BACKGROUND: Systems level modeling of functional magnetic resonance imaging data has demonstrated dysfunction of several large-scale brain networks in schizophrenia. Anomalies across multiple functional networks associated with schizophrenia could be due to diffuse pathology across multiple networks or, alternatively, dysfunction at converging control(s) common to these networks. The right anterior insula has been shown to modulate activity in the central executive and default mode networks in healthy individuals. We tested the hypothesis that right anterior insula modulation of central executive and default mode networks is disrupted in schizophrenia and associated with cognitive deficits. METHODS: In 44 patients with schizophrenia and 44 healthy control subjects, we used seed-based resting state functional connectivity functional magnetic resonance imaging analysis to examine connectivity between right insular subregions and central executive/default mode network regions. We also performed two directed connectivity analyses of resting state data: Granger analysis and confirmatory structural equation modeling. Between-group differences in path coefficients were used to evaluate anterior insula modulation of central executive and default mode networks. Cognitive performance was assessed with the rapid visual information processing task, a test of sustained attention. RESULTS: With multiple connectivity techniques, we found compelling, corroborative evidence of disruption of right anterior insula modulation of central executive and default mode networks in patients with schizophrenia. The strength of right anterior insula modulation of these networks predicted cognitive performance. CONCLUSIONS: Individuals with schizophrenia have impaired right anterior insula modulation of large-scale brain networks. The right anterior insula might be an emergent pathophysiological gateway in schizophrenia.
BACKGROUND: Systems level modeling of functional magnetic resonance imaging data has demonstrated dysfunction of several large-scale brain networks in schizophrenia. Anomalies across multiple functional networks associated with schizophrenia could be due to diffuse pathology across multiple networks or, alternatively, dysfunction at converging control(s) common to these networks. The right anterior insula has been shown to modulate activity in the central executive and default mode networks in healthy individuals. We tested the hypothesis that right anterior insula modulation of central executive and default mode networks is disrupted in schizophrenia and associated with cognitive deficits. METHODS: In 44 patients with schizophrenia and 44 healthy control subjects, we used seed-based resting state functional connectivity functional magnetic resonance imaging analysis to examine connectivity between right insular subregions and central executive/default mode network regions. We also performed two directed connectivity analyses of resting state data: Granger analysis and confirmatory structural equation modeling. Between-group differences in path coefficients were used to evaluate anterior insula modulation of central executive and default mode networks. Cognitive performance was assessed with the rapid visual information processing task, a test of sustained attention. RESULTS: With multiple connectivity techniques, we found compelling, corroborative evidence of disruption of right anterior insula modulation of central executive and default mode networks in patients with schizophrenia. The strength of right anterior insula modulation of these networks predicted cognitive performance. CONCLUSIONS: Individuals with schizophrenia have impaired right anterior insula modulation of large-scale brain networks. The right anterior insula might be an emergent pathophysiological gateway in schizophrenia.
Authors: Abigail G Garrity; Godfrey D Pearlson; Kristen McKiernan; Dan Lloyd; Kent A Kiehl; Vince D Calhoun Journal: Am J Psychiatry Date: 2007-03 Impact factor: 18.112
Authors: Steven M Nelson; Nico U F Dosenbach; Alexander L Cohen; Mark E Wheeler; Bradley L Schlaggar; Steven E Petersen Journal: Brain Struct Funct Date: 2010-05-29 Impact factor: 3.270
Authors: Hu Cheng; Sharlene Newman; Joaquín Goñi; Jerillyn S Kent; Josselyn Howell; Amanda Bolbecker; Aina Puce; Brian F O'Donnell; William P Hetrick Journal: Schizophr Res Date: 2015-08-20 Impact factor: 4.939
Authors: James A Waltz; Jaime K Brown; James M Gold; Thomas J Ross; Betty J Salmeron; Elliot A Stein Journal: Schizophr Bull Date: 2015-04-01 Impact factor: 9.306
Authors: Jason Smucny; Korey P Wylie; Eugene Kronberg; Kristina T Legget; Jason R Tregellas Journal: J Psychiatr Res Date: 2017-02-03 Impact factor: 4.791
Authors: Lauren V Moran; Luke E Stoeckel; Kristina Wang; Carolyn E Caine; Rosemond Villafuerte; Vanessa Calderon; Justin T Baker; Dost Ongur; Amy C Janes; A Eden Evins; Diego A Pizzagalli Journal: Psychopharmacology (Berl) Date: 2017-11-27 Impact factor: 4.530
Authors: Tyler M Moore; Monica E Calkins; Theodore D Satterthwaite; David R Roalf; Adon F G Rosen; Ruben C Gur; Raquel E Gur Journal: J Psychiatr Res Date: 2019-06-01 Impact factor: 4.791
Authors: Julia M Sheffield; Grega Repovs; Michael P Harms; Cameron S Carter; James M Gold; Angus W MacDonald; J Daniel Ragland; Steven M Silverstein; Douglass Godwin; Deanna M Barch Journal: Neuropsychologia Date: 2015-05-13 Impact factor: 3.139