Challenges and insights for the visual system: Are face and word recognition two sides of the same coin?

Moret-Tatay, Carmen; Fortea, Inmaculada Baixauli; Sevilla, María Dolores Grau

doi:10.1016/j.jneuroling.2020.100941

Cited by 11 publications

(9 citation statements)

References 78 publications

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“…The recognition of facial expressions depends both on accurate visuo-perceptual processes and correct emotion categorization. The accurate decoding of facial features is an essential human ability that develops from the very beginning of life [ 1 , 2 ]. Newborns show preferential orienting and tracking for schematic face stimuli compared to scrambled faces [ 3 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

Emotion Recognition in Preterm and Full-Term School-Age Children

Longa

Nosarti

Farroni

2022

IJERPH

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Children born preterm (<37 weeks’ gestation) show a specific vulnerability for socio-emotional difficulties, which may lead to an increased likelihood of developing behavioral and psychiatric problems in adolescence and adulthood. The accurate decoding of emotional signals from faces represents a fundamental prerequisite for early social interactions, allowing children to derive information about others’ feelings and intentions. The present study aims to explore possible differences between preterm and full-term children in the ability to detect emotional expressions, as well as possible relationships between this ability and socio-emotional skills and problem behaviors during everyday activities. We assessed 55 school-age children (n = 34 preterm and n = 21 full-term) with a cognitive battery that ensured comparable cognitive abilities between the two groups. Moreover, children were asked to identify emotional expressions from pictures of peers’ faces (Emotion Recognition Task). Finally, children’s emotional, social and behavioral outcomes were assessed with parent-reported questionnaires. The results revealed that preterm children were less accurate than full-term children in detecting positive emotional expressions and they showed poorer social and behavioral outcomes. Notably, correlational analyses showed a relationship between the ability to recognize emotional expressions and socio-emotional functioning. The present study highlights that early difficulties in decoding emotional signals from faces may be critically linked to emotional and behavioral regulation problems, with important implications for the development of social skills and effective interpersonal interactions.

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Section: Introductionmentioning

confidence: 99%

Emotion Recognition in Preterm and Full-Term School-Age Children

Longa

Nosarti

Farroni

2022

IJERPH

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“…The aim of this study was to examine differences between face and word recognition through response and time components. These two processes have been compared among each one, being considered as two sides of the same coin in the literature [ 48 ]. Let us remember that both processes share a similar area in the brain with, some specializations in the fusiform gyrus, and that both are examples of expert visual processing.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

“…This last one is considered innate and developed in the same brain area. However, recent work suggests that specialization for each process, which rather than being independent, might be bilaterally distributed with some preferences [ 48 , 52 ]. This explanation is supported by the development of specialized area for each process, as described in the introduction of this work.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Word and Face Recognition Processing Based on Response Times and Ex-Gaussian Components

Moret-Tatay

Gallego

Sáiz-Mauleón

et al. 2021

Entropy

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The face is a fundamental feature of our identity. In humans, the existence of specialized processing modules for faces is now widely accepted. However, identifying the processes involved for proper names is more problematic. The aim of the present study is to examine which of the two treatments is produced earlier and whether the social abilities are influent. We selected 100 university students divided into two groups: Spanish and USA students. They had to recognize famous faces or names by using a masked priming task. An analysis of variance about the reaction times (RT) was used to determine whether significant differences could be observed in word or face recognition and between the Spanish or USA group. Additionally, and to examine the role of outliers, the Gaussian distribution has been modified exponentially. Famous faces were recognized faster than names, and differences were observed between Spanish and North American participants, but not for unknown distracting faces. The current results suggest that response times to face processing might be faster than name recognition, which supports the idea of differences in processing nature.

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“…It is worthy to note that also other ERPs face-sensitive components have emerged in the face literature [ 74 ]. After the N170, at occipito-temporal, the P200 has been suggested to be sensitive to face typicality and to second-order spatial relations [ 45 ].…”

Section: Discussionmentioning

confidence: 99%

Mapping the Featural and Holistic Face Processing of Bad and Good Face Recognizers

Marzi

Gronchi

Turano

et al. 2021

Behavioral Sciences

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Individual abilities in face recognition (good versus bad recognizers) were explored by means of event-related potentials (ERPs). The adaptation response profile of the N170 component to whole faces, eyes and mouths was used in order to highlight the crucial role of individual abilities in identity repetition processes for unfamiliar faces. The main point of this study is to underline the importance of characterizing the performance (bad or good) of the participants and to show that behaviorally selected groups might reveal neural differences. Good recognizers showed selective right hemisphere N170 repetition effects for whole faces and not for features. On the contrary, bad recognizers showed a general repetition effect not specifically related to faces and more pronounced processing for features. These findings suggest a different contribution of holistic and featural analysis in bad and good performers. In conclusion, we propose that the N170 might be used as a tool to tease apart face encoding processes as a function of individual differences.

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Challenges and insights for the visual system: Are face and word recognition two sides of the same coin?

Cited by 11 publications

References 78 publications

Emotion Recognition in Preterm and Full-Term School-Age Children

Emotion Recognition in Preterm and Full-Term School-Age Children

Word and Face Recognition Processing Based on Response Times and Ex-Gaussian Components

Mapping the Featural and Holistic Face Processing of Bad and Good Face Recognizers

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