Biotypes: promise and pitfalls
Integrity signals
Registry
Cites
Statistics
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?
Recent studies have revealed the importance of testing whether categorical, dimensional, and hybrid categorical-dimensional models best describe psychiatric disorders.
“In characterizing neurodevelopmental and psychiatric disorders, recent studies have revealed the importance of testing whether categorical, dimensional, and hybrid categorical-dimensional models best describe psychiatric disorders (Barch, 2017).”
From Investigating functional brain network integrity using a traditional and novel categorical scheme for neurodevelopmental disorders (2019) · cites this paper as Barch, 2017
Another possible explanation for the null EF subgroup result is that EF in children may be best assessed dimensionally rather than categorically.
“Another possible explanation for this null result is that EF in children may be best assessed dimensionally rather than categorically (Barch, 2017).”
From Investigating functional brain network integrity using a traditional and novel categorical scheme for neurodevelopmental disorders (2019) · cites this paper as Barch, 2017
Cites
Kotov, R., Krueger, R. F., Watson, D., Achenbach, T. M., Althoff, R. R., Bagby, R. M., Brown, T. A., Carpenter, W. T., Caspi, A., Clark, L. A., et al. (2017) · Journal of Abnormal Psychology · doi:10.1037/abn0000258 · Cited by 3,335 · see citing works
Identification of Distinct Psychosis Biotypes Using Brain-Based Biomarkers
Clementz, B. A., Sweeney, J. A., Hamm, J. P., Ivleva, E. I., Ethridge, L. E., Pearlson, G. D., Keshavan, M. S., & Tamminga, C. A. (2016) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2015.14091200 · Cited by 768 · see citing works
New Dimensions in the Quantitative Classification of Mental Illness
Kotov, R. (2011) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.107 · Cited by 369 · see citing works
Borsboom, D., Rhemtulla, M., Cramer, A. O. J., van der Maas, H. L. J., Scheffer, M., & Dolan, C. V. (2016) · Psychological Medicine · doi:10.1017/s0033291715001944 · Cited by 156 · see citing works
Ivleva, E. I., Clementz, B. A., Dutcher, A. M., Arnold, S. J. M., Jeon‐Slaughter, H., Aslan, S., Witte, B. P., Poudyal, G., Lu, H., Meda, S. A., et al. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.08.030 · Cited by 143 · see citing works
The structure of adolescent psychopathology: a symptom-level analysis
Carragher, N., Teesson, M., Sunderland, M., Newton, N. C., Krueger, R. F., Conrod, P., Barrett, E. L., Champion, K. E., Nair, N. K., & Slade, T. N. (2015) · Psychological Medicine · doi:10.1017/s0033291715002470 · Cited by 126 · see citing works
Thought disorder in the meta-structure of psychopathology
Keyes, K. M., Eaton, N. R., Krueger, R. F., Skodol, A. E., Wall, M. M., Grant, B. F., Siever, L. J., & Hasin, D. S. (2012) · Psychological Medicine · doi:10.1017/s0033291712002292 · Cited by 95 · see citing works
Latent variable mixture modeling in psychiatric research – a review and application
Miettunen, J., Nordström, T., Kaakinen, M., & Ahmed, A. O. (2015) · Psychological Medicine · doi:10.1017/s0033291715002305 · Cited by 86 · see citing works
Latent variable and network models of comorbidity: toward an empirically derived nosology
Eaton, N. R. (2015) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-015-1012-7 · Cited by 61 · see citing works
Toward a Model-Based Approach to the Clinical Assessment of Personality Psychopathology
Eaton, N. R., Krueger, R. F., Docherty, A. R., & Sponheim, S. R. (2013) · Journal of Personality Assessment · doi:10.1080/00223891.2013.830263 · Cited by 20 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Making Individual Prognoses in Psychiatry Using Neuroimaging and Machine Learning
Janssen, R. J., Mourão-Miranda, J., & Schnack, H. G. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.04.004 · Cited by 168 · see citing works
Parkes, L., Satterthwaite, T. D., & Bassett, D. S. (2020) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2020.10.016 · Cited by 116 · see citing works
Chang, M., Womer, F. Y., Gong, X., Chen, X., Tang, L., Feng, R., Dong, S., Duan, J., Chen, Y., Zhang, R., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-00892-3 · Cited by 92 · see citing works
Personalized Transcranial Magnetic Stimulation in Psychiatry
Cocchi, L., & Zalesky, A. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.01.008 · Cited by 89 · see citing works
Lin, H., Cocchi, L., Zalesky, A., Lv, J., Perry, A., Tseng, W. I., Kundu, P., Breakspear, M. J., & Gau, S. S. (2018) · Psychological Medicine · doi:10.1017/s0033291718000028 · Cited by 46 · see citing works
Dajani, D. R., Burrows, C. A., Odriozola, P., Baez, A., Nebel, M. B., Mostofsky, S. H., & Uddin, L. Q. (2019) · NeuroImage: Clinical · doi:10.1016/j.nicl.2019.101678 · Cited by 33 · see citing works
Chang, M., Womer, F. Y., Gong, X., Chen, X., Tang, L., Feng, R., Dong, S., Duan, J., Chen, Y., Zhang, R., et al. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-00938-6 · Cited by 35 · see citing works
Phenomapping: Methods and Measures for Deconstructing Diagnosis in Psychiatry
Marquand, A. F., Wolfers, T., & Dinga, R. (2019) · Springer eBooks · doi:10.1007/978-3-030-03553-2_7 · Cited by 32 · see citing works
Aquino, J. P. D., & Ross, D. A. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.09.008 · Cited by 4 · see citing works
- Authors
- Barch, D. M.
- Affiliations
- Washington University in St. Louis (US)
- Corresponding author
- Barch, Deanna M.
- ORCID
- Barch, Deanna M.
- Venue
- Biological Psychiatry
- Publisher
- Elsevier BV
- Published
- 2017-07
- Volume
- 82
- Issue
- 1
- Pages
- 2-3
- ISSN
- 0006-3223 (ISSN-L)
- OpenAlex
- W2625526348
- Cited by
- 9
- References
- 10
- Citations by year
- 2020: 3 · 2019: 2 · 2018: 3 · 2017: 1
- FWCI
- 2.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biological Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Brain Research Foundation
- Washington University in St. Louis
- National Institutes of Health
- National Institute of Mental Health (R01MH084840)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Health Sciences › Medicine › Psychiatry and Mental health › Bipolar Disorder and Treatment
- Social Sciences › Arts and Humanities › Philosophy › Mental Health and Psychiatry
- Keywords
- gray matter density, schizophrenia, schizoaffective disorder, endophenotypes, first-degree relatives, diagnostic validity, resting-state functional connectivity, cognitive control
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
