{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T01:15:43Z","timestamp":1792113343348,"version":"4.4.0"},"reference-count":34,"publisher":"Oxford University Press (OUP)","issue":"9","license":[{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"name":"Scientific Research Subjects of Shanghai Universal Medical Imaging Technology","award":["UV2024M04"],"award-info":[{"award-number":["UV2024M04"]}]},{"name":"Scientific Research Subjects of Shanghai Universal Medical Imaging Technology","award":["UV2023Z01"],"award-info":[{"award-number":["UV2023Z01"]}]},{"name":"Scientific Research Subjects of Shanghai Universal Medical Imaging Technology","award":["UV2022M06"],"award-info":[{"award-number":["UV2022M06"]}]},{"name":"Scientific Research Subjects of Shanghai Universal Medical Imaging Technology","award":["UV2021Z01"],"award-info":[{"award-number":["UV2021Z01"]}]},{"name":"Group Building Scientific Innovation Project","award":["CXQT21021"],"award-info":[{"award-number":["CXQT21021"]}]},{"name":"Joint Training Base Construction Project for Graduate Students in Chongqing","award":["JDLHPYJD2021016"],"award-info":[{"award-number":["JDLHPYJD2021016"]}]},{"name":"Research project of Shanghai Municipal Health Commission","award":["2022JC017"],"award-info":[{"award-number":["2022JC017"]}]},{"name":"Research project of Shanghai Municipal Health Commission","award":["20224Y0340"],"award-info":[{"award-number":["20224Y0340"]}]},{"name":"Shanghai Committee of Science and Technology Project","award":["21Y11906100"],"award-info":[{"award-number":["21Y11906100"]}]},{"name":"National Key Clinical Specialty Scientific Research Project","award":["Z2023004"],"award-info":[{"award-number":["Z2023004"]}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2022\u00a0M723561"],"award-info":[{"award-number":["2022\u00a0M723561"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Clinical Research Foundation of the National Clinical Research Center for Geriatric Diseases","award":["2023LNJJ16"],"award-info":[{"award-number":["2023LNJJ16"]}]},{"name":"Hunan Provincial Science Fund for Distinguished Young Scholars","award":["2024JJ2094"],"award-info":[{"award-number":["2024JJ2094"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81801740"],"award-info":[{"award-number":["81801740"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,9,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>The diagnosis of Parkinson\u2019s Disease (PD) presents ongoing challenges. Advances in imaging techniques like 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) have highlighted metabolic alterations in PD, yet the dynamic network interactions within the metabolic connectome remain elusive. To this end, we examined a dataset comprising 49 PD patients and 49 healthy controls. By employing a personalized metabolic connectome approach, we assessed both within- and between-network connectivities using Standard Uptake Value (SUV) and Jensen-Shannon Divergence Similarity Estimation (JSSE). A random forest algorithm was utilized to pinpoint key neuroimaging features differentiating PD from healthy states. Specifically, the results revealed heightened internetwork connectivity in PD, specifically within the somatomotor (SMN) and frontoparietal (FPN) networks, persisting after multiple comparison corrections (P\u2009&amp;lt;\u20090.05, Bonferroni adjusted for 10% and 20% sparsity). This altered connectivity effectively distinguished PD patients from healthy individuals. Notably, this study utilizes 18F-FDG PET imaging to map individual metabolic networks, revealing enhanced connectivity in the SMN and FPN among PD patients. This enhanced connectivity may serve as a promising imaging biomarker, offering a valuable asset for early PD detection.<\/jats:p>","DOI":"10.1093\/cercor\/bhae355","type":"journal-article","created":{"date-parts":[[2024,9,27]],"date-time":"2024-09-27T10:07:47Z","timestamp":1727431667000},"source":"Crossref","is-referenced-by-count":8,"title":["Metabolic network connectivity disturbances in Parkinson's disease: a novel imaging biomarker"],"prefix":"10.1093","volume":"34","author":[{"given":"Bei","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Nuclear Medicine , Xiangya Hospital, , No. 172, Tongzipo Road, Changsha City, Hunan Province, Changsha 410008 ,","place":["China"]},{"name":"Central South University , Xiangya Hospital, , No. 172, Tongzipo Road, Changsha City, Hunan Province, Changsha 410008 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiran","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Mathematics and Statistics, Chongqing Jiaotong University , Xuefu Road No. 66, Chongqing 400074 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7635-1518","authenticated-orcid":false,"given":"Liling","family":"Peng","sequence":"additional","affiliation":[{"name":"Department of PET\/MR, Shanghai Universal Medical Imaging Diagnostic Center , Guilin Road No. 406, Shanghai 200233","place":["China"]},{"name":"Hubei Province Key Laboratory of Molecular Imaging , Jiefang Road No. 1277, Wuhan 430022","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shiqi","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Mathematics and Statistics, Chongqing Jiaotong University , Xuefu Road No. 66, Chongqing 400074 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongxiang","family":"Tang","sequence":"additional","affiliation":[{"name":"Department of Nuclear Medicine , Xiangya Hospital, , No. 172, Tongzipo Road, Changsha City, Hunan Province, Changsha 410008 ,","place":["China"]},{"name":"Central South University , Xiangya Hospital, , No. 172, Tongzipo Road, Changsha City, Hunan Province, Changsha 410008 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Gao","sequence":"additional","affiliation":[{"name":"Department of PET\/MR, Shanghai Universal Medical Imaging Diagnostic Center , Guilin Road No. 406, Shanghai 200233","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2024,9,27]]},"reference":[{"key":"2024092710074322900_ref1","doi-asserted-by":"publisher","first-page":"e17","DOI":"10.1371\/journal.pcbi.0030017","article-title":"Efficiency and cost of economical brain functional networks","volume":"3","author":"Achard","year":"2007","journal-title":"PLoS Comput Biol"},{"key":"2024092710074322900_ref2","doi-asserted-by":"publisher","first-page":"109985","DOI":"10.1016\/j.ejrad.2021.109985","article-title":"Detection of visual and frontoparietal network perfusion deficits in Parkinson\u2019s disease dementia","volume":"144","author":"Azamat","year":"2021","journal-title":"Eur J Radiol"},{"key":"2024092710074322900_ref3","doi-asserted-by":"publisher","first-page":"1404","DOI":"10.1016\/j.neuroimage.2011.08.044","article-title":"Test\u2013retest reliability of resting-state connectivity network characteristics using fMRI and graph theoretical measures","volume":"59","author":"Braun","year":"2012","journal-title":"NeuroImage"},{"key":"2024092710074322900_ref4","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1093\/brain\/awg033","article-title":"Pharmacologically modulated fMRI---cortical responsiveness to levodopa in drug-naive hemiparkinsonian patients","volume":"126","author":"Buhmann","year":"2003","journal-title":"Brain"},{"key":"2024092710074322900_ref5","doi-asserted-by":"publisher","first-page":"110714","DOI":"10.1016\/j.brainresbull.2023.110714","article-title":"Altered morphological connectivity mediated white matter hyperintensity-related cognitive impairment","volume":"202","author":"Chen","year":"2023","journal-title":"Brain Res Bull"},{"key":"2024092710074322900_ref6","doi-asserted-by":"publisher","first-page":"824","DOI":"10.1002\/jnr.10079","article-title":"Glucose and lactate metabolism during brain activation","volume":"66","author":"Dienel","year":"2001","journal-title":"J Neurosci Res"},{"key":"2024092710074322900_ref7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s40035-020-00223-0","article-title":"Parkinson\u2019s disease and translational research","volume":"9","author":"Dinter","year":"2020","journal-title":"Translational Neurodegeneration"},{"key":"2024092710074322900_ref8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v021.i07","article-title":"Ks: kernel density estimation and kernel discriminant analysis for multivariate data in R","volume":"21","author":"Duong","year":"2007","journal-title":"J Stat Softw"},{"issue":"10","key":"2024092710074322900_ref9","doi-asserted-by":"publisher","first-page":"548","DOI":"10.1016\/j.tins.2009.06.003","article-title":"Metabolic brain networks in neurodegenerative disorders: a functional imaging approach","volume":"32","author":"Eidelberg","year":"2009","journal-title":"Trends Neurosci"},{"key":"2024092710074322900_ref10","doi-asserted-by":"publisher","first-page":"344","DOI":"10.3389\/fnins.2020.00344","article-title":"A novel individual metabolic brain network for 18F-FDG PET imaging","volume":"14","author":"Huang","year":"2020","journal-title":"Front Neurosci"},{"key":"2024092710074322900_ref11","doi-asserted-by":"publisher","first-page":"894","DOI":"10.2337\/db21-0600","article-title":"Alteration of the individual metabolic network of the brain based on Jensen-Shannon divergence similarity estimation in elderly patients with type 2 diabetes mellitus","volume":"71","author":"Li","year":"2022","journal-title":"Diabetes"},{"key":"2024092710074322900_ref12","doi-asserted-by":"publisher","first-page":"e305","DOI":"10.1002\/mco2.305","article-title":"The reconfiguration pattern of individual brain metabolic connectome for Parkinson's disease identification","volume":"4","author":"Li","year":"2023","journal-title":"MedComm"},{"key":"2024092710074322900_ref13","doi-asserted-by":"publisher","first-page":"430","DOI":"10.1007\/s11682-016-9524-7","article-title":"Altered modular organization of intrinsic brain functional networks in patients with Parkinson\u2019s disease","volume":"11","author":"Ma","year":"2017","journal-title":"Brain imaging and behavior"},{"key":"2024092710074322900_ref14","doi-asserted-by":"publisher","first-page":"572","DOI":"10.1016\/j.nicl.2018.08.006","article-title":"FDG PET Parkinson\u2019s disease-related pattern as a biomarker for clinical trials in early stage disease","volume":"20","author":"Matthews","year":"2018","journal-title":"NeuroImage: Clinical"},{"key":"2024092710074322900_ref15","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1186\/s10020-021-00327-x","article-title":"Circuit imaging biomarkers in preclinical and prodromal Parkinson's disease","volume":"27","author":"Meles","year":"2021","journal-title":"Mol Med"},{"issue":"12","key":"2024092710074322900_ref16","doi-asserted-by":"publisher","first-page":"1888","DOI":"10.2967\/jnumed.116.186403","article-title":"18F-FDG PET in parkinsonism: differential diagnosis and evaluation of cognitive impairment","volume":"58","author":"Meyer","year":"2017","journal-title":"J Nucl Med"},{"key":"2024092710074322900_ref17","doi-asserted-by":"publisher","first-page":"964874","DOI":"10.3389\/fnagi.2022.964874","article-title":"Alternation of the rich-club organization of individual brain metabolic networks in Parkinson\u2019s disease","volume":"14","author":"Peng","year":"2022","journal-title":"Front Aging Neurosci"},{"issue":"1387","key":"2024092710074322900_ref18","doi-asserted-by":"publisher","first-page":"1261","DOI":"10.1098\/rstb.1999.0478","article-title":"Statistical limitations in functional neuroimaging II. Signal detection and statistical inference","volume":"354","author":"Petersson","year":"1999","journal-title":"Philos Trans R Soc Lond Ser B Biol Sci"},{"key":"2024092710074322900_ref19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/nrdp.2017.13","article-title":"Parkinson disease","volume":"3","author":"Poewe","year":"2017","journal-title":"Nat Rev Dis Prim"},{"issue":"12","key":"2024092710074322900_ref20","doi-asserted-by":"publisher","first-page":"1591","DOI":"10.1002\/mds.26424","article-title":"MDS clinical diagnostic criteria for Parkinson's disease","volume":"30","author":"Postuma","year":"2015","journal-title":"Mov Disord"},{"key":"2024092710074322900_ref21","doi-asserted-by":"publisher","DOI":"10.1093\/acprof:oso\/9780195393484.003.0015","article-title":"Dopaminergic imaging in Parkinson\u2019s disease: SPECT","volume":"10","author":"Scherfler","year":"2011","journal-title":"Imaging in Parkinson's Disease"},{"key":"2024092710074322900_ref22","doi-asserted-by":"crossref","first-page":"180","DOI":"10.3389\/fneur.2014.00180","article-title":"Sensorimotor connectivity in Parkinson\u2019s disease: the role of functional neuroimaging","volume":"5","author":"Tessitore","year":"2014","journal-title":"Front Neurol"},{"key":"2024092710074322900_ref23","doi-asserted-by":"publisher","first-page":"507","DOI":"10.1007\/s00234-017-1821-3","article-title":"Abnormal metabolic brain network associated with Parkinson\u2019s disease: replication on a new European sample","volume":"59","author":"Tom\u0161e","year":"2017","journal-title":"Neuroradiology"},{"key":"2024092710074322900_ref24","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1038\/s41398-018-0162-2","article-title":"NMDA antagonists for treating the non-motor symptoms in Parkinson\u2019s disease","volume":"8","author":"Vanle","year":"2018","journal-title":"Transl Psychiatry"},{"issue":"10","key":"2024092710074322900_ref25","doi-asserted-by":"publisher","first-page":"620","DOI":"10.1038\/s41583-023-00731-8","article-title":"Connectome-based modelling of neurodegenerative diseases: towards precision medicine and mechanistic insight","volume":"24","author":"Vogel","year":"2023","journal-title":"Nat Rev Neurosci"},{"key":"2024092710074322900_ref26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2020\/2825037","article-title":"A novel metabolic connectome method to predict progression to mild cognitive impairment","volume":"2020","author":"Wang","year":"2020","journal-title":"Behav Neurol"},{"key":"2024092710074322900_ref27","doi-asserted-by":"crossref","first-page":"120450","DOI":"10.1016\/j.neuroimage.2023.120450","article-title":"Optimization of structural connectomes and scaled patterns of structural-functional decoupling in Parkinson's disease","volume":"284","author":"Wang","year":"2023","journal-title":"NeuroImage"},{"key":"2024092710074322900_ref28","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1016\/j.neulet.2009.05.046","article-title":"Changes of functional connectivity of the motor network in the resting state in Parkinson's disease","volume":"460","author":"Wu","year":"2009","journal-title":"Neurosci Lett"},{"issue":"12","key":"2024092710074322900_ref29","doi-asserted-by":"publisher","first-page":"4652","DOI":"10.1002\/hbm.24311","article-title":"Clinical characteristics of cognitive impairment in patients with Parkinson's disease and its related pattern in 18F-FDG PET imaging","volume":"39","author":"Wu","year":"2018","journal-title":"Hum Brain Mapp"},{"key":"2024092710074322900_ref30","doi-asserted-by":"publisher","first-page":"bhad450","DOI":"10.1093\/cercor\/bhad450","article-title":"Topological properties analysis and identification of mild cognitive impairment based on individual morphological brain network connectome","volume":"34","author":"Xu","year":"2024","journal-title":"Cereb Cortex"},{"key":"2024092710074322900_ref31","doi-asserted-by":"publisher","first-page":"bhad477","DOI":"10.1093\/cercor\/bhad477","article-title":"Towards an accurate autism spectrum disorder diagnosis: multiple connectome views from fMRI data","volume":"34","author":"Yang","year":"2024","journal-title":"Cereb Cortex"},{"key":"2024092710074322900_ref32","article-title":"The organization of the human cerebral cortex estimated by intrinsic functional connectivity","author":"Yeo","year":"2011","journal-title":"J Neurophysiol"},{"key":"2024092710074322900_ref33","doi-asserted-by":"publisher","first-page":"783634","DOI":"10.3389\/fnagi.2022.783634","article-title":"Altered intra-and inter-network connectivity in drug-Na\u00efve patients with early Parkinson\u2019s disease","volume":"14","author":"Zeng","year":"2022","journal-title":"Front Aging Neurosci"},{"key":"2024092710074322900_ref34","doi-asserted-by":"publisher","first-page":"bhae064","DOI":"10.1093\/cercor\/bhae064","article-title":"Multipattern graph convolutional network-based autism spectrum disorder identification","volume":"34","author":"Zhou","year":"2024","journal-title":"Cereb Cortex"}],"container-title":["Cerebral Cortex"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/cercor\/article-pdf\/34\/9\/bhae355\/59363157\/bhae355.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/cercor\/article-pdf\/34\/9\/bhae355\/59363157\/bhae355.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,27]],"date-time":"2024-09-27T10:08:03Z","timestamp":1727431683000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/cercor\/article\/doi\/10.1093\/cercor\/bhae355\/7778333"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9]]},"references-count":34,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2024,9,3]]}},"URL":"https:\/\/doi.org\/10.1093\/cercor\/bhae355","relation":{},"ISSN":["1047-3211","1460-2199"],"issn-type":[{"value":"1047-3211","type":"print"},{"value":"1460-2199","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2024,9]]},"published":{"date-parts":[[2024,9]]},"article-number":"bhae355"}}