Neuroimaging Genomics a Predictor of Major Depressive Disorder (MDD)

Overview

Journal Mol Neurobiol

Specialties Molecular Biology
Neurology

Date 2023 Nov 22

PMID 37989980

Authors

Manav Jindal

Aakash Chhetri

Abhilash Ludhiadch

Paramdeep Singh

Sameer Peer

Jawahar Singh

Rahatdeep Singh Brar

Anjana Munshi

Affiliations

Soon will be listed here.

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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