Literature DB >> 27415130

Seeking an objective diagnosis of depression.

John A Bilello1.   

Abstract

Major depressive disorder (MDD: unipolar depression) is widely distributed in the USA and world-wide populations and it is one of the leading causes of disability in both adolescents and adults. Traditional diagnostic approaches for MDD are based on patient interviews, which provide a subjective assessment of clinical symptoms which are frequently shared with other maladies. Reliance upon clinical assessments and patient interviews for diagnosing MDD is frequently associated with misdiagnosis and suboptimal treatment outcomes. As such, there is increasing interest in the identification of objective methods for the diagnosis of depression. Newer technologies from genomics, transcriptomics, proteomics, metabolomics and imaging are technically sophisticated and objective but their application to diagnostic tests in psychiatry is still emerging. This brief overview evaluates the technical basis for these technologies and discusses how the extension of their clinical performance can lead to an objective diagnosis of MDD.

Entities:  

Keywords:  biomarkers; diagnosis; diagnostic panels; genomics; major depressive disorder; proteomics; transcriptomics

Mesh:

Substances:

Year:  2016        PMID: 27415130     DOI: 10.2217/bmm-2016-0076

Source DB:  PubMed          Journal:  Biomark Med        ISSN: 1752-0363            Impact factor:   2.851


  4 in total

1.  WaaS architecture-driven depressive mood status quantitative analysis based on forehead EEG and self-rating tool.

Authors:  Zhijiang Wan; Hao Zhang; Jianhui Chen; Haiyan Zhou; Jie Yang; Ning Zhong
Journal:  Brain Inform       Date:  2018-12-05

2.  Identifying neuroimaging biomarkers of major depressive disorder from cortical hemodynamic responses using machine learning approaches.

Authors:  Zhifei Li; Roger S McIntyre; Syeda F Husain; Roger Ho; Bach X Tran; Hien Thu Nguyen; Shuenn-Chiang Soo; Cyrus S Ho; Nanguang Chen
Journal:  EBioMedicine       Date:  2022-04-28       Impact factor: 11.205

3.  Validating a functional near-infrared spectroscopy diagnostic paradigm for Major Depressive Disorder.

Authors:  Syeda Fabeha Husain; Rongjun Yu; Tong-Boon Tang; Wilson W Tam; Bach Tran; Travis T Quek; Shi-Hui Hwang; Cheryl W Chang; Cyrus S Ho; Roger C Ho
Journal:  Sci Rep       Date:  2020-06-16       Impact factor: 4.379

4.  Metabolomics-based discrimination of patients with remitted depression from healthy controls using 1H-NMR spectroscopy.

Authors:  Ching-I Hung; Gigin Lin; Meng-Han Chiang; Chih-Yung Chiu
Journal:  Sci Rep       Date:  2021-08-02       Impact factor: 4.379

  4 in total

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