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Current Medical Imaging

Editor-in-Chief

ISSN (Print): 1573-4056
ISSN (Online): 1875-6603

Research Article

Modular Edge Analysis Reveals Chemotherapy-induced Brain Network Changes in Lung Cancer Patients

Author(s): Jia You, Zhengqian Wang, Lanyue Hu, Yujie Zhang, Feifei Chen, Xindao Yin, Yu-Chen Chen* and Xiaomin Yong*

Volume 20, 2024

Published on: 02 January, 2024

Article ID: e15734056277364 Pages: 8

DOI: 10.2174/0115734056277364231226081249

open_access

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Abstract

Background: Lung cancer patients with post-chemotherapy may have disconnected or weakened function connections within brain networks.

Objective: This study aimed to explore the abnormality of brain functional networks in lung cancer patients with post-chemotherapy by modular edge analysis.

Methods: Resting-state functional magnetic resonance imaging (rs-fMRI) scans were performed on 40 patients after chemotherapy, 40 patients before chemotherapy and 40 normal controls. Patients in all three groups were age and sex well-matched. Then, modular edge analysis was applied to assess brain functional network alterations.

Results: Post-chemotherapy patients had the worst MoCA scores among the three groups (p < 0.001). In intra-modular connections, compared with normal controls, the patients after chemotherapy had decreased connection strengths in the occipital lobe module (p < 0.05). Compared with the nonchemotherapy group, the patients after chemotherapy had decreased connection strengths in the subcortical module (p < 0.05). In inter-modular connections, compared with normal controls, the patients after chemotherapy had decreased connection strength in the frontal-temporal lobe modules (p < 0.05). Compared with the non-chemotherapy group, the patients after chemotherapy had decreased connection strength in the subcortical-temporal lobe modules (p < 0.05).

Conclusion: The results reveal that chemotherapy can disrupt connections in brain functional networks. As far as we know, the use of modular edge analysis to report changes in brain functional brain networks associated with chemotherapy was rarely reported. Modular edge analysis may play a crucial part in predicting the clinical outcome for the patients after chemotherapy.

Keywords: Lung cancer, Chemotherapy, s-fMRI, Modular edge analysis, Brain network, Smoking. Article


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