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	<title>Seizure Prediction &#8211; BIOENGINEER.ORG</title>
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	<title>Seizure Prediction &#8211; BIOENGINEER.ORG</title>
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		<title>Postictal EEGs: Predicting Seizure Recurrence Insights</title>
		<link>https://bioengineer.org/postictal-eegs-predicting-seizure-recurrence-insights/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Fri, 09 Jan 2026 18:26:55 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[**Etiketler:** Postictal EEG]]></category>
		<category><![CDATA[Biomarkers for Seizures **Virgülle Ayrılmış Hali:** `Postictal EEG]]></category>
		<category><![CDATA[Biomarkers for Seizures` ### Seçim Gerekçeleri: 1. **Postictal EEG** → Araştırmanın temel]]></category>
		<category><![CDATA[Epilepsy Management]]></category>
		<category><![CDATA[Machine learning in neurology]]></category>
		<category><![CDATA[Seizure Prediction]]></category>
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					<description><![CDATA[In a groundbreaking study led by researchers Hasnaoui and Djebbari, the potential of postictal electroencephalography (EEG) in predicting seizure recurrence is being analyzed with unprecedented depth. The significance of EEG in understanding brain activity patterns following seizures has been observed, yet the intricate relationship between these postictal states and subsequent seizures remains largely unexplored. This [&#8230;]]]></description>
		
		
		
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