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Neuroimaging Genomics a Predictor of Major Depressive Disorder (MDD)

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A Correction to this article was published on 11 December 2023

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Abstract

Depression is a complex psychiatric disorder influenced by various genetic and environmental factors. Strong evidence has established the contribution of genetic factors in depression through twin studies and the heritability rate for depression has been reported to be 37%. Genetic studies have identified genetic variations associated with an increased risk of developing depression. Imaging genetics is an integrated approach where imaging measures are combined with genetic information to explore how specific genetic variants contribute to brain abnormalities. Neuroimaging studies allow us to examine both structural and functional abnormalities in individuals with depression. This review has been designed to study the correlation of the significant genetic variants with different regions of neural activity, connectivity, and structural alteration in the brain as detected by imaging techniques to understand the scope of biomarkers in depression. This might help in developing novel therapeutic interventions targeting specific genetic pathways or brain circuits and the underlying pathophysiology of depression based on this integrated approach can be established at length.

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Acknowledgements

The authors would like to acknowledge and thank the Science and Engineering Research Board (SERB), Department of Science and Technology, Government of India, for their financial support.

Funding

This work was supported by the Science and Engineering Research Board (SERB), Department of Science and Technology, Government of India (Grant Number, SRG/2022/001306; Dated, 07/11/2022).

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Authors and Affiliations

  1. Department of Radiodiagnosis, All India Institute of Medical Sciences, Bathinda, India

    Manav Jindal, Paramdeep Singh & Sameer Peer

  2. Department of Human Genetics and Molecular Medicine, Central University of Punjab, Bathinda, 151401, India

    Aakash Chhetri, Abhilash Ludhiadch & Anjana Munshi

  3. Department of Psychiatry, All India Institute of Medical Sciences, Bathinda, India

    Jawahar Singh

  4. Department of Diagnostic and Interventional Radiology, Homi Bhabha Cancer Hospital & Research Center, Mohali, India

    Rahatdeep Singh Brar

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  1. Manav Jindal
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  2. Aakash Chhetri
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This study has been conceptualized and designed by AM, PS, and SP. MJ, AC, AT, and RS have contributed to performing the literature survey. The manuscript has been written and edited by MJ and AC. The entire manuscript has been compiled and edited by MJ.

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Correspondence to Anjana Munshi.

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Jindal, M., Chhetri, A., Ludhiadch, A. et al. Neuroimaging Genomics a Predictor of Major Depressive Disorder (MDD). Mol Neurobiol 61, 3427–3440 (2024). https://doi.org/10.1007/s12035-023-03775-0

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