ArticleBrain imaging and behavior2022
Dynamic functional network connectivity reveals the brain functional alterations in lung cancer patients after chemotherapy.
Article in Brain imaging and behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 8 citations in OpenAlex.
- Individualized metabolic brain network alterations in diffuse large B-cell lymphoma: anBMC medical imaging · 2026Article
- Altered structural covariance of the cortex and hippocampal formation in patients with lung cancer after chemotherapy.Heliyon · 2024Article
- Latent profile analysis of resilience and its influencing factors in patients with lung cancer undergoing chemotherapy.Asia-Pacific journal of oncology nursing · 2024Article
- Uncovering brain functional connectivity disruption patterns of lung cancer-related pain.Brain imaging and behavior · 2024Article
- Preoperative early-stage lung cancer patients and local brain area changes: a cross-sectional observational descriptive study.Frontiers in psychology · 2024Article
- Functional changes of the prefrontal cortex, insula, caudate and associated cognitive impairment (chemobrain) in NSCLC patients receiving different chemotherapy regimen.Frontiers in oncology · 2022Article
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
This study aimed to investigate alterations of brain functional network connectivity (FNC) in lung cancer patients after chemotherapy and explore links between these FNC differences and cognitive impairment. Twenty-two lung cancer patients receiving chemotherapy and 26 healthy controls (HCs) underwent resting-state functional MRI (rs-fMRI) and neuropsychological testing. Group independent component analysis (GICA) was applied to rs-fMRI data to extract whole-brain resting state networks (RSNs). Static and dynamic FNC (dFNC) were constructed to reveal RSNs connectivity alterations between lung cancer patients and HCs group, and the correlations between the group differences in RSNs and cognitive performance were analyzed. Our findings revealed that chemotherapeutics can produce widespread connectivity abnormalities in RSNs, mainly focused on default mode network (DMN) and executive control network. Furthermore, the dFNC analysis help identify network configurations of each state and capture more chemotherapy-induced disorders of interactions between and within RSNs, which mainly includes sensorimotor network, attentional network and auditory network. In addition, after chemotherapy, the lung cancer patients spend shorter mean dwell time (MDT) in state 2. The decreased dFNC between DMN [independent component 5 (IC5)] and DMN (IC6) in the lung cancer patients after chemotherapy in state 4 was negatively correlated with Montreal Cognitive Assessment (MoCA) scores (r=-0.447, p=0.042). The dFNC analysis enrich our understanding of the neural mechanisms underlying the chemobrain, and suggested that the temporal dynamics of FNC could be a potential effective method to detect cognitive changes in lung cancer patients receiving chemotherapy.
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