Methods and Challenges in a Cohort Study of Infants and Toddlers With Craniofacial Microsomia: The Clock Study

Understanding Naturalistic Facial Expressions with Deep Learning and Multimodal Large Language Models

This paper provides a comprehensive overview of affective computing systems for facial expression recognition (FER) research in naturalistic contexts. The first section presents an updated account of user-friendly FER toolboxes incorporating state-of-the-art deep learning models and elaborates on their neural architectures, datasets, and performances across domains. These sophisticated FER toolboxes can robustly address a variety of challenges encountered in the wild such as variations in illumination and head pose, which may otherwise impact recognition accuracy. The second section of this paper discusses multimodal large language models (MLLMs) and their potential applications in affective science. MLLMs exhibit human-level capabilities for FER and enable the quantification of various contextual variables to provide context-aware emotion inferences. These advancements have the potential to revolutionize current methodological approaches for studying the contextual influences on emotions, leading to the development of contextualized emotion models.

Psychosocial and Health-Related Experiences of Individuals With Microtia and Craniofacial Microsomia and Their Families: Narrative Review Over 2 Decades

This paper describes 20 years of microtia and craniofacial microsomia (CFM) psychosocial and healthcare studies and suggests directions for clinical care and research.

A narrative review of papers January 2000 to July 2021 related to psychosocial and healthcare experiences of individuals with microtia and CFM and their families.

Studies (N = 64) were mainly cross-sectional (69%), included a range of standardized measures (64%), and were with European (31%), American (27%), or multinational (23%) samples. Data were generally collected from both patients and caregivers (38%) or patient self-report (35%). Sample sizes were 11 to 25 (21%), 26 to 50 (19%), 51 to 100 (22%), or over 100 (38%). Studies addressed 5 primary topics: (1) Healthcare Experiences, including Medical Care, Hearing Loss/Amplification, Diagnostic Experiences, and Information Preferences; (2) Psychosocial Experiences, including Teasing, Behavioral Adjustment, Psychosocial Support, and Public Perception; (3) Neurocognitive Functioning and Academic Assistance; (4) Pre- and Post-Operative Psychosocial Outcomes of Ear Reconstruction/Canaloplasty; and (5) Quality of Life and Patient Satisfaction.

Care involved multiple specialties and was often experienced as stressful starting at diagnosis. Psychosocial and neurocognitive functioning were generally in the average range, with possible risk for social and language concerns. Coping and resiliency were described into adulthood. Satisfaction and positive benefit of ear reconstruction/canaloplasty were high. Care recommendations include increasing: hearing amplification use, microtia and CFM knowledge among providers, efficient treatment coordination, psychosocial support, academic assistance, and advances to minimize surgical scarring. This broad literature overview informs clinical practice and research to improve psychosocial outcomes.

Establishing an International Interdisciplinary Research Network in Craniofacial Microsomia: The CARE Program

OBJECTIVE

Craniofacial microsomia (CFM) is a broad clinical term used to describe a congenital condition most commonly involving the underdevelopment of the external ear, mandible, soft tissues, and facial nerve. Despite medical advances, understanding of the psychological health and healthcare experiences of individuals with CFM and their caregivers remains limited. This article describes a research program designed to address these knowledge gaps, and identify opportunities for psychosocial intervention and improved healthcare provision.

DESIGN

The Craniofacial microsomia: Accelerating Research and Education (CARE) research program aims to: 1) Conduct up to 160 narrative interviews with individuals and caregivers to validate a conceptual framework; 2) Administer an online international survey of up to 800 individuals with CFM and caregivers to identify predictors of psychological distress; 3) Perform up to 60 semi-structured interviews with healthcare providers and advocacy leaders to examine the extent to which current healthcare provisions address identified patient needs; and 4) Establish a participant registry to build a longitudinal database and develop an international community.

RESULTS

Teams in the USA and UK have been established, alongside an international, interdisciplinary Advisory Committee. Data analysis for Aim 1 is ongoing and informing the delivery of Aims 2-3. Aim 4 is also in development. A dedicated website serves as a recruitment tool, educational resource, and mechanism for engaging with the CFM community.

CONCLUSIONS

The CARE program provides a comprehensive approach to understanding the experiences of individuals with CFM and their caregivers. Challenges encountered and lessons learned are shared for the benefit of the community.

Infant AFAR: Automated facial action recognition in infants

Automated detection of facial action units in infants is challenging. Infant faces have different proportions, less texture, fewer wrinkles and furrows, and unique facial actions relative to adults. For these and related reasons, action unit (AU) detectors that are trained on adult faces may generalize poorly to infant faces. To train and test AU detectors for infant faces, we trained convolutional neural networks (CNN) in adult video databases and fine-tuned these networks in two large, manually annotated, infant video databases that differ in context, head pose, illumination, video resolution, and infant age. AUs were those central to expression of positive and negative emotion. AU detectors trained in infants greatly outperformed ones trained previously in adults. Training AU detectors across infant databases afforded greater robustness to between-database differences than did training database specific AU detectors and outperformed previous state-of-the-art in infant AU detection. The resulting AU detection system, which we refer to as Infant AFAR (Automated Facial Action Recognition), is available to the research community for further testing and applications in infant emotion, social interaction, and related topics.

Craniofacial microsomia: Reflections on diagnosis and severity assessment based on a series of cases

This study aims to discuss diagnostic criteria and severity assessment for craniofacial microsomia (CFM). A series of 61 patients with diverse CFM phenotypes had their clinical data collected by experienced dysmorphologists using a single protocol. Genetic abnormalities were searched through karyotype and chromosomal microarray analysis. Sex ratio, prenatal risk factors, and recurrence rate corroborated the literature. Despite the wide variability of clinical findings, ear disruption was universal. Eight patients were assigned as syndromic, four of whom had demonstrable genetic alterations. The majority of patients (67.2%) fulfilled four known diagnostic criteria, while 9.8% fulfilled one of them. Data strengthened disruptions of the ear and deafness as a semiotically valuable sign in CFM. Facial impairment should consider asymmetry as a mild expression of microsomia. Spinal and cardiac anomalies, microcephaly, and developmental delay were prevalent among extra craniofacial features and should be screened before planning treatment and follow up. The severity index was able to recognize the less and the most affected patients. However, it was not useful to support therapeutic decisions and prognosis in the clinical scenario due to syndromic and non-syndromic phenotypes overlapping. These issues make contemporary the debate on diagnostic methods and disease severity assessment for CFM. They also impact care and etiopathogenetic studies.

Cognitive, Motor, and Language Development of Preschool Children With Craniofacial Microsomia

OBJECTIVE

To examine neurodevelopment in preschool-aged children with craniofacial microsomia (CFM) relative to unaffected peers.

DESIGN

Multisite, longitudinal cohort study.

SETTING

Tertiary care centers in the United States.

PARTICIPANTS

We included 92 children with CFM ("cases") through craniofacial centers and clinics. Seventy-six children without CFM (controls) were included from pediatric practices and community advertisements. This study reports on outcomes assessed when participants were an average age of 38.4 months (SD = 1.9).

MAIN OUTCOME MEASURES

We assessed cognitive and motor skills using the Bayley Scales of Infant and Toddler Development, third edition (Bayley-III), and language function using subtests from the Clinical Evaluation of Language Fundamentals-Preschool, second edition (CELF-P2).

RESULTS

Case-control differences were negligible for Bayley-III cognitive (effect sizes [ES] = -0.06, P = .72) and motor outcomes (ES = -0.19, P = .25). Cases scored lower than controls on most scales of the CELF-P2 (ES = -0.58 to -0.20, P = .01 to .26). Frequency counts for "developmental delay" (ie, one or more scores > 1 SD below the normative mean) were higher for cases (39%) than controls (15%); however, the adjusted odds ratio = 1.73 (P = 0.21) was not significant. Case-control differences were most evident in children with microtia or other combinations of CFM-related facial features.

CONCLUSIONS

Cognitive and motor scores were similar for preschool-aged children with and without CFM. However, children with CFM scored lower than controls on language measures. We recommend early monitoring of language to identify preschoolers with CFM who could benefit from intervention.

Behavioral Adjustment of Preschool Children With and Without Craniofacial Microsomia

OBJECTIVE

The study aim was to assess behavioral adjustment in preschool children with and without craniofacial microsomia (CFM).

DESIGN

Multisite cohort study of preschoolers with CFM ("cases") or without CFM ("controls").

PARTICIPANTS

Mothers (89%), fathers (9%), and other caregivers (2%) of 161 preschoolers.

OUTCOME MEASURE

Child Behavior Check List (CBCL 1.5-5); linear regressions with standardized effect sizes (ES) adjusted for sociodemographic confounds.

RESULTS

Child Behavior Check Lists for 89 cases and 72 controls (average age 38.3 ± 1.9 months). Children were male (54%), white (69%), and of Latino ethnicity (47%). Cases had microtia with mandibular hypoplasia (52%), microtia only (30%), or other CFM-associated features (18%). Nearly 20% of cases had extracranial anomalies. Composite CBCL scores were in the average range compared to test norms and similar for cases and controls. On the subscales, cases' parents reported higher Anxious/Depressed scores (ES = 0.35, P = .04), Stress Problems (ES = 0.40, P = .04), Anxiety Problems (ES = 0.34, P = .04), and Autism Spectrum Problems (ES = 0.41, P = .02); however, the autism subscale primarily reflected speech concerns. Among cases, more problems were reported for children with extracranial anomalies and certain phenotypic categories with small ES.

CONCLUSIONS

Behavioral adjustment of preschoolers with CFM was comparable to peers. However, parental reports reflected greater concern for internalizing behaviors; thus, anxiety screening and interventions may benefit children with CFM. Among cases, more problems were reported for those with more complex presentations of CFM. Craniofacial microsomia-related speech problems should be distinguished from associated psychosocial symptoms during developmental evaluations.

Evaluation of prenatal diabetes mellitus and other risk factors for craniofacial microsomia

OBJECTIVES

Craniofacial microsomia (CFM) is a congenital condition that typically involves hypoplasia of the ear and jaw. It is often associated with adverse effects such as hearing loss and sleep-disordered breathing. There is little research on its etiology.

METHODS

We conducted a case-control study from maternal interview data collected from mothers of infants with and without CFM. The study included 108 children with and 84 children without CFM. Logistic regression with adjustment for demographic factors was used to evaluate associations between maternal exposures of interest and risk for CFM overall, as well as for different phenotypic sub-groups of children on the CFM spectrum.

RESULTS

We found a statistically significant association between diabetes mellitus (DM) and CFM (OR 4.01, 95% CI 1.6-10.5). The association was slightly attenuated after adjustment for BMI. Higher parity was also associated with increased risk for CFM (OR 2.0, 95% CI 1.0-4.0). Vitamin A consumption and/or liver consumption was associated with a 70% lower risk compared with non-users (OR 0.3, 95% 0.1-0.8). Maternal age at the time of pregnancy was not associated with CFM.

CONCLUSIONS

These analyses contribute evidence linking maternal DM with an elevated risk of having an infant with CFM, which is consistent with previous research and adds to the body of knowledge about the strength of this association. Further study is warranted to understand the potential mechanisms underlying the effect of DM in the developing embryo.