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Nonlinear and Cooperative Dynamics in the Human Brain: Evidence from Multimodal Neuroimaging

  • Chapter
Coordination: Neural, Behavioral and Social Dynamics

Part of the book series: Understanding Complex Systems ((UCS))

Abstract

Even a cursory review makes it clear that the operation of the brain critically depends on a complex interaction of spatially segregated neural systems. An adequate description of these interactions and an understanding of their nature are therefore an important challenge for neuroscience. While this applies to normal and abnormal brain functions, a study of the nature of corticocortical interactions will be needed most of all in the study of diseases and conditions in which an alteration of connectivity is assumed to play a prominent role. A case in point is schizophrenia, in which convergent evidence from neuroanatomical, neurophysiological, pharmacological and theoretical studies suggests that a disturbance of cortical connections may play an important role in producing a functionally devastating and characteristic syndrome based on a pathology that is (comparatively) subtle and possibly diffuse [17, 22, 43, 70].

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Author information

Authors and Affiliations

  1. Central Institute of Mental Health, J5. D-68159, Mannheim, Germany

    Andreas Meyer-Lindenberg

  2. Unit for Systems Neuroscience in Psychiatry and Neuroimaging Core Facility, Genes, Cognition and Psychosis Program, National Institute for Mental Health, NIH, DHHS, 10-3C101, 9000 Rockville Pike, Bethesda, MD, 20892-1365, USA

    Danielle S. Bassett

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  1. Andreas Meyer-Lindenberg
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  2. Danielle S. Bassett
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Editors and Affiliations

  1. Center for Complex Systems & Brain Sciences, Florida Atlantic University, 777 Glades Road, Boca Raton, FL, 33431-0991, USA

    Armin Fuchs  & Viktor K. Jirsa  & 

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Meyer-Lindenberg, A., Bassett, D.S. (2008). Nonlinear and Cooperative Dynamics in the Human Brain: Evidence from Multimodal Neuroimaging. In: Fuchs, A., Jirsa, V.K. (eds) Coordination: Neural, Behavioral and Social Dynamics. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74479-5_8

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