Development of Face Perception: Cross-sectional and Longitudinal Investigations

面部感知的发展：横断面和纵向研究

• 批准号: 10376237
• 负责人: Kalanit Grill-Spector
• 金额: $ 50.03万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2024-02-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10376237
• 关键词: 10 year old; Address; Adult; Affect; Age; Anatomy; Behavior; Behavioral; Biological Models; Brain; Child; Childhood; Development; Diffusion Magnetic Resonance Imaging; Disease; Face; Face Processing; Functional Magnetic Resonance Imaging; Funding; Goals; Human; Image; Individual; Investigation; Knowledge; Lead; Link; Longitudinal Studies; Magnetic Resonance; Magnetic Resonance Imaging; Measurement; Measures; Mediating; Methods; Mission; Modeling; Noise; Occipital lobe; Participant; Pattern; Population; Positioning Attribute; Property; Research; Series; Social Interaction; Specificity; Stream; Temporal Lobe; Testing; Tissues; Vision; Visual; Williams Syndrome; age related; autism spectrum disorder; base; developmental disease; developmental prosopagnosia; diffusion weighted; face perception; gray matter; improved; innovation; multimodality; neurodevelopment; neuromechanism; preservation; receptive field; relating to nervous system; response; sample fixation; theories; visual processing; white matter

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.

识别面孔的能力对日常社会交往至关重要，这种能力从儿童时期就开始提高

项目成果

Longitudinal development of category representations in ventral temporal cortex predicts word and face recognition.

• DOI: 10.1038/s41467-023-43146-w
• 发表时间: 2023-12-04
• 期刊: NATURE COMMUNICATIONS
• 影响因子: 16.6
• 作者: Nordt, Marisa;Gomez, Jesse;Natu, Vaidehi S.;Rezai, Alex A.;Finzi, Dawn;Kular, Holly;Grill-Spector, Kalanit
• 通讯作者: Grill-Spector, Kalanit

Development differentially sculpts receptive fields across early and high-level human visual cortex.

• DOI: 10.1038/s41467-018-03166-3
• 发表时间: 2018-02-23
• 期刊: Nature communications
• 影响因子: 16.6
• 作者: Gomez J;Natu V;Jeska B;Barnett M;Grill-Spector K
• 通讯作者: Grill-Spector K

White matter connections of high-level visual areas predict cytoarchitecture better than category-selectivity in childhood, but not adulthood.

在儿童时期，高级视觉区域的白质连接比类别选择性更能预测细胞结构，但在成年期则不然。

• DOI: 10.1093/cercor/bhac221
• 发表时间: 2023
• 期刊: Cerebral cortex (New York, N.Y. : 1991)
• 作者: Kubota,Emily;Grotheer,Mareike;Finzi,Dawn;Natu,VaidehiS;Gomez,Jesse;Grill-Spector,Kalanit
• 通讯作者: Grill-Spector,Kalanit

Cortical recycling in high-level visual cortex during childhood development.

• DOI: 10.1038/s41562-021-01141-5
• 发表时间: 2021-12
• 期刊: Nature human behaviour
• 影响因子: 29.9
• 作者: Nordt M;Gomez J;Natu VS;Rezai AA;Finzi D;Kular H;Grill-Spector K
• 通讯作者: Grill-Spector K

Where is human V4? Predicting the location of hV4 and VO1 from cortical folding.

• DOI: 10.1093/cercor/bht092
• 发表时间: 2014-09
• 期刊: Cerebral cortex
• 影响因子: 3.7
• 作者: Nathan Witthoft;M. Nguyen;G. Golarai;Karen F. LaRocque;A. Liberman;Mary E. Smith;K. Grill-Spector