Qiong-Ge Li, Yi Xing, Yi Shan, Ya-Yan Yin, Yi Tang, Jie Lu
{"title":"Distance-dependent Functional Connectivity Strength Analysis Using Resting-State fMRI: Application to Vascular Cognitive Impairment, No Dementia.","authors":"Qiong-Ge Li, Yi Xing, Yi Shan, Ya-Yan Yin, Yi Tang, Jie Lu","doi":"10.1177/15333175261491804","DOIUrl":null,"url":null,"abstract":"<p><p>We present a resting-state fMRI-based protocol for quantifying anatomical distance-dependent functional connectivity strength (FCS) and demonstrate its application in vascular cognitive impairment, no dementia (VCIND). Resting-state fMRI data from VCIND patients and demographically matched normal controls were analyzed using voxel-wise FCS across six anatomical distance intervals to characterize short-, medium-, and long-range functional connectivity. Network-level analyses were also performed to identify large-scale network involvement. The results reveal a hierarchical distance-dependent organization of functional connectivity, with short-range connectivity concentrated in primary sensory systems and long-range connectivity increasingly involving higher-order association networks. In VCIND, significant alterations were observed particularly within the frontoparietal network, suggesting compensatory network reorganization associated with cognitive performance. These distance-dependent FCS alterations may serve as potential neuroimaging markers for early identification and risk stratification of VCIND and may also support longitudinal monitoring of functional network changes.</p>","PeriodicalId":93865,"journal":{"name":"American journal of Alzheimer's disease and other dementias","volume":"41 ","pages":"15333175261491804"},"PeriodicalIF":2.7000,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of Alzheimer's disease and other dementias","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/15333175261491804","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/9/18 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We present a resting-state fMRI-based protocol for quantifying anatomical distance-dependent functional connectivity strength (FCS) and demonstrate its application in vascular cognitive impairment, no dementia (VCIND). Resting-state fMRI data from VCIND patients and demographically matched normal controls were analyzed using voxel-wise FCS across six anatomical distance intervals to characterize short-, medium-, and long-range functional connectivity. Network-level analyses were also performed to identify large-scale network involvement. The results reveal a hierarchical distance-dependent organization of functional connectivity, with short-range connectivity concentrated in primary sensory systems and long-range connectivity increasingly involving higher-order association networks. In VCIND, significant alterations were observed particularly within the frontoparietal network, suggesting compensatory network reorganization associated with cognitive performance. These distance-dependent FCS alterations may serve as potential neuroimaging markers for early identification and risk stratification of VCIND and may also support longitudinal monitoring of functional network changes.