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Distinguishing Subtypes of Temporal Lobe Epilepsy with Background Hippocampal Activity

Purpose: Two subtypes of temporal lobe epilepsy (TLE) can be defined through clinical observations and analysis of hippocampal tissue resected during surgical procedures for intractable TLE: (a) mesial temporal sclerosis (MTS), which is characterized by extensive changes to the hippocampus and good...

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Published in:Epilepsia (Copenhagen) 2001-06, Vol.42 (6), p.725-730
Main Authors: Zaveri, Hitten P., Duckrow, Robert B., De Lanerolle, Nihal C., Spencer, Susan S.
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description Purpose: Two subtypes of temporal lobe epilepsy (TLE) can be defined through clinical observations and analysis of hippocampal tissue resected during surgical procedures for intractable TLE: (a) mesial temporal sclerosis (MTS), which is characterized by extensive changes to the hippocampus and good surgical outcome; and (b) paradoxical temporal lobe epilepsy (PTLE), which is characterized by minimal cell loss and comparatively poorer surgical outcome. Patients in both subtypes have seizures that appear to begin in the medial temporal lobe, but documented differences in substrate and outcome between these subtypes has defined a need to distinguish MTS and PTLE patients before surgery. This report describes a retrospective study to investigate the feasibility of doing so during intracranial monitoring. Methods: Background EEG epochs, 5 min in duration, were recorded from the anterior hippocampus in 14 (10 MTS and four PTLE) patients with consistent localization of seizure onset to medial temporal structures. The power spectral density (PSD) of the EEG epochs was calculated by a Fourier spectral estimator, and the total signal power and power of the delta, theta, alpha, beta, and gamma frequency bands were submitted to group‐to‐group comparison. Results: Spectral peaks were observed in the delta band in all PSD estimates and in the theta band in nine of 14 (seven MTS, two PTLE) estimates. The MTS and PTLE subtypes could be distinguished by the total signal power and delta band power. These power measurements were greater in the PTLE subtype. Conclusions: Both delta and theta spectral components are present in hippocampal background EEGs recorded from patients with TLE. The results indicate that group differences exist in spectral measures of background hippocampal signals recorded from MTS and PTLE subtypes. This suggests both that substrate differences in cellular composition and connectivity are reflected in hippocampal background EEGs and that spectral measurements of these signals may hold promise for tests to identify the group membership of individual patients.
doi_str_mv 10.1046/j.1528-1157.2001.00500.x
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Patients in both subtypes have seizures that appear to begin in the medial temporal lobe, but documented differences in substrate and outcome between these subtypes has defined a need to distinguish MTS and PTLE patients before surgery. This report describes a retrospective study to investigate the feasibility of doing so during intracranial monitoring. Methods: Background EEG epochs, 5 min in duration, were recorded from the anterior hippocampus in 14 (10 MTS and four PTLE) patients with consistent localization of seizure onset to medial temporal structures. The power spectral density (PSD) of the EEG epochs was calculated by a Fourier spectral estimator, and the total signal power and power of the delta, theta, alpha, beta, and gamma frequency bands were submitted to group‐to‐group comparison. Results: Spectral peaks were observed in the delta band in all PSD estimates and in the theta band in nine of 14 (seven MTS, two PTLE) estimates. The MTS and PTLE subtypes could be distinguished by the total signal power and delta band power. These power measurements were greater in the PTLE subtype. Conclusions: Both delta and theta spectral components are present in hippocampal background EEGs recorded from patients with TLE. The results indicate that group differences exist in spectral measures of background hippocampal signals recorded from MTS and PTLE subtypes. This suggests both that substrate differences in cellular composition and connectivity are reflected in hippocampal background EEGs and that spectral measurements of these signals may hold promise for tests to identify the group membership of individual patients.</description><identifier>ISSN: 0013-9580</identifier><identifier>EISSN: 1528-1167</identifier><identifier>DOI: 10.1046/j.1528-1157.2001.00500.x</identifier><identifier>PMID: 11422326</identifier><identifier>CODEN: EPILAK</identifier><language>eng</language><publisher>Boston, MA, USA: Blackwell Science Inc</publisher><subject>Adult ; Background EEG ; Biological and medical sciences ; Delta Rhythm - statistics &amp; numerical data ; Electrodes, Implanted ; Electroencephalography - methods ; Electroencephalography - statistics &amp; numerical data ; Epilepsy, Temporal Lobe - classification ; Epilepsy, Temporal Lobe - diagnosis ; Epilepsy, Temporal Lobe - physiopathology ; Fourier Analysis ; Headache. Facial pains. Syncopes. Epilepsia. Intracranial hypertension. Brain oedema. 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The MTS and PTLE subtypes could be distinguished by the total signal power and delta band power. These power measurements were greater in the PTLE subtype. Conclusions: Both delta and theta spectral components are present in hippocampal background EEGs recorded from patients with TLE. The results indicate that group differences exist in spectral measures of background hippocampal signals recorded from MTS and PTLE subtypes. This suggests both that substrate differences in cellular composition and connectivity are reflected in hippocampal background EEGs and that spectral measurements of these signals may hold promise for tests to identify the group membership of individual patients.</description><subject>Adult</subject><subject>Background EEG</subject><subject>Biological and medical sciences</subject><subject>Delta Rhythm - statistics &amp; numerical data</subject><subject>Electrodes, Implanted</subject><subject>Electroencephalography - methods</subject><subject>Electroencephalography - statistics &amp; numerical data</subject><subject>Epilepsy, Temporal Lobe - classification</subject><subject>Epilepsy, Temporal Lobe - diagnosis</subject><subject>Epilepsy, Temporal Lobe - physiopathology</subject><subject>Fourier Analysis</subject><subject>Headache. Facial pains. Syncopes. Epilepsia. Intracranial hypertension. Brain oedema. 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Facial pains. Syncopes. Epilepsia. Intracranial hypertension. Brain oedema. Cerebral palsy</topic><topic>Hippocampus</topic><topic>Hippocampus - cytology</topic><topic>Hippocampus - pathology</topic><topic>Hippocampus - physiopathology</topic><topic>Humans</topic><topic>Medical sciences</topic><topic>Monitoring, Physiologic - statistics &amp; numerical data</topic><topic>MTLE</topic><topic>Nervous system (semeiology, syndromes)</topic><topic>Neurology</topic><topic>Quantitative EEG</topic><topic>Retrospective Studies</topic><topic>Temporal Lobe - cytology</topic><topic>Temporal Lobe - pathology</topic><topic>Temporal Lobe - physiopathology</topic><topic>Theta</topic><topic>Theta Rhythm - statistics &amp; numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zaveri, Hitten P.</creatorcontrib><creatorcontrib>Duckrow, Robert B.</creatorcontrib><creatorcontrib>De Lanerolle, Nihal C.</creatorcontrib><creatorcontrib>Spencer, Susan S.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Epilepsia (Copenhagen)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zaveri, Hitten P.</au><au>Duckrow, Robert B.</au><au>De Lanerolle, Nihal C.</au><au>Spencer, Susan S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Distinguishing Subtypes of Temporal Lobe Epilepsy with Background Hippocampal Activity</atitle><jtitle>Epilepsia (Copenhagen)</jtitle><addtitle>Epilepsia</addtitle><date>2001-06</date><risdate>2001</risdate><volume>42</volume><issue>6</issue><spage>725</spage><epage>730</epage><pages>725-730</pages><issn>0013-9580</issn><eissn>1528-1167</eissn><coden>EPILAK</coden><abstract>Purpose: Two subtypes of temporal lobe epilepsy (TLE) can be defined through clinical observations and analysis of hippocampal tissue resected during surgical procedures for intractable TLE: (a) mesial temporal sclerosis (MTS), which is characterized by extensive changes to the hippocampus and good surgical outcome; and (b) paradoxical temporal lobe epilepsy (PTLE), which is characterized by minimal cell loss and comparatively poorer surgical outcome. Patients in both subtypes have seizures that appear to begin in the medial temporal lobe, but documented differences in substrate and outcome between these subtypes has defined a need to distinguish MTS and PTLE patients before surgery. This report describes a retrospective study to investigate the feasibility of doing so during intracranial monitoring. Methods: Background EEG epochs, 5 min in duration, were recorded from the anterior hippocampus in 14 (10 MTS and four PTLE) patients with consistent localization of seizure onset to medial temporal structures. The power spectral density (PSD) of the EEG epochs was calculated by a Fourier spectral estimator, and the total signal power and power of the delta, theta, alpha, beta, and gamma frequency bands were submitted to group‐to‐group comparison. Results: Spectral peaks were observed in the delta band in all PSD estimates and in the theta band in nine of 14 (seven MTS, two PTLE) estimates. The MTS and PTLE subtypes could be distinguished by the total signal power and delta band power. These power measurements were greater in the PTLE subtype. Conclusions: Both delta and theta spectral components are present in hippocampal background EEGs recorded from patients with TLE. The results indicate that group differences exist in spectral measures of background hippocampal signals recorded from MTS and PTLE subtypes. This suggests both that substrate differences in cellular composition and connectivity are reflected in hippocampal background EEGs and that spectral measurements of these signals may hold promise for tests to identify the group membership of individual patients.</abstract><cop>Boston, MA, USA</cop><pub>Blackwell Science Inc</pub><pmid>11422326</pmid><doi>10.1046/j.1528-1157.2001.00500.x</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
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subjects Adult
Background EEG
Biological and medical sciences
Delta Rhythm - statistics & numerical data
Electrodes, Implanted
Electroencephalography - methods
Electroencephalography - statistics & numerical data
Epilepsy, Temporal Lobe - classification
Epilepsy, Temporal Lobe - diagnosis
Epilepsy, Temporal Lobe - physiopathology
Fourier Analysis
Headache. Facial pains. Syncopes. Epilepsia. Intracranial hypertension. Brain oedema. Cerebral palsy
Hippocampus
Hippocampus - cytology
Hippocampus - pathology
Hippocampus - physiopathology
Humans
Medical sciences
Monitoring, Physiologic - statistics & numerical data
MTLE
Nervous system (semeiology, syndromes)
Neurology
Quantitative EEG
Retrospective Studies
Temporal Lobe - cytology
Temporal Lobe - pathology
Temporal Lobe - physiopathology
Theta
Theta Rhythm - statistics & numerical data
title Distinguishing Subtypes of Temporal Lobe Epilepsy with Background Hippocampal Activity
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