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

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.

A replication and extension of the augmented competing stimulus assessment.

Augmenting competing stimulus assessments by embedding tactics to increase stimulus engagement and disrupt challenging behavior can improve outcomes of treatments for automatically maintained self-injurious behavior, even for treatment-resistant subtypes. This study replicated and extended research on augmented competing stimulus assessments by reporting outcomes for 16 consecutively encountered cases with automatically maintained self-injurious behavior (19 total applications); six participants had treatment-responsive Subtype 1 and 10 had treatment-resistant Subtypes 2 or 3. Fewer high-competition stimuli were identified for individuals with treatment-resistant subtypes. When response-promotion and disruption tactics were applied and withdrawn, outcomes improved for six of eight applications. At least one high-competition stimulus was still effective when maintenance probes were conducted for a subset of participants. Ultimately, at least one high-competition stimulus was identified for each participant. Although augmenting tactics may not be necessary for all individuals, these findings provide additional support for their efficacy with treatment-resistant self-injurious behavior.

Simplified methods for identifying subtypes of automatically maintained self-injury.

Subtypes of automatically maintained self-injurious behavior (SIB) have been defined based on response patterns observed during the functional analysis, which are thought to reflect each subtype's distinct mechanisms. Current practice for identifying subtypes involves using structured criteria to identify whether SIB is automatically maintained, followed by the application of additional criteria to identify the subtype. We describe a series of studies directed at simplifying these methods to facilitate wider application of the subtyping model in research and practice. In Studies 1 and 2, we demonstrate the accuracy of modified criteria using the level of differentiation of SIB across the play and no-interaction conditions at distinguishing between two subtypes (i.e., Subtypes 1 and 2). We then demonstrate visual analysis (without structured criteria) can accurately identify SIB as automatically maintained in Study 3, which can be used in combination with level of differentiation to enable application of the subtyping model in practice.

Efficacy of competing stimulus assessments: A summary of 35 consecutively encountered cases.

Competing stimulus assessments (CSAs) are designed to identify stimuli that reduce challenging behavior through competition with its maintaining reinforcers. Recently, Haddock and Hagopian (2020) found that over 92% of CSAs described in published studies identified at least one high-competition stimulus (i.e., a stimulus correlated with at least an 80% reduction in challenging behavior). The current study describes the outcomes of CSAs in a retrospective consecutive controlled case series study of 35 cases (individuals) admitted to an inpatient setting. Findings on the limited relation between the level of stimulus engagement and reductions in challenging behavior were replicated; however, the efficacy of CSAs was lower (only 47% of CSAs were successful in identifying one or more high-competition stimuli). Discrepant findings across studies on the efficacy of CSAs are discussed in terms of differences in the sample participants and how outcomes are reported, which vary depending on the study's research questions.

Modeling and quantifying resurgence in the Evolutionary Theory of Behavior Dynamics.

McDowell's Evolutionary Theory of Behavior Dynamics (ETBD) has been shown to model a wide range of live organism behavior with excellent descriptive accuracy. Recently, artificial organisms (AOs) animated by the ETBD were shown to replicate the resurgence of a target response following downshifts in the density of reinforcement for an alternative response and across repeated iterations of the traditional three-phase resurgence paradigm in a manner commensurate with nonhuman subjects. In the current investigation, we successfully replicated an additional study that used this traditional three-phase resurgence paradigm with human participants. We fitted two models based on the Resurgence as Choice (RaC) theory to the data generated by the AOs. Because the models had varying numbers of free parameters, we used an information-theoretic approach to compare the models against one another. We found that a version of the Resurgence as Choice in Context model that incorporates aspects of Davison and colleague's Contingency Discriminability Model provided the best description of the resurgence data emitted by the AOs when accounting for the models' complexity. Last, we discuss considerations when developing and testing new quantitative models of resurgence that account for the ever-growing literature of resurgence.

A Neurobehavioral Continuum of Care for Individuals with Intellectual and Developmental Disabilities with Severe Problem Behavior.

The Neurobehavioral Programs at Kennedy Krieger Institute constitute a comprehensive continuum of care designed to serve individuals with intellectual and developmental disabilities with co-occurring problem behavior. This continuum includes inpatient, intensive outpatient, outpatient, consultation, and follow-up services. The mission of these programs is to fully integrate patient care, research, training, and advocacy to achieve the best possible outcomes with patients, and to benefit the broader community of individuals with severe behavioral dysfunction. The primary treatment approach utilized across all programs is applied behavior analysis, however the inpatient unit also provides fully integrated interdisciplinary care. Factors driving the development and expansion of these programs are described, as are the processes and systems by which the mission objectives are achieved.

Examining resurgence and repetition with the evolutionary theory of behavior dynamics.

Recently, Redner et al. (2022) examined the nature of resurgence across repeated iterations of the traditional three-phase resurgence procedure with four pigeons. Although extant research findings in this area are mixed, Redner et al. found that resurgence generally increased in magnitude with repetition. These findings provide a baseline against which future research examining resurgence using this three-phase procedure can be compared and contrasted. The purpose of the present investigation was to examine resurgence via concurrent schedule arrangements similar to those described by Redner et al. with 30 artificial organisms (AOs) animated by the Evolutionary Theory of Behavior Dynamics (McDowell, 2004). We quantified the prevalence of resurgence across iterations and found that resurgence occurred in 86.7 % (156 of 180) iterations across all 30 AOs. This is strikingly similar to the resurgence prevalence estimates of 87.5 % reported by both Redner et al. (2022). However, we also found that the magnitude of target responding generally did not change significantly with repetition. This finding is inconsistent with Redner et al. but is consistent with the predictions of prominent quantitative models of behavioral persistence and a number of relevant studies (Volkert et al., 2009; Gratz et al., 2019). We also conducted exploratory analyses to examine how several variables (e.g., sensitivity to reinforcement, reinforcer magnitude, number of sessions of exposure to various phases) affect the prevalence and magnitude of resurgence among AOs.

Quantifying increases in problem behavior following downshifts in reinforcement: A retrospective analysis and replication.

The recurrence of a previously eliminated or reduced behavior following a downshift in alternative reinforcement is referred to as resurgence. Resurgence as Choice (RaC) is a quantitative model of behavioral persistence that posits that resurgence is governed by the same behavioral principles that underlie choice behavior. Consistent with the predictions of RaC, extant basic research with animals indicates that resurgence increases as an exponential function of the size of the downshift in alternative reinforcement. Recently, Shahan and Greer (2021) extended this finding to resurgence of problem behavior during schedule thinning following functional communication training (FCT). They found that when resurgence occurred, it increased exponentially as a function of relative decrements in reinforcer availability during schedule thinning with compound schedules of reinforcement. The purpose of the current study was to directly replicate the analytic procedures described in Shahan and Greer to examine resurgence of problem behavior during schedule thinning following FCT using two novel clinical datasets. Our results closely replicate the findings from Shahan and Greer, providing additional support for the generality of resurgence during downshifts in alternative reinforcement in clinical contexts. These results also highlight the potential applicability of RaC for modeling resurgence of problem behavior during FCT schedule thinning.

Further Analysis of Advanced Quantitative Methods and Supplemental Interpretative Aids with Single-Case Experimental Designs.

Reliable and accurate visual analysis of graphically depicted behavioral data acquired using single-case experimental designs (SCEDs) is integral to behavior-analytic research and practice. Researchers have developed a range of techniques to increase reliable and objective visual inspection of SCED data including visual interpretive guides, statistical techniques, and nonstatistical quantitative methods to objectify the visual-analytic interpretation of data to guide clinicians, and ensure a replicable data interpretation process in research. These structured data analytic practices are now more frequently used by behavior analysts and the subject of considerable research within the field of quantitative methods and behavior analysis. First, there are contemporaneous analytic methods that have preliminary support with simulated datasets, but have not been thoroughly examined with nonsimulated clinical datasets. There are a number of relatively new techniques that have preliminary support (e.g., fail-safe k), but require additional research. Other analytic methods (e.g., dual-criteria and conservative dual criteria) have more extensive support, but have infrequently been compared against other analytic methods. Across three studies, we examine how these methods corresponded to clinical outcomes (and one another) for the purpose of replicating and extending extant literature in this area. Implications and recommendations for practitioners and researchers are discussed.

Modeling resurgence with an evolutionary theory of behavior dynamics.

McDowell's (2004) Evolutionary Theory of Behavior Dynamics (ETBD) is a computational theory that has reproduced a wide variety of behavioral phenomena observed in material reality. Here, we extended the generality of the ETBD by successfully replicating laboratory studies of resurgence with live animals using artificial organisms (AOs) animated by the theory. We ran AOs on concurrent random-interval random-interval (conc RI RI) schedules of reinforcement wherein one alternative (i.e., a target behavior) was reinforced while the other alternative (i.e., an alternative behavior) was not reinforced. Then, we placed the target behavior on extinction and reinforced the alternative response, producing a shift in allocation of responding from the target behavior to the alternative response. Finally, schedule thinning of the alternative response (i.e., downshifts) resulted in resurgence of target behavior. Our findings indicated that resurgence increased as a function of the relative downshift in reinforcement rate and magnitude, replicating findings from previous studies with live animals. These results further illustrate the utility of the ETBD for generating dynamic behavioral data and serve as a proof-of-concept for a novel computational approach for studying and understanding resurgence in future studies.

Analysis of unexpected disruptive effects of contingent food reinforcement on automatically maintained self-injury.

Research has identified treatment-responsive and treatment-resistant subtypes of automatically maintained self-injurious behavior (ASIB) based on patterns of responding in the functional analysis (FA) reflecting its sensitivity to disruption by alternative reinforcement, and the presence of self-restraint. Rooker et al. (2019) unexpectedly observed reductions in treatment-resistant self-injury while participants performed an operant task. The current study further examined this in nine participants with treatment-resistant ASIB in an example of discovery-based research. An operant task engendering high rates of responding (switch-pressing) to produce food, reduced self-injury across all participants, and eliminated self-injury for some participants under certain schedules. Although this finding must be replicated and evaluated over longer time periods, it provides some evidence that alternative reinforcement can disrupt self-injury in these treatment-resistant subtypes under some conditions. Reinforcer and response competition are discussed as possible mechanisms underlying these disruptive effects, as are the potential implications of these findings regarding treatment.

Decreasing motor stereotypy with competing stimuli and tasks: Analysis of prompted engagement and response blocking.

Competing stimulus assessments (CSAs) are used to empirically identify stimuli associated with low levels of problem behavior. For some individuals with automatically maintained behavior, it can be difficult to identify effective competing stimuli. Recent research shows that prompting engagement and response blocking can be employed during the CSA to obtain significant reductions in problem behavior. The purpose of the present study was to replicate and extend prior research on the use of these tactics not only with competing stimuli, but also competing tasks, which require the active completion of a discrete response or response sequence. In addition, the current study validated the results of these pretreatment assessments in an extended treatment analysis, and examined the isolated and combined effects of prompting and response blocking within a component analysis. Future research directions and implications for clinical practice are discussed.

Competing stimulus assessments: A systematic review.

The current review summarizes the literature on competing stimulus assessments (CSAs). CSAs are pretreatment assessments designed to systematically identify stimuli that reduce problem behavior (PB), ostensibly through reinforcer competition or substitution. We report on the participant characteristics, outcomes, and predictive validity of published CSAs that included (a) no-stimulus control trial(s), (b) test trials during which each stimulus was available singly and noncontingently, and (c) measurement of PB and stimulus engagement or contact. Results showed that CSAs have broad utility across a variety of topographies and functions of PB. In the majority of CSA applications for which extended analyses, or validations, were performed, stimuli shown to reduce PB during the CSA produced similar reductions during extended analysis. This was the case regardless of topography or function of PB, or whether the stimuli were assumed to be "matched" to the stimulation thought to be produced by PB. Implications for future research are discussed.

Further extensions of precision medicine to behavior analysis: A demonstration using functional communication training.

The potential applicability of concepts and methods of the paradigm of precision medicine to the field of applied behavior analysis is only beginning to be explored. Both precision medicine and applied behavior analysis seek to understand and classify clinical problems through identification of their causal pathways. Both aim to develop treatments directly targeting those causal pathways, which also requires an understanding of the mechanisms by which treatments produce change (treatment-action pathways). In the current study, we extend the data-analytic methods and concepts described by Hagopian et al. (2018) toward the identification of variables that predict response to functional communication training (FCT). We discuss emerging conceptual issues, including the importance of distinguishing predictive behavioral markers from predictor variables based on their purported involvement in the causal or treatment-action pathways. Making these discriminations is a complex undertaking that requires knowledge of these mechanisms and how they interact.

Initial outcomes of an augmented competing stimulus assessment.

Competing stimulus assessments (CSAs) are designed to identify stimuli that, when made freely available, reduce problem behavior. Although CSAs have demonstrated utility, identifying competing stimuli can be difficult for some individuals. The current study describes outcomes from an augmented CSA (A-CSA) for 6 consecutively encountered cases with treatment-resistant subtypes of automatically maintained problem behavior. When test stimuli were made freely available, only between 0 and 1 effective competing stimuli were identified for each case. Prompting and response blocking were temporarily employed in succession to promote engagement with stimuli and disrupt problem behavior. When those procedures were withdrawn and stimuli made freely available, the number of effective competing stimuli increased in all 6 cases. Findings suggest that procedures designed to promote engagement and disrupt problem behavior may allow the A-CSA to be a platform not only for identifying competing stimuli, but also for actively establishing competing stimuli.

Behavioral Approaches to Assessment and Early Intervention for Severe Problem Behavior in Intellectual and Developmental Disabilities.

This article summarizes the literature on prevalence and establishment of severe problem behavior in individuals with intellectual and developmental disabilities, empirical support for applied behavior analysis, and evidence-based behavioral assessment and treatment procedures. Early intervention and prevention approaches and the role of the pediatrician with regard to surveillance, early intervention, and coordination of care are discussed.

Rules and Statements of Reinforcer Loss in Differential Reinforcement of Other Behavior.

Providing a rule regarding consequences for behavior can increase the efficacy of differential reinforcement of other behavior (DRO) procedures in the treatment of severe problem behavior (Watts, Wilder, Gregory, Leon, and Ditzian, Journal of Applied Behavior Analysis, 46, 680-684, 2013). The purpose of the current study was to replicate and extend the literature on DRO procedures by evaluating the efficacy of rules and statements of reinforcer loss (SRL) in the treatment of severe problem behavior. Conditions included baseline, no rule DRO, rule DRO, and rule DRO with SRL. For 2 of 3 participants, neither the no rule DRO nor the rule DRO condition reduced problem behavior. The rule DRO with SRL condition produced a substantial decrease in problem behavior for all participants, suggesting that a consequent rule enhances the efficacy of DRO. The current study extends the literature on DRO procedures by providing data on nontargeted ("other") behavior. An increase in other behavior was observed for 2 participants.

The consecutive controlled case series: Design, data-analytics, and reporting methods supporting the study of generality.

Single-case experimental designs (SCEDs) have proven invaluable in research and practice because they are optimal for asking many experimental questions relevant to the analysis of behavior. The consecutive controlled case series (CCCS) is a type of study in which a SCED is employed in a series of consecutively encountered cases that undergo a common procedure or share a common characteristic. Additional design elements, data-analytic, and reporting methods enable researchers to ask experimental questions relevant to the study of generality of procedures and processes. The current paper discusses the CCCS methodologies, including the retrospective, prospective, and randomized CCCS. These methodologies can be applied to examine the generality of clinical procedures (including their general efficacy, the limits of their generality, and variables that may mediate generality); study the epidemiology and phenomenology of clinical problems; and compare the efficacy of 2 clinical procedures within a randomized controlled trial combining SCEDs with randomized group designs.

Injury characteristics across functional classes of self-injurious behavior.

Self-injurious behavior (SIB) is inherently problematic because it can lead to injuries, including those that are quite severe and may result in loss of function or permanent disfigurement. The current study replicated and extended Rooker et al. (2018) by classifying the physical characteristics of injuries across groups of individuals with automatically maintained SIB (ASIB Subtypes 2 and 3) and socially maintained SIB. Individuals with Subtype 2 ASIB had the most frequent and severe injuries. Further, an inverse relation was found between the level of differentiation in the functional analysis and the number of injuries across groups. Studying the response products of SIB (the injuries) documents the risks associated with SIB, justifies the need for research and the intensive intervention, and advances knowledge of SIB. Additional research is needed to replicate these findings, and determine the variables that produce different characteristics of injury secondary to SIB.

Sensitivity to Changing Environmental Conditions across Individuals with Subtype 2 Automatically Reinforced and Socially Reinforced Self-injury.

Automatically reinforced Subtype 2 self-injurious behavior (ASIB) has been characterized as showing insensitivity to competing reinforcement contingencies in the contexts of both functional analyses and in treatment using reinforcement alone (Hagopian, Rooker, &Yenokyan, 2018). One question is whether this insensitivity is specific to Subtype 2 ASIB as response class in these contexts or whether it is represents a generalized response tendency of the individual that is evident across other response classes. To examine this question, we compared responding on a single-operant task under changing reinforcement schedules for three individuals with Subtype 2 ASIB, relative to a comparison group of three individuals with socially reinforced SIB (which is characterized by sensitivity to changes in reinforcement contingencies). As hypothesized, all individuals showed sensitivity to changes in contingencies. These results provide preliminary support that the insensitivity of Subtype 2 ASIB is a property specific to that response class in these contexts rather than a generalized response tendency of the individual.