TY - JOUR
T1 - Atypical Brain Aging and Its Association With Working Memory Performance in Major Depressive Disorder
AU - Ho, Natalie C.W.
AU - Bethlehem, Richard A.I.
AU - Seidlitz, Jakob
AU - Nogovitsyn, Nikita
AU - Metzak, Paul
AU - Ballester, Pedro L.
AU - Hassel, Stefanie
AU - Rotzinger, Susan
AU - Poppenk, Jordan
AU - Lam, Raymond W.
AU - Taylor, Valerie H.
AU - Milev, Roumen
AU - Adamson, Chris
AU - Adler, Sophie
AU - Alexander-Bloch, Aaron F.
AU - Anagnostou, Evdokia
AU - Anderson, Kevin M.
AU - Areces-Gonzalez, Ariosky
AU - Astle, Duncan E.
AU - Auyeung, Bonnie
AU - Ayub, Muhammad
AU - Bae, Jong Bin
AU - Ball, Gareth
AU - Baron-Cohen, Simon
AU - Beare, Richard
AU - Bedford, Saashi A.
AU - Benegal, Vivek
AU - Beyer, Frauke
AU - Blangero, John
AU - Cábez, Manuel Blesa
AU - Boardman, James P.
AU - Borzage, Matthew
AU - Bosch-Bayard, Jorge F.
AU - Bourke, Niall
AU - Bullmore, Edward T.
AU - Calhoun, Vince D.
AU - Chakravarty, Mallar M.
AU - Chen, Christina
AU - Chertavian, Casey
AU - Chetelat, Gaël
AU - Chong, Yap S.
AU - Corvin, Aiden
AU - Costantino, Manuela
AU - Courchesne, Eric
AU - Crivello, Fabrice
AU - Cropley, Vanessa L.
AU - Crosbie, Jennifer
AU - Crossley, Nicolas
AU - Delarue, Marion
AU - Kahn, Rene S.
N1 - Publisher Copyright:
© 2024 Society of Biological Psychiatry
PY - 2024/8
Y1 - 2024/8
N2 - Background: 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.
AB - Background: 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.
KW - Brain aging
KW - Childhood maltreatment
KW - Escitalopram
KW - Magnetic resonance imaging
KW - Major depressive disorder
KW - Working memory
UR - http://www.scopus.com/inward/record.url?scp=85197379355&partnerID=8YFLogxK
U2 - 10.1016/j.bpsc.2024.04.008
DO - 10.1016/j.bpsc.2024.04.008
M3 - Article
C2 - 38679324
AN - SCOPUS:85197379355
SN - 2451-9022
VL - 9
SP - 786
EP - 799
JO - Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
JF - Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
IS - 8
ER -