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

Title: Brain ageing in schizophrenia: evidence from 26 international cohorts via the ENIGMA Schizophrenia consortium
Authors: Constantinides, C; Han, LKM; Alloza, C; Antonucci, LA; Arango, C; Ayesa-Arriola, R; Banaj, N; Bertolino, A; Borgwardt, S; Bruggemann, J; Bustillo, J; Bykhovski, O; Calhoun, V; Carr, V; Catts, S; Chung, YC; Crespo-Facorro, B; Díaz-Caneja, CM; Donohoe, G; Plessis, SD; Edmond, J; Ehrlich, S; Emsley, R; Eyler, LT; Fuentes-Claramonte, P; Georgiadis, F; Green, M; Guerrero-Pedraza, A; Ha, M; Hahn, T; Henskens, FA; Holleran, L; Homan, S; Homan, P; Jahanshad, N; Janssen, J; Ji, E; Kaiser, S; Kaleda, V; Kim, M; Kim, WS; Kirschner, M; Kochunov, P; Kwak, YB; Kwon, JS; Lebedeva, I; Liu, J; Mitchie, P; Michielse, S; Mothersill, D; Mowry, B; de la Foz, VOG; Pantelis, C; Pergola, G; Piras, F; Pomarol-Clotet, E; Preda, A; Quidé, Y; Rasser, PE; Rootes-Murdy, K; Salvador, R; Sangiuliano, M; Sarró, S; Schall, U; Schmidt, A; Scott, RJ; Selvaggi, P; Sim, K; Skoch, A; Spalletta, G; Spaniel, F; Thomopoulos, SI; Tomecek, D; Tomyshev, AS; Tordesillas-Gutiérrez, D; van Amelsvoort, T; Vázquez-Bourgon, J; Vecchio, D; Voineskos, A; Weickert, CS; Weickert, T; Thompson, PM; Schmaal, L; van Erp, TGM; Turner, J; Cole, JH; Du Plessis, S; Bin Kwak, Y; Dima, D; Walton, E
Publisher Information: SPRINGERNATURE
Publication Year: 2023
Collection: The University of Melbourne: Digital Repository
Description: 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.
Document Type: article in journal/newspaper
Language: English
ISSN: 1359-4184
Relation: NHMRC/1105825; NHMRC/1140764; NHMRC/1196508; https://hdl.handle.net/11343/325581
Availability: https://hdl.handle.net/11343/325581
Rights: https://creativecommons.org/licenses/by/4.0 ; CC BY
Accession Number: edsbas.51370FCB
Database: BASE