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Effective doctor-patient communication skills training optimizes functional organization of intrinsic brain architecture:a restingstate functional MRI study 被引量:2
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作者 Bing Zhang Ling Ni +10 位作者 Fangfang Wang Weiping Li Xin Zhang Xiaohua Gu Zuzana Nedelska Fei Chen Kun Wang Bin Zhu Renyuan Liu Jun Xu Jinfan Wang 《The Journal of Biomedical Research》 CAS CSCD 2017年第6期486-493,共8页
We studied the influence of doctor-patient communication skills training on brain functional architecture using resting-state functional MRI(rs-fMRI) with a regional homogeneity(ReHo) method. Ten medical students ... We studied the influence of doctor-patient communication skills training on brain functional architecture using resting-state functional MRI(rs-fMRI) with a regional homogeneity(ReHo) method. Ten medical students participated in the study. A 1-year long doctor-patient communication skills training program was conducted. RsfMRI data were collected at baseline, one month and one year after training. There was a significant increase in the communication skills test average scores between baseline and 1-month duration of training(P〈0.001). After one month of communication skills training, medical students had decreased ReHo in the right superior temporal gyrus compared with the baseline. After one year of communication skills training, students had increased ReHo in multiple regions and decreased ReHo in several regions(P 〈0.05, Alphasim corrected). The change of ReHo values in the superior temporal gyrus negatively correlated with the change of communication skills scale score between one month after communication skills training and baseline(r=-0.734, P= 0.036). The training program we used can be an effective approach of improving doctor-patient communication skills, and the training resulted in functional plasticity of the brain’s architecture toward optimizing locally functional organization. 展开更多
关键词 brain architecture function resting-state functional MRI(rs-fMRI) doctor-patient communication
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Non-Linear EEG Measures in Meditation
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作者 Oldrich Vysata Martin Schatz +5 位作者 Jakub Kopal Jan Burian Ales Procházka Kuchynka Jiri Jakub Hort Martin Valis 《Journal of Biomedical Science and Engineering》 2014年第9期731-738,共8页
In this study, the performance of Sevcik’s algorithm that calculates the fractal dimension and permutation entropy as discriminants to detect calming and insight meditation in electroencephalo-graphic (EEG) signals w... In this study, the performance of Sevcik’s algorithm that calculates the fractal dimension and permutation entropy as discriminants to detect calming and insight meditation in electroencephalo-graphic (EEG) signals was assessed. The proposed methods were applied to EEG recordings from meditators practicing insight meditation and calming meditation before as well as during both types of meditation. Analysis was conducted using statistical hypothesis testing to determine the validity of the proposed meditation-identifying techniques. For both types of meditation, there was a statistically significant reduction in the permutation entropy. This result can be explained by the increased EEG synchronization, which is repeatedly observed in the course of meditation. In contrast, the fractal dimension (FD) was significantly increased during calming meditation, but during insight meditation, no statistically significant change was detected. Increased FD during meditation can be interpreted as an increase in self-similarity of EEG signals during self-organisation of hierarchical structure oscillators in the brain. Our results indicate that fractal dimension and permutation entropy could be used as parameters to detect both types of meditation. The permutation entropy is advantageous compared with the fractal dimension because it does not require a stationary signal. 展开更多
关键词 Permutation Entropy Fractal Dimension EEG Calming Meditation Insight Meditation
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