Key result
Novel Response Repertoire Index is not associated with autonomic excursion in healthy adults.
Why the study?
Standard heart rate variability metrics capture how far the autonomic system moves between states (excursion) but not in how many independent directions it moves (dimensionality). This framework paper connects the Response Repertoire Index (RRI-D) to resilience research and positions it as a candidate marker of regulatory latitude.
This theoretical and simulation framework introduces the Response Repertoire Index (RRI-D) to quantify the dimensionality of autonomic heart rate variability responses across multiple states independently of response amplitude, providing power calculations and falsifiable hypotheses for future longitudinal resilience studies.
Establishes preliminary RRI-D norms in healthy adults; leaves open its value as autonomic marker pending validation studies.
Standard heart rate variability (HRV) metrics capture how far the autonomic system moves between states (excursion) but not in how many independent directions it moves (dimensionality). The Response Repertoire Index (RRI-D) quantifies dimensionality as a Hill number of order 2 of the eigenvalue spectrum of four HRV features measured across standardized states; a preregistered test in 41 healthy adults found it computable, acceptably reliable at group level and unrelated to excursion. This framework paper connects the construct to resilience research, where resilience is understood as a process of adaptation, and positions RRI-D as a candidate marker of regulatory latitude, not as a resilience measure. It states three falsifiable hypotheses: (H1) under sustained load RRI-D declines while resting RMSSD stays practically unchanged, a possible counterpart of critical slowing down; (H2) interventions acting on amplitude and interventions acting on multi-state regulation dissociate on excursion versus RRI-D; (H3) autonomic dimensionality and a psychological repertoire index (RRI-R) relate to strain and recovery in additive, multiplicative or threshold form. Simulations of the registered algorithm show that RRI-D orders true dimensionality at group level, that measurement noise inflates it at low excursion, and that the observed near-zero correlation with excursion is what independence plus noise predicts. They also give sample sizes: 36 persons with five sessions detect a within-person decline of 0.1 units with 84% power, whereas distinguishing the H3 models needs 200 to 400 persons. We propose a minimal multi-state protocol for data sharing. RRI-D is not validated for individual use, and no clinical or efficacy claim is made.
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Daniel Andreas Borschel (2026) studied Healthy adults (autonomic response dimensionality across standardized states) (n=41). Response Repertoire Index (RRI-D v1) across five standardized physiological states vs. Autonomic excursion (E) and resting ln RMSSD was evaluated on Correlation between Response Repertoire Index dimensionality (RRI-D) and autonomic excursion (E) (rho -0.09, 95% CI -0.37 to 0.20). The Response Repertoire Index (RRI-D) had a median of 1.59 (IQR 1.42-1.80) in 41 healthy adults and was unrelated to autonomic excursion (rho = -0.09, 95% CI -0.37 to 0.20).
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