Holoprosencephaly: a review.

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Title: Holoprosencephaly: a review.
Authors: Clegg NJ (AUTHOR), Gerace KL (AUTHOR), Sparagana SP (AUTHOR), Hahn JS (AUTHOR), Delgado MR (AUTHOR)
Source: American Journal of Electroneurodiagnostic Technology. Jun2002, Vol. 42 Issue 2, p59-124. 17p.
Abstract: Holoprosencephaly (HPE) is a brain malformation characterized by incomplete cleavage of the cerebral hemispheres and deep brain structures. Epilepsy is a common problem in children with HPE and a vast majority will have abnormal EEGs. A variety of EEG findings, including spike-and-slow-wave complexes, hypsarrhythmia, isoelectric patterns, periodic discharges, fast anterior rhythms, posterior gradient flattening, asynchronous high amplitude rhythmic activity, and paroxysmal hypersynchronous patterns, are reported in the literature. About half of the children with HPE evaluated at Texas Scottish Rite Hospital for Children have epilepsy. These children have various seizure types; however, there are some consistent EEG findings such as hypersynchronous theta during sleep, hypersynchronous theta while awake, hypersynchronous beta during sleep, and episodic attenuation of cerebral activity, in addition to a spectrum of epileptiform discharges. This article is a review of the clinical and neuroimaging features of HPE and includes discussion of what is known about EEC findings in the disorder. [ABSTRACT FROM AUTHOR]
Copyright of American Journal of Electroneurodiagnostic Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Holoprosencephaly: a review.
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  Data: <searchLink fieldCode="AR" term="%22Clegg+NJ%22">Clegg NJ</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gerace+KL%22">Gerace KL</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sparagana+SP%22">Sparagana SP</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hahn+JS%22">Hahn JS</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Delgado+MR%22">Delgado MR</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22American+Journal+of+Electroneurodiagnostic+Technology%22">American Journal of Electroneurodiagnostic Technology</searchLink>. Jun2002, Vol. 42 Issue 2, p59-124. 17p.
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Holoprosencephaly (HPE) is a brain malformation characterized by incomplete cleavage of the cerebral hemispheres and deep brain structures. Epilepsy is a common problem in children with HPE and a vast majority will have abnormal EEGs. A variety of EEG findings, including spike-and-slow-wave complexes, hypsarrhythmia, isoelectric patterns, periodic discharges, fast anterior rhythms, posterior gradient flattening, asynchronous high amplitude rhythmic activity, and paroxysmal hypersynchronous patterns, are reported in the literature. About half of the children with HPE evaluated at Texas Scottish Rite Hospital for Children have epilepsy. These children have various seizure types; however, there are some consistent EEG findings such as hypersynchronous theta during sleep, hypersynchronous theta while awake, hypersynchronous beta during sleep, and episodic attenuation of cerebral activity, in addition to a spectrum of epileptiform discharges. This article is a review of the clinical and neuroimaging features of HPE and includes discussion of what is known about EEC findings in the disorder. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of American Journal of Electroneurodiagnostic Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/1086508x.2002.11079379
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              Text: Jun2002
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