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Clapping-surpressed focal spikes in EEG may be unique for the patients with rett syndrome : a case report

Overview of attention for article published in BMC Neurology, June 2016
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Title
Clapping-surpressed focal spikes in EEG may be unique for the patients with rett syndrome : a case report
Published in
BMC Neurology, June 2016
DOI 10.1186/s12883-016-0613-4
Pubmed ID
Authors

Yudan Lv, Chang Liu, Mingchao Shi, Li Cui

Abstract

Rett syndrome is a severe neurodevelopmental disorder that primarily affects females. Typical features include a loss of purposeful hand skills, development of hand stereotypies, loss of spoken language, gait abnormalities, and acquired microcephaly. However, Rett syndrome hasn't been recognized by clinical doctors at the early stage. So we need to find some special characters. We reported a Chinese case of Rett syndrome, exhibiting continuous centrotemporal spikes in EEG with paroxysmal suppression by hand stereotypies (hand clapping). The child, female, 4 years old, presented with a significant regression in her spoken language skills, hand stereotypies (hand clapping and hand wringing), a wider based gait with difficulties in balance, repeated abnormal behaviors (bruxism and head banging). With her clinical-history, Rett syndrome was suspected and genetic testing with mutation in MECP2 confirmed the diagnosis. Her EEG showed slow acticity in background and revealed a specific feature that continuous centrotemporal spikes can be suppressed by the repeated hand clapping. And when the hand stopped, the spikes reoccured again. This unique EEG signature has rarely been reported, which will expand the spectrum of EEG abnormalities in Rett syndrome.

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Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 17%
Student > Doctoral Student 4 11%
Researcher 4 11%
Student > Bachelor 3 8%
Other 3 8%
Other 8 22%
Unknown 8 22%
Readers by discipline Count As %
Medicine and Dentistry 8 22%
Neuroscience 5 14%
Engineering 3 8%
Psychology 3 8%
Arts and Humanities 2 6%
Other 5 14%
Unknown 10 28%