Assessing remission in major depressive disorder using a functional-structural data fusion pipeline: A CAN-BIND-1 study

Sondos Ayyash; Andrew D. Davis; Gésine L. Alders; Glenda MacQueen; Stephen C. Strother; Stefanie Hassel; Mojdeh Zamyadi; Stephen R. Arnott; Jacqueline K. Harris; Raymond W. Lam; Roumen Milev; Daniel J. Müller; Sidney H. Kennedy; Susan Rotzinger; Benicio N. Frey; Luciano Minuzzi; Geoffrey B. Hall

IBRO Neuroscience Reports (Jun 2024)

Assessing remission in major depressive disorder using a functional-structural data fusion pipeline: A CAN-BIND-1 study

Sondos Ayyash,
Andrew D. Davis,
Gésine L. Alders,
Glenda MacQueen,
Stephen C. Strother,
Stefanie Hassel,
Mojdeh Zamyadi,
Stephen R. Arnott,
Jacqueline K. Harris,
Raymond W. Lam,
Roumen Milev,
Daniel J. Müller,
Sidney H. Kennedy,
Susan Rotzinger,
Benicio N. Frey,
Luciano Minuzzi,
Geoffrey B. Hall

Affiliations

Sondos Ayyash: School of Biomedical Engineering, McMaster University, Hamilton, Ontario, Canada; Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, Ontario, Canada
Andrew D. Davis: Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada; Rotman Research Institute, Baycrest, Toronto, Ontario, Canada
Gésine L. Alders: Neuroscience Graduate Program, McMaster University, Hamilton, Ontario, Canada
Glenda MacQueen: Hotchkiss Brain Institute and Mathison Centre for Mental Health Research and Education, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
Stephen C. Strother: Rotman Research Institute, Baycrest, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Department of Medical Biophysics, University of Toronto, Ontario, Canada
Stefanie Hassel: Hotchkiss Brain Institute and Mathison Centre for Mental Health Research and Education, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
Mojdeh Zamyadi: Rotman Research Institute, Baycrest, Toronto, Ontario, Canada
Stephen R. Arnott: Rotman Research Institute, Baycrest, Toronto, Ontario, Canada
Jacqueline K. Harris: Department of Computer Science, University of Alberta, Edmonton, Alberta, Canada
Raymond W. Lam: Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
Roumen Milev: Departments of Psychiatry and Psychology, Queen's University, Providence Care Hospital, Kingston, Ontario, Canada
Daniel J. Müller: Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
Sidney H. Kennedy: Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Centre for Mental Health, University Health Network, Toronto, Ontario, Canada; Krembil Research Institute, University Health Network, Toronto, Ontario, Canada; Centre for Depression and Suicide Studies, and Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
Susan Rotzinger: Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Krembil Research Institute, University Health Network, Toronto, Ontario, Canada; Centre for Depression and Suicide Studies, and Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
Benicio N. Frey: Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada; Neuroscience Graduate Program, McMaster University, Hamilton, Ontario, Canada; Mood Disorders Treatment and Research Centre and Women's Health Concerns Clinic, St. Joseph's Healthcare, Hamilton, Ontario, Canada
Luciano Minuzzi: Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada; Neuroscience Graduate Program, McMaster University, Hamilton, Ontario, Canada; Mood Disorders Treatment and Research Centre and Women's Health Concerns Clinic, St. Joseph's Healthcare, Hamilton, Ontario, Canada
Geoffrey B. Hall: School of Biomedical Engineering, McMaster University, Hamilton, Ontario, Canada; Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, Ontario, Canada; Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada; Neuroscience Graduate Program, McMaster University, Hamilton, Ontario, Canada; Corresponding author at: Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, Ontario, Canada.

Journal volume & issue: Vol. 16
pp. 135 – 146

Abstract

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Neural network-level changes underlying symptom remission in major depressive disorder (MDD) are often studied from a single perspective. Multimodal approaches to assess neuropsychiatric disorders are evolving, as they offer richer information about brain networks. A FATCAT-awFC pipeline was developed to integrate a computationally intense data fusion method with a toolbox, to produce a faster and more intuitive pipeline for combining functional connectivity with structural connectivity (denoted as anatomically weighted functional connectivity (awFC)). Ninety-three participants from the Canadian Biomarker Integration Network for Depression study (CAN-BIND-1) were included. Patients with MDD were treated with 8 weeks of escitalopram and adjunctive aripiprazole for another 8 weeks. Between-group connectivity (SC, FC, awFC) comparisons contrasted remitters (REM) with non-remitters (NREM) at baseline and 8 weeks. Additionally, a longitudinal study analysis was performed to compare connectivity changes across time for REM, from baseline to week-8. Association between cognitive variables and connectivity were also assessed. REM were distinguished from NREM by lower awFC within the default mode, frontoparietal, and ventral attention networks. Compared to REM at baseline, REM at week-8 revealed increased awFC within the dorsal attention network and decreased awFC within the frontoparietal network. A medium effect size was observed for most results. AwFC in the frontoparietal network was associated with neurocognitive index and cognitive flexibility for the NREM group at week-8. In conclusion, the FATCAT-awFC pipeline has the benefit of providing insight on the ‘full picture’ of connectivity changes for REMs and NREMs while making for an easy intuitive approach.

Published in IBRO Neuroscience Reports

ISSN: 2667-2421 (Online)
Publisher: Elsevier
Country of publisher: United Kingdom
LCC subjects: Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry
Website: https://www.journals.elsevier.com/ibro-neuroscience-reports

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