Literature DB >> 33834396

Development of Neuroimaging-Based Biomarkers in Major Depression.

Kyu-Man Han1, Byung-Joo Ham1, Yong-Ku Kim2.   

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.

Entities:  

Keywords:  Emotion regulation; Magnetic resonance imaging (MRI); Major depressive disorder; Neural circuit; Reward processing; Treatment outcome

Mesh:

Substances:

Year:  2021        PMID: 33834396     DOI: 10.1007/978-981-33-6044-0_6

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  52 in total

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Authors:  P F Sullivan; M C Neale; K S Kendler
Journal:  Am J Psychiatry       Date:  2000-10       Impact factor: 18.112

Review 2.  Epigenetics and depression: return of the repressed.

Authors:  Victoria S Dalton; Erik Kolshus; Declan M McLoughlin
Journal:  J Affect Disord       Date:  2013-10-25       Impact factor: 4.839

Review 3.  Identifying predictors, moderators, and mediators of antidepressant response in major depressive disorder: neuroimaging approaches.

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Journal:  Am J Psychiatry       Date:  2015-02-01       Impact factor: 18.112

4.  The economic burden of adults with major depressive disorder in the United States (2005 and 2010).

Authors:  Paul E Greenberg; Andree-Anne Fournier; Tammy Sisitsky; Crystal T Pike; Ronald C Kessler
Journal:  J Clin Psychiatry       Date:  2015-02       Impact factor: 4.384

5.  The impact of depression on workplace functioning and disability costs.

Authors:  Wayne Katon
Journal:  Am J Manag Care       Date:  2009-12       Impact factor: 2.229

Review 6.  Neurobiology of emotion perception II: Implications for major psychiatric disorders.

Authors:  Mary L Phillips; Wayne C Drevets; Scott L Rauch; Richard Lane
Journal:  Biol Psychiatry       Date:  2003-09-01       Impact factor: 13.382

7.  Depression and school performance in middle adolescent boys and girls.

Authors:  Sari A Fröjd; Eeva S Nissinen; Mirjami U I Pelkonen; Mauri J Marttunen; Anna-Maija Koivisto; Riittakerttu Kaltiala-Heino
Journal:  J Adolesc       Date:  2007-10-18

Review 8.  The genetics of major depression.

Authors:  Jonathan Flint; Kenneth S Kendler
Journal:  Neuron       Date:  2014-02-05       Impact factor: 17.173

Review 9.  Diagnostic and therapeutic utility of neuroimaging in depression: an overview.

Authors:  Toby Wise; Anthony J Cleare; Andrés Herane; Allan H Young; Danilo Arnone
Journal:  Neuropsychiatr Dis Treat       Date:  2014-08-19       Impact factor: 2.570

10.  Promising Neuroimaging Biomarkers in Depression.

Authors:  Chien-Han Lai
Journal:  Psychiatry Investig       Date:  2019-09-23       Impact factor: 2.505

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  1 in total

Review 1.  Possible antidepressant mechanisms of omega-3 polyunsaturated fatty acids acting on the central nervous system.

Authors:  Lie Zhou; Jia-Yao Xiong; Yu-Qian Chai; Lu Huang; Zi-Yang Tang; Xin-Feng Zhang; Bo Liu; Jun-Tao Zhang
Journal:  Front Psychiatry       Date:  2022-08-31       Impact factor: 5.435

  1 in total

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