Evidence for network-based cortical thickness reductions in schizophrenia

Journal article


Wannan, Cassandra M. J., Cropley, Vanessa L., Chakravarty, M. Mallar, Bousman, Chad, Ganella, Eleni P., Bruggemann, Jason M., Weickert, Thomas W., Weickert, Cynthia Shannon, Everall, Ian, McGorry, Patrick, Velakoulis, Dennis, Wood, Stephen J., Bartholomeusz, Cali F., Pantelis, Christos and Zalesky, Andrew. (2019). Evidence for network-based cortical thickness reductions in schizophrenia. American Journal of Psychiatry. 176(7), pp. 552-563. https://doi.org/10.1176/appi.ajp.2019.18040380
AuthorsWannan, Cassandra M. J., Cropley, Vanessa L., Chakravarty, M. Mallar, Bousman, Chad, Ganella, Eleni P., Bruggemann, Jason M., Weickert, Thomas W., Weickert, Cynthia Shannon, Everall, Ian, McGorry, Patrick, Velakoulis, Dennis, Wood, Stephen J., Bartholomeusz, Cali F., Pantelis, Christos and Zalesky, Andrew
Abstract

Objective:
Cortical thickness reductions in schizophrenia are irregularly distributed across multiple loci. The authors hypothesized that cortical connectivity networks would explain the distribution of cortical thickness reductions across the cortex, and, specifically, that cortico-cortical connectivity between loci with these reductions would be exceptionally strong and form an interconnected network. This hypothesis was tested in three cross-sectional schizophrenia cohorts: first-episode psychosis, chronic schizophrenia, and treatment-resistant schizophrenia.

Methods:
Structural brain images were acquired for 70 patients with first-episode psychosis, 153 patients with chronic schizophrenia, and 47 patients with treatment-resistant schizophrenia and in matching healthy control groups (N=57, N=168, and N=54, respectively). Cortical thickness was compared between the patient and respective control groups at 148 regions spanning the cortex. Structural connectivity strength between pairs of cortical regions was quantified with structural covariance analysis. Connectivity strength between regions with cortical thickness reductions was compared with connectivity strength between 5,000 sets of randomly chosen regions to establish whether regions with reductions were interconnected more strongly than would be expected by chance.

Results:
Significant (false discovery rate corrected) and widespread cortical thickness reductions were found in the chronic schizophrenia (79 regions) and treatment-resistant schizophrenia (106 regions) groups, with more circumscribed reductions in the first-episode psychosis group (34 regions). Cortical thickness reductions with the largest effect sizes were found in frontal, temporal, cingulate, and insular regions. In all cohorts, both the patient and healthy control groups showed significantly increased structural covariance between regions with cortical thickness reductions compared with randomly selected regions.

Conclusions:
Brain network architecture can explain the irregular topographic distribution of cortical thickness reductions in schizophrenia. This finding, replicated in three distinct schizophrenia cohorts, suggests that the effect is robust and independent of illness stage.

Keywordsstructural neuroimaging; schizophrenia; brain connectivity; structural covariance; cortical thickness; network
Year2019
JournalAmerican Journal of Psychiatry
Journal citation176 (7), pp. 552-563
PublisherAmerican Psychiatric Association
ISSN0002-953X
Digital Object Identifier (DOI)https://doi.org/10.1176/appi.ajp.2019.18040380
Scopus EID2-s2.0-85068874385
Research or scholarlyResearch
Page range552-563
FunderNational Health and Medical Research Council (NHMRC)
Publisher's version
License
All rights reserved
File Access Level
Controlled
Output statusPublished
Publication dates
Online05 Jun 2019
Publication process dates
Accepted22 Jan 2019
Deposited10 Jul 2021
Grant IDNHMRC/1117079
NHMRC/1127700
NHMRC/628386
NHMRC/1105825
NHMRC/1136649
Permalink -

https://acuresearchbank.acu.edu.au/item/8w57q/evidence-for-network-based-cortical-thickness-reductions-in-schizophrenia

Restricted files

Publisher's version

  • 38
    total views
  • 1
    total downloads
  • 0
    views this month
  • 0
    downloads this month
These values are for the period from 19th October 2020, when this repository was created.

Export as

Related outputs

Predicting individual improvement in schizophrenia symptom severity at 1-year follow-up : Comparison of connectomic, structural, and clinical predictors
Kottaram, Akhil, Johnston, Leigh A., Tian, Ye, Ganella, Eleni P., Laskaris, Liliana, Cocchi, Luca, McGorry, Patrick, Pantelis, Christos, Kotagiri, Ramamohanarao, Cropley, Vanessa and Zalesky, Andrew. (2020). Predicting individual improvement in schizophrenia symptom severity at 1-year follow-up : Comparison of connectomic, structural, and clinical predictors. Human Brain Mapping. 41(12), pp. 3342-3357. https://doi.org/10.1002/hbm.25020
Does cortical brain morphology act as a mediator between childhood trauma and transition to psychosis in young individuals at ultra-high risk?
Rapado-Castro, Marta, Whittle, Sarah, Pantelis, Christos, Thompson, Andrew, Nelson, Barnaby, Ganella, Eleni P., Lin, Ashleigh, Reniers, Renate L. E. P., McGorry, Patrick D., Yung, Alison R., Wood, Stephen J. and Bartholomeusz, Cali F.. (2020). Does cortical brain morphology act as a mediator between childhood trauma and transition to psychosis in young individuals at ultra-high risk? Schizophrenia Research. 224, pp. 116-125. https://doi.org/10.1016/j.schres.2020.09.017
Linking cortical and connectional pathology in Schizophrenia
Di Biase, Maria Angelique, Cropley, Vanessa L., Cocchi, Luca, Fornito, Alexander, Calamante, Fernando, Ganella, Eleni P., Pantelis, Christos and Zalesky, Andrew. (2019). Linking cortical and connectional pathology in Schizophrenia. Schizophrenia Bulletin. 45(4), pp. 911-923. https://doi.org/10.1093/schbul/sby121
Brain network dynamics in schizophrenia: Reduced dynamism of the default mode network
Kottaram, Akhil, Johnston, Leigh A., Cocchi, Luca, Ganella, Eleni P., Everall, Ian, Pantelis, Christos, Kotagiri, Ramamohanarao and Zalesky, Andrew. (2019). Brain network dynamics in schizophrenia: Reduced dynamism of the default mode network. Human Brain Mapping. 40(7), pp. 2212 - 2228. https://doi.org/10.1002/hbm.24519
Spatio-temporal dynamics of resting-state brain networks improve single-subject prediction of schizophrenia diagnosis
Akhil Kottaram, Leigh A. Johnston, Eleni P Ganella, Christos Pantelis, Ramamohanarao Kotagiri and Andrew Zalesky. (2018). Spatio-temporal dynamics of resting-state brain networks improve single-subject prediction of schizophrenia diagnosis. Human Brain Mapping. 39(9), pp. 3663-3681. https://doi.org/10.1002/hbm.24202
Risk and resilience brain networks in treatment-resistant schizophrenia
Eleni P Ganella, Caio Seguin, Cali F Bartholomeusz, Sarah Whittle, Chad Bousman, Cassandra M.J. Wannan, Maria Angelique Di Biase, Christina Phassouliotis, I P Everall, Christos Pantelis and Andrew Zalesky. (2018). Risk and resilience brain networks in treatment-resistant schizophrenia. Schizophrenia Research. 193, pp. 284-292. https://doi.org/10.1016/j.schres.2017.07.014
Resting-state functional brain networks in first-episode psychosis: A 12-month follow-up study
Eleni P Ganella, Caio Seguin, Christos Pantelis, Sarah Whittle, Bernhard T Baune, James Olver, G Paul Amminger, Patrick D. McGorry, Vanessa L. Cropley, Andrew Zalesky and Cali F Bartholomeusz. (2018). Resting-state functional brain networks in first-episode psychosis: A 12-month follow-up study. Australian and New Zealand Journal of Psychiatry. 52(9), pp. 864-875. https://doi.org/10.1177/0004867418775833
Extinction of conditioned fear in adolescents and adults: A human fmri study
Despina E. Ganella, Katherine D. Drummond, Eleni P Ganella, Sarah Whittle and Jee Hyun Kim. (2018). Extinction of conditioned fear in adolescents and adults: A human fmri study. Frontiers in Human Neuroscience. 11, pp. 1-13. https://doi.org/10.3389/fnhum.2017.00647
An fMRI study of theory of mind in individuals with first episode psychosis
Cali F Bartholomeusz, Eleni P Ganella, Sarah Whittle, Kelly Allott, Andrew Thompson, Ahmad Abu-Akel, Henrik Walter, Patrick D. McGorry, Eoin Killackey, Christos Pantelis and Stephen J. Wood. (2018). An fMRI study of theory of mind in individuals with first episode psychosis. Psychiatry Research: Neuroimaging. 281, pp. 1-11. https://doi.org/10.1016/j.pscychresns.2018.08.011
Functional brain networks in treatment-resistant schizophrenia
Ganella, Eleni P., Bartholomeusz, Cali F., Seguin, Caio, Whittle, Sarah, Bousman, Chad, Phassouliotis, Christina, Everall, Ian, Pantelis, Christos and Zalesky, Andrew. (2017). Functional brain networks in treatment-resistant schizophrenia. Schizophrenia Research. 184, pp. 73-81. https://doi.org/10.1016/j.schres.2016.12.008
Role of orbitofrontal sulcogyral pattern on lifetime cannabis use and depressive symptoms
Chye, Yann, Solowij, Nadia, Ganella, Eleni P., Suo, Chao, YĆ¼cel, Murat, Batalla, Albert, Cousijn, Janna, Goudriaan, Anna E., Martin-Santos, Rocio, Whittle, Sarah, Bartholomeusz, Cali F. and Lorenzetti, Valentina. (2017). Role of orbitofrontal sulcogyral pattern on lifetime cannabis use and depressive symptoms. Progress in Neuropsychopharmacology and Biological Psychiatry. 79, pp. 392 - 400. https://doi.org/10.1016/j.pnpbp.2017.07.017
Abnormalities in orbitofrontal cortex gyrification and mental health outcomes in adolescents born extremely preterm and/or at an extremely low birth weight
Ganella, Eleni P., Burnett, Alice, Cheong, Jeanie, Thompson, Deanne, Roberts, Gehan, Wood, Stephen, Lee, Katherine, Duff, Julianne, Anderson, Peter J., Pantelis, Christos, Doyle, Lex W., Bartholomeusz, Cali and on behalf of the Victorian Infant Collaborative Study, Group. (2015). Abnormalities in orbitofrontal cortex gyrification and mental health outcomes in adolescents born extremely preterm and/or at an extremely low birth weight. Human Brain Mapping. 36(3), pp. 1138-1150.
Effects of oxytocin and genetic variants on brain and behaviour : Implications for treatment in schizophrenia
Bartholomeusz, Cali, Ganella, Eleni, Labuschagne, Izelle, Bousman, Chad and Pantelis, Christos. (2015). Effects of oxytocin and genetic variants on brain and behaviour : Implications for treatment in schizophrenia. Schizophrenia Research. 168(3), pp. 614 - 627. https://doi.org/10.1016/j.schres.2015.06.007