dc.contributor.author | Zhu, Yifan | |
dc.contributor.author | Li, Xuesong | |
dc.contributor.author | Sun, Yang | |
dc.contributor.author | Wang, Haixu | |
dc.contributor.author | Guo, Hua | |
dc.contributor.author | Sui, Jie | |
dc.date.accessioned | 2021-08-11T20:30:01Z | |
dc.date.available | 2021-08-11T20:30:01Z | |
dc.date.issued | 2021-08-02 | |
dc.identifier.citation | Zhu , Y , Li , X , Sun , Y , Wang , H , Guo , H & Sui , J 2021 , ' Investigating Neural Substrates of Individual Independence and Interdependence Orientations via Efficiency-based Dynamic Functional Connectivity : A Machine Learning Approach ' , IEEE Transactions on Cognitive and Developmental Systems . https://doi.org/10.1109/TCDS.2021.3101643 | en |
dc.identifier.issn | 2379-8920 | |
dc.identifier.other | PURE: 197972645 | |
dc.identifier.other | PURE UUID: 5c0dc84d-8ed2-4282-a73a-5c0db9147d93 | |
dc.identifier.other | ORCID: /0000-0002-4031-4456/work/98628083 | |
dc.identifier.other | Scopus: 85112637946 | |
dc.identifier.uri | https://hdl.handle.net/2164/16939 | |
dc.description | Fundings: Beihang University and Capital Medical University Advanced Innovation Center for Big DataBased Precision Medicine Plan; 10.13039/501100001809-National Natural Science Foundation of China; 10.13039/501100000275-Leverhulme Trust; | en |
dc.language.iso | eng | |
dc.relation.ispartof | IEEE Transactions on Cognitive and Developmental Systems | en |
dc.rights | 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Final published version can be found at 10.1109/TCDS.2021.3101643 | en |
dc.subject | self-construal | en |
dc.subject | resting state functional connectivity (rsFC) | en |
dc.subject | nodal efficiency | en |
dc.subject | dynamic functional connectivity | en |
dc.subject | BF Psychology | en |
dc.subject.lcc | BF | en |
dc.title | Investigating Neural Substrates of Individual Independence and Interdependence Orientations via Efficiency-based Dynamic Functional Connectivity : A Machine Learning Approach | en |
dc.type | Journal article | en |
dc.contributor.institution | University of Aberdeen.Psychology | en |
dc.description.status | Peer reviewed | en |
dc.description.version | Postprint | en |
dc.identifier.doi | https://doi.org/10.1109/TCDS.2021.3101643 | |