Pedro L Ballester1, Maria T Romano2, Taiane de Azevedo Cardoso3, Stefanie Hassel4,5, Stephen C Strother6,7, Sidney H Kennedy8,9, Benicio N Frey3,10. 1. Neuroscience Graduate Program, McMaster University, Hamilton, Ontario, Canada. 2. Integrated Science Undergraduate Program, McMaster University, Hamilton, Ontario, Canada. 3. Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada. 4. Mathison Centre for Mental Health Research and Education, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada. 5. Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada. 6. Rotman Research Institute, Baycrest, Toronto, Ontario, Canada. 7. Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada. 8. Centre for Depression and Suicide Studies, and Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada. 9. Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada. 10. Mood Disorders Treatment and Research Centre, and Women's Health Concerns Clinic, St. Joseph's Healthcare, Hamilton, Ontario, Canada.
Abstract
OBJECTIVE: To evaluate whether accelerated brain aging occurs in individuals with mood or psychotic disorders. METHODS: A systematic review following PRISMA guidelines was conducted. A meta-analysis was then performed to assess neuroimaging-derived brain age gap in three independent groups: (1) schizophrenia and first-episode psychosis, (2) major depressive disorder, and (3) bipolar disorder. RESULTS: A total of 18 papers were included. The random-effects model meta-analysis showed a significantly increased neuroimaging-derived brain age gap relative to age-matched controls for the three major psychiatric disorders, with schizophrenia (3.08; 95%CI [2.32; 3.85]; p < 0.01) presenting the largest effect, followed by bipolar disorder (1.93; [0.53; 3.34]; p < 0.01) and major depressive disorder (1.12; [0.41; 1.83]; p < 0.01). The brain age gap was larger in older compared to younger individuals. CONCLUSION: Individuals with mood and psychotic disorders may undergo a process of accelerated brain aging reflected in patterns captured by neuroimaging data. The brain age gap tends to be more pronounced in older individuals, indicating a possible cumulative biological effect of illness burden.
OBJECTIVE: To evaluate whether accelerated brain aging occurs in individuals with mood or psychotic disorders. METHODS: A systematic review following PRISMA guidelines was conducted. A meta-analysis was then performed to assess neuroimaging-derived brain age gap in three independent groups: (1) schizophrenia and first-episode psychosis, (2) major depressive disorder, and (3) bipolar disorder. RESULTS: A total of 18 papers were included. The random-effects model meta-analysis showed a significantly increased neuroimaging-derived brain age gap relative to age-matched controls for the three major psychiatric disorders, with schizophrenia (3.08; 95%CI [2.32; 3.85]; p < 0.01) presenting the largest effect, followed by bipolar disorder (1.93; [0.53; 3.34]; p < 0.01) and major depressive disorder (1.12; [0.41; 1.83]; p < 0.01). The brain age gap was larger in older compared to younger individuals. CONCLUSION: Individuals with mood and psychotic disorders may undergo a process of accelerated brain aging reflected in patterns captured by neuroimaging data. The brain age gap tends to be more pronounced in older individuals, indicating a possible cumulative biological effect of illness burden.
Authors: Camila N C Lima; Robert Suchting; Giselli Scaini; Valeria A Cuellar; Alexandra Del Favero-Campbell; Consuelo Walss-Bass; Jair C Soares; Joao Quevedo; Gabriel R Fries Journal: Eur Neuropsychopharmacol Date: 2022-07-08 Impact factor: 5.415