Stotland, Mitchell A.

Background: This study considers observers’ reflexive responses to the rejuvenated face, and how instinctive responses relate to subjective judgment. We investigated observers’ reflexive perception of faces both pre and post surgical intervention during the early stages of visual processing. Subjective character attribution for all test images was also assessed by the same observers. Method: Forty frontal facial images of 20 patients portraying the pre- and postoperative high superficial musculoaponeurotic system facelift along with variable concomitant procedures were studied. Nineteen lookzone regions were mapped post hoc onto each image. Forty observers examined the images, whereas an eye-tracking camera recorded their eye movements. Visual fixation data were recorded and analyzed. Observers also rated each image on the basis of five elemental positive character attributes. Results: A statistically coherent but nonsignificant (P > 0.05) trend was identified with the surgical intervention resulting in greater attention being paid to the central triangle region of the face with reduction in attention to the facial periphery. Facial rejuvenation significantly increased the subjective character ratings of all five positively valenced attributes tested. Average age estimate of the photos decreased significantly from 54 to 48.6 years (true average age of 57.4 years). Conclusions: We provide data illustrating both reflexive and subjective responses to facial rejuvenation. Observers reported a more favorable impression of the treated faces and evaluated them as being younger than their true age. A trend was detected for increased visual fixation of the central facial region following rejuvenation. Interpretation of these findings and indication for further research is provided.

Background: The perceptual response to aging changes in the periorbital region and the effects of surgical rejuvenation on that response have not been elucidated. The authors examined the reflexive visual response to periorbital aging before and after brow lift and upper blepharoplasty surgery and investigated how observers’ character attributions of the images were affected by the rejuvenative intervention. Methods: Preoperative and postoperative photographs were obtained of patients with brow ptosis and dermatochalasis who underwent brow lift and blepharoplasty. Forty observers examined each image while an infrared eye-tracking camera continuously recorded their eye movements. The observers rated the images with respect to character attributes (attractiveness, trustworthiness, sociability, healthiness, and capability) on a scale of one to seven. Results: Fourteen patients who underwent brow lift and blepharoplasty were identified and studied. The surgical intervention was found to increase observers’ attention to the eye and brow region, while decreasing relative attention to the forehead and lower eyelid areas; increase the two-dimensional surface area of the forehead and eye and brow zones in a manner directly associated with the measured changes in visual attention; and significantly increase the ratings for all five positively valanced character attributes compared with preoperative controls. Conclusions: The authors provide an important combination of explicit and implicit data illustrating how surgical rejuvenation unveils the periorbital region to the observer. This change in pattern of inspection was associated with an improvement in the perception of character.

Abstract Facial paralysis can impair one'™s ability to form facial expressions that are congruent with internal emotion. This hinders communication and the cognitive processing of emotional experience. Facial reanimation surgery, which aims to restore full facial expressivity is a relatively recent undertaking which is still evolving. Due in large part to published techniques, refinements, and clinical outcomes in the scientific literature, consensus on best practice is gradually emerging, whereas controversies still exist. Taking stock of how the discipline reached its current state can help delineate areas of agreement and debate, and more clearly reveal a path forward. To do this, the authors have analyzed the 50 seminal publications pertaining to facial reanimation surgery. In longstanding cases, the free gracilis transfer emerges as a clear muscle of choice but the nerve selection remains controversial with prevailing philosophies advocating cross facial nerve grafts (with or without the support of an ipsilateral motor donor) or an ipsilateral motor donor only, of which the hypoglossal and nerve to masseter predominate. The alternative orthodoxy has refined the approach popularized by Gillies in 1934 and does not require the deployment of microsurgical principles. Although this citation analysis does not tell the whole story, surgeons with an interest in facial reanimation will find that this is a good place to start.

Purpose: The availability of an objective outcome measure for facial reconstructive surgery remains elusive. Evaluations submitted by external raters or by patient self-report are subjective, and may unreliably convey how one is perceived by others. We are interested in observers’ instantaneous responses to the human face. The goal of modern facelift and associated procedures for facial rejuvenation are to achieved subtle differences that lead to the perception of youth and attractiveness, yet the observer cannot pinpoint what exactly have been done to the patient’s face. We explored the visual markers that lead to differential perception of patients before and after facial rejuvenation surgery (high SMAS facelift, neck lift, fat grafting, brow lifts and blepharoplasty). Methods: 40 images were obtained which portrayed pre and post operative photos of patients who underwent high SMAS facelift, fat grafting, and browlifts and blepharoplasty for facial rejuvenation. Photographs were obtained before and after surgical correction (>3 months postop). 40 observers examined the images while an infrared eye-tracking camera recorded their eye movements. The observers were then asked to rate the image for character attributes (attractiveness, trustworthiness, sociability, healthy, and capability, 1-7 scale, and also estimate the age of the patient). Results: (i) The surgical intervention was found to decrease observers’ attention to the cervical region, but did not change how other areas are perceived significantly.(ii) The surgical intervention was found to significantly increase the character ratings for all five attributes compared to pre op controls: (sociable 3.53 to 4.18, trustworthy 3.85 to 4.20, attractive 3.34 to 3.3.90, health 4.07 to 4.61, capable 3.91 to 4.43.(iii) Average age estimate of the photos decreased significantly from 54 years (SD 6) to 48.6 years (SD 5.2), with true average age of 57.4 (7.6). Conclusion: We provide data illustrating a novel and objective technique to evaluate the effect of reconstructive intervention for facial rejuvenation. Consistent with the goals of subtle facial rejuvenation, the observers did not detect any particular areas of difference post operatively, but gain a more favorable impression of the person, and also perceived them as younger by a decade compared to their true age.

Summary: Social interactions are largely dependent on the interpretation of information conveyed through facial expressions. Although facial reanimation seeks restoration of the facial expression of emotion, outcome measures have not addressed this directly. This study evaluates the use of a machine learning technology to directly measure facial expression before and after facial reanimation surgery. Fifteen study subjects with facial palsy were evaluated both before and after undergoing cross-facial nerve grafting and free gracilis muscle transfer. Eight healthy volunteers were assessed for control comparison. Video footage of subjects with their face in repose and with a posed, closed-lip smile was obtained. The video data were then analyzed using the Noldus FaceReader software application to measure the relative proportions of seven cardinal facial expressions detected within each clip. The facial expression recognition application detected a far greater happy signal in postoperative (42 percent) versus preoperative (13 percent) smile videos (p < 0.0001), compared to 53 percent in videos of control faces smiling. This increase in postoperative happy signal was achieved in exchange for a reduction in the sad signal (15 percent to 9 percent; p = 0.092) and the neutral signal (57 percent to 37 percent; p = 0.0012). For video clips of patients in repose, no significant difference in happy emotion was detected between preoperative (3.1 percent) and postoperative (1.4 percent) states (p = 0.5). This study provides the first proof of concept for the use of a machine learning software application to objectively quantify facial expression before and after surgical reanimation. CLINICAL QUESTION/LEVEL OF EVIDENCE: Diagnostic, IV.