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Photo of Shai Mulinari. Private photo.

Shai Mulinari

Associate Professor | Senior Lecturer

Photo of Shai Mulinari. Private photo.

Aligning digital biomarker definitions in psychiatry with the National Institute of Mental Health Research Domain Criteria framework

Author

  • Shai Mulinari

Summary, in English

The field of biological psychiatry faces a growing influx of digital biomarkers spanning self-report, social, behavioral, cognitive, and physiological indicators of various mental health conditions. However, the definition of “digital biomarker,” particularly the “bio-” component, remains unclear. This article reviews the terminology of digital biomarkers in psychiatry and argues for the reservation of the term exclusively for measures of biological parameters with a plausible pathway connecting to the disease or condition of interest to enhance terminological clarity and consistency with conventional definitions of biomarker, short for biological marker. While the distinction between biological and non-biological parameters may blur at the edges, the Research Domain Criteria (RDoC) developed by the US National Institute of Mental Health offers a valuable heuristic. The RDoC distinguishes between biological (genes, molecules, cells, neural circuits, physiology) and non-biological (broadly understood behavior and self-report) units of analysis. Aligning digital biomarker definitions in psychiatry with the RDoC framework would mark a significant shift from the current broad usage, where almost any digitally measured characteristic, when used as an indicator, qualifies as a digital biomarker.

Department/s

  • Sociology

Publishing year

2024-10-13

Language

English

Publication/Series

NPP—Digital Psychiatry and Neuroscience

Volume

2

Document type

Journal article

Publisher

Nature Publishing Group

Topic

  • Sociology (excluding Social Work, Social Anthropology, Demography and Criminology)

Status

Published

Project

  • The New Scientific Revolution? AI and Big Data in Biomedicine

ISBN/ISSN/Other

  • ISSN: 2948-1570