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Estimating multivariate similarity between neuroimaging datasets with sparse canonical correlation analysis: an application to perfusion imaging.
Rosa, Maria J; Mehta, Mitul A; Pich, Emilio M; Risterucci, Celine; Zelaya, Fernando; Reinders, Antje A T S; Williams, Steve C R; Dazzan, Paola; Doyle, Orla M; Marquand, Andre F.
Afiliação
  • Rosa MJ; Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London London, UK.
  • Mehta MA; Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London London, UK.
  • Pich EM; F. Hoffmann-La Roche Ltd. Basel, Switzerland.
  • Risterucci C; F. Hoffmann-La Roche Ltd. Basel, Switzerland.
  • Zelaya F; Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London London, UK.
  • Reinders AA; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London London, UK.
  • Williams SC; Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London London, UK.
  • Dazzan P; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London London, UK ; National Institute for Health Research Mental Health Biomedical Research Centre, South London and Maudsley National Health Service Foundation Trust, King's College London London,
  • Doyle OM; Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London London, UK.
  • Marquand AF; Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London London, UK ; Department of Cognitive Neuroscience, Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Netherlands.
Front Neurosci ; 9: 366, 2015.
Article em En | MEDLINE | ID: mdl-26528117

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2015 Tipo de documento: Article