M A Di Biase1, V L Cropley1, B T Baune2, J Olver3, G P Amminger4, C Phassouliotis1, C Bousman1, P D McGorry5, I Everall3, C Pantelis1, A Zalesky1. 1. Department of Psychiatry,Melbourne Neuropsychiatry Centre,The University of Melbourne and Melbourne Health,Carlton South, VIC,Australia. 2. Discipline of Psychiatry,The University of Adelaide,SA,Australia. 3. Department of Psychiatry,The University of Melbourne,Parkville, VIC,Australia. 4. Orygen,The National Centre of Excellence in Youth Mental Health,VIC,Australia. 5. North Western Mental Health,Melbourne Health,Parkville, VIC,Australia.
Abstract
BACKGROUND: White matter disruptions in schizophrenia have been widely reported, but it remains unclear whether these abnormalities differ between illness stages. We mapped the connectome in patients with recently diagnosed and chronic schizophrenia and investigated the extent and overlap of white matter connectivity disruptions between these illness stages. METHODS: Diffusion-weighted magnetic resonance images were acquired in recent-onset (n = 19) and chronic patients (n = 45) with schizophrenia, as well as age-matched controls (n = 87). Whole-brain fiber tracking was performed to quantify the strength of white matter connections. Connections were tested for significant streamline count reductions in recent-onset and chronic groups, relative to separate age-matched controls. Permutation tests were used to assess whether disrupted connections significantly overlapped between chronic and recent-onset patients. Linear regression was performed to test whether connectivity was strongest in controls, weakest in chronic patients, and midway between these extremities in recent-onset patients (controls > recent-onset > chronic). RESULTS: Compared with controls, chronic patients displayed a widespread network of connectivity disruptions (p < 0.01). In contrast, connectivity reductions were circumscribed to the anterior fibers of the corpus callosum in recent-onset patients (p < 0.01). A significant proportion of disrupted connections in recent-onset patients (86%) coincided with disrupted connections in chronic patients (p < 0.01). Linear regression revealed that chronic patients displayed reduced connectivity relative to controls, while recent-onset patients showed an intermediate reduction compared with chronic patients (p < 0.01). CONCLUSIONS: Connectome pathology in recent-onset patients with schizophrenia is confined to select tracts within a more extensive network of white matter connectivity disruptions found in chronic illness. These findings may suggest a trajectory of progressive deterioration of connectivity in schizophrenia.
BACKGROUND:White matter disruptions in schizophrenia have been widely reported, but it remains unclear whether these abnormalities differ between illness stages. We mapped the connectome in patients with recently diagnosed and chronic schizophrenia and investigated the extent and overlap of white matter connectivity disruptions between these illness stages. METHODS: Diffusion-weighted magnetic resonance images were acquired in recent-onset (n = 19) and chronic patients (n = 45) with schizophrenia, as well as age-matched controls (n = 87). Whole-brain fiber tracking was performed to quantify the strength of white matter connections. Connections were tested for significant streamline count reductions in recent-onset and chronic groups, relative to separate age-matched controls. Permutation tests were used to assess whether disrupted connections significantly overlapped between chronic and recent-onset patients. Linear regression was performed to test whether connectivity was strongest in controls, weakest in chronic patients, and midway between these extremities in recent-onset patients (controls > recent-onset > chronic). RESULTS: Compared with controls, chronic patients displayed a widespread network of connectivity disruptions (p < 0.01). In contrast, connectivity reductions were circumscribed to the anterior fibers of the corpus callosum in recent-onset patients (p < 0.01). A significant proportion of disrupted connections in recent-onset patients (86%) coincided with disrupted connections in chronic patients (p < 0.01). Linear regression revealed that chronic patients displayed reduced connectivity relative to controls, while recent-onset patients showed an intermediate reduction compared with chronic patients (p < 0.01). CONCLUSIONS: Connectome pathology in recent-onset patients with schizophrenia is confined to select tracts within a more extensive network of white matter connectivity disruptions found in chronic illness. These findings may suggest a trajectory of progressive deterioration of connectivity in schizophrenia.
Authors: Maria Angelique Di Biase; Vanessa L Cropley; Luca Cocchi; Alexander Fornito; Fernando Calamante; Eleni P Ganella; Christos Pantelis; Andrew Zalesky Journal: Schizophr Bull Date: 2019-06-18 Impact factor: 9.306
Authors: Maria Angelique Di Biase; Fan Zhang; Amanda Lyall; Marek Kubicki; René C W Mandl; Iris E Sommer; Ofer Pasternak Journal: Psychol Med Date: 2019-02-14 Impact factor: 7.723
Authors: Cassandra M J Wannan; Cali F Bartholomeusz; Christos Pantelis; Maria A Di Biase; Warda T Syeda; M Mallar Chakravarty; Chad A Bousman; Ian P Everall; Patrick D McGorry; Andrew Zalesky; Vanessa L Cropley Journal: Eur Arch Psychiatry Clin Neurosci Date: 2021-09-24 Impact factor: 5.760
Authors: Javier Gomez-Pilar; Rodrigo de Luis-García; Alba Lubeiro; Henar de la Red; Jesús Poza; Pablo Núñez; Roberto Hornero; Vicente Molina Journal: Hum Brain Mapp Date: 2018-04-02 Impact factor: 5.038
Authors: Chad A Bousman; Sandra Luza; Serafino G Mancuso; Dali Kang; Carlos M Opazo; Md Shaki Mostaid; Vanessa Cropley; Patrick McGorry; Cynthia Shannon Weickert; Christos Pantelis; Ashley I Bush; Ian P Everall Journal: Sci Rep Date: 2019-02-19 Impact factor: 4.379
Authors: Hua Ye; Andrew Zalesky; Jinglei Lv; Samantha M Loi; Suheyla Cetin-Karayumak; Yogesh Rathi; Ye Tian; Christos Pantelis; Maria A Di Biase Journal: Schizophr Bull Date: 2021-07-08 Impact factor: 9.306
Authors: Javier Gomez-Pilar; Rodrigo de Luis-García; Alba Lubeiro; Nieves de Uribe; Jesús Poza; Pablo Núñez; Marta Ayuso; Roberto Hornero; Vicente Molina Journal: Neuroimage Clin Date: 2018-02-06 Impact factor: 4.881