article·NeuroImage·Nov 23, 2016Closed access

Predicting brain-age from multimodal imaging data captures cognitive impairment

FLFranziskus LiemCorresponding authorGVGaël VaroquauxJKJana KynastFBFrauke BeyerSKShahrzad Kharabian Masouleh

Max Planck Institute for Human Cognitive and Brain Sciences · Institut national de recherche en informatique et en automatique · +6 more institutions

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Abstract

No abstract available for this paper.

Citation impact

560
total citations
FWCI
19.17
Percentile
100%
References
76
Citations per year

Authors

17
  • FL
    Franziskus LiemCorresponding

    Max Planck Institute for Human Cognitive and Brain Sciences

  • GV
    Gaël Varoquaux

    Institut national de recherche en informatique et en automatique, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Inria Saclay - Île de France

  • JK
    Jana Kynast

    Max Planck Institute for Human Cognitive and Brain Sciences

  • FB
    Frauke Beyer

    Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig University

  • SK
    Shahrzad Kharabian Masouleh

    Max Planck Institute for Human Cognitive and Brain Sciences

Topics & keywords

Topics
  • Primary topicFunctional Brain Connectivity Studies100%
  • Dementia and Cognitive Impairment Research100%
  • Neonatal and fetal brain pathology99%
Keywords
  • Generalizability theory
  • Neurocognitive
  • Neuroimaging
  • Confounding
  • Cognition
  • Cognitive impairment
  • Psychology
  • Generalization
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