Evidence map›Paper›PMID 32034686›Full record

ArticleCognitive, affective & behavioral neuroscience2020

Keep your interoceptive streams under control: An active inference perspective on anorexia nervosa.

Laura Barca, Giovanni Pezzulo

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In one paragraph

Article in Cognitive, affective & behavioral neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–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

29 citing papers in PubMed.

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  12. Surfing uncertainty with screams: predictive processing, error dynamics and horror films.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
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  17. Editorial concepts in interaction: social engagement and inner experiences.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  18. Mapping the mental space of emotional concepts through kinematic measures of decision uncertainty.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
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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

2 authors.

Laura BarcaInstitute of Cognitive Science and Technologies, ISTC-CNR, Via San Martino della Battaglia, 44, 00141, Rome, Italy. laura.barca@istc.cnr.it.
Giovanni PezzuloInstitute of Cognitive Science and Technologies, ISTC-CNR, Via San Martino della Battaglia, 44, 00141, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anorexia nervosa (AN) is a psychiatric disorder primarily characterized by "restriction of energy intake relative to requirements leading to a significantly low body weight in the context of age, sex, developmental trajectory, and physical health" (DSM-5, n.d.). Here, we propose a novel interpretation of food restriction of AN, which elaborates on recent accounts of the brain as a predictive machine, continuously inferring and controling incoming signals, including bodily signals - i.e., interoceptive (active) inference. In this perspective, the extreme eating restrictions characterizing AN may serve the fundamental role of keeping under control (i.e., reducing excessively high levels of) interoceptive uncertainty, above and beyond controlling and mitigating concerns for body weight. In other words, noisy interoceptive streams may instantiate active strategies (i.e., eating restrictions) that amplify autonomic hunger signals, to minimize interoceptive uncertainty and maintain a more coherent sense of (interoceptive) self.

Indexed as

AdultAnorexia NervosaAwarenessBody WeightBrainEatingHeart RateHumansActive inferenceAnorexia nervosaCognitive controlInteroceptionSelf-coherenceStarvationUncertainty

Identifiers

What OpenQuestion holds

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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.