The effect of crash pulse variations is studied for new injury criteria. Mathematical tools can enable better interpretation of occupant injury criteria. Where crash tests by themselves may be limited or too time consuming and costly, math models can complement the testing and add value to the overall interpretation. Once injury in a crash test scenario is better interpreted, prevention of injury level can be further studied. In particular, this is the case for new and more complex injury criteria that are being considered in crash safety as of the last decade. In addition to the Head Injury Criterion (HIC) that has been well-known in the automotive industry for several decades, the new and far less well-known Brain Injury Criterion (BrIC) has recently been introduced in research and is likely be adopted in NHTSA’s New NCAP in the coming years. Where the HIC is a measure for the linear accelerations of the head, the BrIC represents rotational accelerations of the brain inside the head. Since quantifications of BrIC values are relatively new, crash safety engineers will have to familiarize themselves with the BrIC concept and its sensitivity to vehicle acceleration pulses as a combination of linear acceleration as well as rotational acceleration. Mathematical dynamic modeling tools are very well suited to evaluate the resulting BrIC values as a response to variations in vehicle crash pulses. An FE/multi-body dynamics baseline model, representative of crash tests such as an Offset Oblique Impact crash scenario with a THOR dummy, has been used to study the effect of pulse variations to the BrIC results by using scaling of linear and rotational accelerations. Major contributors or combinations of most influential contributing factors will be identified in the study, in order to create initial understanding and make sense of this new BrIC injury criterion which will play a major role in future crash test evaluations as per expected upcoming rulemaking.