Identifying the Relationship Structure Among Multiple Datasets Using Independent Vector Analysis: Application to Multi-Task fMRI Data

Identifying the Relationship Structure Among Multiple Datasets Using Independent Vector Analysis: Application to Multi-Task fMRI Data

Identifying relationships among multiple datasets is an effective way to summarize information and has been growing in importance. In this paper, we propose a robust 3-step method for identifying the relationship structure among multiple datasets based on Independent Vector Analysis (IVA) and bootst...

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Hlavní autoři: Isabell Lehmann, Tanuj Hasija, Ben Gabrielson, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Tulay Adali
Médium: Článek
Jazyk:English
Vydáno: IEEE 2024-01-01
Edice:IEEE Access
Témata:
Blind source separation
bootstrap
data-driven
fMRI
independent vector analysis
relationship structure
On-line přístup:https://ieeexplore.ieee.org/document/10614132/

Internet

https://ieeexplore.ieee.org/document/10614132/

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