Intra- and interhemispheric connectivity between face-selective regions in the human brain

Davies‐Thompson, Jodie; Andrews, Timothy J.

doi:10.1152/jn.01171.2011

Cited by 101 publications

(62 citation statements)

References 46 publications

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“…In addition, recent studies have indicated interactions between the FG and STS during face processing [22] which is compatible with studies highlighting the role of functional connectivity between face-responsive neural structures, e.g. [23]. However, it should also be noted that ICA-correction and removal of cardiac artefacts typically recorded by the most inferior MEG-sensors have been reported to result in shifted z-coordinates and more superior source localizations [18].…”

Section: Discussionsupporting

confidence: 81%

Sex-Differences of Face Coding: Evidence from Larger Right Hemispheric M170 in Men and Dipole Source Modelling

et al. 2013

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The processing of faces relies on a specialized neural system comprising bilateral cortical structures with a dominance of the right hemisphere. However, due to inconsistencies of earlier findings as well as more recent results such functional lateralization has become a topic of discussion. In particular, studies employing behavioural tasks and electrophysiological methods indicate a dominance of the right hemisphere during face perception only in men whereas women exhibit symmetric and bilateral face processing. The aim of this study was to further investigate such sex differences in hemispheric processing of personally familiar and opposite-sex faces using whole-head magnetoencephalography (MEG). We found a right-lateralized M170-component in occipito-temporal sensor clusters in men as opposed to a bilateral response in women. Furthermore, the same pattern was obtained in performing dipole localization and determining dipole strength in the M170-timewindow. These results suggest asymmetric involvement of face-responsive neural structures in men and allow to ascribe this asymmetry to the fusiform gyrus. This specifies findings from previous investigations employing event-related potentials (ERP) and LORETA reconstruction methods yielding rather extended bilateral activations showing left asymmetry in women and right lateralization in men. We discuss our finding of an asymmetric fusiform activation pattern in men in terms of holistic face processing during face evaluation and sex differences with regard to visual strategies in general and interest for opposite faces in special. Taken together the pattern of hemispheric specialization observed here yields new insights into sex differences in face perception and entails further questions about interactions between biological sex, psychological gender and influences that might be stimulus-driven or task dependent.

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Section: Discussionsupporting

confidence: 81%

Sex-Differences of Face Coding: Evidence from Larger Right Hemispheric M170 in Men and Dipole Source Modelling

et al. 2013

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“…Based on EEG-fMRI correlational data, activity in pSTS-FA begins to respond at approximately the same time as the FFA and peaks at a similar point, 170 ms after stimulus onset (Sadeh et al 2010). In a functional connectivity study, Davies-Thompson & Andrews (2012) reported strong connections between the STS and IFG, consistent with DTI results reported by Ethofer and colleagues (2011). Although these studies were done without face localizers, and thus may have recorded from areas outside the face-selective areas, recordings in IFG found somewhat later responses, with latencies of approximately 150 ms and peaks at approximately 250 ms after stimulus onset (Marinkovic et al 2000).…”

Section: Dorsal Stream Face-selective Areassupporting

confidence: 78%

“…These findings are consistent with functional connectivity studies that examined the correlations between activations in face-selective areas during a face localizer or during rest. For example, Avidan et al (2014) reported strong correlations between the time courses of OFA and FFA activation and much lower correlations between activation of these areas and of the pSTS-FA (see also Davies-Thompson & Andrews 2012, Fairhall & Ishai 2007). …”

Section: Multiple Pathways Into the Face-processing Networkmentioning

confidence: 99%

A Revised Neural Framework for Face Processing

Duchaine

Yovel

2015

Annu. Rev. Vis. Sci.

417

392

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Face perception relies on computations carried out in face-selective cortical areas. These areas have been intensively investigated for two decades, and this work has been guided by an influential neural model suggested by Haxby and colleagues in 2000. Here, we review new findings about face-selective areas that suggest the need for modifications and additions to the Haxby model. We suggest a revised framework based on (a) evidence for multiple routes from early visual areas into the face-processing system, (b) information about the temporal characteristics of these areas, (c) indications that the fusiform face area contributes to the perception of changeable aspects of faces, (d) the greatly elevated responses to dynamic compared with static faces in dorsal face-selective brain areas, and (e) the identification of three new anterior face-selective areas. Together, these findings lead us to suggest that face perception depends on two separate pathways: a ventral stream that represents form information and a dorsal stream driven by motion and form information.

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“…Connectivity in response to face stimuli has been observed between R FFA and precuneus in healthy controls (Davies-Thompson and Andrews, 2012). Moreover, the precuneus and PCC are implicated in memory, visual imagery (Cavanna and Trimble, 2006), retrieving episodic memories associated with faces (Gobbini and Haxby, 2007), and, particularly as network hubs in the default mode network (DMN) (Gusnard et al ., 2001, Raichle et al ., 2001), self-referential thinking (Berman et al ., 2011).…”

Section: Discussionmentioning

confidence: 99%

Functional connectivity for face processing in individuals with body dysmorphic disorder and anorexia nervosa

et al. 2015

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Background.Body dysmorphic disorder (BDD) and anorexia nervosa (AN) are both characterized by distorted perception of appearance. Previous studies in BDD suggest abnormalities in visual processing of own and others’ faces, but no study has examined visual processing of faces in AN, nor directly compared the two disorders in this respect.Method.We collected functional magnetic resonance imaging data on 60 individuals of equivalent age and gender in each of three groups – 20 BDD, 20 weight-restored AN, and 20 healthy controls (HC) – while they viewed images of others’ faces that contained only high or low spatial frequency information (HSF or LSF). We tested hypotheses about functional connectivity within specialized sub-networks for HSF and LSF visual processing, using psychophysiological interaction analyses.Results.The BDD group demonstrated increased functional connectivity compared to HC between left anterior occipital face area and right fusiform face area (FFA) for LSF faces, which was associated with symptom severity. Both BDD and AN groups had increased connectivity compared to HC between FFA and precuneous/posterior cingulate gyrus for LSF faces, and decreased connectivity between FFA and insula. In addition, we found that LSF connectivity between FFA and posterior cingulate gyrus was significantly associated with thoughts about own appearance in AN.Conclusions.Results suggest similar abnormal functional connectivity within higher-order systems for face processing in BDD and AN, but distinct abnormal connectivity patterns within occipito-temporal visual networks. Findings may have implications for understanding relationships between these disorders, and the pathophysiology underlying perceptual distortions.

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Intra- and interhemispheric connectivity between face-selective regions in the human brain

Abstract: Davies-Thompson J, Andrews TJ. Intra-and interhemispheric connectivity between face-selective regions in the human brain.

Cited by 101 publications

References 46 publications

Sex-Differences of Face Coding: Evidence from Larger Right Hemispheric M170 in Men and Dipole Source Modelling

Sex-Differences of Face Coding: Evidence from Larger Right Hemispheric M170 in Men and Dipole Source Modelling

A Revised Neural Framework for Face Processing

Functional connectivity for face processing in individuals with body dysmorphic disorder and anorexia nervosa

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