{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Li K"],"funding":["NIA NIH HHS","the Fundamental Research Funds for the Central Universities","Zhejiang Provincial Natural Science Foundation of China","Young Research Talents Fund, Chinese Medicine Science, and Technology Project of Zhejiang Province","Zhejiang Medicine and Health Science and Technology Program","National Key Research and Development Program of China"],"pagination":["27"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6196458"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["7"],"pubmed_abstract":["<h4>Background</h4>Individuals with subjective memory complaints (SMC) feature a higher risk of cognitive decline and clinical progression of Alzheimer's disease (AD). However, the pathological mechanism underlying SMC remains unclear. We aimed to assess the intrinsic connectivity network and its relationship with AD-related pathologies in SMC individuals.<h4>Methods</h4>We included 44 SMC individuals and 40 normal controls who underwent both resting-state functional MRI and positron emission tomography (PET). Based on graph theory approaches, we detected local and global functional connectivity across the whole brain by using degree centrality (DC) and eigenvector centrality (EC) respectively. Additionally, we analyzed amyloid deposition and tauopathy via florbetapir-PET imaging and cereb"],"journal":["Translational neurodegeneration"],"pubmed_title":["Aberrant functional connectivity network in subjective memory complaint individuals relates to pathological biomarkers."],"pmcid":["PMC6196458"],"funding_grant_id":["2017XZZX001-01","2018ZQ035","2018KY418","LZ14H180001","U01 AG024904","2016YFC1306600"],"pubmed_authors":["Jiaerken Y","Zhang MM","Zeng Q","Shen Z","Wang C","Luo X","Li K","Xu X","Xu J","Huang P","Zhou J","Alzheimer’s Disease Neuroimaging Initiative"],"additional_accession":[]},"is_claimable":false,"name":"Aberrant functional connectivity network in subjective memory complaint individuals relates to pathological biomarkers.","description":"<h4>Background</h4>Individuals with subjective memory complaints (SMC) feature a higher risk of cognitive decline and clinical progression of Alzheimer's disease (AD). However, the pathological mechanism underlying SMC remains unclear. We aimed to assess the intrinsic connectivity network and its relationship with AD-related pathologies in SMC individuals.<h4>Methods</h4>We included 44 SMC individuals and 40 normal controls who underwent both resting-state functional MRI and positron emission tomography (PET). Based on graph theory approaches, we detected local and global functional connectivity across the whole brain by using degree centrality (DC) and eigenvector centrality (EC) respectively. Additionally, we analyzed amyloid deposition and tauopathy via florbetapir-PET imaging and cereb","dates":{"release":"2018-01-01T00:00:00Z","publication":"2018","modification":"2025-04-21T18:12:43.664Z","creation":"2019-03-27T00:05:19Z"},"accession":"S-EPMC6196458","cross_references":{"pubmed":["30377523"],"doi":["10.1186/s40035-018-0130-z"]}}