Tiziano Colibazzi1, Zhen Yang2, Guillermo Horga1, Yan Chao-Gan3, Cheryl M Corcoran1, Kristin Klahr1, Gary Brucato1, Ragy Girgis1, Anissa Abi-Dargham1, Michael P Milham2, Bradley S Peterson4. 1. Department of Psychiatry, The New York State Psychiatric Institute, Columbia College of Physicians and Surgeons, New York, NY, USA. 2. Child Mind Institute, New York, NY, USA. 3. Key Laboratory of Behavioral Science and Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, China. 4. Institute for the Developing Mind, Children's Hospital Los Angeles and the Keck School of Medicine, University of Southern California.
Abstract
BACKGROUND: Schizophrenia, a neurodevelopmental disorder, involves abnormalities in functional connectivity (FC) across distributed neural networks, which are thought to antedate the emergence of psychosis. In a cohort of adolescents and young adults at clinical high risk (CHR) for psychosis, we applied data-driven approaches to resting-state fMRI data so as to systematically characterize FC abnormalities during this period and determine whether these abnormalities are associated with psychosis risk and severity of psychotic symptoms. METHODS: Fifty-one CHR participants and 47 matched healthy controls (HCs) were included in our analyses. Twelve of these CHR participants developed psychosis within 3.9 years. We estimated one multivariate measure of FC and studied its relationship to CHR status, conversion to psychosis and positive symptom severity. RESULTS: Multivariate analyses revealed between-group differences in whole-brain connectivity patterns of bilateral temporal areas, mostly affecting their functional connections to the thalamus. Further, more severe positive symptoms were associated with greater connectivity abnormalities in the anterior cingulate and frontal cortex. CONCLUSIONS: Our study demonstrates that the well-established FC abnormalities of the thalamus and temporal areas observed in schizophrenia are also present in the CHR period, with aberrant connectivity of the temporal cortex most associated with psychosis risk.
BACKGROUND: Schizophrenia, a neurodevelopmental disorder, involves abnormalities in functional connectivity (FC) across distributed neural networks, which are thought to antedate the emergence of psychosis. In a cohort of adolescents and young adults at clinical high risk (CHR) for psychosis, we applied data-driven approaches to resting-state fMRI data so as to systematically characterize FC abnormalities during this period and determine whether these abnormalities are associated with psychosis risk and severity of psychotic symptoms. METHODS: Fifty-one CHR participants and 47 matched healthy controls (HCs) were included in our analyses. Twelve of these CHR participants developed psychosis within 3.9 years. We estimated one multivariate measure of FC and studied its relationship to CHR status, conversion to psychosis and positive symptom severity. RESULTS: Multivariate analyses revealed between-group differences in whole-brain connectivity patterns of bilateral temporal areas, mostly affecting their functional connections to the thalamus. Further, more severe positive symptoms were associated with greater connectivity abnormalities in the anterior cingulate and frontal cortex. CONCLUSIONS: Our study demonstrates that the well-established FC abnormalities of the thalamus and temporal areas observed in schizophrenia are also present in the CHR period, with aberrant connectivity of the temporal cortex most associated with psychosis risk.
Authors: Alan Anticevic; Xinyu Hu; Yuan Xiao; Junmei Hu; Fei Li; Feng Bi; Michael W Cole; Aleksandar Savic; Genevieve J Yang; Grega Repovs; John D Murray; Xiao-Jing Wang; Xiaoqi Huang; Su Lui; John H Krystal; Qiyong Gong Journal: J Neurosci Date: 2015-01-07 Impact factor: 6.167
Authors: Sungkun Chun; Joby J Westmoreland; Ildar T Bayazitov; Donnie Eddins; Amar K Pani; Richard J Smeyne; Jing Yu; Jay A Blundon; Stanislav S Zakharenko Journal: Science Date: 2014-06-06 Impact factor: 47.728
Authors: Raimo K R Salokangas; Stephan Ruhrmann; Heinrich Graf von Reventlow; Markus Heinimaa; Tanja Svirskis; Tiina From; Sinikka Luutonen; Georg Juckel; Don Linszen; Peter Dingemans; Max Birchwood; Paul Patterson; Frauke Schultze-Lutter; Joachim Klosterkötter Journal: Schizophr Res Date: 2012-03-31 Impact factor: 4.939
Authors: Daqiang Sun; Lisa Phillips; Dennis Velakoulis; Alison Yung; Patrick D McGorry; Stephen J Wood; Theo G M van Erp; Paul M Thompson; Arthur W Toga; Tyrone D Cannon; Christos Pantelis Journal: Schizophr Res Date: 2009-01-12 Impact factor: 4.939
Authors: Oliver D Howes; Subrata K Bose; Federico Turkheimer; Isabel Valli; Alice Egerton; Lucia R Valmaggia; Robin M Murray; Philip McGuire Journal: Am J Psychiatry Date: 2011-07-18 Impact factor: 18.112
Authors: T D Satterthwaite; S N Vandekar; D H Wolf; D S Bassett; K Ruparel; Z Shehzad; R C Craddock; R T Shinohara; T M Moore; E D Gennatas; C Jackson; D R Roalf; M P Milham; M E Calkins; H Hakonarson; R C Gur; R E Gur Journal: Mol Psychiatry Date: 2015-06-02 Impact factor: 15.992
Authors: Cheryl M Corcoran; Vijay A Mittal; Carrie E Bearden; Raquel E Gur; Kasia Hitczenko; Zarina Bilgrami; Aleksandar Savic; Guillermo A Cecchi; Phillip Wolff Journal: Schizophr Res Date: 2020-06-01 Impact factor: 4.939
Authors: Sheeba Arnold Anteraper; Guusje Collin; Xavier Guell; Timothy Scheinert; Elena Molokotos; Maria Toft Henriksen; Raquelle Mesholam-Gately; Heidi W Thermenos; Larry J Seidman; Matcheri S Keshavan; John D E Gabrieli; Susan Whitfield-Gabrieli Journal: Schizophr Res Date: 2019-12-02 Impact factor: 4.939