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Beyond reduction with the representation: The need for causality with full complexity to unravel mental health

Published online by Cambridge University Press:  06 March 2019

Martin Desseilles
Affiliation:
GIGA Cyclotron Research Centre (CRC) in vivo imaging, University of Liege, Liège B-4000, Belgium. Department of Psychology, University of Namur, Namur B-5000, Belgium. martin.desseilles@unamur.behttp://mentalhealthsciences.com/index_en.html Clinique Psychiatrique des Frères Alexiens, Henri-Chapelle B-4841, Belgium Transition Institute, University of Namur, Namur B-5000, Belgium
Christophe Phillips
Affiliation:
GIGA Cyclotron Research Centre (CRC) in vivo imaging, University of Liege, Liège B-4000, Belgium. GIGA in silico medicine, University of Liege, Liege B-4000, Belgium. c.phillips@uliege.behttp://www.giga.uliege.be/cms/c_17732/en/home

Abstract

In this commentary on Borsboom et al.’s target article, we argue that researchers should be aware of the historical development of models in neuroscience. Considering the importance of causality in anatomo-clinical approach and stressing the complexity of mental phenomenon, we provide new insight on reductionism and representation limitation.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2019 

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