Cortical Thickness in Fusiform Face Area Predicts Face and Object Recognition Performance

McGugin, Rankin W.; Gulick, Ana Van; Gauthier, Isabel

doi:10.1167/15.12.428

Cited by 6 publications

(8 citation statements)

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“…Evidence from other parcellation schemes is warranted. Finally, while we selected patients whose lesion spared domain‐specific VTC clusters and that there was no positive effect of the FA values of the two local VTC ROIs, it is possible that the object recognition performance may relate to other structural properties of local ROI, such as GM volume or thickness (e.g., Gomez et al, ; McGugin, Gulick, & Van, Gauthier, ). Future studies of different paradigms would be desirable for providing converging evidence.…”

Section: Discussionmentioning

confidence: 99%

Connectivity of the ventral visual cortex is necessary for object recognition in patients

Fang

Wang

et al. 2018

Human Brain Mapping

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The functional profiles of regions in the ventral occipital-temporal cortex (VTC), a critical region for object visual recognition, are associated with the VTC connectivity patterns to nonvisual regions relevant to the corresponding object domain. However, whether and how whole-brain connections affect recognition behavior remains untested. We directly examined the necessity of VTC connectivity in object recognition behavior by testing 82 patients whose lesion spared relevant VTC regions but affected various white matter (WM) tracts and other regions. In these patients, we extracted the whole-brain anatomical connections of two VTC domain-selective (large manmade objects and animals) clusters with probabilistic tractography, and examined whether such connectivity pattern can predict recognition performance of the corresponding domains with support vector regression (SVR) analysis. We found that the whole-brain anatomical connectivity of large manmade object-specific cluster successfully predicted patients' large object recognition performance but not animal recognition or control tasks, even after we excluded connections with early visual regions. The contributing connections to large object recognition included tracts between VTC-large object cluster and distributed regions both within and beyond the visual cortex (e.g., putamen, superior, and middle temporal gyrus). These results provide causal evidence that the VTC whole-brain anatomical connectivity is necessary for at least certain domains of object recognition behavior.

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Section: Discussionmentioning

confidence: 99%

Connectivity of the ventral visual cortex is necessary for object recognition in patients

Fang

Wang

et al. 2018

Human Brain Mapping

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“…The study of structural characteristics within the core regions of the face cognition brain network and related performance outcomes have received less attention. However, individual differences in cortical thickness of the right posterior FFA have been shown by McGugin and colleagues [39] to go along with individual differences in the performance of processing faces and cars. In this study, participants (n = 27) completed psychometric task batteries encompassing stimuli of living (such as faces) and nonliving (such as cars) objects.…”

Section: The Neuroanatomy Of Face Cognitionmentioning

confidence: 97%

“…Interestingly, however, while the relationship between CT in the FFA and behavioural task performance was positive for vehicles, indicating that a thicker cortex was associated with better performance, it was negative for faces, indicating that a thicker cortex was associated with diminished performance. McGugin and colleagues [39] interpret this distinction in terms of developmental account of brain learning. Possibly, the time between the acquisition of a new skill and the measurement of CT in the respective brain areas might play a crucial role in explaining these seemingly contradictory results.…”

Section: The Neuroanatomy Of Face Cognitionmentioning

confidence: 99%

Are global and specific interindividual differences in cortical thickness associated with facets of cognitive abilities, including face cognition?

et al. 2019

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Face cognition (FC) is a specific ability that cannot be fully explained by general cognitive functions. Cortical thickness (CT) is a neural correlate of performance and learning. In this registered report, we used data from the Human Connectome Project (HCP) to investigate the relationship between CT in the core brain network of FC and performance on a psychometric task battery, including tasks with facial content. Using structural equation modelling (SEM), we tested the existence of face-specific interindividual differences at behavioural and neural levels. The measurement models include general and face-specific factors of performance and CT. There was no face-specificity in CT in functionally localized areas. In post hoc analyses, we compared the preregistered, small regions of interest (ROIs) to larger, non-individualized ROIs and identified a face-specific CT factor when large ROIs were considered. We show that this was probably due to low reliability of CT in the functional localization (intra-class correlation coefficients (ICC) between 0.72 and 0.85). Furthermore, general cognitive ability, but not face-specific performance, could be predicted by latent factors of CT with a small effect size. In conclusion, for the core brain network of FC, we provide exploratory evidence (in need of cross-validation) that areas of the cortex sharing a functional purpose did also share morphological properties as measured by CT.

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“…4 The FFA is specialized in processing faces 3 and appears to be involved more in the determination of identity. [5][6][7] Further proof of the specialization of face perception is "prosopagnosia," a specific inability to recognize familiar faces, 8 but not other objects. 9 This is associated with lesions in the ventral occipitotemporal cortex.…”

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confidence: 99%

Face Perception in Face Transplant Patients

et al. 2019

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The authors tested face discrimination, face recognition, object discrimination, and object recognition in two face transplantation patients (FTPs) who had facial injury since infancy, a patient who had a facial surgery due to a recent wound, and two control subjects. In Experiment 1, the authors showed them original faces and morphed forms of those faces and asked them to rate the similarity between the two. In Experiment 2, they showed old, new, and implicit faces and asked whether they recognized them or not. In Experiment 3, they showed them original objects and morphed forms of those objects and asked them to rate the similarity between the two. In Experiment 4, they showed old, new, and implicit objects and asked whether they recognized them or not. Object discrimination and object recognition performance did not differ between the FTPs and the controls. However, the face discrimination performance of FTP2 and face recognition performance of the FTP1 were poorer than that of the controls were. Therefore, the authors concluded that the structure of the face might affect face processing.

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Cortical Thickness in Fusiform Face Area Predicts Face and Object Recognition Performance

Cited by 6 publications

References 0 publications

Connectivity of the ventral visual cortex is necessary for object recognition in patients

Connectivity of the ventral visual cortex is necessary for object recognition in patients

Are global and specific interindividual differences in cortical thickness associated with facets of cognitive abilities, including face cognition?

Face Perception in Face Transplant Patients

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