Publications by authors named "Michael Papasavva"

Background: The Healthy Child Programme (HCP) in England, delivered by Health Visitors (HV) and Nursery Nurses (NN), aims to assess growth and development in pre-school age children. This qualitative analysis aimed to evaluate the perceptions and experiences of HCP providers and parents located in a London borough.

Methods: This qualitative analysis is part of a larger study piloting an automated growth screening algorithm in a London borough.

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Although humans are considered to be face experts, there is a well-established reliable variation in the degree to which neurotypical individuals are able to learn and recognise faces. While many behavioural studies have characterised these differences, studies that seek to relate the neuronal response to standardised behavioural measures of ability remain relatively scarce, particularly so for the time-resolved approaches and the early response to face stimuli. In the present study we make use of a relatively recent methodological advance, multi-variate pattern analysis (MVPA), to decode the time course of the neural response to faces compared to other object categories (inverted faces, objects).

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Face recognition ability is often reported to be a relative strength in Williams syndrome (WS). Yet methodological issues associated with the supporting research, and evidence that atypical face processing mechanisms may drive outcomes 'in the typical range', challenge these simplistic characterisations of this important social ability. Detailed investigations of face processing abilities in WS both at a behavioural and neural level provide critical insights.

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Older adults tend to perform more poorly than younger adults on emotional expression identification tasks. The goal of the present study was to test a processing mechanism that might explain these differences in emotion recognition-specifically, age-related variation in the utilization of specific visual cues. Seventeen younger and 17 older adults completed a reverse-correlation emotion categorization task (Bubbles paradigm), consisting of a large number of trials in each of which only part of the visual information used to convey an emotional facial expression was revealed to participants.

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