ReviewAmerican journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics2016
An examination of the language construct in NIMH's research domain criteria: Time for reconceptualization!
Review in American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Unraveling consistently altered brain activations of language deficits in schizophrenia: evidence from ALE meta-analysis.Translational psychiatry · 2025Pooled it
- Natural selection and language genes in humans.Scientific reports · 2026Article
- Increased self-focus and diminished informativity: referential and structural properties of narrative speech production in borderline personality disorder.Borderline personality disorder and emotion dysregulation · 2025Article
- Relationship between grammar and schizophrenia: a systematic review and meta-analysis.Communications medicine · 2025Article
- Acoustic-based machine learning approaches for depression detection in Chinese university students.Frontiers in public health · 2025Article
- Contributions of face processing, social anhedonia and mentalizing to the expression of social autistic-like traits.Frontiers in behavioral neuroscience · 2022Article
- Facilitative Effects of Transcranial Direct Current Stimulation on Semantic Memory Examined by Text-Mining Analysis in Patients With Schizophrenia.Frontiers in neurology · 2021Article
- Language as a biomarker for psychosis: A natural language processing approach.Schizophrenia research · 2020Review
- The Action of Verbal and Non-verbal Communication in the Therapeutic Alliance Construction: A Mixed Methods Approach to Assess the Initial Interactions With Depressed Patients.Frontiers in psychology · 2020Article
- Piecing together fragments: Linguistic cohesion mediates the relationship between executive function and metacognition in schizophrenia.Schizophrenia research · 2020Article
- Clinical state tracking in serious mental illness through computational analysis of speech.PloS one · 2020Article
- A machine learning approach to predicting psychosis using semantic density and latent content analysis.NPJ schizophrenia · 2019Article
- Language Patterns Discriminate Mild Depression From Normal Sadness and Euthymic State.Frontiers in psychiatry · 2018Article
- Thoughts About Disordered Thinking: Measuring and Quantifying the Laws of Order and Disorder.Schizophrenia bulletin · 2017Article
- Can RDoC Help Find Order in Thought Disorder?Schizophrenia bulletin · 2017Review
- The effect of limited cognitive resources on communication disturbances in serious mental illness.Psychiatry research · 2017Article
- An examination of the language construct in NIMH's research domain criteria: Time for reconceptualization!American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
The National Institute of Mental Health's Research Domain Criteria (RDoC) Initiative "calls for the development of new ways of classifying psychopathology based on dimensions of observable behavior." As a result of this ambitious initiative, language has been identified as an independent construct in the RDoC matrix. In this article, we frame language within an evolutionary and neuropsychological context and discuss some of the limitations to the current measurements of language. Findings from genomics and the neuroimaging of performance during language tasks are discussed in relation to serious mental illness and within the context of caveats regarding measuring language. Indeed, the data collection and analysis methods employed to assay language have been both aided and constrained by the available technologies, methodologies, and conceptual definitions. Consequently, different fields of language research show inconsistent definitions of language that have become increasingly broad over time. Individually, they have also shown significant improvements in conceptual resolution, as well as in experimental and analytic techniques. More recently, language research has embraced collaborations across disciplines, notably neuroscience, cognitive science, and computational linguistics and has ultimately re-defined classical ideas of language. As we move forward, the new models of language with their remarkably multifaceted constructs force a re-examination of the NIMH RDoC conceptualization of language and thus the neuroscience and genetics underlying this concept. © 2016 The Authors. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics Published by Wiley Periodicals, Inc.
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Registered trials
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.