A new understanding of mental disorders : computational models for dimensional psychiatry (Book, 2017) [WorldCat.org]
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A new understanding of mental disorders : computational models for dimensional psychiatry
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A new understanding of mental disorders : computational models for dimensional psychiatry

Author: Andreas Heinz
Publisher: Cambridge, MA : The MIT Press, [2017]
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
Even as researchers look for neurobiological correlates of mental disorders, many of these disorders are still classified solely according to the manifestation of clinical symptoms. Neurobiological findings rarely help diagnose a specific disease or predict its outcome. Although current diagnostic categories are questionable (sometimes labeling common states of human suffering as disorders), traditional neuroimaging  Read more...
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Additional Physical Format: Electronic version:
Heinz, Andreas, 1960-
New understanding of mental disorders.
Cambridge, MA : The MIT Press, [2017]
(OCoLC)1006637923
Document Type: Book
All Authors / Contributors: Andreas Heinz
ISBN: 9780262036894 0262036894
OCLC Number: 973519715
Description: viii, 214 pages : illustrations ; 24 cm
Contents: Basic learning mechanisms : Pavlovian conditioning in mental disorders --
Reward-dependent learning --
Executive control and model-based decision making --
Serotonergic neurotransmission and its role in negative affect --
Evolutionary concepts of mental disorders : a unifying framework? --
Computational models of learning mechanisms in psychosis --
Learning mechanisms in addictive disorders --
Learning mechanisms in affective disorders --
How a focus on learning mechanisms can change our understanding of mental disorders.
Responsibility: Andreas Heinz.

Abstract:

Even as researchers look for neurobiological correlates of mental disorders, many of these disorders are still classified solely according to the manifestation of clinical symptoms. Neurobiological findings rarely help diagnose a specific disease or predict its outcome. Although current diagnostic categories are questionable (sometimes labeling common states of human suffering as disorders), traditional neuroimaging approaches are not sophisticated enough to capture the neurobiological markers of mental disorder. In this book, Andreas Heinz proposes a computational and dimensional approach to understanding and classifying mental disorders: modeling key learning and decision-making mechanisms across different mental disorders. Such an approach focuses on the malleability and diversity of human behavior and its biological underpinnings. --Publisher description.

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