Phenomapping: Methods and measures for deconstructing diagnosis in psychiatry

Andre F. Marquand, Thomas Wolfers, Richard Dinga

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

In most areas of medicine, biological tests are routinely used to assist diagnosis and treatment allocation. However, this is not the case in psychiatry, which is now one of the last areas of medicine where diseases are still diagnosed based on symptoms and biological tests to assist treatment allocation remain to be developed. Heterogeneity is widely recognized as a major challenge toward achieving these objectives and many approaches to tackle such heterogeneity have been proposed over the years, largely aiming to partition psychiatric disorders into more consistent subtypes. However, none of these stratifications have translated toward clinical practice. Here, we review the different approaches employed, focusing on methods that use biological measures to stratify psychiatric disorders. We highlight several recent prominent studies and identify key challenges for the field. Specifically, we argue that a lack of validation or replication of prospective stratifications coupled with a widespread fixation on finding sharply defined subtypes has impeded progress. We outline recently proposed methodological innovations that may be useful to move forward. Many of these innovations provide inferences at the level of individual participants and do not rest on the assumption that the biological fingerprints underlying psychiatric disorders can be cleanly separated into subtypes.
Original languageEnglish
Title of host publicationPersonalized Psychiatry: Big Data Analytics in Mental Health
PublisherSpringer International Publishing
Pages119-134
ISBN (Electronic)9783030035532
ISBN (Print)9783030035525
DOIs
Publication statusPublished - 2019

Publication series

NamePersonalized Psychiatry: Big Data Analytics in Mental Health

Cite this

Marquand, A. F., Wolfers, T., & Dinga, R. (2019). Phenomapping: Methods and measures for deconstructing diagnosis in psychiatry. In Personalized Psychiatry: Big Data Analytics in Mental Health (pp. 119-134). (Personalized Psychiatry: Big Data Analytics in Mental Health). Springer International Publishing. https://doi.org/10.1007/978-3-030-03553-2_7
Marquand, Andre F. ; Wolfers, Thomas ; Dinga, Richard. / Phenomapping: Methods and measures for deconstructing diagnosis in psychiatry. Personalized Psychiatry: Big Data Analytics in Mental Health. Springer International Publishing, 2019. pp. 119-134 (Personalized Psychiatry: Big Data Analytics in Mental Health).
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Marquand, AF, Wolfers, T & Dinga, R 2019, Phenomapping: Methods and measures for deconstructing diagnosis in psychiatry. in Personalized Psychiatry: Big Data Analytics in Mental Health. Personalized Psychiatry: Big Data Analytics in Mental Health, Springer International Publishing, pp. 119-134. https://doi.org/10.1007/978-3-030-03553-2_7

Phenomapping: Methods and measures for deconstructing diagnosis in psychiatry. / Marquand, Andre F.; Wolfers, Thomas; Dinga, Richard.

Personalized Psychiatry: Big Data Analytics in Mental Health. Springer International Publishing, 2019. p. 119-134 (Personalized Psychiatry: Big Data Analytics in Mental Health).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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Marquand AF, Wolfers T, Dinga R. Phenomapping: Methods and measures for deconstructing diagnosis in psychiatry. In Personalized Psychiatry: Big Data Analytics in Mental Health. Springer International Publishing. 2019. p. 119-134. (Personalized Psychiatry: Big Data Analytics in Mental Health). https://doi.org/10.1007/978-3-030-03553-2_7