Let's face it: The lateralization of the face perception network as measured with fMRI is not clearly right dominant

Thome, Ina; Alanis, José C. García; Volk, Jannika; Vogelbacher, Christoph; Steinsträter, Olaf; Jansen, Andreas

doi:10.1016/j.neuroimage.2022.119587

Cited by 14 publications

(4 citation statements)

References 114 publications

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“…The current review highlights that the assumed rightward asymmetry of face processing is less clear than thought, a finding that is in line with recent fMRI evidence (Thome et al, 2022). The clearest evidence for RH asymmetries was found for the N170 amplitudes, where no study found a reversed LH asymmetry pattern.…”

Section: Discussionsupporting

confidence: 86%

“…FMRI experiments usually find that face-specific regions (e.g., FFA, OFA) are lateralized to the RH, with most right-handed subjects showing higher activation to faces vs. other objects only in the RH (or bilateral, but not only in the LH (Kanwisher et al, 1997)). This clear rightward asymmetry of face processing was recently challenged by a large fMRI study by Thome et al (2022) who found that in general, face perception seems to be slightly right-lateralized, but to a lesser extent than proposed before. Especially the influence of and interactions between participant variables like sex (Ino et al, 2010), age (Burianová et al, 2013;Lesinger et al, 2023), and handedness (Bukowski et al, 2013;Thome et al, 2022) seem to influence on face lateralization, even though not all studies find such differences between participant groups.…”

Section: Face Processing Lateralizationmentioning

confidence: 88%

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Asymmetries in event-related potentials part 1: A systematic review of face processing studies

Reinke,

Deneke,

Ocklenburg

2024

International Journal of Psychophysiology

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Section: Discussionsupporting

confidence: 86%

Section: Face Processing Lateralizationmentioning

confidence: 88%

Asymmetries in event-related potentials part 1: A systematic review of face processing studies

Reinke,

Deneke,

Ocklenburg

2024

International Journal of Psychophysiology

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“…Indeed, the neural face-processing network is distributed across both hemispheres, although a relative right-hemispheric dominance has been predominantly reported [143]. For example, Thome et al [144] used fMRI to evaluate the cerebral face perception network in 108 healthy adults. While the average brain activity was higher in right-hemispheric areas than in left-hemispheric regions, this asymmetry was rather mild when compared to other lateralized brain functions such as language and spatial attention.…”

Section: Discussionmentioning

confidence: 99%

The Neural Correlates of Developmental Prosopagnosia: Twenty-Five Years on

Manippa,

Palmisano,

Ventura

et al. 2023

Brain Sciences

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Faces play a crucial role in social interactions. Developmental prosopagnosia (DP) refers to the lifelong difficulty in recognizing faces despite the absence of obvious signs of brain lesions. In recent decades, the neural substrate of this condition has been extensively investigated. While early neuroimaging studies did not reveal significant functional and structural abnormalities in the brains of individuals with developmental prosopagnosia (DPs), recent evidence identifies abnormalities at multiple levels within DPs’ face-processing networks. The current work aims to provide an overview of the convergent and contrasting findings by examining twenty-five years of neuroimaging literature on the anatomo-functional correlates of DP. We included 55 original papers, including 63 studies that compared the brain structure (MRI) and activity (fMRI, EEG, MEG) of healthy control participants and DPs. Despite variations in methods, procedures, outcomes, sample selection, and study design, this scoping review suggests that morphological, functional, and electrophysiological features characterize DPs’ brains, primarily within the ventral visual stream. Particularly, the functional and anatomical connectivity between the Fusiform Face Area and the other face-sensitive regions seems strongly impaired. The cognitive and clinical implications as well as the limitations of these findings are discussed in light of the available knowledge and challenges in the context of DP.

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“…FMRI highlights the fusiform face area (FFA) that is specific to the perception of faces ( Kanwisher et al, 1997 ; Kanwisher and Yovel, 2006 ). A growing number of studies reveal the connection of FFA not only with face recognition, but also with facial emotion recognition ( Guyer et al, 2008 ; Thome et al, 2022 ). Zinchenko et al (2018) , in a meta-analysis of fMRI, suggested that dynamic stimuli (e.g., videos) may be more specific and ecologically valid to study face perception.…”

Section: Introductionmentioning

confidence: 99%

“Calculating faces”: can face perception paradigms enrich dyscalculia research?

Baulina,

Kosonogov

2024

Front. Psychol.

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Developmental dyscalculia (DD) is a subtype of learning disabilities, which is characterized by lower mathematical skills despite average intelligence and average or satisfactory performance in other academic areas. It is not fully understood how such deficits emerge in the course of brain development. When considering the mechanisms of dyscalculia, two domain-specific systems are distinguished. The Approximate Number System (ANS) is related to the approximate estimation of large sets, and the Object Tracking System (OTS) is responsible for subitizing, that is, the exact quantification of small sets. In recent years, the multiple-deficit framework has become increasingly popular. On the one hand, it explains the impairment of certain general cognitive functions in children with DD, such as executive functions, attention, visual-perceptual discrimination, processing speed, and rapid scanning of visual information. On the other hand, it provides a theoretical basis for explaining the simultaneous occurrence of the different types of other comorbid conditions (such as dyslexia and ADHD) and the relationship between them. We suggest that the face recognition could be considered as another, probably impaired function in dyscalculic individuals. We highlight several brain areas involved both in numerical and facial processing: intraparietal sulcus (IPS), fusiform gyrus (FFG), and hippocampus (HC). We consider the possibility of expanding the scope of dyscalculia research by application of face perception paradigms.

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Let's face it: The lateralization of the face perception network as measured with fMRI is not clearly right dominant

Cited by 14 publications

References 114 publications

Asymmetries in event-related potentials part 1: A systematic review of face processing studies

Asymmetries in event-related potentials part 1: A systematic review of face processing studies

The Neural Correlates of Developmental Prosopagnosia: Twenty-Five Years on

“Calculating faces”: can face perception paradigms enrich dyscalculia research?

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