Golia Shafiei1, Ross D Markello1, Carolina Makowski1, Alexandra Talpalaru2, Matthias Kirschner3, Gabriel A Devenyi4, Elisa Guma5, Patric Hagmann6, Neil R Cashman7, Martin Lepage8, M Mallar Chakravarty9, Alain Dagher10, Bratislav Mišić11. 1. McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada; Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada. 2. Department of Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada; Cerebral Imaging Center, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada. 3. McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland. 4. Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Cerebral Imaging Center, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada. 5. Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada; Cerebral Imaging Center, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada. 6. Department of Radiology, Lausanne University Hospital, Lausanne, Switzerland. 7. Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada. 8. Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Cerebral Imaging Center, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada. 9. Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Department of Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada; Cerebral Imaging Center, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada. 10. McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada; Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada. Electronic address: alain.dagher@mcgill.ca. 11. McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada; Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada. Electronic address: bratislav.misic@mcgill.ca.
Abstract
BACKGROUND: There is growing recognition that connectome architecture shapes cortical and subcortical gray matter atrophy across a spectrum of neurological and psychiatric diseases. Whether connectivity contributes to tissue volume loss in schizophrenia in the same manner remains unknown. METHODS: Here, we relate tissue volume loss in patients with schizophrenia to patterns of structural and functional connectivity. Gray matter deformation was estimated in a sample of 133 individuals with chronic schizophrenia (48 women, mean age 34.7 ± 12.9 years) and 113 control subjects (64 women, mean age 23.5 ± 8.4 years). Deformation-based morphometry was used to estimate cortical and subcortical gray matter deformation from T1-weighted magnetic resonance images. Structural and functional connectivity patterns were derived from an independent sample of 70 healthy participants using diffusion spectrum imaging and resting-state functional magnetic resonance imaging. RESULTS: We found that regional deformation is correlated with the deformation of structurally and functionally connected neighbors. Distributed deformation patterns are circumscribed by specific functional systems (the ventral attention network) and cytoarchitectonic classes (limbic class), with an epicenter in the anterior cingulate cortex. CONCLUSIONS: Altogether, the present study demonstrates that brain tissue volume loss in schizophrenia is conditioned by structural and functional connectivity, accounting for 25% to 35% of regional variance in deformation.
BACKGROUND: There is growing recognition that connectome architecture shapes cortical and subcortical gray matter atrophy across a spectrum of neurological and psychiatric diseases. Whether connectivity contributes to tissue volume loss in schizophrenia in the same manner remains unknown. METHODS: Here, we relate tissue volume loss in patients with schizophrenia to patterns of structural and functional connectivity. Gray matter deformation was estimated in a sample of 133 individuals with chronic schizophrenia (48 women, mean age 34.7 ± 12.9 years) and 113 control subjects (64 women, mean age 23.5 ± 8.4 years). Deformation-based morphometry was used to estimate cortical and subcortical gray matter deformation from T1-weighted magnetic resonance images. Structural and functional connectivity patterns were derived from an independent sample of 70 healthy participants using diffusion spectrum imaging and resting-state functional magnetic resonance imaging. RESULTS: We found that regional deformation is correlated with the deformation of structurally and functionally connected neighbors. Distributed deformation patterns are circumscribed by specific functional systems (the ventral attention network) and cytoarchitectonic classes (limbic class), with an epicenter in the anterior cingulate cortex. CONCLUSIONS: Altogether, the present study demonstrates that brain tissue volume loss in schizophrenia is conditioned by structural and functional connectivity, accounting for 25% to 35% of regional variance in deformation.
Authors: Bo-Yong Park; Casey Paquola; Richard A I Bethlehem; Oualid Benkarim; Bratislav Mišić; Jonathan Smallwood; Edward T Bullmore; Boris C Bernhardt Journal: Proc Natl Acad Sci U S A Date: 2022-07-01 Impact factor: 12.779
Authors: Ross D Markello; Justine Y Hansen; Zhen-Qi Liu; Vincent Bazinet; Golia Shafiei; Laura E Suárez; Nadia Blostein; Jakob Seidlitz; Sylvain Baillet; Theodore D Satterthwaite; M Mallar Chakravarty; Armin Raznahan; Bratislav Misic Journal: Nat Methods Date: 2022-10-06 Impact factor: 47.990
Authors: Golia Shafiei; Ross D Markello; Reinder Vos de Wael; Boris C Bernhardt; Ben D Fulcher; Bratislav Misic Journal: Elife Date: 2020-12-17 Impact factor: 8.140
Authors: Sara Larivière; Raúl Rodríguez-Cruces; Jessica Royer; Maria Eugenia Caligiuri; Antonio Gambardella; Luis Concha; Simon S Keller; Fernando Cendes; Clarissa Yasuda; Leonardo Bonilha; Ezequiel Gleichgerrcht; Niels K Focke; Martin Domin; Felix von Podewills; Soenke Langner; Christian Rummel; Roland Wiest; Pascal Martin; Raviteja Kotikalapudi; Terence J O'Brien; Benjamin Sinclair; Lucy Vivash; Patricia M Desmond; Saud Alhusaini; Colin P Doherty; Gianpiero L Cavalleri; Norman Delanty; Reetta Kälviäinen; Graeme D Jackson; Magdalena Kowalczyk; Mario Mascalchi; Mira Semmelroch; Rhys H Thomas; Hamid Soltanian-Zadeh; Esmaeil Davoodi-Bojd; Junsong Zhang; Matteo Lenge; Renzo Guerrini; Emanuele Bartolini; Khalid Hamandi; Sonya Foley; Bernd Weber; Chantal Depondt; Julie Absil; Sarah J A Carr; Eugenio Abela; Mark P Richardson; Orrin Devinsky; Mariasavina Severino; Pasquale Striano; Domenico Tortora; Sean N Hatton; Sjoerd B Vos; John S Duncan; Christopher D Whelan; Paul M Thompson; Sanjay M Sisodiya; Andrea Bernasconi; Angelo Labate; Carrie R McDonald; Neda Bernasconi; Boris C Bernhardt Journal: Sci Adv Date: 2020-11-18 Impact factor: 14.136