Psychiatry is at a crossroads. Faced with challenges of diagnosis and treatment, it must balance analyses at both neurological and psychological levels. Issues of comorbidity, treatment stability, and questions of categorization vs. dimensionality all weigh heavily in current discussions, yet progress has been limited, at best. Computational neuroscience offers a new lens through which to view these issues. This volume presents the results of a unique collaboration between psychiatrists, computational and theoretical neuroscientists, and reveals the synergistic ideas, surprising results, and novel open questions that emerged. It outlines potential approaches to be taken and discusses the implications that these new ideas bring to bear on the challenges faced by neuroscience and psychiatry

A novel framework for improving psychiatric diagnostic nosology / Flagel, S. B.; Pine, D. S.; Ahmari, S. E.; First, M. B.; Friston, K. J.; Mathys, Christoph Daniel; Redish, A. D.; Schmack, K; ., ; Smoller, J. W.; Thapar, A.. - 20:(2016), pp. 169-199.

A novel framework for improving psychiatric diagnostic nosology

Mathys, Christoph Daniel;
2016-01-01

Abstract

Psychiatry is at a crossroads. Faced with challenges of diagnosis and treatment, it must balance analyses at both neurological and psychological levels. Issues of comorbidity, treatment stability, and questions of categorization vs. dimensionality all weigh heavily in current discussions, yet progress has been limited, at best. Computational neuroscience offers a new lens through which to view these issues. This volume presents the results of a unique collaboration between psychiatrists, computational and theoretical neuroscientists, and reveals the synergistic ideas, surprising results, and novel open questions that emerged. It outlines potential approaches to be taken and discusses the implications that these new ideas bring to bear on the challenges faced by neuroscience and psychiatry
2016
20
Computational psychiatry : new perspectives on mental illness
169
199
Flagel, S. B.; Pine, D. S.; Ahmari, S. E.; First, M. B.; Friston, K. J.; Mathys, Christoph Daniel; Redish, A. D.; Schmack, K; ., ; Smoller, J. W.; Thapar, A.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11767/48235
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