upper limb, lower limb, kinesthesia, language, and other specific neurological functions will be necessary to understand how the brain and the patient recover. While function is the principle pragmatic outcome, some combination of adaptation, rehabilitation, and true recovery of function will likely occur; each component may respond to specific intervention(s). This can and should be modeled. Similarly, stroke prevention models are lacking for many types of ischemic stroke. Stroke suffers from causal multiplicity. While much has been learned about atherosclerosis spurred by research on the coronary circulation, the causes of cervical artery dissection, some types of cardioembolism, and lacunar stroke are poorly understood. Modeling stroke prevention by specific cause of stroke is needed.Finally, in all types of models, and particularly in the confirmative concept of translational research, there is a growing awareness of the need to emulate strong clinical data methods. Double-blind, randomized trials in animal models must be used and powered appropriately to detect key clinical outcomes. Such trials can be multicenter. The impact of big data and open science can help stroke research if we embrace the concepts of widely sharing data and techniques, using public data deposit with standardized data definitions.
Future Solutions and ConclusionsSuccess of future translational stroke research will not only critically depend on focusing on the most appropriate end points but also on addressing the right patient population. There is a need to think circularly not only from bench to bedside but also from bedside to bench. Confirmative preclinical stroke trials should be designed toward the patient population most likely to be seen in the subsequent clinical trial. Clinical stroke trials must recruit patients who match the characteristics of experimental subjects in the preclinical stroke trial it is based on and only later expand to broader population. When the preclinical and clinical stroke research is consistent, translational success will follow.
Disclosures