Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
Structural and Functional Neuroimaging of Late-Life Depression: A Coordinate-Based Meta-Analysis Publisher Pubmed



Saberi A1 ; Mohammadi E1, 2 ; Zarei M1 ; Eickhoff SB3, 4 ; Tahmasian M1
Authors
Show Affiliations
Authors Affiliations
  1. 1. Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
  2. 2. Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Julich, Julich, Germany
  4. 4. Institute of Systems Neuroscience, Heinrich Heine University Dusseldorf, Dusseldorf, Germany

Source: Brain Imaging and Behavior Published:2022


Abstract

Several neuroimaging studies have investigated localized aberrations in brain structure, function or connectivity in late-life depression, but the ensuing results are equivocal and often conflicting. Here, we provide a quantitative consolidation of neuroimaging in late-life depression using coordinate-based meta-analysis by searching multiple databases up to March 2020. Our search revealed 3252 unique records, among which we identified 32 eligible whole-brain neuroimaging publications comparing 674 patients with 568 controls. The peak coordinates of group comparisons between the patients and the controls were extracted and then analyzed using activation likelihood estimation method. Our sufficiently powered analysis on all the experiments, and more homogenous subsections of the data (patients > controls, controls > patients, and functional imaging experiments) revealed no significant convergent regional abnormality in late-life depression. This inconsistency might be due to clinical and biological heterogeneity of LLD, as well as experimental (e.g., choice of tasks, image modalities) and analytic flexibility (e.g., preprocessing and analytic parameters), and distributed patterns of neural abnormalities. Our findings highlight the importance of clinical/biological heterogeneity of late-life depression, in addition to the need for more reproducible research by using pre-registered and standardized protocols on more homogenous populations to identify potential consistent brain abnormalities in late-life depression. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.