rest2vec: Vectorizing the resting-state functional connectome using graph embedding.

Morrissey, Zachery D; Zhan, Liang; Ajilore, Olusola; Leow, Alex D

Morrissey, Zachery D; Zhan, Liang; Ajilore, Olusola; Leow, Alex D.

Afiliación

Morrissey ZD; Graduate Program in Neuroscience, University of Illinois at Chicago, Chicago, IL 60612, USA; Department of Psychiatry, University of Illinois at Chicago, Chicago, IL 60612, USA.
Zhan L; Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA 15261, USA; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Ajilore O; Department of Psychiatry, University of Illinois at Chicago, Chicago, IL 60612, USA.
Leow AD; Department of Psychiatry, University of Illinois at Chicago, Chicago, IL 60612, USA; Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA; Department of Computer Science, University of Illinois at Chicago, Chicago, IL 60607, USA. Electronic address: alexfeuillet@gm

Neuroimage ; 226: 117538, 2021 02 01.

Article en En | MEDLINE | ID: mdl-33188880

Asunto(s)

Encéfalo/fisiología; Conectoma/métodos; Procesamiento de Imagen Asistido por Computador/métodos; Aprendizaje Automático; Humanos; Imagen por Resonancia Magnética/métodos; Descanso

Palabras clave

Connectomics; Functional neuroimaging; Gradients; Resting-state fMRI

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Encéfalo / Conectoma / Aprendizaje Automático Límite: Humans Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

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