2021
DOI: 10.3389/fneur.2021.675728
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Prediction of Seizure Recurrence. A Note of Caution

Abstract: Great strides have been made recently in documenting that machine-learning programs can predict seizure occurrence in people who have epilepsy. Along with this progress have come claims that appear to us to be a bit premature. We anticipate that many people will benefit from seizure prediction. We also doubt that all will benefit. Although machine learning is a useful tool for aiding discovery, we believe that the greatest progress will come from deeper understanding of seizures, epilepsy, and the EEG features… Show more

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Cited by 12 publications
(7 citation statements)
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“…The fact that the very definition of epilepsy depends on seizure recurrence poses a diagnostic challenge. Predicting seizure recurrence after an initial brain insult is still a subject of scientific debate ( 50 ). Some progress has already been achieved in this light, as there are now suggested indicators to identify neurocysticercosis patients who are likely to develop epilepsy: those with a strong serologic response (4 bands to Taenia solium antigen on neurocysticercosis enzyme-linked immunoelectrotransfer blot (EITB) ( 39 ).…”
Section: Specific Neurological Disturbances Related To Neuroinflammat...mentioning
confidence: 99%
“…The fact that the very definition of epilepsy depends on seizure recurrence poses a diagnostic challenge. Predicting seizure recurrence after an initial brain insult is still a subject of scientific debate ( 50 ). Some progress has already been achieved in this light, as there are now suggested indicators to identify neurocysticercosis patients who are likely to develop epilepsy: those with a strong serologic response (4 bands to Taenia solium antigen on neurocysticercosis enzyme-linked immunoelectrotransfer blot (EITB) ( 39 ).…”
Section: Specific Neurological Disturbances Related To Neuroinflammat...mentioning
confidence: 99%
“…Open Sci. 9: 220374 studies [73]. It is known that mammalian physiology and behaviour are widely influenced by light and other environmental factors, which means circadian or multidien studies require well-developed protocols before the study is conducted [74].…”
Section: Learning Patient-specific Patternsmentioning
confidence: 99%
“…Circadian (days) and multidien (multi-days) seizure cycles have also recently been studied with patient self-reported diaries and retrospectively on some long-term intracranial EEG data, which show peaks in seizure cycles as long as 30 days apart [ 69 72 ]. Whether the observed cycles are valid and whether they can be linked to triggers such as missed medication, mental and emotional states, the menstrual cycle, and the duration and severity of seizures require objective and prospective studies [ 73 ]. It is known that mammalian physiology and behaviour are widely influenced by light and other environmental factors, which means circadian or multidien studies require well-developed protocols before the study is conducted [ 74 ].…”
Section: Introductionmentioning
confidence: 99%
“…16,46,58,59 Whether the observed cycles are real and whether they can be linked to missed medication, mental and emotional states, the menstrual cycle, and the duration and severity of seizures need objective and ultra-long EEG data on a scale of months and years. 60 One observation is that mammalian physiology and behavior is widely influenced by light and other environmental factors, which means circadian or multidien studies require well-developed protocols. 61…”
Section: Perspective and Future Workmentioning
confidence: 99%