Electroencephalographic correlates of temporally spaced responding and avoidance behavior.

Scientists wired rabbits to an EEG while they pressed a lever.

The rabbits worked on two schedules: DRL 20 s (wait 20 s between presses) and shock avoidance (press to stop shocks).

The team gave amphetamine to see if the drug changed the brain waves tied to each schedule.

The rabbits pressed at very different speeds on DRL versus avoidance, but their EEG pictures looked the same.

Amphetamine messed up the slow DRL performance, yet it only shifted overall brain arousal; it did not create schedule-specific EEG marks.

Brain waves tracked how alert the animal was, not which schedule was running.

Zhou et al. (2018) later showed that full-session DRL alone cuts severe problem behavior in kids with ID/DD. Their work proves the schedule still matters for behavior, even if EEG stays flat.

LeFrancois et al. (1993) found that rats’ response rates echoed only the schedule that came right before testing. Like ROSS et al. (1962), they show that past contingencies shape behavior more than they shape underlying brain state.

Rieth et al. (2022) looked at autistic children doing executive-function training. EEG change in that study did predict behavior change, seeming to clash with the rabbit finding. The gap makes sense: R et al. measured long-term learning across weeks, while S et al. watched moment-to-moment schedule control. Different time scales, different EEG stories.

For BCBAs, this means the EEG buzz you see in an assessment probably shows general arousal, not the fine print of the contingency you just programmed. Use behavior data, not brain waves, to judge if your DRL or avoidance intervention is working. If you team up with neuroscientists, push them to look past simple EEG labels and tie changes to real-world behavior over days, not seconds.