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Early prediction of cognitive deficits in very preterm infants using functional connectome data in an artificial neural network framework.
He, Lili; Li, Hailong; Holland, Scott K; Yuan, Weihong; Altaye, Mekibib; Parikh, Nehal A.
Affiliation
  • He L; Perinatal Institute, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States; Pediatric Neuroimaging Research Consortium, Cincinnati Children's Hospit
  • Li H; Perinatal Institute, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Pediatric Neuroimaging Research Consortium, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
  • Holland SK; Pediatric Neuroimaging Research Consortium, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
  • Yuan W; Pediatric Neuroimaging Research Consortium, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
  • Altaye M; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States.
  • Parikh NA; Perinatal Institute, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States; Pediatric Neuroimaging Research Consortium, Cincinnati Children's Hospit
Neuroimage Clin ; 18: 290-297, 2018.
Article in En | MEDLINE | ID: mdl-29876249
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain / Neural Networks, Computer / Cognition Disorders / Connectome / Infant, Extremely Premature Type of study: Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Female / Humans / Infant / Male Language: En Journal: Neuroimage Clin Year: 2018 Document type: Article Country of publication: Países Bajos
Fulltext
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Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain / Neural Networks, Computer / Cognition Disorders / Connectome / Infant, Extremely Premature Type of study: Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Female / Humans / Infant / Male Language: En Journal: Neuroimage Clin Year: 2018 Document type: Article Country of publication: Países Bajos