Evidence map›Paper›PMID 41059631›Full record

ArticlePsychological medicine2025

Abnormal functional network connectivity mediates the relationship between depressive symptoms and cognitive decline in late-onset depression.

Zhidai Xiao, Ben Chen, Mingfeng Yang, Qiang Wang, Danyan Xu, Gaohong Lin, Pengbo Gao, Shuang Liang, Qin Liu, Jiafu Li and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Psychological medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Zhidai XiaoGeriatric Neuroscience Center, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China.
Ben ChenGeriatric Neuroscience Center, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China.
Mingfeng YangGeriatric Neuroscience Center, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China.
Qiang WangGeriatric Neuroscience Center, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China.
Danyan XuGeriatric Neuroscience Center, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China.
Gaohong LinGeriatric Neuroscience Center, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China.
Pengbo GaoGeriatric Neuroscience Center, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China.
Shuang LiangGeriatric Neuroscience Center, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China.
Qin LiuGeriatric Neuroscience Center, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China.
Jiafu LiGeriatric Neuroscience Center, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China.
Xiaomin ZhengGeriatric Neuroscience Center, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China.
Xiaomei ZhongGeriatric Neuroscience Center, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China.
Yuping NingGeriatric Neuroscience Center, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China.ORCID 0000-0002-5727-2782

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLate-onset depression (LOD) is featured by disrupted cognitive performance, which is refractory to conventional treatments and increases the risk of dementia. Aberrant functional connectivity among various brain regions has been reported in LOD, but their abnormal patterns of functional network connectivity remain unclear in LOD.

methodsA total of 82 LOD and 101 healthy older adults (HOA) accepted functional magnetic resonance imaging scanning and a battery of neuropsychological tests. Static functional network connectivity (sFNC) and dynamic functional network connectivity (dFNC) were analyzed using independent component analysis, with dFNC assessed via a sliding window approach. Both sFNC and dFNC contributions were classified using a support vector machine.

resultsLOD exhibited decreased sFNC among the default mode network (DMN), salience network (SN), sensorimotor network (SMN), and language network (LAN), along with reduced dFNC of DMN-SN and SN-SMN. The sFNC of SMN-LAN and dFNC of DMN-SN contributed the most in differentiating LOD and HOA by support vector machine. Additionally, abnormal sFNC of DMN-SN and DMN-SMN both correlated with working memory, with DMN-SMN mediating the relationship between depression and working memory. The dFNC of SN-SMN was associated with depressive severity and multiple domains of cognition, and mediated the impact of depression on memory and semantic function.

conclusionsThis study displayed the abnormal connectivity among DMN, SN, and SMN that involved the relationship between depression and cognition in LOD, which might reveal mutual biomarkers between depression and cognitive decline in LOD.

Indexed as

BrainCognitive DysfunctionDefault Mode NetworkDepressionNerve NetAgedConnectomeFemaleHumansMagnetic Resonance ImagingMaleMemory, Short-TermMiddle AgedNeuropsychological TestsSupport Vector Machinecognitive declinedynamic functional network connectivityfunctional magnetic resonance imaginglate-onset depressionstatic functional network connectivity

Identifiers

PMID41059631
PMCPMC12551583

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