Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.bpsc.2024.04.008
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dc.titleAtypical Brain Aging and Its Association With Working Memory Performance in Major Depressive Disorder
dc.contributor.authorHo NCW
dc.contributor.authorBethlehem RAI
dc.contributor.authorSeidlitz J
dc.contributor.authorNogovitsyn N
dc.contributor.authorMetzak P
dc.contributor.authorBallester PL
dc.contributor.authorHassel S
dc.contributor.authorRotzinger S
dc.contributor.authorPoppenk J
dc.contributor.authorLam RW
dc.contributor.authorTaylor VH
dc.contributor.authorMilev R
dc.contributor.authorLifespan Brain Chart Consortium
dc.contributor.authorBullmore ET
dc.contributor.authorAlexander-Bloch AF
dc.contributor.authorFrey BN
dc.contributor.authorHarkness KL
dc.contributor.authorAddington J
dc.contributor.authorKennedy SH
dc.contributor.authorDunlop K.
dc.date.accessioned2024-09-30T09:12:31Z
dc.date.available2024-09-30T09:12:31Z
dc.date.issued2024-08-05
dc.identifier.citationHo NCW, Bethlehem RAI, Seidlitz J, Nogovitsyn N, Metzak P, Ballester PL, Hassel S, Rotzinger S, Poppenk J, Lam RW, Taylor VH, Milev R, Lifespan Brain Chart Consortium, Bullmore ET, Alexander-Bloch AF, Frey BN, Harkness KL, Addington J, Kennedy SH, Dunlop K. (2024-08-05). Atypical Brain Aging and Its Association With Working Memory Performance in Major Depressive Disorder. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 9 (8) : 786-799. ScholarBank@NUS Repository. https://doi.org/10.1016/j.bpsc.2024.04.008
dc.identifier.issn2451-9022
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/249817
dc.description.abstractBackground: Patients with major depressive disorder (MDD) can present with altered brain structure and deficits in cognitive function similar to those seen in aging. However, 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 that quantifies normative neurodevelopmental trajectories. Methods: A total of 304 participants with MDD and 236 control participants without depression were recruited and scanned from 3 studies under the Canadian Biomarker Integration Network for Depression. Volumetric data were used to generate brain centile scores, which were examined for 1) differences between participants with MDD and control participants; 2) differences between individuals with versus without severe childhood maltreatment; and 3) correlations with depressive symptom severity, neurocognitive assessment domains, and escitalopram treatment response. Results: Brain centiles were significantly lower in the MDD group than in the control group. Brain centile was also significantly correlated with working memory in the control group but not the MDD group. No significant associations were observed between depression severity or antidepressant treatment response and brain centiles. Likewise, childhood maltreatment history did not significantly affect brain centiles. Conclusions: Consistent with previous 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 for neurocognitive deficits associated with aging-related cognitive function.
dc.publisherElsevier
dc.subjectBrain aging
dc.subjectChildhood maltreatment
dc.subjectEscitalopram
dc.subjectMagnetic resonance imaging
dc.subjectMajor depressive disorder
dc.subjectWorking memory
dc.typeArticle
dc.contributor.departmentORTHOPAEDIC SURGERY
dc.description.doi10.1016/j.bpsc.2024.04.008
dc.description.sourcetitleBiological Psychiatry: Cognitive Neuroscience and Neuroimaging
dc.description.volume9
dc.description.issue8
dc.description.page786-799
dc.published.statePublished
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