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EEG Connectivity Pattern: A Window into the Schizophrenia Mind?

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Neuroimaging in Schizophrenia

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Abstract

Schizophrenia (SZ) is a chronic and severe mental disorder, characterized by a set of positive, negative, and cognitive symptoms. It has been linked to abnormal activation, connectivity, and integration within distributed brain areas. EEG—a non-invasive electrophysiological monitoring method—enables direct measurement of whole-brain electrical activity, known as oscillations. Such coordinated brain oscillations are considered to play key roles in neural communication, integration, and computation, and therefore offer an exceptional window into the dynamics of healthy and disturbed brain function. In recent years, a multitude of methods have been incorporated to estimate functional and effective connectivity between local and large-scale neural populations. The purpose of this chapter is to introduce the reader to the state-of-the-art EEG tools that have been repeatedly used to investigate pathophysiological circuits underlying the heterogeneous symptoms of SZ. Analytical approaches, such as microstate analysis, coherence, phase locking value, phase lag index, phase-amplitude coupling, lagged phase synchronization, as well as Granger causality, and dynamic causal modelling will be presented. Although until today, no gold standard of EEG connectivity approaches has yet emerged, each of these metrics have led to tremendous progress in understanding discrete pathophysiological circuits that may hold promise for new diagnostic and disease treatment strategies.

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Authors and Affiliations

  1. Psychiatry Neuroimaging Branch, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

    Saskia Steinmann

  2. Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

    Guido Nolte

  3. Centre for Psychiatry and Psychotherapy, Justus-Liebig-University, Giessen, Germany

    Christoph Mulert

  4. Psychiatry Neuroimaging Branch, Personality Disorder Unit, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

    Christoph Mulert

Authors
  1. Saskia Steinmann
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  2. Guido Nolte
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  3. Christoph Mulert
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Correspondence to Christoph Mulert .

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Editors and Affiliations

  1. Department of Psychiatry and Radiology, Brigham and Women’s Hospital, Boston, MA, USA

    Marek Kubicki

  2. Department of Psychiatry and Radiology, Brigham and Women’s Hospital, Boston, MA, USA

    Martha E. Shenton

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Steinmann, S., Nolte, G., Mulert, C. (2020). EEG Connectivity Pattern: A Window into the Schizophrenia Mind?. In: Kubicki, M., Shenton, M. (eds) Neuroimaging in Schizophrenia . Springer, Cham. https://doi.org/10.1007/978-3-030-35206-6_13

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  • DOI: https://doi.org/10.1007/978-3-030-35206-6_13

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