Obstructive sleep apnea (OSA) is a common disease with important neurocognitive and cardiovascular sequelae. Existing therapies are unsatisfactory, leading investigators to seek alternative forms of anatomic manipulation to influence pharyngeal mechanics. We have developed a two-dimensional computational model of the normal human upper airway based on signal averaging of MRI. Using the finite element method, we can perform various anatomic perturbations on the structure in order to assess the impact of these manipulations on pharyngeal mechanics and collapse. By design, the normal sleeping upper airway model collapses at −13 cm H 2 O. This closing pressure becomes more negative (ie, less collapsible) when we perform mandibular advancement (−21 cm H 2 O), palatal resection (−18 cm H 2 O), or palatal stiffening (−17 cm H 2 O). Where clinical data are available in the literature, the results of our model correspond reasonably well. Furthermore, our model provides information regarding the site of obstruction and provides hypotheses for clinical studies that can be undertaken in the future (eg, combination therapies). We believe that, in the future, finite element modeling will provide a useful tool to help advance our understanding of OSA and its response to various therapies. Keywords breathing; computational model; lung; MRI; obstructive sleep apnea; pharyngeal collapse Obstructive sleep apnea (OSA) is an important disorder due to both its high prevalence and its well-established sequelae. 1,2 Although effective therapies exist for sleep apnea, [3][4][5][6] investigators continue to seek alternative methods to manipulate pharyngeal mechanics/ anatomy with the ultimate goal of improving currently available therapeutic modalities. [3][4][5][6][7][8] Various different methods of manipulating pharyngeal mechanics have been used to treat snoring in individuals with largely normal upper airway anatomy and to treat sleep apnea in those with a compromised pharyngeal lumen. These methods include weight loss, oral appliances, and upper airway surgery. 9-11 However, these techniques have also been problematic due to variable efficacy and minimal ability to predict therapeutic response. A number of investigators have attempted to determine which patients are most likely to respond to treatment, but without great success. [12][13][14][15][16] We believe that improvements in our Our group has been involved in the development of a computational model to better understand the behavior of the human upper airway. 17 We have used finite element analysis, which is a mathematical technique to quantitatively analyze the behavior of a given mechanical structure. We have previously published our two-dimensional model that uses anatomically correct structure from MRI of normal human subjects. 17 With this model, we have used the critical closing pressure (Pcrit) as our outcome measure to assess the collapsibility of the upper airway. 18 Using finite element analysis, we sought to determine the impact of mandibular advancement, pa...