Quantifying interindividual variability and asymmetry of face-selective regions: A probabilistic functional atlas

Zhen, Zonglei; Yang, Zetian; Huang, Lijie; Kong, Xiangzhen; Wang, Xu; Dang, Xiaobin; Huang, Yangyue; Song, Yiying; Liu, Jia

doi:10.1016/j.neuroimage.2015.03.010

Cited by 129 publications

(133 citation statements)

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“…In line with evidence from these lesion studies, here, the second largest face-selective responses were found in the right IOG and antFG, two regions in which highly face-selective responses were also clustered. The right IOG corresponds to the cortical territory where the OFA is typically located (16,17,51), so that our observations again validate the findings of neuroimaging studies of face perception. The right antFG is part of the ventral ATL, whose role in face perception is currently the focus of intense research (ref.…”

Section: Discussionsupporting

confidence: 86%

“…Collectively, these studies have reported larger brain responses to face images than other visual objects in clusters, patches, or functional regions of a few cubic millimeters within the human VOTC (e.g., refs. [10][11][12][13][14][15][16]. The clusters consistently reported across studies are localized in the lateral part of the middle/posterior fusiform gyrus [fusiform face area (FFA)] (12) and in the lateral part of the inferior occipital gyrus [occipital face area (OFA)] (17), as well as in the posterior superior temporal sulcus, a region that may be involved in more general and dynamic social communication functions (18).…”

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confidence: 99%

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A face-selective ventral occipito-temporal map of the human brain with intracerebral potentials

Jonas

Jacques²,

Liu‐Shuang³

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

129

194

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Human neuroimaging studies have identified a network of distinct face-selective regions in the ventral occipito-temporal cortex (VOTC), with a right hemispheric dominance. To date, there is no evidence for this hemispheric and regional specialization with direct measures of brain activity. To address this gap in knowledge, we recorded local neurophysiological activity from 1,678 contact electrodes implanted in the VOTC of a large group of epileptic patients (n = 28). They were presented with natural images of objects at a rapid fixed rate (six images per second: 6 Hz), with faces interleaved as every fifth stimulus (i.e., 1.2 Hz). High signal-to-noise ratio face-selective responses were objectively (i.e., exactly at the face stimulation frequency) identified and quantified throughout the whole VOTC. Face-selective responses were widely distributed across the whole VOTC, but also spatially clustered in specific regions. Among these regions, the lateral section of the right middle fusiform gyrus showed the largest face-selective response by far, offering, to our knowledge, the first supporting evidence of two decades of neuroimaging observations with direct neural measures. In addition, three distinct regions with a high proportion of face-selective responses were disclosed in the right ventral anterior temporal lobe, a region that is undersampled in neuroimaging because of magnetic susceptibility artifacts. A high proportion of contacts responding only to faces (i.e., "face-exclusive" responses) were found in these regions, suggesting that they contain populations of neurons involved in dedicated face-processing functions. Overall, these observations provide a comprehensive mapping of visual category selectivity in the whole human VOTC with direct neural measures.face perception | intracerebral recordings | fast periodic visual stimulation | face selectivity | fusiform gyrus

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Section: Discussionsupporting

confidence: 86%

mentioning

confidence: 99%

A face-selective ventral occipito-temporal map of the human brain with intracerebral potentials

Jonas

Jacques²,

Liu‐Shuang³

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

129

194

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“…First, it is unlikely that inputs from left IOG-faces support the stability of right pFus-faces because we were unable to identify IOG-faces in the left hemisphere in any session (Fig. 6A) and left IOG-faces is also not always detected in typical individuals (Zhen et al, 2015). Second, face selectivity in the left hemisphere (Fig.…”

Section: The Cortical Layout Of the Face Network Is Stable After Resementioning

confidence: 88%

“…right hemisphere dominance (Sergent et al, 1992;Puce et al, 1995;Haxby et al, 2000;Fox et al, 2008;Rossion, 2008;Pitcher et al, 2011a;Zhen et al, 2013;Duchaine and Yovel, 2015). A subset of these regions composes the "core" face network (Haxby et al, 2000): the inferior occipital gyrus/occipital face area (IOG-faces/ OFA) (Gauthier et al, 2000;Weiner and Grill-Spector, 2010), the fusiform gyrus (FG)/fusiform face area (FFA) (Kanwisher et al, 1997), which can be divided into separate regions on the posterior and mid-fusiform gyrus (Pinsk et al, 2009;Weiner and GrillSpector, 2010), and regions along the superior temporal sulcus (STS) (Puce et al, 1998;Pinsk et al, 2009;Pitcher et al, 2011b).…”

Section: Significance Statementmentioning

confidence: 99%

The Face-Processing Network Is Resilient to Focal Resection of Human Visual Cortex

Weiner¹,

Jonas²,

Gomez³

et al. 2016

Journal of Neuroscience

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Human face perception requires a network of brain regions distributed throughout the occipital and temporal lobes with a right hemisphere advantage. Present theories consider this network as either a processing hierarchy beginning with the inferior occipital gyrus (occipital face area; IOG-faces/OFA) or a multiple-route network with nonhierarchical components. The former predicts that removing IOG-faces/OFA will detrimentally affect downstream stages, whereas the latter does not. We tested this prediction in a human patient (Patient S.P.) requiring removal of the right inferior occipital cortex, including IOG-faces/OFA. We acquired multiple fMRI measurements in Patient S.P. before and after a preplanned surgery and multiple measurements in typical controls, enabling both within-subject/ across-session comparisons (Patient S.P. before resection vs Patient S.P. after resection) and between-subject/across-session comparisons (Patient S.P. vs controls). We found that the spatial topology and selectivity of downstream ipsilateral face-selective regions were stable 1 and 8 month(s) after surgery. Additionally, the reliability of distributed patterns of face selectivity in Patient S.P. before versus after resection was not different from across-session reliability in controls. Nevertheless, postoperatively, representations of visual space were typical in dorsal face-selective regions but atypical in ventral face-selective regions and V1 of the resected hemisphere. Diffusion weighted imaging in Patient S.P. and controls identifies white matter tracts connecting retinotopic areas to downstream face-selective regions, which may contribute to the stable and plastic features of the face network in Patient S.P. after surgery. Together, our results support a multiple-route network of face processing with nonhierarchical components and shed light on stable and plastic features of high-level visual cortex following focal brain damage.

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“…No participant was excluded due to excessive head motion (2 mm in translation or 2 degree in rotation from the first volume in any axis) or visually detected registration errors (Zhen et al 2015;Kong et al 2016b). Most of these participants (N = 167; 104 females; mean age = 20.2 years, SD = 0.90 years) completed three behavioral assessments, including a standard questionnaire on spatial navigation performance in daily life, a computer test on small-scale spatial ability, and a Raven task for general ability (see below).…”

Section: Participantsmentioning

confidence: 99%

Human navigation network: the intrinsic functional organization and behavioral relevance

Kong

Wang

et al. 2016

Brain Struct Funct

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Spatial navigation is a crucial ability for living. Previous work has revealed multiple distributed brain regions associated with human navigation. However, little is known about how these regions work together as a network (referred to as navigation network) to support flexible navigation. In a novel protocol, we combined neuroimaging meta-analysis, and functional connectivity and behavioral data from the same subjects. Briefly, we first constructed the navigation network for each participant, by combining a large-scale neuroimaging metaanalysis (with the Neurosynth) and resting-state functional magnetic resonance imaging. Then, we investigated multiple topological properties of the navigation networks, including small-worldness, modularity, and highly connected hubs. Finally, we explored the behavioral relevance of these intrinsic properties in a large sample of healthy young adults (N = 190). We found that navigation networks showed small-world and modular organization at global level. More importantly, we found that increased small-worldness and modularity of the navigation network were associated with better navigation ability. Finally, we found that the right retrosplenial complex (RSC) acted as one of the hubs in the navigation network, and that higher betweenness of this region correlated with better navigation ability, suggesting a critical role of the RSC in modulating the navigation network in human brain. Our study takes one of the first steps toward understanding the underlying organization of the navigation network. Moreover, these findings suggest the potential applications of the novel approach to investigating functionally meaningful networks in human brain and their relations to the behavioral impairments in the aging and psychiatric patients.

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Quantifying interindividual variability and asymmetry of face-selective regions: A probabilistic functional atlas

Cited by 129 publications

References 100 publications

A face-selective ventral occipito-temporal map of the human brain with intracerebral potentials

A face-selective ventral occipito-temporal map of the human brain with intracerebral potentials

The Face-Processing Network Is Resilient to Focal Resection of Human Visual Cortex

Human navigation network: the intrinsic functional organization and behavioral relevance

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