Work

Role of Data-Driven Regional Growth Model in Shaping Brain Folding Patterns

Year: 2024

Type: preprint

Source: SSRN Electronic Journal

DOI: 10.2139/ssrn.4948238

Authors: Jixin Hou, Zhengwang Wu, Xianyan Chen, Li Wang, Dajiang Zhu, Tianming Liu, Gang Li, Xianqiao Wang

Institutions: University of Georgia, University of North Carolina at Chapel Hill, The University of Texas at Arlington

Language: English

Topic: Fetal and Pediatric Neurological Disorders

Subfield: Pediatrics, Perinatology and Child Health

Field: Medicine

Domain: Health Sciences

Open Access status: green

Funders: National Science Foundation, European Commission, National Institutes of Health, National Institute on Aging, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Institute of Environmental Health Sciences, FP7 Ideas: European Research Council

Awards: Harmonizing and Archiving of Large-scale Infant Neuroimaging Data, Developing an Individualized Deep Connectome Framework for ADRD Analysis, G3207356259, Parcellating Infant Cerebral Cortex based on Developmental Patterns of Multimodal MRI, UNC/UMN Baby Connectome Project, G4793289069, G5537678747, CRCNS Research Proposal: Exploring the Mechanism of 3-Hinge Gyral Formation and its Role in Brain Networks, G878044590, G896728979, Early Life Phthalate Exposures in Relation to Structural and Functional Brain Development, SCH: Using Data-Driven Computational Biomechanics to Disentangle Brain Structural Commonality, Variability, and Abnormality in ASD, Mapping Trajectories of Alzheimer's Progression via Personalized Brain Anchor-nodes, The Developing Human Connectome Project

OpenAlex ID: W4402428672

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Cited by: 1

Related to: 10