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Development of Neuroimaging-Based Biomarkers in Major Depression

Authors
Han, Kyu-ManHam, Byung-JooKim, Yong-Ku
Issue Date
2021
Publisher
SPRINGER-VERLAG SINGAPORE PTE LTD
Keywords
Major depressive disorder; Magnetic resonance imaging (MRI); Neural circuit; Emotion regulation; Reward processing; Treatment outcome
Citation
MAJOR DEPRESSIVE DISORDER: RETHINKING AND UNDERSTANDING RECENT DISCOVERIES, v.1305, pp.85 - 99
Indexed
SCIE
SCOPUS
Journal Title
MAJOR DEPRESSIVE DISORDER: RETHINKING AND UNDERSTANDING RECENT DISCOVERIES
Volume
1305
Start Page
85
End Page
99
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/130195
DOI
10.1007/978-981-33-6044-0_6
ISSN
0065-2598
Abstract
A leading goal in the field of biological psychiatry for depression is to find a promising diagnostic biomarker and selection of specific psychiatric treatment mode that is most likely to benefit patients with depression. Recent neuroimaging studies have characterized the pathophysiology of major depressive disorder (MDD) with functional and structural alterations in the neural circuitry involved in emotion or reward processing. Particularly, structural and functional magnetic resonance imaging (MRI) studies have reported that the brain structures deeply involved in emotion regulation or reward processing including the amygdala, prefrontal cortex (PFC), anterior cingulate cortex (ACC), ventral striatum, and hippocampus are key regions that provide useful information about diagnosis and treatment outcome prediction in MDD. For example, it has been consistently reported that elevated activity of the ACC is associated with better antidepressant response in patients with MDD. This chapter will discuss a growing body of evidence that suggests that diagnosis or prediction of outcome for specific treatment can be assisted by a neuroimaging-based biomarker in MDD.
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