The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Moving forward: how depression heterogeneity hinders progress in treatment and research
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Few would argue that depression research in the last two decades has led to major improvements of clinical care for patients. The tools and insights we have at our disposal today have not changed m...
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“At the extreme, two individuals can meet criteria for a diagnosis of major depressive disorder without sharing any single symptom. 7”
From Time for united action on depression: a Lancet–World Psychiatric Association Commission (2022) · cites this paper as [7]
In the citing paper
“Revisiting the hypothesis of Taylor and colleagues (46), one potential reason why model personalisation may provide benefits over “traditional” machine learning methods is because this allows to deal with heterogeneity, a feature that is characteristic both of depression and the way patients respond to treatment (83, 84).”
From Personalised depression forecasting using mobile sensor data and ecological momentary assessment (2022) · cites this paper as [83]
In the citing paper
“Despite its medical importance MDD is poorly defined and diagnosed since its diagnosis is mostly based on data subjectively reported by the patients themselves (13–15) and lack of objective, clinically relevant outcome measure.”
From A narrative review of digital biomarkers in the management of major depressive disorder and treatment-resistant forms (2023) · cites this paper as [13]
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Cites
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A network theory of mental disorders
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Fried, E. I., & Nesse, R. M. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.10.010 · Cited by 1,043
Self-citationDepression sum-scores don’t add up: why analyzing specific depression symptoms is essential
Fried, E. I., & Nesse, R. M. (2015) · BMC Medicine · doi:10.1186/s12916-015-0325-4 · Cited by 981
Self-citationAssociation of Symptom Network Structure With the Course of Depression
van Borkulo, C. D., Boschloo, L., Borsboom, D., Penninx, B. W. J. H., Waldorp, L., & Schoevers, R. A. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2015.2079 · Cited by 883
Sparse whole-genome sequencing identifies two loci for major depressive disorder
CONVERGE consortium, Cai, N., Bigdeli, T. B., Kretzschmar, W., Li, Y., Liang, J., Song, L., Hu, J., Li, Q., Jin, W., et al. (2015) · Nature · doi:10.1038/nature14659 · Cited by 864
Cross-trial prediction of treatment outcome in depression: a machine learning approach
Chekroud, A. M., Zotti, R. J., Shehzad, Z., Gueorguieva, R., Johnson, M. K., Trivedi, M. H., Cannon, T. D., Krystal, J. H., & Corlett, P. R. (2016) · The Lancet Psychiatry · doi:10.1016/s2215-0366(15)00471-x · Cited by 676
The 52 symptoms of major depression: lack of content overlap among seven common depression scales
Fried, E. I. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.10.019 · Cited by 649
Critical Slowing Down as a Personalized Early Warning Signal for Depression
Wichers, M., Groot, P. C., & Psychosystems, E. G. (2016) · Psychotherapy and Psychosomatics · doi:10.1159/000441458 · Cited by 399
Fried, E. I. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00309 · Cited by 367
Self-citationNoury, J. C. L., Nardo, J. M., Healy, D., Jureidini, J. N., Raven, M. K., Tufănaru, C., & Abi‐Jaoude, E. (2015) · BMJ · doi:10.1136/bmj.h4320 · Cited by 329
How to compare cross-lagged associations in a multilevel autoregressive model.
Schuurman, N. K., Ferrer, E. E., Sonnenschein, M., & Hamaker, E. L. (2016) · Psychological Methods · doi:10.1037/met0000062 · Cited by 318
Fried, E. I., van Borkulo, C. D., Epskamp, S., Schoevers, R. A., Tuerlinckx, F., & Borsboom, D. (2016) · Psychological Assessment · doi:10.1037/pas0000275 · Cited by 314
Self-citationKramer, I., Simons, C. J. P., Hartmann, J. A., Menne-Lothmann, C., Viechtbauer, W., Peeters, F., Schruers, K., van Bemmel, A. L., Myin-Germeys, I., Delespaul, P., et al. (2014) · World Psychiatry · doi:10.1002/wps.20090 · Cited by 306
Chekroud, A. M., Gueorguieva, R., Krumholz, H. M., Trivedi, M. H., Krystal, J. H., & McCarthy, G. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2017.0025 · Cited by 276
Inflammation and Specific Symptoms of Depression
Jokela, M. M., Virtanen, M., Batty, G. D., & Mika Kivimaki, B. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2015.1977 · Cited by 261
A prospective study on how symptoms in a network predict the onset of depression
Boschloo, L., van Borkulo, C. D., Borsboom, D., & Schoevers, R. A. (2016) · Psychotherapy and Psychosomatics · doi:10.1159/000442001 · Cited by 213
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Parker, G. B. (2005) · Psychological Medicine · doi:10.1017/s0033291704004210 · Cited by 203
FOCUS ARTICLE: Eight Decades of Measurement in Depression
Santor, D., Gregus, M., & Welch, A. (2006) · Measurement Interdisciplinary Research and Perspectives · doi:10.1207/s15366359mea0403_1 · Cited by 161
Bos, F. M., Schoevers, R. A., & aan het Rot, M. (2015) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2015.08.008 · Cited by 81
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Self-citation
Research works printed but not linked: 6
- Santor DA, 2006, Measurement, 4, 135
- Chekroud AM, 2017, JAMA Psychiatry, 6511
- Le Noury J, 2015, The BMJ, 101006
- Fried EI, 2016, Soc Psychiatry Psychiatr Epidemiol, 1, 1
- Chekroud AM, 2016, The Lancet Psychiatry, 366, 1
- National Institute of Mental Health, Breaking ground, breaking through: the strategic plan for mood disorders research (NIH Publication No. 03–5121)
Cited by
Sorted by citations
Time for united action on depression: a Lancet–World Psychiatric Association Commission
Herrman, H., Patel, V., Kieling, C., Berk, M., Buchweitz, C., Cuijpers, P., Furukawa, T. A., Kessler, R. C., Kohrt, B. A., Maj, M., et al. (2022) · The Lancet · doi:10.1016/s0140-6736(21)02141-3 · Cited by 1,104
The Theory Crisis in Psychology: How to Move Forward
Eronen, M. I., & Bringmann, L. F. (2021) · Perspectives on Psychological Science · doi:10.1177/1745691620970586 · Cited by 475
“The definition of MDD stems from the 1970s and has not essentially changed since then, although it is increasingly clear that the validity of the construct is problematic (De Jonge et al., 2015; Fried, 2017).”
BackgroundRevisiting the theoretical and methodological foundations of depression measurement
Fried, E. I., Flake, J. K., & Robinaugh, D. J. (2022) · Nature Reviews Psychology · doi:10.1038/s44159-022-00050-2 · Cited by 314
“Individual symptoms on depression scales, such as insomnia or suicidal ideation, might represent more valid and reliable phenotypes than symptom sum scores or categorical diagnoses 52,127,129 .”
BackgroundSelf-citationLinking RDoC and HiTOP: A new interface for advancing psychiatric nosology and neuroscience
Michelini, G., Palumbo, I. M., DeYoung, C. G., Latzman, R. D., & Kotov, R. (2021) · Clinical Psychology Review · doi:10.1016/j.cpr.2021.102025 · Cited by 304
Cerniauskas, I., Winterer, J., de Jong, J. W., Lukacsovich, D., Yang, H., Khan, F., Peck, J. R., Obayashi, S. K., Lilascharoen, V., Lim, B. K., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.09.005 · Cited by 187
“This heterogeneity of depression hinders both research and treatment of this highly prevalent disorder (Fried, 2017).”
Metadata
- Authors
- Fried, E.
- Affiliations
- Departmenf of Psychology, University of Amsterdam, Amsterdam, Netherlands
- Venue
- Expert Review of Neurotherapeutics
- Publisher
- Informa UK Limited
- Published
- 2017-03-22
- Volume
- 17
- Issue
- 5
- Pages
- 423-425
- ISSN
- 1473-7175 (ISSN-L)
- 1744-8360
- OpenAlex
- W2601225127
- Cited by
- 220
- References
- 23
- Citations by year
- 2026: 22 · 2025: 34 · 2024: 31 · 2023: 31 · 2022: 22 · 2021: 40 · 2020: 13 · 2019: 15 · 2018: 7 · 2017: 5
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Expert Review of Neurotherapeutics (publishedVersion)
- PubMed (publishedVersion)
- UvA-DARE (University of Amsterdam) (submittedVersion)
- Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- European Research Council Consolidator (647209)
- Topics
- Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Psychology › Clinical Psychology › Psychological Treatments and Disorders
- Keywords
- depression heterogeneity, depression treatment, depression research, clinical care, endophenotypes
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