The ability to recognize faces, which is critical for everyday social interactions, improves from childhood to adulthood. In adults, face recognition is mediated by a series of regions in the ventral aspect of human occipital and temporal cortex, constituting the ventral face network. The selectivity and spatial extent of the ventral face network develop from childhood to adulthood, in correlation with age-related improvements in face recognition. However, the neural mechanisms of this development, the rate of development, and the relation among factors that govern this development are not well understood. The goals of the proposed research are to fill these substantial gaps in knowledge by determining the relationship between anatomical and functional brain development and understanding how these developments ultimately lead to improved behavior. To achieve these goals, the research will combine cross-sectional and longitudinal measurements in children (5-10 years old) and adults (23-28 years old) obtaining innovative multimodal measurements of functional magnetic resonance imaging (fMRI), quantitative MRI (qMRI), diffusion weighted imaging (DWI), and behavior in each participant.
Aim 1 will employ longitudinal measurements of fMRI, qMRI, and face recognition behavior to determine what is the rate of the development of gray matter and functional selectivity in the face network, if development of gray matter and function occur together or one precedes the other, and if neural developments correlate with behavioral improvements in face recognition.
Aim 2 will employ cross-sectional and longitudinal measurements using fMRI, DWI, qMRI, and behavior to determine if and how white matter properties of the face network develop, if white matter developments are linked with either functional or behavioral development, and if development of white matter and function occur together or in sequence.
Aim 3 will use fMRI and population receptive field (pRF) modeling to determine if and how pRFs in the ventral face network change from childhood to adulthood, and if development of pRF properties is related to fixation patterns on faces.
Aim 4 will test if neural responses in face-selective become less sensitive to face transformations from childhood to adulthood, consequently improving generalization across different instances of the face under different sizes or views. Critically, in each aim we will examine not only the development of the ventral face network but the development of the human ventral visual stream more broadly to elucidate the specificity of developmental effects. Overall, the proposed research will advance understanding of neural mechanisms underlying the development of face recognition, it will elucidate completing developmental theories regarding the relation between anatomical and functional brain development, and will provide the first measurements of the developmental rate of multiple facets of human ventral temporal cortex anatomy and function. This research will provide an essential basis for future research on typical and atypical conditions including developmental prosopagnosia, Williams Syndrome, and autism.

Public Health Relevance

Our proposed research is in-line with the NEI?s mission to advance knowledge of mechanisms of visual function, development, and disorders. We propose detailed investigations of multiple anatomical and functional aspects of development of the human ventral visual stream face and their impact on visual recognition. We expect that our proposed research will break new ground in understanding the development of neural mechanisms underlying face recognition, and high- level vision more generally, providing an essential base for future research on developmental disorders involving altered visual and facial processing, such as congenital prosopagnosia, Williams Syndrome, and autism.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Research Project (R01)
Project #
2R01EY022318-06
Application #
9447091
Study Section
Mechanisms of Sensory, Perceptual, and Cognitive Processes Study Section (SPC)
Program Officer
Flanders, Martha C
Project Start
2012-09-01
Project End
2023-02-28
Budget Start
2018-03-01
Budget End
2019-02-28
Support Year
6
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Stanford University
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94304
Weiner, Kevin S; Barnett, Michael A; Witthoft, Nathan et al. (2017) Defining the most probable location of the parahippocampal place area using cortex-based alignment and cross-validation. Neuroimage :
Grill-Spector, Kalanit; Weiner, Kevin S; Kay, Kendrick et al. (2017) The Functional Neuroanatomy of Human Face Perception. Annu Rev Vis Sci 3:167-196
Weiner, Kevin S; Barnett, Michael A; Lorenz, Simon et al. (2017) The Cytoarchitecture of Domain-specific Regions in Human High-level Visual Cortex. Cereb Cortex 27:146-161
Berman, Shai; West, Kathryn L; Does, Mark D et al. (2017) Evaluating g-ratio weighted changes in the corpus callosum as a function of age and sex. Neuroimage :
Gomez, Jesse; Barnett, Michael A; Natu, Vaidehi et al. (2017) Microstructural proliferation in human cortex is coupled with the development of face processing. Science 355:68-71
Golarai, Golijeh; Liberman, Alina; Grill-Spector, Kalanit (2017) Experience Shapes the Development of Neural Substrates of Face Processing in Human Ventral Temporal Cortex. Cereb Cortex 27:1229-1244
Rosenke, Mona; Weiner, Kevin S; Barnett, Michael A et al. (2017) A cross-validated cytoarchitectonic atlas of the human ventral visual stream. Neuroimage :
Deouell, Leon Y; Grill-Spector, Kalanit; Malach, Rafael et al. (2016) Introduction to the special issue on functional selectivity in perceptual and cognitive systems--a tribute to Shlomo Bentin (1946-2012). Neuropsychologia 83:1-4
Natu, Vaidehi S; Barnett, Michael A; Hartley, Jake et al. (2016) Development of Neural Sensitivity to Face Identity Correlates with Perceptual Discriminability. J Neurosci 36:10893-10907
Weiner, Kevin S; Jonas, Jacques; Gomez, Jesse et al. (2016) The Face-Processing Network Is Resilient to Focal Resection of Human Visual Cortex. J Neurosci 36:8425-40

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