1. Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group
- Author
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Thomas Frodl, Eduard Vieta, Sean N. Hatton, Sophia I. Thomopoulos, Jens Sommer, Fábio L.S. Duran, Pauline Favre, Cynthia H.Y. Fu, Tony T. Yang, Knut Schnell, Tilo Kircher, Gloria Roberts, Lyubomir I. Aftanas, Norbert Hosten, Elena Pozzi, Henrik Walter, Pedro G.P. Rosa, Oliver Gruber, Colm G. Connolly, Klaus Berger, Jonathan Repple, Geraldo Busatto Filho, Tomas Hajek, Bernd Kramer, Salvador Sarró, Ulrik Fredrik Malt, Richard Dinga, Danai Dima, Mikael Landén, Laura K.M. Han, Jonathan Savitz, Peter R. Schofield, Axel Krug, Maria M. Rive, Caterina del Mar Bonnín, Edith Pomarol-Clotet, Olaf Steinsträter, Chantal Henry, Udo Dannlowski, Henricus G. Ruhé, Mauricio H. Serpa, Quinn McLellan, Benson Mwangi, Philipp G. Saemann, Christopher G. Davey, Marie-José van Tol, Mircea Polosan, Torbjørn Elvsåshagen, Nynke A. Groenewold, Marcus V. Zanetti, Claas Kähler, Jair C. Soares, Steven J.A. van der Werff, Kathryn R. Cullen, Lachlan T. Strike, Ilya M. Veer, Beata R. Godlewska, Giovana Zunta-Soares, Xavier Caseras, Janice M. Fullerton, Bronwyn Overs, Tiffany M. Chaim-Avancini, Lisa T. Eyler, Theodore D. Satterthwaite, Martin Ingvar, Ramona Leenings, Angela Carballedo, Brenda W.J.H. Penninx, Ian B. Hickie, James H. Cole, Elena Filimonova, Márcio Gerhardt Soeiro-de-Souza, Rayus Kuplicki, Leila Nabulsi, Ben J. Harrison, Aart H. Schene, Ivan V. Brak, Nic J.A. van der Wee, Hans J. Grabe, Katharina Wittfeld, Anouk Schrantee, Matthew D. Sacchet, Margaret J. Wright, Dan J. Stein, Erlend Bøen, Heather C. Whalley, Egle Simulionyte, Fleur M. Howells, Tim Hahn, Lianne Schmaal, Garrett M. Timmons, Bartholomeus C M Haarman, Kang Sim, Andrew M. McIntosh, Moji Aghajani, Jim Lagopoulos, Anne Uhlmann, Rodrigo Machado-Vieira, Jose Manuel Goikolea, Mon-Ju Wu, Christopher R.K. Ching, Dara M. Cannon, Liesbeth Reneman, Andreas Jansen, Josselin Houenou, Ian H. Gotlib, Bonnie Klimes-Dougan, Raymond Salvador, Maria J. Portella, Ole A. Andreassen, Greig I. de Zubicaray, Robert Vermeiren, Bryon A. Mueller, Nils R. Winter, Dick J. Veltman, Neda Jahanshad, Stefan Frenzel, Philip B. Mitchell, Colm McDonald, Henry Völzke, Daniel H. Wolf, Katie L. McMahon, Evgeny Osipov, Marco Hermesdorf, Tiffany C. Ho, Bernhard T. Baune, Paul M. Thompson, Glenda MacQueen, Andre F. Marquand, Maria Concepcion Garcia Otaduy, Vasileios Zannias, Christoph Abé, Ashley N. Sutherland, Sarah E. Medland, Beny Lafer, Erick J. Canales-Rodríguez, Geoffrey B. Hall, Martin Alda, Henk Temmingh, Sonya Foley, Verena Enneking, Frank P. MacMaster, Dominik Grotegerd, Joaquim Radua, Baptiste Couvy-Duchesne, André Aleman, Radiology and Nuclear Medicine, ANS - Brain Imaging, ANS - Compulsivity, Impulsivity & Attention, APH - Personalized Medicine, APH - Mental Health, Ontwikkelingspsychologie (Psychologie, FMG), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Clinical Neuropsychology, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Psychiatry, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Radiology and nuclear medicine, Pediatric surgery, Amsterdam Reproduction & Development (AR&D), Anatomy and neurosciences, Amsterdam Neuroscience - Brain Imaging, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Neuroscience - Complex Trait Genetics, and APH - Digital Health
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Adult ,Male ,medicine.medical_specialty ,Aging ,Adolescent ,Stress-related disorders Donders Center for Medical Neuroscience [Radboudumc 13] ,BF ,Health outcomes ,Article ,Cellular and Molecular Neuroscience ,03 medical and health sciences ,Lateral ventricles ,Young Adult ,0302 clinical medicine ,Atrophy ,Internal medicine ,medicine ,Humans ,ddc:610 ,Longitudinal Studies ,Molecular Biology ,diagnostic imaging [Brain] ,Brain aging ,Depression (differential diagnoses) ,030304 developmental biology ,Aged ,0303 health sciences ,Depressive Disorder, Major ,Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7] ,business.industry ,Depression ,220 Statistical Imaging Neuroscience ,Brain ,Chronological age ,Middle Aged ,medicine.disease ,Magnetic Resonance Imaging ,030227 psychiatry ,Psychiatry and Mental health ,Increased risk ,RC0321 ,Major depressive disorder ,Female ,Age of onset ,business ,030217 neurology & neurosurgery ,Neuroscience - Abstract
BackgroundMajor depressive disorder (MDD) is associated with an increased risk of brain atrophy, aging-related diseases, and mortality. We examined potential advanced brain aging in MDD patients, and whether this process is associated with clinical characteristics in a large multi-center international dataset.MethodsWe performed a mega-analysis by pooling brain measures derived from T1-weighted MRI scans from 29 samples worldwide. Normative brain aging was estimated by predicting chronological age (10-75 years) from 7 subcortical volumes, 34 cortical thickness and 34 surface area, lateral ventricles and total intracranial volume measures separately in 1,147 male and 1,386 female controls from the ENIGMA MDD working group. The learned model parameters were applied to 1,089 male controls and 1,167 depressed males, and 1,326 female controls and 2,044 depressed females to obtain independent unbiased brain-based age predictions. The difference between predicted “brain age” and chronological age was calculated to indicate brain predicted age difference (brain-PAD).FindingsOn average, MDD patients showed a higher brain-PAD of +0.90 (SE 0.21) years (Cohen’s d=0.12, 95% CI 0.06-0.17) compared to controls. Relative to controls, first-episode and currently depressed patients showed higher brain-PAD (+1.2 [0.3] years), and the largest effect was observed in those with late-onset depression (+1.7 [0.7] years). In addition, higher brain-PAD was associated with higher self-reported depressive symptomatology (b=0.05, p=0.004).InterpretationThis highly powered collaborative effort showed subtle patterns of abnormal structural brain aging in MDD. Substantial within-group variance and overlap between groups were observed. Longitudinal studies of MDD and somatic health outcomes are needed to further assess the predictive value of these brain-PAD estimates.FundingThis work was supported, in part, by NIH grants U54 EB020403 and R01 MH116147.
- Published
- 2021
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