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Journal articles on the topic 'RDoC'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 February 2022

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1

Jiao, N., C. Robinson, F. Azam, H. Thomas, F. Baltar, H. Dang, N. J. Hardman-Mountford, et al. "Mechanisms of microbial carbon sequestration in the ocean – future research directions." Biogeosciences 11, no. 19 (October 1, 2014): 5285–306. http://dx.doi.org/10.5194/bg-11-5285-2014.

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Abstract. This paper reviews progress on understanding biological carbon sequestration in the ocean with special reference to the microbial formation and transformation of recalcitrant dissolved organic carbon (RDOC), the microbial carbon pump (MCP). We propose that RDOC is a concept with a wide continuum of recalcitrance. Most RDOC compounds maintain their levels of recalcitrance only in a specific environmental context (RDOCt). The ocean RDOC pool also contains compounds that may be inaccessible to microbes due to their extremely low concentration (RDOCc). This differentiation allows us to appreciate the linkage between microbial source and RDOC composition on a range of temporal and spatial scales. Analyses of biomarkers and isotopic records show intensive MCP processes in the Proterozoic oceans when the MCP could have played a significant role in regulating climate. Understanding the dynamics of the MCP in conjunction with the better constrained biological pump (BP) over geological timescales could help to predict future climate trends. Integration of the MCP and the BP will require new research approaches and opportunities. Major goals include understanding the interactions between particulate organic carbon (POC) and RDOC that contribute to sequestration efficiency, and the concurrent determination of the chemical composition of organic carbon, microbial community composition and enzymatic activity. Molecular biomarkers and isotopic tracers should be employed to link water column processes to sediment records, as well as to link present-day observations to paleo-evolution. Ecosystem models need to be developed based on empirical relationships derived from bioassay experiments and field investigations in order to predict the dynamics of carbon cycling along the stability continuum of POC and RDOC under potential global change scenarios. We propose that inorganic nutrient input to coastal waters may reduce the capacity for carbon sequestration as RDOC. The nutrient regime enabling maximum carbon storage from combined POC flux and RDOC formation should therefore be sought.

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Jiao, N., C. Robinson, F. Azam, H. Thomas, F. Baltar, H. Dang, N. J. Hardman-Mountford, et al. "Mechanisms of microbial carbon sequestration in the ocean – future research directions." Biogeosciences Discussions 11, no. 6 (June 3, 2014): 7931–90. http://dx.doi.org/10.5194/bgd-11-7931-2014.

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Abstract. This paper reviews progress on understanding biological carbon sequestration in the ocean with special reference to the microbial formation and transformation of recalcitrant dissolved organic carbon (RDOC), the microbial carbon pump (MCP). We propose that RDOC is a relative concept with a wide continuum of recalcitrance. Most RDOC compounds maintain their levels of recalcitrance only in a specific environmental context (RDOCt). The ocean RDOC pool also contains compounds that may be inaccessible to microbes due to their extremely low concentration (RDOCc). This differentiation allows us to appreciate the linkage between microbial source and RDOC composition on a range of temporal and spatial scales. Analyses of biomarkers and isotopic records show intensive MCP processes in the anoxic Proterozoic oceans when the MCP could have played a significant role in regulating climate. Understanding the dynamics of the MCP in conjunction with the better constrained biological pump (BP) over geological timescales could help to predict future climate trends. Integration of the MCP and the BP will require new research approaches and opportunities. Major goals include understanding the interactions between particulate organic carbon (POC) and RDOC that contribute to sequestration efficiency, and the concurrent determination of the chemical composition of organic carbon, microbial community composition and enzymatic activity. Molecular biomarkers and isotopic tracers should be employed to link water column processes to sediment records, as well as to link present-day observations to paleo-evolution. Ecosystem models need to be developed based on empirical relationships derived from bioassay experiments and field investigations in order to predict the dynamics of carbon cycling along the stability continuum of POC and RDOC under potential global change scenarios. We propose that inorganic nutrient input to coastal waters may reduce the capacity for carbon sequestration as RDOC. The nutrient regime enabling maximum carbon storage from combined POC flux and RDOC formation should therefore be sought.

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3

Lake, Jessica I., Cindy M. Yee, and Gregory A. Miller. "Misunderstanding RDoC." Zeitschrift für Psychologie 225, no. 3 (July 2017): 170–74. http://dx.doi.org/10.1027/2151-2604/a000301.

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Abstract. Mental illness is fundamentally mental, by definition about psychological rather than biological phenomena, but biological phenomena play key roles in understanding, preventing, and treating mental illness. The Research Domain Criteria (RDoC) initiative of the US National Institute of Mental Health (NIMH) is an unusually ambitious effort to foster integration of psychological and biological science in the service of psychopathology research. Some key features and common misunderstandings of RDoC are discussed here.

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Keshavan, Matcheri S., and Dost Ongur. "The journey from RDC/DSM diagnoses toward RDoC dimensions." World Psychiatry 13, no. 1 (February 2014): 44–46. http://dx.doi.org/10.1002/wps.20105.

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5

Demazeux, Steeves, and Vincent Pidoux. "Le projet RDoC." médecine/sciences 31, no. 8-9 (August 2015): 792–96. http://dx.doi.org/10.1051/medsci/20153108019.

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6

Kubo, A., M. Yamamoto-Kawai, and J. Kanda. "Seasonal variations in concentration and lability of dissolved organic carbon in Tokyo Bay." Biogeosciences 12, no. 1 (January 15, 2015): 269–79. http://dx.doi.org/10.5194/bg-12-269-2015.

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Abstract. Concentrations of recalcitrant and bioavailable dissolved organic carbon (DOC) and their seasonal variations were investigated at three stations in Tokyo Bay, Japan, and in two freshwater sources flowing into the bay. On average, recalcitrant DOC (RDOC), as a remnant of DOC after 150 days of bottle incubation, accounted for 78% of the total DOC in Shibaura sewage treatment plant (STP) effluent, 67% in the upper Arakawa River water, 66% in the lower Arakawa River water, and 78% in surface bay water. Bioavailable DOC (BDOC) concentrations, defined as DOC minus RDOC, were lower than RDOC at all stations. In freshwater environments, RDOC concentrations were almost constant throughout the year. In the bay, RDOC was higher during spring and summer than in autumn and winter because of freshwater input and biological production. The relative concentration of RDOC in the bay derived from phytoplankton, terrestrial, and open-oceanic waters was estimated to be 8–10, 21–32, and 59–69%, respectively, based on multiple regression analysis of RDOC, salinity, and chl a. In addition, comparison with previous data from 1972 revealed that concentrations of RDOC and BDOC have decreased by 33 and 74% at freshwater sites and 39 and 76% in Tokyo Bay, while the ratio of RDOC to DOC has increased. The change in DOC concentration and composition was probably due to increased amounts of STP effluent entering the system. Tokyo Bay exported mostly RDOC to the open ocean because of the remineralization of BDOC.

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7

Kubo, A., M. Yamamoto-Kawai, and J. Kanda. "Seasonal variations in concentration and composition of dissolved organic carbon in Tokyo Bay." Biogeosciences Discussions 11, no. 7 (July 1, 2014): 10203–28. http://dx.doi.org/10.5194/bgd-11-10203-2014.

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Abstract. Concentrations of recalcitrant and bioavailable dissolved organic carbon (DOC) and their seasonal variations were investigated at three stations in Tokyo Bay, Japan, and in two freshwater sources flowing into the bay to evaluate the significance of DOC degradation for the carbon budget in coastal waters and carbon export to the open ocean. Recalcitrant DOC (RDOC) was differentiated from bioavailable DOC (BDOC) as a remnant of DOC after 150 days of bottle incubation. On average, RDOC accounted for 78% of the total DOC in Shibaura sewage treatment plant (STP) effluent, 67% in the upper Arakawa River water, 66% in the lower Arakawa River water, and 78% in surface bay water. RDOC concentrations were higher than BDOC at all stations. In freshwater environments, RDOC concentrations were almost constant throughout the year. In the bay, RDOC was higher during spring and summer than during autumn and winter. The relative abundance of RDOC in the bay derived from phytoplankton, terrestrial, and open oceanic waters was estimated to be 9%, 33%, and 58%, respectively, by multiple regression analysis of RDOC, salinity, and chl a. In addition, comparison with previous data from 1972 revealed that concentrations of RDOC and BDOC have decreased by 33% and 74% at freshwater sites and 39% and 76% at Tokyo Bay, while the ratio of RDOC to DOC has increased. The change in DOC concentration and composition was probably due to increased amounts of sewage treatment plant effluent entering the system. Tokyo Bay exported DOC, mostly RDOC, to the open ocean because of remineralization of BDOC.

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8

Glenn, Catherine R., Christine B. Cha, Evan M. Kleiman, and Matthew K. Nock. "Understanding Suicide Risk Within the Research Domain Criteria (RDoC) Framework: Insights, Challenges, and Future Research Considerations." Clinical Psychological Science 5, no. 3 (April 26, 2017): 568–92. http://dx.doi.org/10.1177/2167702616686854.

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Suicide is a leading cause of death worldwide. Prior research has focused primarily on sociodemographic and psychiatric risk factors with little improvement in the prediction or prevention of suicidal behavior over time. The Research Domain Criteria (RDoC) may be an especially useful framework for advancing research in this area. This article provides a brief and broad overview of research on suicidal behavior relating to each of the RDoC domains—highlighting the RDoC construct(s) where research has focused, the construct(s) where research is lacking, and suggestions for future research directions. We also discuss major challenges for suicide research within the RDoC framework, including the intersection of RDoC domains, interaction of domains with the environment, incorporation of developmental stage, integration of distal and proximal processes, and inclusion of suicide-specific constructs. We conclude by underscoring important considerations for future research aimed at using the RDoC framework to study suicidal behavior and other forms of psychopathology.

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9

Lee, Dong Yun, Jimyung Park, Jai Sung Noh, Hyun Woong Roh, Jae Ho Ha, Eun Young Lee, Sang Joon Son, and Rae Woong Park. "Characteristics of Dimensional Psychopathology in Suicidal Patients With Major Psychiatric Disorders and Its Association With the Length of Hospital Stay: Algorithm Validation Study." JMIR Mental Health 8, no. 9 (September 3, 2021): e30827. http://dx.doi.org/10.2196/30827.

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Background Suicide has emerged as a serious concern for public health; however, only few studies have revealed the differences between major psychiatric disorders and suicide. Recent studies have attempted to quantify research domain criteria (RDoC) into numeric scores to systematically use them in computerized methods. The RDoC scores were used to reveal the characteristics of suicide and its association with major psychiatric disorders. Objective We intended to investigate the differences in the dimensional psychopathology among hospitalized suicidal patients and the association between the dimensional psychopathology of psychiatric disorders and length of hospital stay. Methods This retrospective study enrolled hospitalized suicidal patients diagnosed with major psychiatric disorders (depression, schizophrenia, and bipolar disorder) between January 2010 and December 2020 at a tertiary hospital in South Korea. The RDoC scores were calculated using the patients’ admission notes. To measure the differences between psychiatric disorder cohorts, analysis of variance and the Cochran Q test were conducted and post hoc analysis for RDoC domains was performed with the independent two-sample t test. A linear regression model was used to analyze the association between the RDoC scores and sociodemographic features and comorbidity index. To estimate the association between the RDoC scores and length of hospital stay, multiple logistic regression models were applied to each psychiatric disorder group. Results We retrieved 732 admissions for 571 patients (465 with depression, 73 with schizophrenia, and 33 with bipolar disorder). We found significant differences in the dimensional psychopathology according to the psychiatric disorders. The patient group with depression showed the highest negative RDoC domain scores. In the cognitive and social RDoC domains, the groups with schizophrenia and bipolar disorder scored higher than the group with depression. In the arousal RDoC domain, the depression and bipolar disorder groups scored higher than the group with schizophrenia. We identified significant associations between the RDoC scores and length of stay for the depression and bipolar disorder groups. The odds ratios (ORs) of the length of stay were increased because of the higher negative RDoC domain scores in the group with depression (OR 1.058, 95% CI 1.006-1.114) and decreased by higher arousal RDoC domain scores in the group with bipolar disorder (OR 0.537, 95% CI 0.285-0.815). Conclusions This study showed the association between the dimensional psychopathology of major psychiatric disorders related to suicide and the length of hospital stay and identified differences in the dimensional psychopathology of major psychiatric disorders. This may provide new perspectives for understanding suicidal patients.

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10

Fulford, Kenneth W. M. "RDoC+: taking translation seriously." World Psychiatry 13, no. 1 (February 2014): 54–55. http://dx.doi.org/10.1002/wps.20106.

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11

Walter, H. "Research Domain Criteria (RDoC)." Der Nervenarzt 88, no. 5 (February 10, 2017): 538–48. http://dx.doi.org/10.1007/s00115-017-0284-4.

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12

Lonsdorf, Tina B., and Jan Richter. "Challenges of Fear Conditioning Research in the Age of RDoC." Zeitschrift für Psychologie 225, no. 3 (July 2017): 189–99. http://dx.doi.org/10.1027/2151-2604/a000303.

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Abstract. As the criticism of the definition of the phenotype (i.e., clinical diagnosis) represents the major focus of the Research Domain Criteria (RDoC) initiative, it is somewhat surprising that discussions have not yet focused more on specific conceptual and procedural considerations of the suggested RDoC constructs, sub-constructs, and associated paradigms. We argue that we need more precise thinking as well as a conceptual and methodological discussion of RDoC domains and constructs, their interrelationships as well as their experimental operationalization and nomenclature. The present work is intended to start such a debate using fear conditioning as an example. Thereby, we aim to provide thought-provoking impulses on the role of fear conditioning in the age of RDoC as well as conceptual and methodological considerations and suggestions to guide RDoC-based fear conditioning research in the future.

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13

Mittal, Vijay A., and Lauren S. Wakschlag. "Research domain criteria (RDoC) grows up: Strengthening neurodevelopment investigation within the RDoC framework." Journal of Affective Disorders 216 (July 2017): 30–35. http://dx.doi.org/10.1016/j.jad.2016.12.011.

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14

AKRAM, FAISAL, and JAMES GIORDANO. "Research Domain Criteria as Psychiatric Nosology." Cambridge Quarterly of Healthcare Ethics 26, no. 4 (September 22, 2017): 592–601. http://dx.doi.org/10.1017/s096318011700010x.

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Abstract:Diagnostic classification systems in psychiatry have continued to rely on clinical phenomenology, despite limitations inherent in that approach. In view of these limitations and recent progress in neuroscience, the National Institute of Mental Health (NIMH) has initiated the Research Domain Criteria (RDoC) project to develop a more neuroscientifically based system of characterizing and classifying psychiatric disorders. The RDoC initiative aims to transform psychiatry into an integrative science of psychopathology in which mental illnesses will be defined as involving putative dysfunctions in neural nodes and networks. However, conceptual, methodological, neuroethical, and social issues inherent in and/or derived from the use of RDoC need to be addressed before any attempt is made to implement their use in clinical psychiatry. This article describes current progress in RDoC; defines key technical, neuroethical, and social issues generated by RDoC adoption and use; and posits key questions that must be addressed and resolved if RDoC are to be employed for psychiatric diagnoses and therapeutics. Specifically, we posit that objectivization of complex mental phenomena may raise ethical questions about autonomy, the value of subjective experience, what constitutes normality, what constitutes a disorder, and what represents a treatment, enablement, and/or enhancement. Ethical issues may also arise from the (mis)use of biomarkers and phenotypes in predicting and treating mental disorders, and what such definitions, predictions, and interventions portend for concepts and views of sickness, criminality, professional competency, and social functioning. Given these issues, we offer that a preparatory neuroethical framework is required to define and guide the ways in which RDoC-oriented research can—and arguably should—be utilized in clinical psychiatry, and perhaps more broadly, in the social sphere.

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15

Castro-de-Araujo, Luis FS, Neil Levy, and Richard AA Kanaan. "RDoC and shift of reference." Australasian Psychiatry 24, no. 5 (July 10, 2016): 470–72. http://dx.doi.org/10.1177/1039856216646229.

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16

Patrick, Christopher J., and Greg Hajcak. "RDoC: Translating promise into progress." Psychophysiology 53, no. 3 (February 15, 2016): 415–24. http://dx.doi.org/10.1111/psyp.12612.

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17

Weinberger, Daniel R., Ira D. Glick, and Donald F. Klein. "Whither Research Domain Criteria (RDoC)?" JAMA Psychiatry 72, no. 12 (December 1, 2015): 1161. http://dx.doi.org/10.1001/jamapsychiatry.2015.1743.

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18

Jablensky, Assen, and Flavie Waters. "RDoC: a roadmap to pathogenesis?" World Psychiatry 13, no. 1 (February 2014): 43–44. http://dx.doi.org/10.1002/wps.20100.

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19

Cuthbert, Bruce N. "The RDoC framework: continuing commentary." World Psychiatry 13, no. 2 (June 2014): 196–97. http://dx.doi.org/10.1002/wps.20140.

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20

Kelly, J. R., G. Clarke, J. F. Cryan, and T. G. Dinan. "Dimensional thinking in psychiatry in the era of the Research Domain Criteria (RDoC)." Irish Journal of Psychological Medicine 35, no. 2 (April 5, 2017): 89–94. http://dx.doi.org/10.1017/ipm.2017.7.

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The biological mechanisms underlying psychiatric diagnoses are not well defined. Clinical diagnosis based on categorical systems exhibit high levels of heterogeneity and co-morbidity. The Research Domain Criteria (RDoC) attempts to reconceptualize psychiatric disorders into transdiagnostic functional dimensional constructs based on neurobiological measures and observable behaviour. By understanding the underlying neurobiology and pathophysiology of the relevant processes, the RDoC aims to advance biomarker development for disease prediction and treatment response. This important evolving dimensional framework must also consider environmental factors. Emerging evidence suggests that gut microbes (microbiome) play a physiological role in brain diseases by modulating neuroimmune, neuroendocrine and neural signalling pathways between the gut and the brain. The integration of the gut microbiome signature as an additional dimensional component of the RDoC may enhance precision psychiatry.

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Sher, Kenneth J. "Moving the Alcohol Addiction RDoC Forward." Alcoholism: Clinical and Experimental Research 39, no. 4 (February 6, 2015): 591. http://dx.doi.org/10.1111/acer.12661.

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22

Shepard, P. D. "Basic Science, RDoC, and Schizophrenia Bulletin." Schizophrenia Bulletin 40, no. 4 (June 3, 2014): 717–18. http://dx.doi.org/10.1093/schbul/sbu077.

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23

Bedwell, Jeffrey S., Diane Carol Gooding, Chi C. Chan, and Benjamin J. Trachik. "Anhedonia in the age of RDoC." Schizophrenia Research 160, no. 1-3 (December 2014): 226–27. http://dx.doi.org/10.1016/j.schres.2014.10.028.

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24

Greenebaum, Sophie L. A., and Andrew A. Nierenberg. "More on the NIMH RDoC initiative." Bipolar Disorders 22, no. 1 (November 29, 2019): 11–12. http://dx.doi.org/10.1111/bdi.12874.

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Parnas, Josef. "The RDoC program: psychiatry without psyche?" World Psychiatry 13, no. 1 (February 2014): 46–47. http://dx.doi.org/10.1002/wps.20101.

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26

Frances, Allen. "RDoC is necessary, but very oversold." World Psychiatry 13, no. 1 (February 2014): 47–49. http://dx.doi.org/10.1002/wps.20102.

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Gur, Ruben C., and Raquel E. Gur. "Social cognition as an RDoC domain." American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 171, no. 1 (November 26, 2015): 132–41. http://dx.doi.org/10.1002/ajmg.b.32394.

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Carroll, B. J. "Clinical science and biomarkers: against RDoC." Acta Psychiatrica Scandinavica 132, no. 6 (September 15, 2015): 423–24. http://dx.doi.org/10.1111/acps.12489.

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29

Klein, D. F. "RDoC is adverse to scientific creativity." Acta Psychiatrica Scandinavica 134, no. 5 (August 29, 2016): 452–54. http://dx.doi.org/10.1111/acps.12637.

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Blair, RJR. "Psychopathic traits from an RDoC perspective." Current Opinion in Neurobiology 30 (February 2015): 79–84. http://dx.doi.org/10.1016/j.conb.2014.09.011.

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Akhapkin, R. V. "RDoC: integration or separation of neuroscience and psychopathology?" V.M. BEKHTEREV REVIEW OF PSYCHIATRY AND MEDICAL PSYCHOLOGY, no. 4-1 (December 9, 2019): 65–66. http://dx.doi.org/10.31363/2313-7053-2019-4-1-65-66.

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The Research Domain Criteria (RDoC) project, the neurobiological research flagship in psychiatry, was originally introduced as an alternative to the traditional DSM and ICD classifications. However, RDoC and ICD / DSM can become complementary, rather than mutually exclusive. The clinical psychopathological method remains valuable because it’s the only source of directly observable data. Computational science is a promising tool for combining psychopathological and neurobiological data in future.

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Beaupré, Steven R., David J. Kieber, William C. Keene, Michael S. Long, John R. Maben, Xi Lu, Yuting Zhu, et al. "Oceanic efflux of ancient marine dissolved organic carbon in primary marine aerosol." Science Advances 5, no. 10 (October 2019): eaax6535. http://dx.doi.org/10.1126/sciadv.aax6535.

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Breaking waves produce bubble plumes that burst at the sea surface, injecting primary marine aerosol (PMA) highly enriched with marine organic carbon (OC) into the atmosphere. It is widely assumed that this OC is modern, produced by present-day biological activity, even though nearly all marine OC is thousands of years old, produced by biological activity long ago. We used natural abundance radiocarbon (14C) measurements to show that 19 to 40% of the OC associated with freshly produced PMA was refractory dissolved OC (RDOC). Globally, this process removes 2 to 20 Tg of RDOC from the oceans annually, comparable to other RDOC losses. This process represents a major removal pathway for old OC from the sea, with important implications for oceanic and atmospheric biogeochemistry, the global carbon cycle, and climate.

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Sheth, Chandni, Erin McGlade, and Deborah Yurgelun-Todd. "Chronic Stress in Adolescents and Its Neurobiological and Psychopathological Consequences: An RDoC Perspective." Chronic Stress 1 (February 2017): 247054701771564. http://dx.doi.org/10.1177/2470547017715645.

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The Research Domain Criteria (RDoC) initiative provides a strategy for classifying psychopathology based on behavioral dimensions and neurobiological measures. Neurodevelopment is an orthogonal dimension in the current RDoC framework; however, it has not yet been fully incorporated into the RDoC approach. A combination of both a neurodevelopmental and RDoC approach offers a multidimensional perspective for understanding the emergence of psychopathology during development. Environmental influence (e.g., stress) has a profound impact on the risk for development of psychiatric illnesses. It has been shown that chronic stress interacts with the developing brain, producing significant changes in neural circuits that eventually increase the susceptibility for development of psychiatric disorders. This review highlights effects of chronic stress on the adolescent brain, as adolescence is a period characterized by a combination of significant brain alterations, high levels of stress, and emergence of psychopathology. The literature synthesized in this review suggests that chronic stress-induced changes in neurobiology and behavioral constructs underlie the shared vulnerability across a number of disorders in adolescence. The review particularly focuses on depression and substance use disorders; however, a similar argument can also be made for other psychopathologies, including anxiety disorders. The summarized findings underscore the need for a framework to integrate neurobiological findings from disparate psychiatric disorders and to target transdiagnostic mechanisms across disorders.

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Mohamad, Hafiz, and M. N. Osman Zahid. "Investigation of the correlation between radial depth of cut (RDOC) and axial depth of cut (ADOC) in NX-CAM system: Simulation Studies." MATEC Web of Conferences 255 (2019): 02005. http://dx.doi.org/10.1051/matecconf/201925502005.

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This paper outlines a simulation study to investigate the correlation between radial depth of cut (RDOC) and axial depth of cut (ADOC) in 4 axis machining processes. Computer-aided Manufacturing (CAM) plays a crucial role in simulating cutting operations before the real process executed. Several cutting parameters can be analysed through effective CAM program to predict the outcomes. However, an efficient program required skilled operator to develop the process planning. Besides, a standard CAM system has limited capabilities to handle repetitive simulation due to unavailable function to support the analysis. In this study, the combination of RDOC and ADOC is analyses on different parts features consist of planar surface and non-planar surface. Several set of pairing percentages between RDOC and ADOC are used in the simulation program to analyses the cutting operations. In order to perform the simulation, a customized program was developed in NX CAM system to assist the routines. It capable to generate machining data files from each simulation and assess the total volume removed. A pairing set with high volume removal is denoted as an optimum value and will be chosen as a cutting parameter in finishing operation. Generally, ADOC has a significant effect compared to RDOC in terms of total volume removed from the workpiece.

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Weine, Stevan Merill, Scott Langenecker, and Aliriza Arenliu. "Global mental health and the National Institute of Mental Health Research Domain Criteria." International Journal of Social Psychiatry 64, no. 5 (May 22, 2018): 436–42. http://dx.doi.org/10.1177/0020764018778704.

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Background: The National Institute of Mental Health (NIMH) Research Domain Criteria (RDoC) project presents innovative ways of investigating mental illness based on behavioral and neurobiological measures of dimensional processes. Although cultural psychiatrists have critiqued RDoC’s implications and limitations for its under-developed focus on context and experience, RDoC presents opportunities for synergies with global mental health. It can capture aspects of clinical or sub-clinical behavior which are less dependent upon Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5) and perhaps better elucidate the role of culture in disease expression and resilience. Aim/Results: This article uses the example of migration to describe several starting points for new research: (1) providing components for building an investigable conceptual framework to understand individual’s mental health, resilience and adjustment to migration challenges or social adversities in low- and middle-income countries (LMICs) and (2) identifying measurable factors which determine resilience or vulnerability, to guide development and evaluation of targeted prevention, treatment and recovery strategies for mental health in LMICs. Conclusion: In such ways, RDoC frameworks could help put the new cutting edge neurobiological dimensional scientific advances in a position to contribute to addressing mental health problems amid social adversities in LMICs. However, this would require a much-expanded commitment by both RDoC and global mental health researchers to address contextual and experiential dimensions.

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Stoyanov, Drozdstoy, Diogo Telles-Correia, and Bruce N. Cuthbert. "The Research Domain Criteria (RDoC) and the historical roots of psychopathology: A viewpoint." European Psychiatry 57 (January 21, 2019): 58–60. http://dx.doi.org/10.1016/j.eurpsy.2018.11.007.

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AbstractIn this article we aim at conceptual reconstruction of the historical background behind RDoC project. It incorporates some elements that have not heretofore been included in frameworks for psychopathology research. At the same time, however, RDoC – like any approach to mental illness – must grapple with longstanding challenges in addressing issues about the roles and relationships of mind, brain, and patients’ reports in considering the nature of disorder. In this respect, the historical roots of psychopathology remain as relevant as ever.

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Walther, S., J. A. Bernard, V. A. Mittal, and S. A. Shankman. "The utility of an RDoC motor domain to understand psychomotor symptoms in depression." Psychological Medicine 49, no. 2 (October 16, 2018): 212–16. http://dx.doi.org/10.1017/s0033291718003033.

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AbstractDespite the clinical impact of motor symptoms such as agitation or retardation on the course of depression, these symptoms are poorly understood. Novel developments in the field of instrumentation and mobile devices allow for dimensional and continuous recording of motor behavior in various settings, particularly outside the laboratory. Likewise, the use of novel assessments enables to combine multimodal neuroimaging with behavioral measures in order to investigate the neural correlates of motor dysfunction in depression. The research domain criteria (RDoC) framework will soon include a motor domain that will provide a framework for studying motor dysfunction in mood disorders. In addition, new studies within this framework will allow investigators to study motor symptoms across different stages of depression as well as other psychiatric diagnoses. Finally, the introduction of the RDoC motor domain will help test how motor symptoms integrate with the original five RDoC domains (negative valence, positive valence, cognitive, social processes, and arousal/regulation).

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38

Carpenter, W. T. "RDoC and DSM-5: What's the Fuss?" Schizophrenia Bulletin 39, no. 5 (July 24, 2013): 945–46. http://dx.doi.org/10.1093/schbul/sbt101.

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39

Ford, J. M., S. E. Morris, R. E. Hoffman, I. Sommer, F. Waters, S. McCarthy-Jones, R. J. Thoma, et al. "Studying Hallucinations Within the NIMH RDoC Framework." Schizophrenia Bulletin 40, Suppl 4 (May 21, 2014): S295—S304. http://dx.doi.org/10.1093/schbul/sbu011.

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40

Lieblich, Samuel M., David J. Castle, and Ian P. Everall. "RDoC: We should look before we leap." Australian & New Zealand Journal of Psychiatry 49, no. 9 (June 22, 2015): 770–71. http://dx.doi.org/10.1177/0004867415592956.

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41

Garnaat, Sarah L., Christine A. Conelea, Nicole C. R. McLaughlin, and Kristen Benito. "Pediatric OCD in the era of RDoC." Journal of Obsessive-Compulsive and Related Disorders 23 (October 2019): 100385. http://dx.doi.org/10.1016/j.jocrd.2018.03.002.

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42

Miller, Gregory A., Brigitte S. Rockstroh, Holly K. Hamilton, and Cindy M. Yee. "Psychophysiology as a core strategy in RDoC." Psychophysiology 53, no. 3 (February 15, 2016): 410–14. http://dx.doi.org/10.1111/psyp.12581.

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43

Lilienfeld, Scott O., and Michael T. Treadway. "Clashing Diagnostic Approaches: DSM-ICD Versus RDoC." Annual Review of Clinical Psychology 12, no. 1 (March 28, 2016): 435–63. http://dx.doi.org/10.1146/annurev-clinpsy-021815-093122.

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44

Zorzanelli, Rafaela, Paulo Dalgalarrondo, and Cláudio E. M. Banzato. "O projeto Research Domain Criteria e o abandono da tradição psicopatológica." Revista Latinoamericana de Psicopatologia Fundamental 17, no. 2 (June 2014): 328–41. http://dx.doi.org/10.1590/1984-0381v17n2a12.

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Abstract:

O artigo explora os pressupostos epistemológicos do Research Domain Criteria (RDoC) - projeto de investigação empírica dos transtornos mentais, dentro de uma plataforma biológica - promovido pelo National Institute of Mental Health (NIMH). Discute-se o ataque feito ao sistema DSM, pouco antes do lançamento de sua quinta versão, a partir da perspectiva neurocientífica adotada pelo RDoC. A aposta na patofisiologia, combinada com a exclusão da experiência descrita em primeira pessoa, aponta um cenário em que a pesquisa e a clínica se divorciam, com o risco do advento de uma estranha psiquiatria sem psique e sem pathos.

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45

Ross, Rachel A., Simmie L. Foster, and Dawn F. Ionescu. "The Role of Chronic Stress in Anxious Depression." Chronic Stress 1 (February 2017): 247054701668947. http://dx.doi.org/10.1177/2470547016689472.

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Depression is a heterogeneous disease with many different subtypes. Patients with the anxious depression—a common subtype of major depression—are at an increased risk for treatment-resistance to standard antidepressants, with resultant increases in morbidity. However, the underlying pathophysiology of anxious depression remains unknown. Without such knowledge, the development of targeted treatments towards this specific depression subtype will likely remain elusive. One method by which research into the neurobiology of anxious depression may prove fruitful is with the research domain criteria (RDoC). RDoC provides a framework for investigation into the underlying pathophysiology of mental illness. By studying disorders in terms of RDoC constructs—such as the sustained threat construct of the negative valence system—new insights may be gained into neurobiological mechanisms of disease. These mechanisms may be useful for the development of novel antidepressants that are based on specific brain targets. Specifically, we review the impact that sustained threat—or chronic stress—has on the eventual development of depression (especially anxious depression) through pathological changes to molecules, cells, neurocircuitry, physiology, and behavior.

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McLaren, Niall. "Cells, Circuits, and Syndromes: A Critical Commentary on the NIMH Research Domain Criteria Project." Ethical Human Psychology and Psychiatry 13, no. 3 (2012): 229–36. http://dx.doi.org/10.1891/1559-4343.13.3.229.

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The US National Institute of Mental Health (NIMH) has recently declared a new research program for psychiatry, the Research Domain Criteria (RDoC), as the successor of the long-standing Diagnostic and Statistical Manual of Mental Disorders (DSM) diagnostic program. However, the new program is based on a series of assumptions that, on analysis, lack any formal scientific standing. Essentially, as presently conceptualized, the RDoC program is no more than ideology masquerading as science, and thus cannot achieve its stated goals. It is argued that the program will lead psychiatry into intellectually sterile areas because it is in fact the wrong research program for the present state of our knowledge.

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Young, Gerald. "PTSD, Endophenotypes, the RDoC, and the DSM-5." Psychological Injury and Law 7, no. 1 (March 2014): 75–91. http://dx.doi.org/10.1007/s12207-014-9187-x.

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Colibazzi, Tiziano. "Journal Watch review of Research domain criteria (RDoC)." Journal of the American Psychoanalytic Association 62, no. 4 (August 2014): 709–10. http://dx.doi.org/10.1177/0003065114543185.

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Cohen, Alex S., Thanh P. Le, Taylor L. Fedechko, and Brita Elvevåg. "Can RDoC Help Find Order in Thought Disorder?" Schizophrenia Bulletin 43, no. 3 (April 8, 2017): 503–8. http://dx.doi.org/10.1093/schbul/sbx030.

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Levy, Florence. "DSM-5, ICD-11, RDoC and ADHD diagnosis." Australian & New Zealand Journal of Psychiatry 48, no. 12 (November 3, 2014): 1163–64. http://dx.doi.org/10.1177/0004867414557527.

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