA of the right middle cerebral artery, which was initially thought to be focal hyperperfusion on the original ASL image.
Conclusion: Although it is necessary to examine several patients, SIACOM can eliminate most of the depiction of ATA and clearly demonstrate the pathophysiology of each epileptic seizure.
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http://dx.doi.org/10.25259/SNI_723_2022 | DOI Listing |
Epilepsia
August 2025
Epilepsy Center Hessen, Department of Neurology, Philipps University Marburg, Marburg, Germany.
Objective: To assess and compare the detection rates of peri-ictal abnormalities using magnetic resonance imaging (MRI) and computed tomography perfusion (CTP) in patients with non-convulsive status epilepticus (NCSE).
Methods: We conducted a systematic literature search in five databases up to February 2025. Studies reporting peri-ictal MRI abnormalities (PMAs) or cerebral perfusion abnormalities (CPAs) in patients with NCSE were included.
Clin Neurophysiol
August 2025
Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy; Neurophysiology Unit and Epilepsy Center, AOU Modena, Italy. Electronic address:
Breathing can be disrupted by pathological neurological conditions, such as seizures. Ictal respiratory changes comprise central or obstructive apnea, tachypnea, bradypnea, hypoventilation, and hypoxemia. Ictal central apnea (ICA) has been described in association with focal seizures, especially of temporal origin, occurring in 36%-40% of ictal events.
View Article and Find Full Text PDFNeurology
August 2025
Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Italy.
Background And Objectives: Postconvulsive central apnea has emerged as a contributor to sudden unexplained death in epilepsy. The aim of this study was to evaluate the incidence and characteristics of postictal central apnea (PICA) in focal seizures. The secondary aim was to analyze morphometric features of the amygdala and other subcortical structures involved in autonomic control.
View Article and Find Full Text PDFJ Clin Med
June 2025
Neuroradiology Department, 'Magna Graecia' University, 88100 Catanzaro, Italy.
The radiological finding of Dark White Matter (DWM)-characteristic diffuse subcortical white matter hypointensity on T2/FLAIR sequences-is underrecognized, but has important clinical implications. Recent systematic evidence shows that over 60% of previously published cases showed seizures in association with DWM findings-it is also particularly predictive of the underlying etiology, particularly non-ketotic hyperglycemic hyperosmolar state (NKH). Based on our previous work, we reinterpret the data, focusing only on patients with seizures and DWM, to summarize the most essential and distinguishing features of these patients.
View Article and Find Full Text PDFSeizure
August 2025
Department of Artificial Intelligence Convergence, Graduate School, Pukyong National University, Busan, Republic of Korea.
Background: Peri-ictal MRI (PMA) and EEG abnormalities (PEA) may predict the outcomes and responses to anti-seizure medications (ASMs) in patients with status epilepticus (SE).
Methods: The inclusion criteria were as follows: (1) patients with SE aged >18 years, (2) peri‑ictal MRI including DWI and FLAIR, (3) peri‑ictal EEG, (4) well-documented medical records, and (5) recruitment between January 2016 and December 2023. Patients with hypoxic-ischemic encephalopathy as the etiology were excluded.