Neuroimaging Genomics a Predictor of Major Depressive Disorder (MDD)

dc.contributor.authorJindal, Manav
dc.contributor.authorChhetri, Aakash
dc.contributor.authorLudhiadch, Abhilash
dc.contributor.authorSingh, Paramdeep
dc.contributor.authorPeer, Sameer
dc.contributor.authorSingh, Jawahar
dc.contributor.authorBrar, Rahatdeep Singh
dc.contributor.authorMunshi, Anjana
dc.date.accessioned2024-01-21T10:54:20Z
dc.date.accessioned2024-08-14T07:41:04Z
dc.date.available2024-01-21T10:54:20Z
dc.date.available2024-08-14T07:41:04Z
dc.date.issued2023-11-22T00:00:00
dc.description.abstractDepression 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. � 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.en_US
dc.identifier.doi10.1007/s12035-023-03775-0
dc.identifier.issn8937648
dc.identifier.urihttps://kr.cup.edu.in/handle/32116/4281
dc.identifier.urlhttps://link.springer.com/10.1007/s12035-023-03775-0
dc.language.isoen_USen_US
dc.publisherSpringeren_US
dc.subjectDepressionen_US
dc.subjectFunctional magnetic resonance imagingen_US
dc.subjectGenetic polymorphismen_US
dc.subjectMajor depressive disorderen_US
dc.subjectNeuroimagingen_US
dc.titleNeuroimaging Genomics a Predictor of Major Depressive Disorder (MDD)en_US
dc.title.journalMolecular Neurobiologyen_US
dc.typeReviewen_US
dc.type.accesstypeClosed Accessen_US

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