Soc Neurosci
a Centre for Child and Family Studies , Leiden University, Leiden , The Netherlands.
Published: August 2018
The current study investigated whether changes in the neural processing of faces of infants with a facial abnormality - a cleft lip - mediate effects of the cleft lip on judgments of infant cuteness and approachability. Event-related potentials (ERPs) in response to pictures of faces of healthy infants and infants with a cleft lip, and ratings of cuteness and approachability of these infant faces, were obtained from 30 females. Infants with a cleft lip were rated as less attractive (less cute and approachable) than healthy infants, and both the N170 and P2 components of the ERP were of reduced amplitude in response to pictures of infants with a cleft lip. Importantly, decreased configural processing of infant faces with a cleft lip, as evidenced by reduced N170 amplitudes, mediated the reduced attractiveness ratings for infants with a cleft lip compared to healthy infants. Our findings help elucidate the mechanisms behind the less favorable responses to infants with a cleft lip, highlighting the role of face-specific rather than domain-general neural processes.
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http://dx.doi.org/10.1080/17470919.2017.1340336 | DOI Listing |
Sci Rep
January 2025
Division of Plastic, Craniofacial and Hand Surgery, Sidra Medicine, and Weill Cornell Medical College, C1-121, Al Gharrafa St, Ar Rayyan, Doha, Qatar.
Training a machine learning system to evaluate any type of facial deformity is impeded by the scarcity of large datasets of high-quality, ethics board-approved patient images. We have built a deep learning-based cleft lip generator called CleftGAN designed to produce an almost unlimited number of high-fidelity facsimiles of cleft lip facial images with wide variation. A transfer learning protocol testing different versions of StyleGAN as the base model was undertaken.
View Article and Find Full Text PDFJ Plast Surg Hand Surg
January 2025
Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden; Department of Oral and Maxillofacial Surgery, Skåne University Hospital, Malmö, Sweden; Department of Orthodontics, Malmö University, Malmö, Sweden.
Pre- and postoperative photos to assess results are widely used in plastic and reconstructive surgery, for instance, in patients with cleft lip and palate (CL/P). Evaluations are often performed by assessment panels by viewing the photos. However, these are prone to be subjective.
View Article and Find Full Text PDFCleft Palate Craniofac J
January 2025
Seattle Children's Hospital, Craniofacial Center, Seattle, WA, USA.
Objective: To investigate whether differences in early cleft care increase risk of velopharyngeal insufficiency (VPI) after maxillary advancement.
Design: Retrospective cohort study.
Setting: Large pediatric tertiary care hospital.
Cureus
December 2024
Obstetrics and Gynecology, Shalamar Medical and Dental College, Lahore, PAK.
Introduction Congenital malformations are a major cause of perinatal morbidity and mortality in developing countries and are assuming greater importance than ever before. They affect a variety of organ systems and various etiologies have been identified in literature including Toxoplasmosis, Other (syphilis, varicella-zoster, parvovirus B19), Rubella, Cytomegalovirus, Herpes Simplex (TORCH) infections, exposure to pollutants, consumption of tobacco and alcohol, and advanced maternal age. In developing countries, diagnosis is frequently delayed which leads to poorer outcomes.
View Article and Find Full Text PDFAim: This study investigated the accuracy of intraoral scanner (IOS) based on different image acquisition technologies in the field of presurgical-orthopedictreatment (PSOT) in neonates with cleft.
Methods: Dental cast models of clinical situations representing unilateral cleft-lip-palate(UCLP), bilateral cleft-lippalate( BCLP) and cleft-palate(CP) with reference PEEK-scanbodies (Cares RC Mono-Scankörper, Straumann, Switzerland) were scanned utilizing four IOS systems: CareStream-CS3600®(CS), Medit-i500®(MD), Cerec-Omnicam®(SO), 3Shape-Trios-3®(TS). One calibrated operator made 5 scans from each model using each IOS (N=60).
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