Literature DB >> 25854817

In pursuit of neuroimaging biomarkers to guide treatment selection in major depressive disorder: a review of the literature.

Marc S Lener1, Dan V Iosifescu.   

Abstract

Over the last few decades, neuroimaging techniques have advanced the identification of structural, functional, and neurochemical brain abnormalities that are associated with the increased risk, clinical course, and treatment outcomes of major depressive disorder (MDD). This paper reviews specific neuroimaging abnormalities that, on the basis of early studies, may discriminate between MDD patients who do or do not respond to current therapeutic modalities, such as antidepressants, cognitive behavioral therapy, or novel therapies. Differences in gray matter volume, white matter coherence, brain activity via structural and functional magnetic resonance imaging techniques, and concentrations of specific brain metabolites (as measured with magnetic resonance spectroscopy), are potential biomarkers discussed in this review. Given the heterogeneity of MDD, larger, multisite studies with increased statistical power will be needed to identify more precise imaging biomarkers of treatment response in MDD.
© 2015 New York Academy of Sciences.

Entities:  

Keywords:  SPECT; depression; functional; major depressive disorder; morphometry; neuroimaging; resting state; structural; treatment-resistant depression; voxel based; white matter

Mesh:

Substances:

Year:  2015        PMID: 25854817     DOI: 10.1111/nyas.12759

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  37 in total

Review 1.  Ketamine and Beyond: Investigations into the Potential of Glutamatergic Agents to Treat Depression.

Authors:  Marc S Lener; Bashkim Kadriu; Carlos A Zarate
Journal:  Drugs       Date:  2017-03       Impact factor: 9.546

2.  Diagnostic classification of unipolar depression based on resting-state functional connectivity MRI: effects of generalization to a diverse sample.

Authors:  Benedikt Sundermann; Stephan Feder; Heike Wersching; Anja Teuber; Wolfram Schwindt; Harald Kugel; Walter Heindel; Volker Arolt; Klaus Berger; Bettina Pfleiderer
Journal:  J Neural Transm (Vienna)       Date:  2016-12-31       Impact factor: 3.575

3.  Predicting Response to the Antidepressant Bupropion using Pretreatment fMRI.

Authors:  Kevin P Nguyen; Cherise Chin Fatt; Alex Treacher; Cooper Mellema; Madhukar H Trivedi; Albert Montillo
Journal:  Predict Intell Med (2019)       Date:  2019-10-10

Review 4.  The Leukocentric Theory of Neurological Disorder: A Manifesto.

Authors:  Robert Fern
Journal:  Neurochem Res       Date:  2017-04-25       Impact factor: 3.996

Review 5.  Glutamatergic Modulators in Depression.

Authors:  Ioline D Henter; Rafael Teixeira de Sousa; Carlos A Zarate
Journal:  Harv Rev Psychiatry       Date:  2018 Nov/Dec       Impact factor: 3.732

6.  Cortical abnormalities and association with symptom dimensions across the depressive spectrum.

Authors:  Marc S Lener; Prantik Kundu; Edmund Wong; Kaitlin E Dewilde; Cheuk Y Tang; Priti Balchandani; James W Murrough
Journal:  J Affect Disord       Date:  2015-10-30       Impact factor: 4.839

Review 7.  Glutamate and Gamma-Aminobutyric Acid Systems in the Pathophysiology of Major Depression and Antidepressant Response to Ketamine.

Authors:  Marc S Lener; Mark J Niciu; Elizabeth D Ballard; Minkyung Park; Lawrence T Park; Allison C Nugent; Carlos A Zarate
Journal:  Biol Psychiatry       Date:  2016-05-12       Impact factor: 13.382

8.  Antidepressant treatment effects on dopamine transporter availability in patients with major depression: a prospective 123I-FP-CIT SPECT imaging genetic study.

Authors:  Sabine Hellwig; Lars Frings; Annette Masuch; Werner Vach; Katharina Domschke; Claus Normann; Philipp T Meyer
Journal:  J Neural Transm (Vienna)       Date:  2018-02-23       Impact factor: 3.575

Review 9.  Suggested Biomarkers for Major Depressive Disorder.

Authors:  Yunus Hacimusalar; Ertuğrul Eşel
Journal:  Noro Psikiyatr Ars       Date:  2018-05-28       Impact factor: 1.339

10.  Intrinsic reward circuit connectivity profiles underlying symptom and quality of life outcomes following antidepressant medication: a report from the iSPOT-D trial.

Authors:  Adina S Fischer; Bailey Holt-Gosselin; Scott L Fleming; Laura M Hack; Tali M Ball; Alan F Schatzberg; Leanne M Williams
Journal:  Neuropsychopharmacology       Date:  2020-11-23       Impact factor: 7.853

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