Hybrid multivariate pattern analysis combined with extreme learning machine for Alzheimer’s dementia diagnosis using multi-measure rs-fMRI spatial patterns

• Duc Thanh Nguyen,

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Department of Biomedical Science and Engineering (BMSE), Institute of Integrated Technology (IIT), Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea

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• Seungjun Ryu,

  Roles Conceptualization, Methodology

  Affiliation Department of Biomedical Science and Engineering (BMSE), Institute of Integrated Technology (IIT), Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea

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• Muhammad Naveed Iqbal Qureshi,

  Roles Conceptualization, Methodology

  Affiliations Translational Neuroimaging Laboratory, The McGill University Research Center for Studies in Aging (MCSA), McGill University, Montreal, Canada, Alzheimer’s Disease Research Unit, Douglas Mental Health University Institute, McGill University, Montreal, Canada, Department of Psychiatry, McGill University, Montreal, Canada, Montreal Neurological Institute and Hospital, Montreal, Canada

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• Min Choi,

  Roles Formal analysis

  Affiliation Department of Biomedical Science and Engineering (BMSE), Institute of Integrated Technology (IIT), Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea

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• Kun Ho Lee,

  Roles Data curation

  Affiliations National Research Center for Dementia, Chosun University, Gwangju, Republic of Korea, Department of Biomedical Science, Chosun University, Gwangju, Republic of Korea

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• Boreom Lee

  Roles Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Visualization, Writing – review & editing

  * E-mail: leebr@gist.ac.kr

  Affiliation Department of Biomedical Science and Engineering (BMSE), Institute of Integrated Technology (IIT), Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea

  http://orcid.org/0000-0002-7233-5833

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