New Approaches to Studying Silent Mesial Temporal Lobe Seizures in Alzheimer's Disease
Silent seizures were discovered in mouse models of Alzheimer's disease over 10 years ago, yet it remains unclear whether these seizures are a salient feature of Alzheimer's disease in humans. Seizures that arise early in the course of Alzheimer's disease most likely originate from the...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2019-09-01
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| Series: | Frontiers in Neurology |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fneur.2019.00959/full |
| _version_ | 1819101239398367232 |
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| author | Alice D. Lam Alice D. Lam Andrew J. Cole Andrew J. Cole Sydney S. Cash Sydney S. Cash |
| author_facet | Alice D. Lam Alice D. Lam Andrew J. Cole Andrew J. Cole Sydney S. Cash Sydney S. Cash |
| author_sort | Alice D. Lam |
| collection | DOAJ |
| description | Silent seizures were discovered in mouse models of Alzheimer's disease over 10 years ago, yet it remains unclear whether these seizures are a salient feature of Alzheimer's disease in humans. Seizures that arise early in the course of Alzheimer's disease most likely originate from the mesial temporal lobe, one of the first structures affected by Alzheimer's disease pathology and one of the most epileptogenic regions of the brain. Several factors greatly limit our ability to identify mesial temporal lobe seizures in patients with Alzheimer's disease, however. First, mesial temporal lobe seizures can be difficult to recognize clinically, as their accompanying symptoms are often subtle or even non-existent. Second, electrical activity arising from the mesial temporal lobe is largely invisible on the scalp electroencephalogram (EEG), the mainstay of diagnosis for epilepsy in this population. In this review, we will describe two new approaches being used to study silent mesial temporal lobe seizures in Alzheimer's disease. We will first describe the methodology and application of foramen ovale electrodes, which captured the first recordings of silent mesial temporal lobe seizures in humans with Alzheimer's disease. We will then describe machine learning approaches being developed to non-invasively identify silent mesial temporal lobe seizures on scalp EEG. Both of these tools have the potential to elucidate the role of silent seizures in humans with Alzheimer's disease, which could have important implications for early diagnosis, prognostication, and development of targeted therapies for this population. |
| first_indexed | 2024-12-22T01:15:30Z |
| format | Article |
| id | doaj.art-29c405a7e3564131ab929341a66bbceb |
| institution | Directory Open Access Journal |
| issn | 1664-2295 |
| language | English |
| last_indexed | 2024-12-22T01:15:30Z |
| publishDate | 2019-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurology |
| spelling | doaj.art-29c405a7e3564131ab929341a66bbceb2022-12-21T18:43:53ZengFrontiers Media S.A.Frontiers in Neurology1664-22952019-09-011010.3389/fneur.2019.00959470340New Approaches to Studying Silent Mesial Temporal Lobe Seizures in Alzheimer's DiseaseAlice D. Lam0Alice D. Lam1Andrew J. Cole2Andrew J. Cole3Sydney S. Cash4Sydney S. Cash5Massachusetts General Hospital, Department of Neurology, Boston, MA, United StatesHarvard Medical School, Boston, MA, United StatesMassachusetts General Hospital, Department of Neurology, Boston, MA, United StatesHarvard Medical School, Boston, MA, United StatesMassachusetts General Hospital, Department of Neurology, Boston, MA, United StatesHarvard Medical School, Boston, MA, United StatesSilent seizures were discovered in mouse models of Alzheimer's disease over 10 years ago, yet it remains unclear whether these seizures are a salient feature of Alzheimer's disease in humans. Seizures that arise early in the course of Alzheimer's disease most likely originate from the mesial temporal lobe, one of the first structures affected by Alzheimer's disease pathology and one of the most epileptogenic regions of the brain. Several factors greatly limit our ability to identify mesial temporal lobe seizures in patients with Alzheimer's disease, however. First, mesial temporal lobe seizures can be difficult to recognize clinically, as their accompanying symptoms are often subtle or even non-existent. Second, electrical activity arising from the mesial temporal lobe is largely invisible on the scalp electroencephalogram (EEG), the mainstay of diagnosis for epilepsy in this population. In this review, we will describe two new approaches being used to study silent mesial temporal lobe seizures in Alzheimer's disease. We will first describe the methodology and application of foramen ovale electrodes, which captured the first recordings of silent mesial temporal lobe seizures in humans with Alzheimer's disease. We will then describe machine learning approaches being developed to non-invasively identify silent mesial temporal lobe seizures on scalp EEG. Both of these tools have the potential to elucidate the role of silent seizures in humans with Alzheimer's disease, which could have important implications for early diagnosis, prognostication, and development of targeted therapies for this population.https://www.frontiersin.org/article/10.3389/fneur.2019.00959/fullforamen ovale electrodeAlzheimerepilepsytemporal lobemachine learning |
| spellingShingle | Alice D. Lam Alice D. Lam Andrew J. Cole Andrew J. Cole Sydney S. Cash Sydney S. Cash New Approaches to Studying Silent Mesial Temporal Lobe Seizures in Alzheimer's Disease Frontiers in Neurology foramen ovale electrode Alzheimer epilepsy temporal lobe machine learning |
| title | New Approaches to Studying Silent Mesial Temporal Lobe Seizures in Alzheimer's Disease |
| title_full | New Approaches to Studying Silent Mesial Temporal Lobe Seizures in Alzheimer's Disease |
| title_fullStr | New Approaches to Studying Silent Mesial Temporal Lobe Seizures in Alzheimer's Disease |
| title_full_unstemmed | New Approaches to Studying Silent Mesial Temporal Lobe Seizures in Alzheimer's Disease |
| title_short | New Approaches to Studying Silent Mesial Temporal Lobe Seizures in Alzheimer's Disease |
| title_sort | new approaches to studying silent mesial temporal lobe seizures in alzheimer s disease |
| topic | foramen ovale electrode Alzheimer epilepsy temporal lobe machine learning |
| url | https://www.frontiersin.org/article/10.3389/fneur.2019.00959/full |
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