Non-Oscillatory Connectivity Approach for Classification of Autism Spectrum Disorder Subtypes Using Resting-State fMRI
Resting-state functional magnetic resonance imaging (rs-fMRI) is an efficient tool to measure brain connectivity and it can reveal patterns that distinguish autism spectrum disorder (ASD) from normal controls (NC). It is established that the fractal nature of neuroimaging signals will affect the est...
| Main Authors: | Sadiq, A., Al-Hiyali, M.I., Yahya, N., Tang, T.B., Khan, D.M. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.28986 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2022
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123711712&doi=10.1109%2fACCESS.2022.3146719&partnerID=40&md5=185ec37f2f4033372ea0995cf3d5d302 http://eprints.utp.edu.my/28986/ |
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