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Meta-Analysis
. 2023 Mar;28(3):1201-1209.
doi: 10.1038/s41380-022-01897-w. Epub 2022 Dec 9.

Brain ageing in schizophrenia: evidence from 26 international cohorts via the ENIGMA Schizophrenia consortium

Constantinos Constantinides  1 Laura K M Han  2   3   4 Clara Alloza  5   6 Linda Antonella Antonucci  7   8 Celso Arango  5   6 Rosa Ayesa-Arriola  6   9 Nerisa Banaj  10 Alessandro Bertolino  7 Stefan Borgwardt  11   12 Jason Bruggemann  13   14 Juan Bustillo  15 Oleg Bykhovski  16   17 Vince Calhoun  18 Vaughan Carr  13   14   19 Stanley Catts  20 Young-Chul Chung  21   22   23 Benedicto Crespo-Facorro  6   24 Covadonga M Díaz-Caneja  5   6 Gary Donohoe  25 Stefan Du Plessis  26   27 Jesse Edmond  28 Stefan Ehrlich  29 Robin Emsley  26 Lisa T Eyler  30   31 Paola Fuentes-Claramonte  6   32 Foivos Georgiadis  33 Melissa Green  13   14 Amalia Guerrero-Pedraza  32   34 Minji Ha  35 Tim Hahn  36 Frans A Henskens  37   38   39 Laurena Holleran  25 Stephanie Homan  40   41 Philipp Homan  40 Neda Jahanshad  42 Joost Janssen  5   6 Ellen Ji  40 Stefan Kaiser  43 Vasily Kaleda  44 Minah Kim  45   46 Woo-Sung Kim  21   23 Matthias Kirschner  33   43   47 Peter Kochunov  48 Yoo Bin Kwak  35 Jun Soo Kwon  35   45   46 Irina Lebedeva  44 Jingyu Liu  49   50 Patricia Mitchie  39   51 Stijn Michielse  52 David Mothersill  25   53 Bryan Mowry  54   55 Víctor Ortiz-García de la Foz  6   9 Christos Pantelis  56   57 Giulio Pergola  7 Fabrizio Piras  10 Edith Pomarol-Clotet  6   32 Adrian Preda  58 Yann Quidé  13   14   59 Paul E Rasser  39   60 Kelly Rootes-Murdy  18   28 Raymond Salvador  6   32 Marina Sangiuliano  7 Salvador Sarró  6   32 Ulrich Schall  39   60 André Schmidt  11 Rodney J Scott  61 Pierluigi Selvaggi  7   62 Kang Sim  63   64   65 Antonin Skoch  66   67 Gianfranco Spalletta  10   68 Filip Spaniel  66   69 Sophia I Thomopoulos  42 David Tomecek  66   70   71 Alexander S Tomyshev  44 Diana Tordesillas-Gutiérrez  72   73 Therese van Amelsvoort  74 Javier Vázquez-Bourgon  6   9 Daniela Vecchio  10 Aristotle Voineskos  75   76 Cynthia S Weickert  13   14   77 Thomas Weickert  13   14   77 Paul M Thompson  42 Lianne Schmaal  2   3 Theo G M van Erp  78   79 Jessica Turner  28   50 James H Cole  80   81 ENIGMA Schizophrenia ConsortiumDanai Dima #  62   82 Esther Walton #  83
Collaborators, Affiliations
Meta-Analysis

Brain ageing in schizophrenia: evidence from 26 international cohorts via the ENIGMA Schizophrenia consortium

Constantinos Constantinides et al. Mol Psychiatry. 2023 Mar.

Abstract

Schizophrenia (SZ) is associated with an increased risk of life-long cognitive impairments, age-related chronic disease, and premature mortality. We investigated evidence for advanced brain ageing in adult SZ patients, and whether this was associated with clinical characteristics in a prospective meta-analytic study conducted by the ENIGMA Schizophrenia Working Group. The study included data from 26 cohorts worldwide, with a total of 2803 SZ patients (mean age 34.2 years; range 18-72 years; 67% male) and 2598 healthy controls (mean age 33.8 years, range 18-73 years, 55% male). Brain-predicted age was individually estimated using a model trained on independent data based on 68 measures of cortical thickness and surface area, 7 subcortical volumes, lateral ventricular volumes and total intracranial volume, all derived from T1-weighted brain magnetic resonance imaging (MRI) scans. Deviations from a healthy brain ageing trajectory were assessed by the difference between brain-predicted age and chronological age (brain-predicted age difference [brain-PAD]). On average, SZ patients showed a higher brain-PAD of +3.55 years (95% CI: 2.91, 4.19; I2 = 57.53%) compared to controls, after adjusting for age, sex and site (Cohen's d = 0.48). Among SZ patients, brain-PAD was not associated with specific clinical characteristics (age of onset, duration of illness, symptom severity, or antipsychotic use and dose). This large-scale collaborative study suggests advanced structural brain ageing in SZ. Longitudinal studies of SZ and a range of mental and somatic health outcomes will help to further evaluate the clinical implications of increased brain-PAD and its ability to be influenced by interventions.

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Conflict of interest statement

CA has been a consultant to or has received honoraria or grants from Acadia, Angelini, Boehringer, Gedeon Richter, Janssen Cilag, Lundbeck, Minerva, Otsuka, Pfizer, Roche, Sage, Servier, Shire, Schering Plough, Sumitomo Dainippon Pharma, Sunovion and Takeda. CMD-C has received honoraria from Exeltis and Angelini. NJ and PMT received a research grant from Biogen, Inc. (Boston, USA) for research unrelated to this manuscript. SK received royalties for cognitive test and training software from Schuhfried. The remaining authors report no biomedical financial interests or potential conflicts of interest.

Figures

Fig. 1
Fig. 1. Case-control differences in brain-PAD.
Forest plot of differences in mean brain-PAD scores (predicted brain age - chronological age) between patients with schizophrenia (SZ) and controls across (26 −1) 25 cohorts (a total of 2792 cases and 2598 controls; excluding 1 cohort that contributed data for patients only), controlling for sex, age and age2 and scanning site. Regression coefficients (in years) are denoted by black boxes. Black lines indicate 95% confidence intervals. The size of the box indicates the weight the cohort received (based on inverse variance weighting). The pooled estimate for all cohorts is represented by a black diamond, with the outer edges of the diamond indicating the confidence interval limits.
Fig. 2
Fig. 2. Correlation coefficients of predicted brain age and FreeSurfer features across control and schizophrenia (SZ) groups.
Bivariate correlations are shown to provide an indication of the relative contribution of features in brain age prediction. The figure shows Pearson correlations between predicted brain age and cortical thickness features (top row), cortical surface areas (middle row) and subcortical volumes (bottom row), from both the lateral (left) and medial (right) view. Features were averaged across the left and right hemispheres. The negative correlation with ICV was excluded from this figure for display purposes.

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