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      Cerebello-thalamo-cortical hyperconnectivity as a state-independent functional neural signature for psychosis prediction and characterization

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          Abstract

          Understanding the fundamental alterations in brain functioning that lead to psychotic disorders remains a major challenge in clinical neuroscience. In particular, it is unknown whether any state-independent biomarkers can potentially predict the onset of psychosis and distinguish patients from healthy controls, regardless of paradigm. Here, using multi-paradigm fMRI data from the North American Prodrome Longitudinal Study consortium, we show that individuals at clinical high risk for psychosis display an intrinsic “trait-like” abnormality in brain architecture characterized as increased connectivity in the cerebello–thalamo–cortical circuitry, a pattern that is significantly more pronounced among converters compared with non-converters. This alteration is significantly correlated with disorganization symptoms and predictive of time to conversion to psychosis. Moreover, using an independent clinical sample, we demonstrate that this hyperconnectivity pattern is reliably detected and specifically present in patients with schizophrenia. These findings implicate cerebello–thalamo–cortical hyperconnectivity as a robust state-independent neural signature for psychosis prediction and characterization.

          Abstract

          Brain function alterations in schizophrenia and other psychotic disorders remain poorly understood. Here, the authors discover that increased neural connectivity in the cerebello-thalamo-cortical circuitry predicts psychosis in those at high risk, and is present in people with schizophrenia.

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          Most cited references48

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          Multi-task connectivity reveals flexible hubs for adaptive task control

          Extensive evidence suggests the human ability to adaptively implement a wide variety of tasks is preferentially due to the operation of a fronto-parietal brain network. We hypothesized that this network’s adaptability is made possible by ‘flexible hubs’ – brain regions that rapidly update their pattern of global functional connectivity according to task demands. We utilized recent advances in characterizing brain network organization and dynamics to identify mechanisms consistent with the flexible hub theory. We found that the fronto-parietal network’s brain-wide functional connectivity pattern shifted more than other networks’ across a variety of task states, and that these connectivity patterns could be used to identify the current task. Further, these patterns were consistent across practiced and novel tasks, suggesting reuse of flexible hub connectivity patterns facilitates adaptive (novel) task performance. Together, these findings support a central role for fronto-parietal flexible hubs in cognitive control and adaptive implementation of task demands generally.
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            The role of the cerebellum in schizophrenia.

            For many years the cerebellum has been considered to serve as a coordinator of motor function. Likewise, for many years schizophrenia has been considered to be a disease that primarily affects the cerebrum. This review summarizes recent evidence that both these views must be revised in the light of emerging evidence about cerebellar function and the mechanisms of schizophrenia. Evidence indicating that the cerebellum plays a role in higher cortical functions is summarized. Evidence indicating that cerebellar abnormalities occur in schizophrenia is also reviewed. These suggest interesting directions for future research.
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              NMDA receptor hypofunction, parvalbumin-positive neurons, and cortical gamma oscillations in schizophrenia.

              Gamma oscillations appear to be dependent on inhibitory neurotransmission from parvalbumin (PV)-containing gamma-amino butyric acid neurons. Thus, the abnormalities in PV neurons found in schizophrenia may underlie the deficits of gamma-band synchrony in the illness. Because gamma-band synchrony is thought to be crucial for cognition, cognitive deficits in schizophrenia may reflect PV neuron dysfunction in cortical neural circuits. Interestingly, it has been suggested that PV alterations in schizophrenia are the consequence of a hypofunction of signaling through N-methyl-D-aspartate (NMDA) receptors (NMDARs). Here, we review recent findings that address the question of how NMDAR hypofunction might produce deficits of PV neuron-mediated inhibition in schizophrenia. We conclude that while dysregulation of NMDARs may play an important role in the pathophysiology of schizophrenia, additional research is required to determine the particular cell type(s) that mediate dysfunctional NMDAR signaling in the illness.
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                Author and article information

                Contributors
                hengyi.cao@yale.edu
                tyrone.cannon@yale.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                21 September 2018
                21 September 2018
                2018
                : 9
                : 3836
                Affiliations
                [1 ]ISNI 0000000419368710, GRID grid.47100.32, Department of Psychology, , Yale University, ; New Haven, CT 06511 USA
                [2 ]ISNI 0000 0000 9632 6718, GRID grid.19006.3e, Department of Psychology, , University of California Los Angeles, ; Los Angeles, CA 90095 USA
                [3 ]ISNI 0000 0000 9632 6718, GRID grid.19006.3e, Department of Psychiatry and Biobehavioral Sciences, , University of California Los Angeles, ; Los Angeles, CA 90095 USA
                [4 ]ISNI 0000 0004 1936 7697, GRID grid.22072.35, Department of Psychiatry, , University of Calgary, ; Calgary, T2N 1N4 Canada
                [5 ]ISNI 0000 0004 1936 7697, GRID grid.22072.35, Departments of Radiology, Clinical Neuroscience and Psychiatry, , University of Calgary, ; Calgary, T2N 1N4 Canada
                [6 ]ISNI 0000 0001 2107 4242, GRID grid.266100.3, Department of Psychiatry, , University of California San Diego, ; San Diego, CA 92093 USA
                [7 ]GRID grid.440243.5, Department of Psychiatry Research, , Zucker Hillside Hospital, ; Glen Oaks, NY 11004 USA
                [8 ]ISNI 0000 0001 2297 6811, GRID grid.266102.1, Department of Psychiatry, , University of California San Francisco, ; San Francisco, CA 94143 USA
                [9 ]ISNI 0000000419368710, GRID grid.47100.32, Department of Psychiatry, , Yale University, ; New Haven, CT 06510 USA
                [10 ]ISNI 0000 0001 1034 1720, GRID grid.410711.2, Department of Psychiatry, , University of North Carolina, ; Chapel Hill, NC 27599 USA
                [11 ]ISNI 000000041936754X, GRID grid.38142.3c, Department of Psychiatry, Beth Israel Deaconess Medical Center, , Harvard Medical School, ; Boston, MA 02115 USA
                [12 ]ISNI 0000 0001 0668 7243, GRID grid.266093.8, Department of Psychiatry and Human Behavior, , University of California Irvine, ; Irvine, CA 92697 USA
                [13 ]ISNI 0000 0001 0941 6502, GRID grid.189967.8, Department of Psychology, , Emory University, ; Atlanta, GA 30322 USA
                Author information
                http://orcid.org/0000-0002-8298-0756
                http://orcid.org/0000-0002-2465-2797
                Article
                6350
                10.1038/s41467-018-06350-7
                6155100
                30242220
                1467e7e8-f1a0-40ff-85b6-61948e1859d2
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 4 May 2018
                : 30 August 2018
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000874, Brain and Behavior Research Foundation (Brain & Behavior Research Foundation);
                Award ID: 27068
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000025, U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH);
                Award ID: P50 MH066286
                Award ID: U01 MH066134
                Award ID: U01 MH081944
                Award ID: U01 MH081857
                Award ID: R01 MH076989
                Award ID: R01 U01 MH066069
                Award ID: U01 MH081928
                Award ID: U01 MH081988
                Award ID: U01 MH82022
                Award ID: U01 MH081902
                Award Recipient :
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