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Cerebral regional and network characteristics in asthma patients: a resting-state fMRI study

Siyi Li, Peilin Lv, Min He, Wenjing Zhang, Jieke Liu, Yao Gong, Ting Wang, Qiyong Gong, Yulin Ji, Su Lui

Frontiers of Medicine 2020, Volume 14, Issue 6,   Pages 792-801 doi: 10.1007/s11684-020-0745-1

Abstract: Asthma is a serious health problem that involves not only the respiratory system but also the central nervous system. Previous studies identified either regional or network alterations in patients with asthma, but inconsistent results were obtained. A key question remains unclear: are the regional and neural network deficits related or are they two independent characteristics in asthma? Answering this question is the aim of this study. By collecting resting-state functional magnetic resonance imaging from 39 patients with asthma and 40 matched health controls, brain functional measures including regional activity (amplitude of low-frequency fluctuations) and neural network function (degree centrality (DC) and functional connectivity) were calculated to systematically characterize the functional alterations. Patients exhibited regional abnormities in the left angular gyrus, right precuneus, and inferior temporal gyrus within the default mode network. Network abnormalities involved both the sensorimotor network and visual network with key regions including the superior frontal gyrus and occipital lobes. Altered DC in the lingual gyrus was correlated with the degree of airway obstruction. This study elucidated different patterns of regional and network changes, thereby suggesting that the two parameters reflect different brain characteristics of asthma. These findings provide evidence for further understanding the potential cerebral alterations in the pathophysiology of asthma.

Keywords: asthma     brain     regional activation     functional connectivity     resting-state fMRI    

Discovery of the mechanisms of acupuncture in the treatment of migraine based on functional magnetic resonance imaging and omics

Frontiers of Medicine 2023, Volume 17, Issue 5,   Pages 993-1005 doi: 10.1007/s11684-023-0989-7

Abstract: The functional magnetic resonance imaging (fMRI) data were analyzed for investigating brain changes inducedCorrelation and mediation analyses were performed to investigate the interaction between clinical, fMRI

Keywords: acupuncture     migraine     fMRI     metabolome     proteome    

Brain Encoding and Decoding in fMRI with Bidirectional Deep Generative Models Review

Changde Du, Jinpeng Li, Lijie Huang, Huiguang He

Engineering 2019, Volume 5, Issue 5,   Pages 948-953 doi: 10.1016/j.eng.2019.03.010

Abstract:

Brain encoding and decoding via functional magnetic resonance imaging (fMRI) are two important aspects

Keywords: Brain encoding and decoding     Functional magnetic resonance imaging     Deep neural networks     Deep generative models     Dual learning    

The brain areas and the neural mechanism involved in the Chinese paired-word associated learning and memory in healthy volunteers——a brain functional magnetic resonance imaging study

Zheng Jinlong,Shu Siyun,Liu Songhao,Guo Zhouyi,Wu Yongming,Bao Xinmin,Zhang Zengqiang,Jin Mei,Ma Hanzhang

Strategic Study of CAE 2008, Volume 10, Issue 5,   Pages 38-45

Abstract: paired-word associated learning and memory in healthy volunteers by functional magnetic resonance imaging (fMRIright-handed normal volunteers participated in a test of paired-word associated learning and memory, while the fMRI

Keywords: functional magnetic resonance imaging (fMRI) of human brain     paired-word     language     associated learning    

Title Author Date Type Operation

Cerebral regional and network characteristics in asthma patients: a resting-state fMRI study

Siyi Li, Peilin Lv, Min He, Wenjing Zhang, Jieke Liu, Yao Gong, Ting Wang, Qiyong Gong, Yulin Ji, Su Lui

Journal Article

Discovery of the mechanisms of acupuncture in the treatment of migraine based on functional magnetic resonance imaging and omics

Journal Article

Brain Encoding and Decoding in fMRI with Bidirectional Deep Generative Models

Changde Du, Jinpeng Li, Lijie Huang, Huiguang He

Journal Article

The brain areas and the neural mechanism involved in the Chinese paired-word associated learning and memory in healthy volunteers——a brain functional magnetic resonance imaging study

Zheng Jinlong,Shu Siyun,Liu Songhao,Guo Zhouyi,Wu Yongming,Bao Xinmin,Zhang Zengqiang,Jin Mei,Ma Hanzhang

Journal Article