We appreciate the thoughtful Correspondence by Fernández-Teruel and Estanislau on our Review (Neurobiology of rodent self-grooming and its value for translational neuroscience. Nat. Rev. Neurosci. 17, 45–59 (2016))1, which raises the issue of the relationship between stress and self-grooming (Meanings of self-grooming depend on an inverted U-shaped function with aversiveness. Nat. Rev. Neurosci. http://dx.doi.org/10.1038/nrn.2016.102 (2016))2. We agree that the effect of stress on self-grooming can often be described as an inverted U-shaped function: self-grooming typically occurs spontaneously at low arousal (as a maintenance behaviour), becomes longer (and may alter in pattern) during moderate arousal (as a 'displacement activity') and can be inhibited by high-stress states that elicit freezing, fight or flight responses1,2,3,4.

However, despite the usefulness of this view, caution is needed because the relationship between stress and self-grooming can be more complex, and self-grooming duration measures in relatively mild stress (the main behavioural measures and situations discussed in the Correspondence2) alone may be insufficient for adequate neurobehavioural analyses of rodent self-grooming1,3,4. For example, high-frequency, short bouts of self-grooming can yield a cumulative duration that is similar to that of fewer, longer bouts of such behaviour. Moreover, rats that exhibit different self-grooming durations may show no differences in anxiety-related behavioural or neuroendocrine parameters5. In addition, as self-grooming frequency (the rate of initiation) and bout length (execution) under stress probably have differential neural underpinnings, these aspects of self-grooming may differentially change during stress (Box 1). Even when different groups of rodents show similar times spent self-grooming under conditions of stress, they may exhibit altered self-grooming body targets (that is, rostral face versus caudal body and tail regions)1. Indeed, mounting evidence suggests that the behavioural microstructure of rodent self-grooming may serve as a sensitive marker of stress levels1 (Box 1). Therefore, a more detailed measure of self-grooming behaviour — incorporating the average bout duration, the transitions between stages, the number of interrupted or incomplete bouts and other ethologically derived parameters1 — can help to provide significant insights into the nature of self-grooming phenotypes under different levels of stress or arousal.

It may also be important to recognize that low–moderate–high arousal and self-grooming continuums in various behavioural contexts may not 'flow' as tightly as can be assumed3,4. For example, self-grooming bouts can occur immediately in anticipation of, or right after, exposure to a stressful stimulus (for example, self-grooming in voles occurs first after predator fright, before locomotion3,4; Box 1). Thus, this raises the possibility of rethinking the acute stress response in rodents as 'freeze, fight, flight and groom'. Namely, self-grooming evoked by high-stress situations may differ considerably — both behaviourally and mechanistically — from low-arousal 'comfort' and moderate-arousal (for example, novelty-evoked) self-grooming1. Moreover, although high-stress self-grooming is often associated behaviourally with freezing, fight or flight2 (Box 1), it is currently unclear whether all of these behaviours are mediated by shared 'high-stress' neural circuits or compete with each other and with self-grooming for circuitry and motor movements.

In summary, we agree that stress modulates rodent self-grooming behaviour in ways that often follow an inverted-U relation2, but we also note that this crucial relationship may be more complicated. Given the emerging relevance of self-grooming in the modelling of various affective brain disorders, the analysis of this important relationship will benefit from focusing on multiple (rather than single) self-grooming behavioural measures, an appreciation of a wider spectrum of specific biological contexts in which self-grooming occurs and an in-depth analysis of its underlying neural circuitry1.