The Reference Ability Neural Network Study: Motivation, design, and initial feasibility analyses
- Author
- STERN, Yaakov1 ; HABECK, Christian1 ; STEFFENER, Jason1 ; BARULLI, Daniel1 ; GAZES, Yunglin1 ; RAZLIGHI, Qolamreza1 ; SHAKED, Danielle1 ; SALTHOUSE, Timothy2
[1] Cognitive Neuroscience Division, Department of Neurology and Taub Institute for Research on Alzheimer's Disease and The Aging Brain, Columbia University College of Physicians and Surgeons, 630 W 168th St, P&S Box 16, New York, NY 10032, United States
[2] Department of Psychology, University of Virginia, 102 Gilmer Hall, PO Box 400400, Charlottesville, VA 22904, United States - Source
NeuroImage (Orlando, Fla.). 2014, Vol 103, pp 139-151, 13 p ; ref : 1/2 p
- ISSN
- 1053-8119
- Scientific domain
- Cognition; Neurology; Psychophysiology
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- Cognitive aging Convergent/discriminant validity fMRI
- Keyword (fr)
- Cognition Imagerie RMN Imagerie fonctionnelle Réseau neuronal Sénescence
- Keyword (en)
- Cognition Nuclear magnetic resonance imaging Functional imaging Neural network Senescence
- Keyword (es)
- Cognición Imaginería RMN Imaginería funcional Red neuronal Senescencia
- Classification
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A25 Vertebrates: nervous system and sense organs
- Discipline
- Vertebrates : nervous system and sense organs
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 29075768
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.neuroimage.2014.09.029 
https://dx.doi.org/10.1016/j.neuroimage.2014.09.029
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