{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T17:40:08Z","timestamp":1755884408913,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,9,24]],"date-time":"2023-09-24T00:00:00Z","timestamp":1695513600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,9,24]]},"DOI":"10.1145\/3630138.3630539","type":"proceedings-article","created":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T02:04:17Z","timestamp":1705543457000},"page":"1-5","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Classification of Alzheimer??s Disease using combined features of fMRI Brain Network and clinical scales"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-6611-3098","authenticated-orcid":false,"given":"Xia","family":"Xu","sequence":"first","affiliation":[{"name":"Shanghai University of Medicine and Health Sciences, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-4265-4742","authenticated-orcid":false,"given":"Wenjie","family":"Wang","sequence":"additional","affiliation":[{"name":"Shanghai University of Medicine and Health Sciences, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9254-8430","authenticated-orcid":false,"given":"Zengbei","family":"Yuan","sequence":"additional","affiliation":[{"name":"University of Shanghai for Science and Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4293-2028","authenticated-orcid":false,"given":"Xinlin","family":"Li","sequence":"additional","affiliation":[{"name":"University of Shanghai for Science and Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-1343-918X","authenticated-orcid":false,"given":"Tao","family":"Wu","sequence":"additional","affiliation":[{"name":"Shanghai University of Medicine and Health Sciences, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2415-4488","authenticated-orcid":false,"given":"Xufeng","family":"Yao","sequence":"additional","affiliation":[{"name":"Shanghai University of Medicine and Health Sciences, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,1,17]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"s. 2017 Alzheimer's disease facts and figures. Alzheimer's Dementia, 13, 4","author":"Association","year":"2017","unstructured":"Association, A. s. 2017 Alzheimer's disease facts and figures. Alzheimer's Dementia, 13, 4 (2017), 325-373."},{"key":"e_1_3_2_1_2_1","volume-title":"State of the science on mild cognitive impairment (MCI). CNS spectrums, 24, 1","author":"Anderson N. D.","year":"2019","unstructured":"Anderson, N. D. State of the science on mild cognitive impairment (MCI). CNS spectrums, 24, 1 (2019), 78-87."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2010.01.004"},{"key":"e_1_3_2_1_4_1","volume-title":"Functional magnetic resonance imaging reference phantom. Magnetic resonance imaging, 27, 5","author":"Renvall V.","year":"2009","unstructured":"Renvall, V. Functional magnetic resonance imaging reference phantom. Magnetic resonance imaging, 27, 5 (2009), 701-708."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/mds.27115"},{"key":"e_1_3_2_1_6_1","volume-title":"Complex brain networks: graph theoretical analysis of structural and functional systems. Nature reviews neuroscience, 10, 3","author":"Bullmore E.","year":"2009","unstructured":"Bullmore, E. and Sporns, O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nature reviews neuroscience, 10, 3 (2009), 186-198."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-04707-y"},{"key":"e_1_3_2_1_8_1","volume-title":"Abnormal characterization of dynamic functional connectivity in Alzheimer's disease. Neural regeneration research, 17, 9","author":"Zhao C.","year":"2022","unstructured":"Zhao, C., Huang, W.-J., Feng, F., Zhou, B., Yao, H.-X., Guo, Y.-E., Wang, P., Wang, L.-N., Shu, N. and Zhang, X. Abnormal characterization of dynamic functional connectivity in Alzheimer's disease. Neural regeneration research, 17, 9 (2022), 2014."},{"key":"e_1_3_2_1_9_1","volume-title":"s. D. N. Predicting conversion from MCI to AD using resting-state fMRI, graph theoretical approach and SVM. Journal of neuroscience methods, 282","author":"Hojjati S. H.","year":"2017","unstructured":"Hojjati, S. H., Ebrahimzadeh, A., Khazaee, A., Babajani-Feremi, A. and Initiative, A. s. D. N. Predicting conversion from MCI to AD using resting-state fMRI, graph theoretical approach and SVM. Journal of neuroscience methods, 282 (2017), 69-80."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2021.605115"},{"key":"e_1_3_2_1_11_1","volume-title":"Effective and accurate diagnosis of subjective cognitive decline based on functional connection and graph theory view. Frontiers in neuroscience, 14","author":"Xu X.","year":"2020","unstructured":"Xu, X., Li, W., Tao, M., Xie, Z., Gao, X., Yue, L. and Wang, P. Effective and accurate diagnosis of subjective cognitive decline based on functional connection and graph theory view. Frontiers in neuroscience, 14 (2020), 577887."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2022.933660"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-019-09688-2"},{"key":"e_1_3_2_1_14_1","volume-title":"Early diagnosis of Alzheimer's disease based on resting-state brain networks and deep learning","author":"Ju R.","year":"2017","unstructured":"Ju, R., Hu, C. and Li, Q. Early diagnosis of Alzheimer's disease based on resting-state brain networks and deep learning. IEEE\/ACM transactions on computational biology bioinformatics, 16, 1 (2017), 244-257."},{"key":"e_1_3_2_1_15_1","volume-title":"DPARSF: a MATLAB toolbox for\" pipeline\" data analysis of resting-state fMRI. Frontiers in systems neuroscience, 4","author":"Yan C.","year":"2010","unstructured":"Yan, C. and Zang, Y. DPARSF: a MATLAB toolbox for\" pipeline\" data analysis of resting-state fMRI. Frontiers in systems neuroscience, 4 (2010), 1377."},{"key":"e_1_3_2_1_16_1","volume-title":"Inductive representation learning on large graphs. Advances in neural information processing systems, 30","author":"Hamilton W.","year":"2017","unstructured":"Hamilton, W., Ying, Z. and Leskovec, J. Inductive representation learning on large graphs. Advances in neural information processing systems, 30 (2017)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1177\/1073858417702621"},{"key":"e_1_3_2_1_18_1","volume-title":"s. D. N. Abnormal cortical networks in mild cognitive impairment and Alzheimer's disease. PLoS computational biology, 6, 11","author":"Yao Z.","year":"2010","unstructured":"Yao, Z., Zhang, Y., Lin, L., Zhou, Y., Xu, C., Jiang, T. and Initiative, A. s. D. N. Abnormal cortical networks in mild cognitive impairment and Alzheimer's disease. PLoS computational biology, 6, 11 (2010), e1001006."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"e_1_3_2_1_20_1","volume-title":"PMLR","author":"Niepert M.","year":"2016","unstructured":"Niepert, M., Ahmed, M. and Kutzkov, K. Learning convolutional neural networks for graphs. PMLR, City, 2016."},{"key":"e_1_3_2_1_21_1","volume-title":"Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis. Medical image analysis, 63","author":"Jie B.","year":"2020","unstructured":"Jie, B., Liu, M., Lian, C., Shi, F. and Shen, D. Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis. Medical image analysis, 63 (2020), 101709."}],"event":{"name":"PCCNT 2023: 2023 International Conference on Power, Communication, Computing and Networking Technologies","acronym":"PCCNT 2023","location":"Wuhan China"},"container-title":["2023 International Conference on Power Communication Computing and Networking Technologies"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3630138.3630539","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3630138.3630539","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T17:09:15Z","timestamp":1755882555000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3630138.3630539"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,24]]},"references-count":21,"alternative-id":["10.1145\/3630138.3630539","10.1145\/3630138"],"URL":"https:\/\/doi.org\/10.1145\/3630138.3630539","relation":{},"subject":[],"published":{"date-parts":[[2023,9,24]]},"assertion":[{"value":"2024-01-17","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}