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Detecting microstructural deviations in individuals with deep diffusion MRI tractometry.
Chamberland, Maxime; Genc, Sila; Tax, Chantal M W; Shastin, Dmitri; Koller, Kristin; Raven, Erika P; Cunningham, Adam; Doherty, Joanne; van den Bree, Marianne B M; Parker, Greg D; Hamandi, Khalid; Gray, William P; Jones, Derek K.
Afiliación
  • Chamberland M; Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.
  • Genc S; Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, the Netherlands.
  • Tax CMW; Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.
  • Shastin D; Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.
  • Koller K; Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Raven EP; Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.
  • Cunningham A; Department of Neuroscience, University Hospital of Wales (UHW), Cardiff, UK.
  • Doherty J; Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.
  • van den Bree MBM; Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.
  • Parker GD; Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York, NY, USA.
  • Hamandi K; Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK.
  • Gray WP; Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.
  • Jones DK; Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK.
Nat Comput Sci ; 1: 598-606, 2021 Sep.
Article en En | MEDLINE | ID: mdl-35865756
Most diffusion magnetic resonance imaging studies of disease rely on statistical comparisons between large groups of patients and healthy participants to infer altered tissue states in the brain; however, clinical heterogeneity can greatly challenge their discriminative power. There is currently an unmet need to move away from the current approach of group-wise comparisons to methods with the sensitivity to detect altered tissue states at the individual level. This would ultimately enable the early detection and interpretation of microstructural abnormalities in individual patients, an important step towards personalized medicine in translational imaging. To this end, Detect was developed to advance diffusion magnetic resonance imaging tractometry towards single-patient analysis. By operating on the manifold of white-matter pathways and learning normative microstructural features, our framework captures idiosyncrasies in patterns along white-matter pathways. Our approach paves the way from traditional group-based comparisons to true personalized radiology, taking microstructural imaging from the bench to the bedside.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Screening_studies Idioma: En Revista: Nat Comput Sci Año: 2021 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Screening_studies Idioma: En Revista: Nat Comput Sci Año: 2021 Tipo del documento: Article Pais de publicación: Estados Unidos