ArticlePsychophysiology2016
Neuroethology as a translational neuroscience strategy in the era of the NIMH Research Domain Criteria.
Article in Psychophysiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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0 citing papers in PubMed.
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1 author.
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Abstract
The article by Latzman et al. in the current special issue utilizes a novel dataset consisting of behavioral, brain, and genomic data from a sample of 76 captive chimpanzees to make the case that negative affective expression is influenced by variation in the gene coding for arginine vasopressin receptor 1A (AVPR1A), in a sex-linked manner. A novel feature of this study is the ethological approach employed by the authors, i.e., the use of scratching as a behavioral indicator of negative affective state. I comment on conceptual and methodological aspects of this work, and consider how it interfaces with the Research Domain Criteria (RDoC) framework as described by Kozak and Cuthbert in their article for this issue.
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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.