Mapping Research Domain Criteria using a transdiagnostic mini-RDoC assessment in mental disorders: a confirmatory factor analysis

Förstner, Bernd R.; Tschorn, Mira; Reinoso-Schiller, Nicolas; Mascarell-Maricic, Lea; Röcher, Erik; Kálmán, Jánoš; Stroth, Sanna; Mayer, Annalina V.; Schwarz, Kristina; Kaiser, Anna; Pfennig, Andrea; Manook, André; Ising, Marcus; Heinig, Ingmar; Pittig, Andre; Heinz, Andreas; Mathiak, Klaus; Schulze, Thomas G.; Schneider, Frank; Kamp‐Becker, Inge; Meyer‐Lindenberg, Andreas; Padberg, Frank; Banaschewski, Tobias; Bauer, Michael; Rupprecht, Rainer; Wittchen, Hans‐Ulrich; Rapp, Michael A.

doi:10.1007/s00406-022-01440-6

Cited by 8 publications

(10 citation statements)

References 37 publications

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“…Likewise focusing on self-report and behavioral units. Förstner et al (2022) found a structure of four latent and transnosological factors (PVS, NVS, CS, and SP) using a confirmatory factor analysis (CFA) approach, although these factors were not cross-modal. Differential associations between PV and NV symptom scores and clinical impairment, antidepressant response, and inflammation-related immunomarkers were revealed in a sample of MDD patients by Medeiros et al (2020).…”

Section: Cross-domain Positive and Negative Valence Systemsmentioning

confidence: 99%

Mood and anxiety disorders within the Research Domain Criteria framework of Positive and Negative Valence Systems: a scoping review

Böttger,

Förstner,

Szalek

et al. 2023

Front. Hum. Neurosci.

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IntroductionWhile a growing body of research is adopting Research Domain Criteria (RDoC)-related methods and constructs, there is still a lack of comprehensive reviews on the state of published research on Positive Valence Systems (PVS) and Negative Valence Systems (NVS) in mood and anxiety disorders consistent with the RDoC framework.MethodsFive electronic databases were searched to identify peer-reviewed publications covering research on “positive valence” and “negative valence” as well as “valence,” “affect,” and “emotion” for individuals with symptoms of mood and anxiety disorders. Data was extracted with a focus on disorder, domain, (sub-) constructs, units of analysis, key results, and study design. Findings are presented along four sections, distinguishing between primary articles and reviews each for PVS, NVS, and cross-domain PVS and NVS.ResultsA total of 231 abstracts were identified, and 43 met the inclusion criteria for this scoping review. Seventeen publications addressed research on PVS, seventeen on NVS, and nine covered cross-domain research on PVS and NVS. Psychological constructs were typically examined across different units of analysis, with the majority of publications incorporating two or more measures. Molecular, genetic, and physiological aspects were mainly investigated via review articles, primary articles focused on self-report, behavioral, and, to a lesser extent, physiological measures.ConclusionsThis present scoping review shows that mood and anxiety disorders were actively studied using a range of genetic, molecular, neuronal, physiological, behavioral, and self-report measures within the RDoC PVS and NVS. Results highlight the essential role of specific cortical frontal brain structures and of subcortical limbic structures in impaired emotional processing in mood and anxiety disorders. Findings also indicate overall limited research on NVS in bipolar disorders and PVS in anxiety disorders, a majority of self-report studies, and predominantly observational studies. Future research is needed to develop more RDoC-consistent advancements and intervention studies targeting neuroscience-driven PVS and NVS constructs.

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Section: Cross-domain Positive and Negative Valence Systemsmentioning

confidence: 99%

Mood and anxiety disorders within the Research Domain Criteria framework of Positive and Negative Valence Systems: a scoping review

Böttger,

Förstner,

Szalek

et al. 2023

Front. Hum. Neurosci.

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“…This investigation is an observational cross-sectional study assessing four core domains of the RDoC matrix (PVS, NVS, CS, and SP) within the German research network for mental disorders [Forschungszentrum zu psychischen Erkrankungen; FZPE] (46) as outlined by Förstner et al (12). Study centers throughout the FZPE network recruited participants for clinical and observational studies.…”

Section: Participantsmentioning

confidence: 99%

“…The RDoC approach views mental disorders as syndromes at multiple levels, also connected to disrupted or dysfunctional brain circuitry (6,7). To gain a better understanding of the links between disease-specific symptomatology and the underlying neural mechanisms of emotional (dys) function, the latent RDoC domains Positive (PVS) and Negative Valance System (NVS), Cognitive Systems (CS) and Social Processes (SP) were established and proved to be valid research constructs (8)(9)(10)(11)(12).…”

Section: Introductionmentioning

confidence: 99%

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The associations of Positive and Negative Valence Systems, Cognitive Systems and Social Processes on disease severity in anxiety and depressive disorders

et al. 2023

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BackgroundAnxiety and depressive disorders share common features of mood dysfunctions. This has stimulated interest in transdiagnostic dimensional research as proposed by the Research Domain Criteria (RDoC) approach by the National Institute of Mental Health (NIMH) aiming to improve the understanding of underlying disease mechanisms. The purpose of this study was to investigate the processing of RDoC domains in relation to disease severity in order to identify latent disorder-specific as well as transdiagnostic indicators of disease severity in patients with anxiety and depressive disorders.MethodsWithin the German research network for mental disorders, 895 participants (n = 476 female, n = 602 anxiety disorder, n = 257 depressive disorder) were recruited for the Phenotypic, Diagnostic and Clinical Domain Assessment Network Germany (PD-CAN) and included in this cross-sectional study. We performed incremental regression models to investigate the association of four RDoC domains on disease severity in patients with affective disorders: Positive (PVS) and Negative Valance System (NVS), Cognitive Systems (CS) and Social Processes (SP).ResultsThe results confirmed a transdiagnostic relationship for all four domains, as we found significant main effects on disease severity within domain-specific models (PVS: β = −0.35; NVS: β = 0.39; CS: β = −0.12; SP: β = −0.32). We also found three significant interaction effects with main diagnosis showing a disease-specific association.LimitationsThe cross-sectional study design prevents causal conclusions. Further limitations include possible outliers and heteroskedasticity in all regression models which we appropriately controlled for.ConclusionOur key results show that symptom burden in anxiety and depressive disorders is associated with latent RDoC indicators in transdiagnostic and disease-specific ways.

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“…Neural synchronization reflects the extent to which voxel-specific neural activity correlates between individuals. A high degree of synchronization suggests a population-wide similarity in the neural response to a common stimulus and may provide the basis by which we share an understanding of the world with other people that is necessary for many key high-level social functions ( Zaki and Ochsner, 2009 ; Adolphs et al. , 2016 ; Hasson and Frith, 2016 ; Nummenmaa et al.…”

mentioning

confidence: 99%

Neural responses to biological motion distinguish autistic and schizotypal traits

Hudson

Santavirta

Putkinen

et al. 2023

Social Cognitive and Affective Neuroscience

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Difficulties in social interactions characterize both autism and schizophrenia, and are correlated in the neurotypical population. It is unknown whether this represents a shared etiology or superficial phenotypic overlap. Both conditions exhibit atypical neural activity in response to the perception of social stimuli and decreased neural synchronization between individuals. This study investigated if neural activity and neural synchronization associated with biological motion perception are differentially associated with autistic and schizotypal traits in the neurotypical population. Participants viewed naturalistic social interactions whilst hemodynamic brain activity was measured with fMRI, which was modelled against a continuous measure of the extent of biological motion. General Linear Model analysis revealed that biological motion perception was associated with neural activity across the action-observation network. However, inter-subject phase synchronization analysis revealed neural activity to be synchronized between individuals in occipital and parietal areas, but de-synchronized in temporal and frontal regions. Autistic traits were associated with decreased neural activity (precuneus, middle cingulate gyrus) and schizotypal traits were associated with decreased neural synchronization (middle and inferior frontal gyri). Biological motion perception elicits divergent patterns of neural activity and synchronization, which dissociate autistic and schizotypal traits in the general population, suggesting they originate from different neural mechanisms.

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Mapping Research Domain Criteria using a transdiagnostic mini-RDoC assessment in mental disorders: a confirmatory factor analysis

Cited by 8 publications

References 37 publications

Mood and anxiety disorders within the Research Domain Criteria framework of Positive and Negative Valence Systems: a scoping review

Mood and anxiety disorders within the Research Domain Criteria framework of Positive and Negative Valence Systems: a scoping review

The associations of Positive and Negative Valence Systems, Cognitive Systems and Social Processes on disease severity in anxiety and depressive disorders

Neural responses to biological motion distinguish autistic and schizotypal traits

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