Evidence map›Paper›PMID 33798996›Full record

ReviewClinical psychology review2021

Linking RDoC and HiTOP: A new interface for advancing psychiatric nosology and neuroscience.

Giorgia Michelini, Isabella M Palumbo, Colin G DeYoung, Robert D Latzman, Roman Kotov

Abstract readReview
In one paragraph

Review in Clinical psychology review, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed, 8 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

111 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  7. Event-related brain oscillations in attention-deficit/hyperactivity disorder (ADHD): A systematic review and meta-analysis.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2022
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51 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Giorgia MicheliniSemel Institute for Neuroscience & Human Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA 90024, United States of America. Electronic address: gmichelini@mednet.ucla.edu.
Isabella M PalumboDepartment of Psychology, Georgia State University, Atlanta, GA 30303, United States of America.
Colin G DeYoungDepartment of Psychology, University of Minnesota, Minneapolis, MN 55455, United States of America.
Robert D LatzmanDepartment of Psychology, Georgia State University, Atlanta, GA 30303, United States of America.
Roman KotovDepartment of Psychiatry & Behavioral Health, Stony Brook University, Stony Brook, NY 11790, United States of America.

Funding

Spanish Adaptation of Negative Valence MeasuresR01MH122537 · NIMH · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI KOTOV, ROMAN I, SIMMS, LEONARD JAY · 2021 to 2024
$3.1M
NIMH NIH HHS R01 MH122537
6 · The paper itself

Abstract

The Research Domain Criteria (RDoC) and the Hierarchical Taxonomy of Psychopathology (HiTOP) represent major dimensional frameworks proposing two alternative approaches to accelerate progress in the way psychopathology is studied, classified, and treated. RDoC is a research framework rooted in neuroscience aiming to further the understanding of transdiagnostic biobehavioral systems underlying psychopathology and ultimately inform future classifications. HiTOP is a dimensional classification system, derived from the observed covariation among symptoms of psychopathology and maladaptive traits, which seeks to provide more informative research and treatment targets (i.e., dimensional constructs and clinical assessments) than traditional diagnostic categories. This article argues that the complementary strengths of RDoC and HiTOP can be leveraged in order to achieve their respective goals. RDoC's biobehavioral framework may help elucidate the underpinnings of the clinical dimensions included in HiTOP, whereas HiTOP may provide psychometrically robust clinical targets for RDoC-informed research. We present a comprehensive mapping between dimensions included in RDoC (constructs and subconstructs) and HiTOP (spectra and subfactors) based on narrative review of the empirical literature. The resulting RDoC-HiTOP interface sheds light on the biobehavioral correlates of clinical dimensions and provides a broad set of dimensional clinical targets for etiological and neuroscientific research. We conclude with future directions and practical recommendations for using this interface to advance clinical neuroscience and psychiatric nosology. Ultimately, we envision that this RDoC-HiTOP interface has the potential to inform the development of a unified, dimensional, and biobehaviorally-grounded psychiatric nosology.

Indexed as

Mental DisordersHumansPsychopathology

Identifiers

PMID33798996
PMCPMC8165014

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.