The DOI matches its Crossref record; 146 of the 150 references it cites were found in a registry or an index.
The Research Domain Criteria (RDoC): An analysis of methodological and conceptual challenges
Abstract
In a bold effort to address the longstanding shortcomings of the Diagnostic and Statistical Manual (DSM) framework for the classification and diagnosis of psychopathology, the National Institute of Mental Health recently launched a research program - the Research Domain Criteria (RDoC) - in the hopes of developing an alternative taxonomic system rooted in dysfunctional brain circuitry. Although the RDoC endeavor has considerable promise, it faces several methodological and conceptual challenges, four of which I address here: (a) an overemphasis on biological units and measures, (b) neglect of measurement error, (c) biological and psychometric limitations of endophenotypes, and (d) the distinction between biological predispositions and their behavioral manifestations. Because none of these challenges is in principle insurmountable, I encourage investigators to consider potential remedies for them. RDoC is a calculated gamble that appears to be worth the risk, but its chances of success will be maximized by a thoughtful consideration of hard-won lessons learned--but frequently forgotten--over the past several decades of psychological and psychiatric research.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“the RDoC initiative has been met with its own set of critiques, including an underdeveloped conceptual framework, an overemphasis on biological units, neglect of the psychometric weaknesses and measurement error of some methods, inadequate consideration of developmental factors and socio-cultural contexts, and a disconnect between research and clinical practice [109-114]”
From Advancing the study of sluggish cognitive tempo via DSM, RDoC, and hierarchical models of psychopathology (2019) · cites this paper as [114]
Citations
Cites
Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369
Tversky, A., & Kahneman, D. (1974) · Science · doi:10.1126/science.185.4157.1124 · Cited by 28,810
Judgment under Uncertainty: Heuristics and Biases
Tversky, A., & Kahneman, D. (1975) · Utility, Probability, and Human Decision Making · doi:10.1007/978-94-010-1834-0_8 · Cited by 22,650
Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000) · Cognitive Psychology · doi:10.1006/cogp.1999.0734 · Cited by 15,798
Power failure: why small sample size undermines the reliability of neuroscience
Button, K. S., Ioannidis, J. P. A., Mokrysz, C., Nosek, B. A., Flint, J., Robinson, E. S. J., & Munafò, M. R. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3475 · Cited by 7,641 · cited 2×
“Adding to these replicability concerns are findings that the average statistical power of functioning brain imaging studies is only about 8%, which is considerably lower than in most other domains of psychological and psychiatric research (Button et al., 2013).”
BackgroundInsel, T., Cuthbert, B., Garvey, M., Heinssen, R., Pine, D. S., Quinn, K., Sanislow, C., & Wang, P. (2010) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.09091379 · Cited by 7,067
Spitzer, R. L. (1978) · Archives of General Psychiatry · doi:10.1001/archpsyc.1978.01770300115013 · Cited by 6,946
The Endophenotype Concept in Psychiatry: Etymology and Strategic Intentions
Gottesman, I. I., & Gould, T. D. (2003) · American Journal of Psychiatry · doi:10.1176/appi.ajp.160.4.636 · Cited by 5,615
Diagnostic and Statistical Manual of Mental Disorders, 5th Edition
(2013) · American Psychiatric Association Publishing eBooks · doi:10.1176/appi.books.9780890425596.893619 · Cited by 4,412
Madison, P., & Mischel, W. (1968) · The American Journal of Psychology · doi:10.2307/1421067 · Cited by 4,395
Research works printed but not linked: 4
- Insel, 2013, Transforming diagnosis, NIMH Director’s Blog
- O'Connor, 1994, Emergent properties, American Philosophical Quarterly, 91
- Weinberger, 2014, RDoCs redux, World Psychiatry, 36
- 1998, Vol. 4
Cited by
Sorted by citations
Items 201–245 of 245
Gloster, A. T., & Gerlach, A. L. (2020) · Wiley eBooks · doi:10.1002/9781119189909.ch17
Reformulating Dynamic Risk Factors
Heffernan, R., & Ward, T. J. (2020) · SpringerBriefs in psychology · doi:10.1007/978-3-030-58275-3_3
Sisti, D. A., & Smith, W. (2021) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780190947750.013.35
Classificação psiquiátrica: tensionamento atual entre realismo e nominalismo
Henriques, R. P. (2021) · Physis Revista de Saúde Coletiva · doi:10.1590/s0103-73312021310328
The Explanation of Disordered Eating: A Metatheoretical Approach
Hawkins-Elder, H. (2021) · doi:10.26686/wgtn.16895614.v1 · Cited by 3
Kaye, J. T., Bradford, D. E., & Curtin, J. J. (2018) · doi:10.31234/osf.io/3k92q
The demands of comorbidity: Implications for the explanation and classification of mental disorder
Sinden, A. M. (2014) · doi:10.26686/wgtn.17009492.v1
“For example the measurement error or predictive accuracy required from functional magnetic resonance imaging data, would be comparable to that required of self-report or behavioural measures (Lilienfeld, 2014).”
BackgroundInfluentialThe DSM-5: What should general practitioners know?
Paris, J. (2017) · Oxford University Press eBooks · doi:10.1093/med/9780198746638.003.0006
Abalo‐Rodríguez, I., & Moratti, S. (2022) · doi:10.31219/osf.io/hzusb
Valencia, M. (2016) · Revista de Psicología Universidad de Antioquia · doi:10.17533/udea.rpsua.v8n2a01
Ward‐Ciesielski, E. F., Curreri, A. J., Woods, B. K., & Barlow, D. H. (2022) · Springer eBooks · doi:10.1007/978-3-031-14332-8_10
Fleshing Out the Concept, and Questions of Classification
Nielsen, K. (2023) · Palgrave Studies in the Theory and History of Psychology · doi:10.1007/978-3-031-29164-7_5
Nuovi paradigmi e i disturbi del neurosviluppo: le linee di cambiamento che emergono dal dibattito
Giorgetti, M., Borgatti, R., & Antonietti, A. (2023) · RICERCHE DI PSICOLOGIA · doi:10.3280/rip2022oa16047
“Ampia è la letteratura (Iacono, 2016; Lilienfeld, 2014; Miller, Rockstroh, Hamilton, & Yee, 2016; Weinberger, Glick & Klein, 2015; Yee, Javitt & Miller, 2015) circa i “misunderstanding RDoC” (Lake, Yee & Miller, 2017).”
McCauley, R. N., & Graham, G. (2020) · Oxford University Press eBooks · doi:10.1093/oso/9780190091149.002.0006
McCauley, R. N., & Graham, G. (2020) · Oxford University Press eBooks · doi:10.1093/oso/9780190091149.002.0004
McCauley, R. N., & Graham, G. (2020) · Oxford University Press eBooks · doi:10.1093/oso/9780190091149.002.0003
McCauley, R. N., & Graham, G. (2020) · Oxford University Press eBooks · doi:10.1093/oso/9780190091149.002.0007
Approaching Psychopathology from a Psychophysiological Perspective
Hedges, D., & Steffen, P. R. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780198888727.003.0007
Avolition Characterizes the Chronic Fatigue Experienced in Quiescent Inflammatory Bowel Disease
Gabriel-Segard, T., Boltri, M., Barrau, M., Massoubre, C., Paul, S., & Roblin, X. (2025) · Biomedicines · doi:10.3390/biomedicines13010125
Conclusions and future directions
Heinrichs, D. W. (2025) · Oxford University Press eBooks · doi:10.1093/9780198960720.003.0011
The POP model of clinical reasoning
Heinrichs, D. W. (2025) · Oxford University Press eBooks · doi:10.1093/9780198960720.003.0007
The role of model construction in developing expertise in psychiatry
Heinrichs, D. W. (2025) · Oxford University Press eBooks · doi:10.1093/9780198960720.003.0009
Changing goals and changing models
Heinrichs, D. W. (2025) · Oxford University Press eBooks · doi:10.1093/9780198960720.003.0004
Shifting and conflicting models
Heinrichs, D. W. (2025) · Oxford University Press eBooks · doi:10.1093/9780198960720.003.0006
Heinrichs, D. W. (2025) · Oxford University Press eBooks · doi:10.1093/9780198960720.002.0002
Heinrichs, D. W. (2025) · Oxford University Press eBooks · doi:10.1093/9780198960720.003.0005
Does evidence-based medicine provide a clinical method?
Heinrichs, D. W. (2025) · Oxford University Press eBooks · doi:10.1093/9780198960720.003.0002
Heinrichs, D. W. (2025) · Oxford University Press eBooks · doi:10.1093/9780198960720.003.0001
The role of models in clinical reasoning
Heinrichs, D. W. (2025) · Oxford University Press eBooks · doi:10.1093/9780198960720.003.0003
Heinrichs, D. W. (2025) · Oxford University Press eBooks · doi:10.1093/9780198960720.002.0006
Heinrichs, D. W. (2025) · Oxford University Press eBooks · doi:10.1093/9780198960720.002.0007
How Psychiatrists Make Decisions
Heinrichs, D. W. (2025) · doi:10.1093/9780198960720.001.0001
Justifying knowledge claims in psychiatric reasoning
Heinrichs, D. W. (2025) · Oxford University Press eBooks · doi:10.1093/9780198960720.003.0010
How we reason and make decisions
Heinrichs, D. W. (2025) · Oxford University Press eBooks · doi:10.1093/9780198960720.003.0008
Heinrichs, D. W. (2025) · Oxford University Press eBooks · doi:10.1093/9780198960720.002.0005
Deconstruction in Psychiatry: Are We Missing the Forest for the Trees?
Nair, G. A., Jakowczuk, T. E., Florentin, O. D., Sheikh, F., Shad, M. U., Glannon, W., Schaefer, M., Barlati, S., Kling, M. A., Curtis, S. D., et al. (2025) · Annals of Clinical Psychiatry · doi:10.1177/10401237251344101
Creating Scale Measures of Latent Factors: A Genetic Algorithmic Approach
Lowman, K. L., Costello, T. H., Stewart, R. A., Joyner, K. J., Bertoldi, B. M., & Patrick, C. J. (2025) · Assessment · doi:10.1177/10731911251376230 · Cited by 1
“Efforts in this direction would align with calls for integration of data across units of analysis (e.g., Insel et al., 2010; Lilienfeld, 2014; Miller, 2010) and provide a means to harness the most powerful combinations of indicators to capture (or predict, depending on the measurement goal) a given…”
Gabriel-Segard, T. (2023) · theses.fr (ABES) · doi:10.70675/2f469c9fz7a22z4f47z9e37zcf0e1f890660
Etiology: Contributing Factors
Sunzeri, F. (2026) · Springer eBooks · doi:10.1007/978-3-032-14465-2_3
Koning, E., Richard, J., & Keshen, A. R. (2026) · International Journal of Eating Disorders · doi:10.1002/eat.70164
“Similarly, the Research Domain Criteria (RDoC) project aims to classify psychiatric illnesses dimensionally based on behavioral and neurobiological correlates (Cuthbert and Insel 2013; Insel 2014; Lilienfeld 2014).”
Lee, T. Y., Eom, K., Kim, J. J., Lee, Y., & Hyun, J. H. (2026) · Biological Psychiatry · doi:10.1016/j.biopsych.2026.06.029
Metadata
- Authors
- Lilienfeld, S. O.
- Affiliations
- Emory University (US)
- Corresponding author
- Lilienfeld, Scott O.
- ORCID
- Lilienfeld, Scott O.
- Venue
- Behaviour Research and Therapy
- Publisher
- Elsevier BV
- Published
- 2014-11
- Volume
- 62
- Pages
- 129-139
- ISSN
- 0005-7967 (ISSN-L)
- OpenAlex
- W2080055550
- Cited by
- 248
- References
- 150
- Citations by year
- 2026: 8 · 2025: 27 · 2024: 8 · 2023: 17 · 2022: 12 · 2021: 21 · 2020: 31 · 2019: 22 · 2018: 24 · 2017: 26 · 2016: 29 · 2015: 18 · 2014: 3
- FWCI
- 154.12
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Behaviour Research and Therapy (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Arts and Humanities › Philosophy › Mental Health and Psychiatry
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Clinical Psychology › Psychology and Mental Health
- Keywords
- Research Domain Criteria, psychopathology classification, DSM, endophenotypes, measurement error, biological predispositions, behavioral manifestations, psychiatric diagnosis
- MeSH terms
- Mental Disorders, Humans, National Institute of Mental Health (U.S.), Psychiatric Status Rating Scales, Research, United States
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review