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Open Access

Peer-reviewed

Research Article

Normalization enhances brain network features that predict individual intelligence in children with epilepsy

Michael J. Paldino ,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing

* E-mail: mjpaldin@texaschildrens.org

Affiliation Department of Radiology, Texas Children’s Hospital, Houston, TX, United States of America

http://orcid.org/0000-0002-3769-8508

⨯
Farahnaz Golriz,

Roles Data curation, Formal analysis, Investigation, Supervision, Writing – review & editing

Affiliation Department of Radiology, Texas Children’s Hospital, Houston, TX, United States of America
⨯
Wei Zhang,

Roles Data curation, Formal analysis, Investigation, Methodology, Writing – review & editing

Affiliation Department of Radiology, Texas Children’s Hospital, Houston, TX, United States of America
⨯
Zili D. Chu

Roles Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Writing – original draft, Writing – review & editing

Affiliation Department of Radiology, Texas Children’s Hospital, Houston, TX, United States of America
⨯

Normalization enhances brain network features that predict individual intelligence in children with epilepsy

Michael J. Paldino,
Farahnaz Golriz,
Wei Zhang,
Zili D. Chu

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Published: March 5, 2019
https://doi.org/10.1371/journal.pone.0212901

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Neural networks
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Epilepsy
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Pediatrics
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Machine learning algorithms
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Central nervous system
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Machine learning
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Clustering coefficients
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