Background: Williams syndrome (WMS) is a rare genetic disorder with an estimated prevalence of 1 in 20 000 live births. Among other characteristics, WMS has a distinctive cognitive profile with spared face processing and language skills that contrasts with impairment in the cognitive domains of spatial cognition, problem solving and planning. It remains unclear whether individuals with WMS process faces using a featural strategy that focuses on features or a configural strategy that takes into consideration the contour of a face and spatial relations between features.
Methods: To investigate face processing in WMS, the tasks specifically probe unfamiliar face matching by using a design that includes manipulations in face presentation (thatcherised and non-thatcherised), face orientation (upright and inverted) and face valence (happy and neutral expression) in a match-to-target face recognition design. The sample consisted of 20 participants with WMS, 10 participants with non-specific developmental delay (IQ-matched) and 10 normal control participants (chronological age-matched).
Results: Similar to normal controls, WMS performed best when faces were presented upright. The results show while the WMS group did not perform as well as their typically developing counterparts, they did significantly better than the IQ-matched developmentally delayed group. WMS did not show an accuracy advantage for inverted faces commonly understood as an index for featural face processing, nor did they perform better on thatcherised inverted face conditions whereby featural processing is forced. Furthermore, no accuracy advantage was observed for positively valenced (happy) faces in the WMS group.
Conclusion: These results are consistent with previous work showing a configural face processing approach in WMS, a strategy that is also utilised by normal controls.
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http://dx.doi.org/10.1111/j.1365-2788.2011.01426.x | DOI Listing |
Handb Clin Neurol
March 2025
Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States. Electronic address:
A defining characteristic of the human brain is that, notwithstanding the clear anatomic similarities, the two cerebral hemispheres have several different functional superiorities. The focus of this chapter is on the hemispheric asymmetry associated with the function of face identity processing, a finely tuned and expert behavior for almost all humans that is acquired incidentally from birth and continues to be refined through early adulthood. The first section lays out the well-accepted doctrine that face perception is a product of the right hemisphere, a finding based on longstanding behavioral data from healthy adult human observers.
View Article and Find Full Text PDFHandb Clin Neurol
March 2025
Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
The capacity for language constitutes a cornerstone of human cognition and distinguishes our species from other animals. Research in the cognitive sciences has demonstrated that this capacity is not bound to speech but can also be externalized in the form of sign language. Sign languages are the naturally occurring languages of the deaf and rely on movements and configurations of hands, arms, face, and torso in space.
View Article and Find Full Text PDFMem Cognit
March 2025
Section Forensic Psychology, Department of Clinical Psychological Science, Faculty of Psychology and Neuroscience Maastricht University, Universiteitssingel 40, PO Box 616, 6200 MD, Maastricht, The Netherlands.
Recognizing masked faces is a challenge. Researchers have explored congruency-based approaches to improve face matching, with promising results. Here, we investigated whether congruency between the encoding and the retrieval conditions can improve masked face recognition when only the eyes are visible under conditions of high and low memory load.
View Article and Find Full Text PDFCogn Neurodyn
December 2025
Department of Electronic and Information Engineering, Tokyo University of Agriculture and Technology, Koganei-shi, Tokyo, 184-8588 Japan.
Unlabelled: Face masks became a part of everyday life during the SARS-CoV-2 pandemic. Previous studies showed that the face cognition mechanism involves holistic face processing, and the absence of face features could lower the cognition ability. This is opposed to the experience during the pandemic, when people could correctly recognize faces, although the mask covered a part of the face.
View Article and Find Full Text PDFACS Appl Mater Interfaces
March 2025
School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, P. R. China.
With the increasing development of metaverse and human-computer interaction (HMI) technologies, artificial intelligence (AI) applications in virtual reality (VR) environments are receiving significant attention. This study presents a self-sensing facial recognition mask (FRM) utilizing triboelectric nanogenerators (TENG) and machine learning algorithms to enhance user immersion and interaction. Various TENG negative electrode materials are evaluated to improve sensor performance, and the efficacy of a single sensor is confirmed.
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