Evidence map›Paper›PMID 37614037›Full record

ArticleJournal of applied behavior analysis

Application of the evolutionary theory of behavior dynamics to severe challenging behavior.

Louis P Hagopian, John Michael Falligant

Abstract read
In one paragraph

Article in Journal of applied behavior analysis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Louis P HagopianDepartment of Behavioral Psychology, Kennedy Krieger Institute, Baltimore, MD, USA.
John Michael FalligantDepartment of Behavioral Psychology, Kennedy Krieger Institute, Baltimore, MD, USA.

Funding

Sleep and Circadian Dysfunction, Brain and Neurobehavioral Development in AutismP50HD103538 · NICHD · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Stewart H Mostofsky · 2020 to 2026
$9.9M
Delineating Subtypes of Self-Injurious Behavior Maintained by Automatic ReinforceR01HD076653 · NICHD · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI HAGOPIAN, LOUIS P. · 2013 to 2024
$3.2M
NICHD NIH HHS P50 HD103538NICHD NIH HHS R01 HD076653
6 · The paper itself

Abstract

The evolutionary theory of behavior dynamics (ETBD) is a genetic algorithm that applies the Darwinian principles of evolutionary biology to model how behavior changes dynamically via selection by contingencies of reinforcement. The ETBD is a complexity theory where low-level rules of selection, reproduction, and mutation operate iteratively to animate "artificial organisms" that generate emergent outcomes. Numerous studies have demonstrated the ETBD can accurately model behavior of live animals in the laboratory, and it has been applied recently to model automatically maintained self-injury. The purpose of the current series of studies was to further extend the application of the ETBD to model additional functional classes of challenging behavior and clinical procedures. Outcomes obtained with artificial organisms generally corresponded well with outcomes observed with clinical cases sourced from consecutive controlled case series studies. Conceptual and methodological considerations on the application of the ETBD to model challenging behavior are discussed.

Indexed as

Biological EvolutionAdolescentAlgorithmsAnimalsChildFemaleHumansMaleModels, PsychologicalProblem BehaviorPsychological TheoryReinforcement, Psychologycomplexity theorydeterminismevolutionary theory of behavior dynamicsselectionismsevere behavior

Identifiers

PMID37614037
PMCPMC10591871

What OpenQuestion holds

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Registered trials

None linked

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.