Lateral visual hemifield asymmetry and sex differences in recognizing low and high spatial frequency filtered faces.

Perilla-Rodríguez, Lina María; Moraes, Rui de; Fukusima, Sérgio Sheiji

doi:10.3922/j.psns.2013.3.03

Cited by 6 publications

(6 citation statements)

References 57 publications

(97 reference statements)

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“…A large empirical framework further supported this hypothesis (e.g., dos Santos, Andrade, & Fernandez Calvo, 2013; Musel et al, 2013; Reinvang, Magnussen, & Greenlee, 2002). Interestingly, past studies also showed SF asymmetry for face processing (de Moraes, Sousa, & Fukusima, 2014; Perilla-Rodríguez, de Moraes, & Fukusima, 2013; Sergent, 1985). Overall, previous studies on SF processing and hemispheric functional asymmetries led us to wonder about the temporal integration of SF to encode human faces in the brain hemispheres.…”

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confidence: 89%

Behavioral evidence for a predominant and nonlateralized coarse-to-fine encoding for face categorization.

Moraes

Kauffmann

Fukusima

et al. 2016

Psychology & Neuroscience

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Influential models on visual perception assume that there is a precedence of low over high spatial frequencies (SFs) in the processing time course of the visual input, that is, a coarse-to-fine (CtF) encoding. Additionally, hemispheric asymmetries for strategies of SF processing have been shown. A CtF processing would be favored in the right hemisphere, whereas the reverse fine-to-coarse (FtC) processing would be favored in the left hemisphere. In the current article, we aimed to behaviorally investigate which temporal strategy, that is, CtF or FtC, each brain hemisphere performs to integrate SF information of human faces. To address this issue, we conducted a male–female categorization task using the divided visual field paradigm; CtF and FtC brief dynamic sequences of faces were presented in the left, right, and central visual fields. Results of the correct response time and the inverse efficiency score showed an overall advantage of CtF processing for face categorization, irrespective of the visual field of presentation. Error rate data also highlights the role of the right hemisphere in CtF processing. Here, we provide evidence at the behavioral level for a general and nonlateralized precedence of the default CtF strategy carried out by the visual system to encode faces, a complex stimulus with ecological value.

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confidence: 89%

Behavioral evidence for a predominant and nonlateralized coarse-to-fine encoding for face categorization.

Moraes

Kauffmann

Fukusima

et al. 2016

Psychology & Neuroscience

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“…The filter comprises the best band for face recognition, consisting of both coarse and fine visual cues (Morrison & Schyns, 2001; Parker & Costen, 1999). Therefore, the psychophysical studies show that the visual system processes faces more quickly with the full spectrum of spatial frequency or 8-16 cpf compared with high-pass or low-pass filters outside this range (Goffaux et al, 2011; Perílla-Rodríguez, de Moraes Júnior, & Fukusima, 2013). The band-pass filter that Sergent (1987) used may have indicated the general ability to recognize faces in each hemisphere.…”

Section: Hemispheric Specialization Of Spatial Frequencies In Face Re...mentioning

confidence: 99%

“…Taking this into account, Perilla-Rodríguez et al (2013) conducted a study of face recognition in high and low spatial frequencies of unfiltered faces previously memorized. The faces were presented lateralized for 300 ms using an adaptation of the divided visual field method.…”

Section: Hemispheric Specialization Of Spatial Frequencies In Face Re...mentioning

confidence: 99%

“…In short, the first studies performed in the 1980s had limitations because they used indirect methods (Keenan et al, 1987; Moscovitch & Radizins, 1987) or performed inadequate digital filtering that did not maximize the difference between high and low spatial frequencies (Sergent, 1985, 1987; Whitman & Keegan, 1991). This scenario was improved with the computer revolution and the popularization of algorithms, such as fast Fourier transform, that were incorporated in new studies (Perilla-Rodríguez et al, 2013; Whitman & Keegan, 1991). Processing time was suggested to play a key role in the occurrence of this perceptual phenomenon.…”

Section: Hemispheric Specialization Of Spatial Frequencies In Face Re...mentioning

confidence: 99%

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Hemispheric specialization in face recognition: From spatial frequencies to holistic/analytic cognitive processing.

Júnior

Sousa

Fukusima

2014

Psychology & Neuroscience

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We present clinical and neurophysiological studies that show brain areas that are involved in face perception and how the right and left hemispheres perform holistic and analytic processing, depending on spatial frequency information. The hemispheric specialization of spatial frequency in face recognition is then reviewed and discussed. The limitations of previous work and suggestions for further investigations are discussed. Our conclusion is that functional sensorial asymmetries may be the basis for high-level cognitive asymmetries.

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“…It was observed that for women, the left hemisphere prioritized high spatial frequencies, which mediates analytical processing (that is, processing of a single feature regardless of the context), whereas the right hemisphere in females prioritized low spatial frequencies (which mediates holistic processing, that is, integrating the facial features) to recognize faces. For males, both the right and left hemispheres prioritized low spatial frequencies to recognize faces (Perilla-Rodríguez et al, 2013). Hence, men and women seem to present different sensitivity regarding their cerebral asymmetry for recognizing faces.…”

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confidence: 96%

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2017

Estud. psicol. (Natal)

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Recognizing emotional expressions is enabled by a fundamental sociocognitive mechanism of human nature. This study compared 114 women and 104 men on the identification of basic emotions on a recognition task that used culturally adapted and validated faces to the Brazilian context. It was also investigated whether gender differences on emotion recognition would vary according to different exposure times. Women were generally better at detecting facial expressions, but an interaction suggested that the female superiority was particularly observed for anger, disgust, and surprise; results did not change according to age or time exposure. However, regardless of sex, total accuracy improved as presentation times increased, but only fear and anger significantly differed between the presentation times. Hence, in addition to the support of the evolutionary hypothesis of the female superiority in detecting facial expressions of emotions, recognition of facial expressions also depend on the time available to correctly identify an expression.

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Lateral visual hemifield asymmetry and sex differences in recognizing low and high spatial frequency filtered faces.

Cited by 6 publications

References 57 publications

Behavioral evidence for a predominant and nonlateralized coarse-to-fine encoding for face categorization.

Behavioral evidence for a predominant and nonlateralized coarse-to-fine encoding for face categorization.

Hemispheric specialization in face recognition: From spatial frequencies to holistic/analytic cognitive processing.

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