{"title":"Altered Default Mode Network Connectivity in Mild Cognitive Impairment: Insights from Resting-State fMRI Studies.","authors":"Danqi Zhang, Jinhuan Yue, Hanbin Niu, Zeyi Wei, Dong-Hong Huang, Peng Wang, Xiaoling Li, Yuhui Zhao, Qinhong Zhang","doi":"10.2174/0115672050352061250328055829","DOIUrl":null,"url":null,"abstract":"<p><p>Mild Cognitive Impairment (MCI) is marked by a measurable decline in cognitive function that exceeds typical age-related changes but does not yet qualify as dementia. The brain's Default Mode Network (DMN) remains active during rest and plays a crucial role in introspective processes, such as memory retrieval and self-referential thinking. Resting-state functional magnetic resonance imaging (rs-fMRI) is a non-invasive neuroimaging technique that measures spontaneous fluctuations in blood oxygenation, providing insights into functional connectivity within brain networks. Investigating the DMN using rs-fMRI in individuals with MCI allows researchers to identify early neural changes associated with cognitive decline, which may serve as biomarkers for the early detection of Alzheimer's disease or related dementias. The rs-fMRI technique has been widely used in MCI research to explore the underlying neurobiological mechanisms of cognitive impairment. This study aims to synthesize findings from rs-fMRI studies focusing on alterations in DMN connectivity in MCI populations. This analysis deepens our understanding of the early-stage neural disruptions in MCI and holds significant implications for developing early diagnostic tools and interventions aimed at delaying the progression to dementia.</p>","PeriodicalId":94309,"journal":{"name":"Current Alzheimer research","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Alzheimer research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/0115672050352061250328055829","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Mild Cognitive Impairment (MCI) is marked by a measurable decline in cognitive function that exceeds typical age-related changes but does not yet qualify as dementia. The brain's Default Mode Network (DMN) remains active during rest and plays a crucial role in introspective processes, such as memory retrieval and self-referential thinking. Resting-state functional magnetic resonance imaging (rs-fMRI) is a non-invasive neuroimaging technique that measures spontaneous fluctuations in blood oxygenation, providing insights into functional connectivity within brain networks. Investigating the DMN using rs-fMRI in individuals with MCI allows researchers to identify early neural changes associated with cognitive decline, which may serve as biomarkers for the early detection of Alzheimer's disease or related dementias. The rs-fMRI technique has been widely used in MCI research to explore the underlying neurobiological mechanisms of cognitive impairment. This study aims to synthesize findings from rs-fMRI studies focusing on alterations in DMN connectivity in MCI populations. This analysis deepens our understanding of the early-stage neural disruptions in MCI and holds significant implications for developing early diagnostic tools and interventions aimed at delaying the progression to dementia.