Fatigue and resting-state functional brain networks in breast cancer patients treated with chemotherapy
| Autor: | Biniam Melese Bekele, Linda Douw, Michiel B. de Ruiter, Sanne B. Schagen, Maryse Luijendijk |
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| Přispěvatelé: | Psychology Other Research (FMG), Anatomy and neurosciences, Amsterdam Neuroscience - Brain Imaging, Amsterdam Neuroscience - Systems & Network Neuroscience, CCA - Imaging and biomarkers |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Oncology
Cancer Research medicine.medical_specialty Longitudinal study Global integration Epidemiology medicine.medical_treatment Network neuroscience Breast Neoplasms Functional networks Functional connectivity 03 medical and health sciences Functional brain Breast cancer 0302 clinical medicine Internal medicine medicine Humans Longitudinal Studies Fatigue Chemotherapy Resting state fMRI medicine.diagnostic_test business.industry Brain medicine.disease Magnetic Resonance Imaging Graph theory 030220 oncology & carcinogenesis Female Functional magnetic resonance imaging business 030217 neurology & neurosurgery |
| Zdroj: | Bekele, B M, Luijendijk, M, Schagen, S B, de Ruiter, M & Douw, L 2021, ' Fatigue and resting-state functional brain networks in breast cancer patients treated with chemotherapy ', Breast Cancer Research and Treatment, vol. 189, no. 3, pp. 787-796 . https://doi.org/10.1007/s10549-021-06326-0 Breast Cancer Research and Treatment, 189(3), 787-796. Springer New York Breast Cancer Research and Treatment |
| ISSN: | 0167-6806 |
| DOI: | 10.1007/s10549-021-06326-0 |
| Popis: | Purpose This longitudinal study aimed to disentangle the impact of chemotherapy on fatigue and hypothetically associated functional brain network alterations. Methods In total, 34 breast cancer patients treated with chemotherapy (BCC +), 32 patients not treated with chemotherapy (BCC −), and 35 non-cancer controls (NC) were included. Fatigue was assessed using the EORTC QLQ-C30 fatigue subscale at two time points: baseline (T1) and six months after completion of chemotherapy or matched intervals (T2). Participants also underwent resting-state functional magnetic resonance imaging (rsfMRI). An atlas spanning 90 cortical and subcortical brain regions was used to extract time series, after which Pearson correlation coefficients were calculated to construct a brain network per participant per timepoint. Network measures of local segregation and global integration were compared between groups and timepoints and correlated with fatigue. Results As expected, fatigue increased over time in the BCC + group (p = 0.025) leading to higher fatigue compared to NC at T2 (p = 0.023). Meanwhile, fatigue decreased from T1 to T2 in the BCC − group (p = 0.013). The BCC + group had significantly lower local efficiency than NC at T2 (p = 0.033), while a negative correlation was seen between fatigue and local efficiency across timepoints and all participants (T1 rho = − 0.274, p = 0.006; T2 rho = − 0.207, p = 0.039). Conclusion Although greater fatigue and lower local functional network segregation co-occur in breast cancer patients after chemotherapy, the relationship between the two generalized across participant subgroups, suggesting that local efficiency is a general neural correlate of fatigue. |
| Databáze: | OpenAIRE |
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