Three layered sparse dictionary learning algorithm for enhancing the subject wise segregation of brain networks

Independent component analysis (ICA) and dictionary learning (DL) are the most successful blind source separation (BSS) methods for functional magnetic resonance imaging (fMRI) data analysis. However, ICA to higher and DL to lower extent may suffer from performance degradation by the presence of ano...

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Bibliographic Details
Published in:	Scientific reports Vol. 14; no. 1; pp. 19070 - 18
Main Authors:	Khalid, Muhammad Usman, Nauman, Malik Muhammad, Akram, Sheeraz, Ali, Kamran
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 17.08.2024 Nature Publishing Group Nature Portfolio
Subjects:	631/114 631/114/116 631/114/1564 631/114/2415 639/705 Algorithms Brain - diagnostic imaging Brain - physiology Brain Mapping - methods Decomposition Dictionaries Functional magnetic resonance imaging Humanities and Social Sciences Humans Image Processing, Computer-Assisted - methods Information processing Learning Machine Learning Magnetic resonance imaging Magnetic Resonance Imaging - methods multidisciplinary Nerve Net - diagnostic imaging Nerve Net - physiology Neuroimaging Science Science (multidisciplinary)
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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