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Neuropsychological Deficits in Patients with Electrical Status Epilepticus During Sleep: A Non-invasive Analysis of Neurovascular Coupling.
Neuropsychological Deficits in Patients with Electrical Status Epilepticus During Sleep: A Non-invasive Analysis of Neurovascular Coupling.
- Source :
- Brain Topography; May2020, Vol. 33 Issue 3, p375-383, 9p
- Publication Year :
- 2020
-
Abstract
- To evaluate the effects of electrical status epilepticus during sleep (ESES) on cerebral blood flow (CBF) and explore the associated neuro-vascular coupling and neuropsychological deficits. 19 ESES patients were recruited to undergo real-time transcranial doppler ultrasonography (TCD) and video-EEG monitoring (vEEG). Patients were grouped based on their cognitive functions or their EEG patterns. The mean cerebral blood flow velocity (CBFV<subscript>m</subscript>) of the unilateral middle cerebral artery was measured using TCD and was used to calculate various relevant parameters. The 19 patients participated in a total of 54 effective TCD–vEEG monitoring sessions. We found a significant effect of clinical severity for the following measurements: spike wave index (SWI), peak and average deep sleep stage (N3) CBFV<subscript>m</subscript>, peak, average and minimum deep sleep and awake CBFV<subscript>m</subscript>, and CBFV<subscript>m</subscript> oscillations during deep sleep. Nevertheless, CBFV<subscript>m</subscript> oscillations were not related to SWI. Furthermore, CBFV<subscript>m</subscript> oscillations revealed a statistically significant difference between the near-ESES and asymmetric-ESES groups. CBFV<subscript>m</subscript> oscillations may reflect the neuro-vascular coupling process associated with ESES disfunction. Understanding the relationship between CBFV<subscript>m</subscript> oscillations and epileptic activity will be important for assessing the neuropsychological damage associated with ESES and for developing treatment options for this and other diseases. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 08960267
- Volume :
- 33
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Brain Topography
- Publication Type :
- Academic Journal
- Accession number :
- 142886468
- Full Text :
- https://doi.org/10.1007/s10548-020-00759-4