Spatio-temporal dynamics of resting-state brain networks improve single-subject prediction of schizophrenia diagnosis

Journal article


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
AuthorsAkhil Kottaram, Leigh A. Johnston, Eleni P Ganella, Christos Pantelis, Ramamohanarao Kotagiri and Andrew Zalesky
Abstract

Correlation in functional MRI activity between spatially separated brain regions can fluctuate dynamically when an individual is at rest. These dynamics are typically characterized temporally by measuring fluctuations in functional connectivity between brain regions that remain fixed in space over time. Here, dynamics in functional connectivity were characterized in both time and space. Temporal dynamics were mapped with sliding‐window correlation, while spatial dynamics were characterized by enabling network regions to vary in size (shrink/grow) over time according to the functional connectivity profile of their constituent voxels. These temporal and spatial dynamics were evaluated as biomarkers to distinguish schizophrenia patients from controls, and compared to current biomarkers based on static measures of resting‐state functional connectivity. Support vector machine classifiers were trained using: (a) static, (b) dynamic in time, (c) dynamic in space, and (d) dynamic in time and space characterizations of functional connectivity within canonical resting‐state brain networks. Classifiers trained on functional connectivity dynamics mapped over both space and time predicted diagnostic status with accuracy exceeding 91%, whereas utilizing only spatial or temporal dynamics alone yielded lower classification accuracies. Static measures of functional connectivity yielded the lowest accuracy (79.5%). Compared to healthy comparison individuals, schizophrenia patients generally exhibited functional connectivity that was reduced in strength and more variable. Robustness was established with replication in an independent dataset. The utility of biomarkers based on temporal and spatial functional connectivity dynamics suggests that resting‐state dynamics are not trivially attributable to sampling variability and head motion.

Keywordsdynamic functional connectivity; resting‐state fMRI; schizophrenia; single‐subject predicition; spatio‐temporal dynamics; support vector machine
Year2018
JournalHuman Brain Mapping
Journal citation39 (9), pp. 3663-3681
PublisherJohn Wiley & Sons, Inc.
ISSN1065-9471
Digital Object Identifier (DOI)https://doi.org/10.1002/hbm.24202
Scopus EID2-s2.0-85046727181
Publisher's version
File Access Level
Controlled
Publication process dates
Deposited13 May 2021
Permalink -

https://acuresearchbank.acu.edu.au/item/8w098/spatio-temporal-dynamics-of-resting-state-brain-networks-improve-single-subject-prediction-of-schizophrenia-diagnosis

Restricted files

Publisher's version

  • 57
    total views
  • 0
    total downloads
  • 1
    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
Evidence for network-based cortical thickness reductions in schizophrenia
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
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
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, Yücel, 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