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Resting-State Functional Network Disturbances in Schizophrenia

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Brain Network Dysfunction in Neuropsychiatric Illness

Abstract

Resting-state functional magnetic resonance imaging is a powerful technique to study the severe mental disease – schizophrenia. Particularly, disturbances of functional resting-state brain networks in this illness are widely investigated. For example, dysconnectivity among brain networks have been revealed by regions of interest-based analysis, independent component analysis, graph theory-based analysis, and dynamic connectivity analysis. In addition, altered amplitude of low-frequency fluctuation and regional homogeneity of specific brain areas have also been discovered. Briefly, widespread disrupted connectivity in functional resting-state brain networks is identified in schizophrenia by those methods. Most importantly, some of the brain disturbances are associated with patient’s symptoms. Future studies may develop new understanding of how these functional brain disturbances translate into clinical practice, and help inform disease diagnosis.

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Authors and Affiliations

  1. The Mind Research Network, Albuquerque, NM, USA

    Qingbao Yu & Vince D. Calhoun

  2. Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA

    Vince D. Calhoun

  3. Department of Psychiatry, Yale University, New Haven, CT, USA

    Vince D. Calhoun

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  1. Qingbao Yu
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Correspondence to Qingbao Yu or Vince D. Calhoun .

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  1. Department of Psychiatry & Behavioral Neurosciences, Wayne State U School of Medicine, Detroit, MI, USA

    Vaibhav A. Diwadkar

  2. Heinrich-Heine Univ Düsseldorf, Institut für Klinische Neurowissenschaft, Institute of Neuroscience and Medicine Brain & Behaviour (INM-7), Research Centre Jülich Jülich, North Rhine - Westphalia, Düsseldorf, Nordrhein-Westfalen, Germany

    Simon B. Eickhoff

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Yu, Q., Calhoun, V.D. (2021). Resting-State Functional Network Disturbances in Schizophrenia. In: Diwadkar, V.A., B. Eickhoff, S. (eds) Brain Network Dysfunction in Neuropsychiatric Illness. Springer, Cham. https://doi.org/10.1007/978-3-030-59797-9_10

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