Independent evaluation of the harvard automated processing pipeline for Electroencephalography 1.0 using multi-site EEG data from children with Fragile X Syndrome.

Auger, Emma; Berry-Kravis, Elizabeth M; Ethridge, Lauren E

Auger, Emma; Berry-Kravis, Elizabeth M; Ethridge, Lauren E.

Afiliação

Auger E; Department of Psychology, University of Oklahoma, Norman, OK 73019-2007, USA.
Berry-Kravis EM; Department of Pediatrics, Neurological Sciences, and Biochemistry, Rush University Medical Center, Chicago, IL 60612, USA.
Ethridge LE; Department of Psychology, University of Oklahoma, Norman, OK 73019-2007, USA; Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA. Electronic address: ethri@ou.edu.

J Neurosci Methods ; 371: 109501, 2022 04 01.

Article em En | MEDLINE | ID: mdl-35182604

Assuntos

Síndrome do Cromossomo X Frágil; Algoritmos; Artefatos; Criança; Pré-Escolar; Eletroencefalografia/métodos; Humanos; Processamento de Sinais Assistido por Computador; Razão Sinal-Ruído

Palavras-chave

Artifact removal; Automated processing; EEG; EEG Artifacts; Electroencephalography; FXS; Fragile X syndrome; HAPPE; HLM; Neurodevelopmental disorders; SNR; Signal-to-noise ratio; Simulated data

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Síndrome do Cromossomo X Frágil Limite: Child / Child, preschool / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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