{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,17]],"date-time":"2026-05-17T11:06:30Z","timestamp":1779015990732,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":51,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T00:00:00Z","timestamp":1764201600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82271963"],"award-info":[{"award-number":["82271963"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Natural Science Foundation of China","award":["61936013"],"award-info":[{"award-number":["61936013"]}]},{"name":"National Natural Science Foundation of China","award":["82202118"],"award-info":[{"award-number":["82202118"]}]},{"name":"Beijing Natural Science Foundation","award":["7212051"],"award-info":[{"award-number":["7212051"]}]},{"name":"Beijing Natural Science Foundation","award":["L222097"],"award-info":[{"award-number":["L222097"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,27]]},"DOI":"10.1145\/3794209.3794301","type":"proceedings-article","created":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T04:18:59Z","timestamp":1778559539000},"page":"251-259","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Rich-club Analysis of Functional Brain Network in HIV-associated Asymptomatic Neurocognitive Impairment with Virally Suppressed Homosexual Males"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-5756-7662","authenticated-orcid":false,"given":"Xire","family":"Aili","sequence":"first","affiliation":[{"name":"Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, Beijing, China"},{"name":"Department of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6183-0559","authenticated-orcid":false,"given":"Wei","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8364-6285","authenticated-orcid":false,"given":"Shuai","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Radiology, Qilu Hospital of Shandong University, Jinan, Shandong, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9436-8421","authenticated-orcid":false,"given":"Juming","family":"Ma","sequence":"additional","affiliation":[{"name":"Department of Radiology, Qilu Hospital of Shandong University, Jinan, Shandong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4396-2034","authenticated-orcid":false,"given":"Ruili","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6994-4160","authenticated-orcid":false,"given":"Hongjun","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing, Beijing, China"},{"name":"Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2026,5,11]]},"reference":[{"key":"e_1_3_3_1_1_2","unstructured":"http:\/\/www.unaids.org\/en\/resources\/documents\/2023\/2022_unaids_data. Published January 20 2023."},{"key":"e_1_3_3_1_2_2","first-page":"927","volume":"200","author":"Ellis R.J.","unstructured":"Ellis, R.J., et al., Cerebrospinal fluid HIV RNA originates from both local CNS and systemic sources. Neurology, 2000. 54(4): p. 927-36.","journal-title":"Neurology"},{"key":"e_1_3_3_1_3_2","first-page":"1915","volume":"200","author":"Robertson K.R.","unstructured":"Robertson, K.R., et al., The prevalence and incidence of neurocognitive impairment in the HAART era. Aids, 2007. 21(14): p. 1915-21.","journal-title":"Aids"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1750-3639.1996.tb00775.x"},{"key":"e_1_3_3_1_5_2","first-page":"1789","volume-title":"Neurology","author":"Antinori A.","year":"2007","unstructured":"Antinori, A., et al., Updated research nosology for HIV-associated neurocognitive disorders. Neurology, 2007. 69(18): p. 1789-99."},{"key":"e_1_3_3_1_6_2","first-page":"271","volume":"202","author":"Cysique L.A.","unstructured":"Cysique, L.A., K.B. Casaletto, and R.K. Heaton, Reliably Measuring Cognitive Change in the Era of Chronic HIV Infection and Chronic HIV-Associated Neurocognitive Disorders. Curr Top Behav Neurosci, 2021. 50: p. 271-298.","journal-title":"Associated Neurocognitive Disorders. Curr Top Behav Neurosci"},{"key":"e_1_3_3_1_7_2","first-page":"334","volume":"201","author":"Sacktor N.","unstructured":"Sacktor, N., et al., Prevalence of HIV-associated neurocognitive disorders in the Multicenter AIDS Cohort Study. Neurology, 2016. 86(4): p. 334-40.","journal-title":"Neurology"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2021.118503"},{"key":"e_1_3_3_1_9_2","first-page":"186","volume":"200","author":"Bullmore E.","unstructured":"Bullmore, E. and O. Sporns, Complex brain networks: graph theoretical analysis of structural and functional systems. Nature reviews. Neuroscience, 2009. 10(3): p. 186-198.","journal-title":"Neuroscience"},{"key":"e_1_3_3_1_10_2","first-page":"102590","volume-title":"Ageing Res Rev","author":"Khodadadi Arpanahi S.","year":"2025","unstructured":"Khodadadi Arpanahi, S., S. Hamidpour, and K. Ghasvarian Jahromi, Mapping Alzheimer's\u00a0disease stages toward it's progression: A comprehensive cross-sectional and longitudinal study using resting-state fMRI and graph theory. Ageing Res Rev, 2025. 103: p. 102590."},{"key":"e_1_3_3_1_11_2","first-page":"289","volume":"202","author":"Qiu Y.H.","unstructured":"Qiu, Y.H., et al., Alterations in intrinsic functional networks in Parkinson's disease patients with depression: A resting-state functional magnetic resonance imaging study. CNS Neurosci Ther, 2021. 27(3): p. 289-298.","journal-title":"CNS Neurosci Ther"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-78297-3"},{"key":"e_1_3_3_1_13_2","first-page":"1623","volume":"201","author":"Chaganti J.R.","unstructured":"Chaganti, J.R., et al., Functional Connectivity in Virally Suppressed Patients with HIV-Associated Neurocognitive Disorder: A Resting-State Analysis. AJNR Am J Neuroradiol, 2017. 38(8): p. 1623-1629.","journal-title":"AJNR Am J Neuroradiol"},{"key":"e_1_3_3_1_14_2","first-page":"188","volume":"202","author":"Abidin A.Z.","unstructured":"Abidin, A.Z., et al., Detecting cognitive impairment in HIV-infected individuals using mutual connectivity analysis of resting state functional MRI. J Neurovirol, 2020. 26(2): p. 188-200.","journal-title":"J Neurovirol"},{"key":"e_1_3_3_1_15_2","first-page":"24","volume":"201","author":"Chockanathan U.","unstructured":"Chockanathan, U., et al., Automated diagnosis of HIV-associated neurocognitive disorders using large-scale Granger causality analysis of resting-state functional MRI. Comput Biol Med, 2019. 106: p. 24-30.","journal-title":"Comput Biol Med"},{"key":"e_1_3_3_1_16_2","first-page":"15775","volume":"201","author":"van den Heuvel M.P.","unstructured":"van den Heuvel, M.P. and O. Sporns, Rich-club organization of the human connectome. J Neurosci, 2011. 31(44): p. 15775-86.","journal-title":"J Neurosci"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0001049"},{"key":"e_1_3_3_1_18_2","first-page":"378","volume-title":"Nature","author":"Albert R.","year":"2000","unstructured":"Albert, R., H. Jeong, and A.L. Barabasi, Error and attack tolerance of complex networks. Nature, 2000. 406(6794): p. 378-82."},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1098\/rstb.2013.0531"},{"key":"e_1_3_3_1_20_2","first-page":"438","volume":"201","author":"Collin G.","unstructured":"Collin, G., et al., Impaired rich club connectivity in unaffected siblings of schizophrenia patients. Schizophr Bull, 2014. 40(2): p. 438-48.","journal-title":"Schizophr Bull"},{"key":"e_1_3_3_1_21_2","first-page":"2382","volume-title":"Brain","author":"Crossley N.A.","year":"2014","unstructured":"Crossley, N.A., et al., The hubs of the human connectome are generally implicated in the anatomy of brain disorders. Brain, 2014. 137(Pt 8): p. 2382-95."},{"key":"e_1_3_3_1_22_2","first-page":"757","volume":"201","author":"Brier M.R.","unstructured":"Brier, M.R., et al., Functional connectivity and graph theory in preclinical Alzheimer's disease. Neurobiol Aging, 2014. 35(4): p. 757-68.","journal-title":"Neurobiol Aging"},{"key":"e_1_3_3_1_23_2","first-page":"796","volume":"202","author":"Minosse S.","unstructured":"Minosse, S., et al., Functional brain network reorganization in HIV infection. Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2021. 31(4): p. 796-808.","journal-title":"Journal of neuroimaging : official journal of the American Society of Neuroimaging"},{"key":"e_1_3_3_1_24_2","first-page":"768","volume":"201","author":"Abidin A.Z.","unstructured":"Abidin, A.Z., et al., Alteration of brain network topology in HIV-associated neurocognitive disorder: A novel functional connectivity perspective. Neuroimage Clin, 2018. 17: p. 768-777.","journal-title":"Neuroimage Clin"},{"key":"e_1_3_3_1_25_2","first-page":"159","volume":"201","author":"Gandhi N.S.","unstructured":"Gandhi, N.S., et al., A comparison of performance-based measures of function in HIV-associated neurocognitive disorders. J Neurovirol, 2011. 17(2): p. 159-65.","journal-title":"J Neurovirol"},{"key":"e_1_3_3_1_26_2","first-page":"1","volume":"201","author":"Shi C.","unstructured":"Shi, C., et al., The MATRICS Consensus Cognitive Battery (MCCB): Co-norming and standardization in China. Schizophrenia Research, 2015. 169(1-3): p. 109-115.","journal-title":"Schizophrenia Research"},{"key":"e_1_3_3_1_27_2","first-page":"339","volume":"201","author":"Yan C.G.","unstructured":"Yan, C.G., et al., DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging. Neuroinformatics, 2016. 14(3): p. 339-51.","journal-title":"Neuroinformatics"},{"key":"e_1_3_3_1_28_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12879-025-10780-2"},{"key":"e_1_3_3_1_29_2","first-page":"183","volume":"201","author":"Yan C.G.","unstructured":"Yan, C.G., et al., A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics. Neuroimage, 2013. 76: p. 183-201.","journal-title":"Neuroimage"},{"key":"e_1_3_3_1_30_2","first-page":"213","volume":"201","author":"Liu T.T.","unstructured":"Liu, T.T., A. Nalci, and M. Falahpour, The global signal in fMRI: Nuisance or Information? Neuroimage, 2017. 150: p. 213-229.","journal-title":"Neuroimage"},{"key":"e_1_3_3_1_31_2","first-page":"169","volume":"201","author":"Murphy K.","unstructured":"Murphy, K. and M.D. Fox, Towards a consensus regarding global signal regression for resting state functional connectivity MRI. Neuroimage, 2017. 154: p. 169-173.","journal-title":"MRI. Neuroimage"},{"key":"e_1_3_3_1_32_2","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2015.00386"},{"key":"e_1_3_3_1_33_2","first-page":"273","volume":"200","author":"Tzourio-Mazoyer N.","unstructured":"Tzourio-Mazoyer, N., et al., Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage, 2002. 15(1): p. 273-89.","journal-title":"Neuroimage"},{"key":"e_1_3_3_1_34_2","first-page":"11372","volume-title":"Proc Natl Acad Sci U S A","author":"van den Heuvel M.P.","year":"2012","unstructured":"van den Heuvel, M.P., et al., High-cost, high-capacity backbone for global brain communication. Proc Natl Acad Sci U S A, 2012. 109(28): p. 11372-7."},{"key":"e_1_3_3_1_35_2","first-page":"783","volume":"201","author":"van den Heuvel M.P.","unstructured":"van den Heuvel, M.P., et al., Abnormal rich club organization and functional brain dynamics in schizophrenia. JAMA Psychiatry, 2013. 70(8): p. 783-92.","journal-title":"JAMA Psychiatry"},{"key":"e_1_3_3_1_36_2","first-page":"1059","volume":"201","author":"Rubinov M.","unstructured":"Rubinov, M. and O. Sporns, Complex network measures of brain connectivity: uses and interpretations. Neuroimage, 2010. 52(3): p. 1059-69.","journal-title":"Neuroimage"},{"key":"e_1_3_3_1_37_2","first-page":"3087","volume":"201","author":"Daianu M.","unstructured":"Daianu, M., et al., Rich club analysis in the Alzheimer's disease connectome reveals a relatively undisturbed structural core network. Hum Brain Mapp, 2015. 36(8): p. 3087-103.","journal-title":"Hum Brain Mapp"},{"key":"e_1_3_3_1_38_2","volume-title":"Rich-Club Analysis of Structural Brain Network Alterations in HIV Positive Patients With Fully Suppressed Plasma Viral Loads. Front Neurol","author":"Aili X.","year":"2022","unstructured":"Aili, X., et al., Rich-Club Analysis of Structural Brain Network Alterations in HIV Positive Patients With Fully Suppressed Plasma Viral Loads. Front Neurol, 2022. 13: p. 825177."},{"key":"e_1_3_3_1_39_2","first-page":"3932","volume":"202","author":"Li F.","unstructured":"Li, F., et al., Rich-club reorganization of functional brain networks in acute mild traumatic brain injury with cognitive impairment. Quantitative Imaging in Medicine and Surgery, 2022. 12(7): p. 3932-3946.","journal-title":"Quantitative Imaging in Medicine and Surgery"},{"key":"e_1_3_3_1_40_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0068910"},{"key":"e_1_3_3_1_41_2","first-page":"e46497","volume-title":"PLoS One","author":"Harriger L.","year":"2012","unstructured":"Harriger, L., M.P. van den Heuvel, and O. Sporns, Rich club organization of macaque cerebral cortex and its role in network communication. PLoS One, 2012. 7(9): p. e46497."},{"key":"e_1_3_3_1_42_2","first-page":"2258","volume":"201","author":"Collin G.","unstructured":"Collin, G., et al., Structural and functional aspects relating to cost and benefit of rich club organization in the human cerebral cortex. Cereb Cortex, 2014. 24(9): p. 2258-67.","journal-title":"Cereb Cortex"},{"key":"e_1_3_3_1_43_2","first-page":"72","volume":"201","author":"Sanford R.","unstructured":"Sanford, R., et al., Association of Brain Structure Changes and Cognitive Function With Combination Antiretroviral Therapy in HIV-Positive Individuals. JAMA Neurol, 2018. 75(1): p. 72-79.","journal-title":"JAMA Neurol"},{"key":"e_1_3_3_1_44_2","first-page":"357","volume-title":"AIDS","author":"Smurzynski M.","year":"2011","unstructured":"Smurzynski, M., et al., Effects of central nervous system antiretroviral penetration on cognitive functioning in the ALLRT cohort. AIDS, 2011. 25(3): p. 357-65."},{"key":"e_1_3_3_1_45_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2020.102188"},{"key":"e_1_3_3_1_46_2","volume-title":"NeuroImage: Clinical","author":"Wang R.","year":"2020","unstructured":"Wang, R., et al., Topological reorganization of brain functional networks in patients with mitochondrial encephalomyopathy with lactic acidosis and stroke\u2010like episodes. NeuroImage: Clinical, 2020. 28."},{"key":"e_1_3_3_1_47_2","doi-asserted-by":"publisher","DOI":"10.3389\/fnagi.2024.1467054"},{"key":"e_1_3_3_1_48_2","first-page":"3237","volume":"201","author":"Yan T.","unstructured":"Yan, T., et al., Rich club disturbances of the human connectome from subjective cognitive decline to Alzheimer's disease. Theranostics, 2018. 8(12): p. 3237-3255.","journal-title":"Theranostics"},{"key":"e_1_3_3_1_49_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.82.046117"},{"key":"e_1_3_3_1_50_2","first-page":"868","volume":"201","author":"Daianu M.","unstructured":"Daianu, M., et al., Disrupted rich club network in behavioral variant frontotemporal dementia and early-onset Alzheimer's disease. Hum Brain Mapp, 2016. 37(3): p. 868-83.","journal-title":"Hum Brain Mapp"},{"key":"e_1_3_3_1_51_2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1220826110"}],"event":{"name":"ICBBE 2025: 2025 12th International Conference on Biomedical and Bioinformatics Engineering","location":"Tokyo Japan","acronym":"ICBBE 2025"},"container-title":["Proceedings of the 2025 12th International Conference on Biomedical and Bioinformatics Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3794209.3794301","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,17]],"date-time":"2026-05-17T10:19:19Z","timestamp":1779013159000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3794209.3794301"}},"subtitle":["Rich-club analysis of HIV-associated neurocognitive disorders (HAND)"],"short-title":[],"issued":{"date-parts":[[2025,11,27]]},"references-count":51,"alternative-id":["10.1145\/3794209.3794301","10.1145\/3794209"],"URL":"https:\/\/doi.org\/10.1145\/3794209.3794301","relation":{},"subject":[],"published":{"date-parts":[[2025,11,27]]},"assertion":[{"value":"2026-05-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}