Integrating Multimodal Neuroimaging and Genetics: A Structurally-Linked Sparse Canonical Correlation Analysis Approach

Integrating Multimodal Neuroimaging and Genetics: A Structurally-Linked Sparse Canonical Correlation Analysis Approach

Neuroimaging genetics represents a multivariate approach aimed at elucidating the intricate relationships between high-dimensional genetic variations and neuroimaging data. Predominantly, existing methodologies revolve around Sparse Canonical Correlation Analysis (SCCA), a framework we expand to 1)...

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Bibliographic Details
Main Authors: Jiwon Chung, Sunghun Kim, Ji Hye Won, Hyunjin Park
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
fMRI
human connectome project
neuroimaging genetics
sparse canonical correlation
T1 MRI.
Online Access:https://ieeexplore.ieee.org/document/10684222/
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