Early detection and intervention in psychosis : state of the art and future perspectives /

"This new volume reviews early detection approaches and possible subsequent interventions for psychosis. After introductory chapters, various methods for early detection not only in adults, but also adolescents are described. In this context, the validity of the psychosis high-risk state is deb...

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Bibliographic Details
Group Author: Riecher-Rössler, Anita; McGorry, Patrick D
Published: Karger,
Publisher Address: Basel ; New York :
Publication Dates: 2016.
Literature type: Book
Language: English
Series: Key issues in mental health, volume 181
Subjects:
Summary: "This new volume reviews early detection approaches and possible subsequent interventions for psychosis. After introductory chapters, various methods for early detection not only in adults, but also adolescents are described. In this context, the validity of the psychosis high-risk state is debated along with whether early detection is indeed helpful, or actually stigmatizing, for the patient. Further contributions review neuroimaging, including structural and functional MRI, as well as pattern recognition methods and measurement of connectivity abnormalities. Neurocognitive and neurophysiol
Carrier Form: xiv, 194 : illustrations ; 26 cm.
Bibliography: Includes bibliographical references and indexes.
ISBN: 9783318056204 (hard cover : alkaline paper) :
3318056200 (hard cover : alkaline paper)
Index Number: RC473
CLC: R749
Call Number: R749/E125
Contents: Preliminaries -- Overview. Early detection of psychosis: state of the art and future perspectives -- Early intervention in emerging psychosis: state of the art and future perspectives -- Early detection of psychosis: clinical assessments. First signs of emerging psychosis -- Psychosis high-risk states in adolescents -- The psychosis high-risk state -- Early detection of psychosis: helpful or stigmatizing experience for those concerned? -- Early detection of psychosis: neuroimaging. Structural and functional MRI in the prediction of psychosis -- Pattern recognition methods in the prediction o