학술논문
Atypical brain aging and its association with working memory performance in major depressive disorder.
Document Type
Academic Journal
Author
Ho NCW; Keenan Research Centre for Biomedical Research, Unity Health Toronto, Toronto, Canada; Centre for Depression & Suicide Studies, Unity Health Toronto, Toronto, Canada; Faculty of Arts and Sciences, University of Toronto, Toronto, Canada.; Bethlehem RA; Department of Psychology, University of Cambridge, Cambridge, UK.; Seidlitz J; Department of Psychiatry, University of Pennsylvania, Philadelphia, USA; Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, USA; Lifespan Brain Institute, The Children's Hospital of Philadelphia, Philadelphia, USA; Institute of Translational Medicine & Therapeutics, University of Pennsylvania, Philadelphia, USA.; Nogovitsyn N; Centre for Depression & Suicide Studies, Unity Health Toronto, Toronto, Canada.; Metzak P; Department of Psychiatry, University of Calgary, Calgary, Canada.; Ballester PL; Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada.; Hassel S; Department of Psychiatry, University of Calgary, Calgary, Canada; Hotchkiss Brain Institute and Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, Alberta, Canada.; Rotzinger S; Keenan Research Centre for Biomedical Research, Unity Health Toronto, Toronto, Canada; Centre for Depression & Suicide Studies, Unity Health Toronto, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada; Mood Disorders Treatment and Research Centre, St. Joseph's Healthcare, Hamilton, Canada; Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada.; Poppenk J; Centre for Neuroscience Studies, Queen's University, Kingston, Canada; Department of Psychology, Queen's University, Kingston, Canada; School of Computing, Queen's University, Kingston, Canada.; Lam RW; Department of Psychiatry, University of British Columbia, Vancouver, Canada.; Taylor VH; Department of Psychiatry, University of Calgary, Calgary, Canada; Hotchkiss Brain Institute and Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, Alberta, Canada.; Milev R; Department of Psychology, Queen's University, Kingston, Canada; Department of Psychiatry, Queen's University, Kingston, Canada; Providence Care Hospital, Kingston, Canada.; Bullmore ET; Department of Psychiatry, University of Cambridge, Cambridge, UK.; Alexander-Bloch AF; Department of Psychiatry, University of Pennsylvania, Philadelphia, USA; Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, USA; Lifespan Brain Institute, The Children's Hospital of Philadelphia, Philadelphia, USA; Institute of Translational Medicine & Therapeutics, University of Pennsylvania, Philadelphia, USA.; Frey BN; Mood Disorders Treatment and Research Centre, St. Joseph's Healthcare, Hamilton, Canada; Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada.; Harkness KL; Department of Psychology, Queen's University, Kingston, Canada; Department of Psychiatry, Queen's University, Kingston, Canada.; Addington J; Department of Psychiatry, University of Calgary, Calgary, Canada; Hotchkiss Brain Institute and Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, Alberta, Canada.; Kennedy SH; Keenan Research Centre for Biomedical Research, Unity Health Toronto, Toronto, Canada; Centre for Depression & Suicide Studies, Unity Health Toronto, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada.; Dunlop K; Keenan Research Centre for Biomedical Research, Unity Health Toronto, Toronto, Canada; Centre for Depression & Suicide Studies, Unity Health Toronto, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada. Electronic address: katharine.dunlop@unityhealth.to.
Source
Publisher: Elsevier, Inc Country of Publication: United States NLM ID: 101671285 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2451-9030 (Electronic) Linking ISSN: 24519022 NLM ISO Abbreviation: Biol Psychiatry Cogn Neurosci Neuroimaging Subsets: MEDLINE
Subject
Language
English
Abstract
Background: Patients with major depressive disorder (MDD) can present with altered brain structure and deficits in cognitive function similar to aging. Yet, the interaction between age-related brain changes and brain development in MDD remains understudied. In a cohort of adolescents and adults with and without MDD, we assessed brain aging differences and associations through a newly developed tool quantifying normative neurodevelopmental trajectories.
Methods: 304 MDD participants and 236 non-depressed controls were recruited and scanned from three studies under the Canadian Biomarker Integration Network for Depression. Volumetric data were used to generate brain centile scores, which were examined for: a) differences in MDD relative to controls; b) differences in individuals with versus without severe childhood maltreatment; and c) correlations with depressive symptom severity, neurocognitive assessment domains, or escitalopram treatment response.
Results: Brain centiles were significantly lower in the MDD group compared to controls. It was also significantly correlated with working memory in controls, but not the MDD group. No significant associations were observed in depression severity or antidepressant treatment response with brain centiles. Likewise, childhood maltreatment history did not significantly affect brain centiles.
Conclusions: Consistent with prior work on machine learning models that predict "brain age", brain centile scores differed in people diagnosed with MDD, and MDD was associated with differential relationships between centile scores and working memory. The results support the notion of atypical development and aging in MDD, with implications on neurocognitive deficits associated with aging-related cognitive function.
(Copyright © 2024. Published by Elsevier Inc.)
Methods: 304 MDD participants and 236 non-depressed controls were recruited and scanned from three studies under the Canadian Biomarker Integration Network for Depression. Volumetric data were used to generate brain centile scores, which were examined for: a) differences in MDD relative to controls; b) differences in individuals with versus without severe childhood maltreatment; and c) correlations with depressive symptom severity, neurocognitive assessment domains, or escitalopram treatment response.
Results: Brain centiles were significantly lower in the MDD group compared to controls. It was also significantly correlated with working memory in controls, but not the MDD group. No significant associations were observed in depression severity or antidepressant treatment response with brain centiles. Likewise, childhood maltreatment history did not significantly affect brain centiles.
Conclusions: Consistent with prior work on machine learning models that predict "brain age", brain centile scores differed in people diagnosed with MDD, and MDD was associated with differential relationships between centile scores and working memory. The results support the notion of atypical development and aging in MDD, with implications on neurocognitive deficits associated with aging-related cognitive function.
(Copyright © 2024. Published by Elsevier Inc.)