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Chapter 23 - Progress in Biomarkers to Improve Treatment Outcomes in Major Depressive Disorder

Published online by Cambridge University Press:  16 May 2024

By
Sophie R. Vaccarino ,
Amanda K. Ceniti ,
Susan Rotzinger  and
Sidney H. Kennedy
Edited by
Allan Young ,
Marsal Sanches ,
Jair C. Soares  and
Mario Juruena
Allan Young
Affiliation:
Institute of Psychiatry, King's College London
Marsal Sanches
Affiliation:
Baylor College of Medicine, Texas
Jair C. Soares
Affiliation:
McGovern Medical School, The University of Texas
Mario Juruena
Affiliation:
King's College London
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Summary

Progress in developing new treatments for people with Major Depressive Disorder (MDD) and other mental disorders is hampered by the inability to apply standardized diagnostic tools to supplement clinical findings from DSM-5 or other recognized diagnostic systems. In the absence of tissue biopsies as a source of ‘solid’ biomarkers, mental health researchers have access to ‘liquid’ biopsies as well as neuroimaging, electroencephalography (EEG), and other techniques. Integration of clinical and biomarker features derived from large integrated datasets using machine-learning techniques provides a future for better classification and treatment selection to improve outcomes.

Keywords

Biomarkersdepressionmood disordersmolecularneuroimagingEEG
Type
Chapter
Information
Clinical Textbook of Mood Disorders , pp. 237 - 250
Publisher: Cambridge University Press
Print publication year: 2024

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