Dynamic functional network connectivity reveals the brain functional alterations in lung cancer patients after chemotherapy
| Autor: | Yu-Chen Chen, Lanyue Hu, Song'an Shang, Peng Wang, Shaohua Ding, Xindao Yin, Yujie Zhang, Wenqing Xia, Jia You |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Oncology
medicine.medical_specialty Lung Neoplasms Cognitive Neuroscience medicine.medical_treatment Functional networks Behavioral Neuroscience Cellular and Molecular Neuroscience Internal medicine medicine Humans Radiology Nuclear Medicine and imaging Effects of sleep deprivation on cognitive performance Cognitive impairment Lung cancer Default mode network Brain Mapping Chemotherapy Resting state fMRI business.industry Brain Montreal Cognitive Assessment medicine.disease Magnetic Resonance Imaging Psychiatry and Mental health Neurology Neurology (clinical) Nerve Net business |
| Zdroj: | Brain Imaging and Behavior. 16:1040-1048 |
| ISSN: | 1931-7565 1931-7557 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink