Article
Neurosciences
Peishan Dai, Xiaoyan Zhou, Yilin Ou, Tong Xiong, Jinlong Zhang, Zailiang Chen, Beiji Zou, Xin Wei, Ying Wu, Manyi Xiao
Summary: The study investigated the altered effective connectivity (EC) in children and young adults with amblyopia, showing significant impairments in the EC network of amblyopia patients, which may have a stronger correlation with feedback pathways.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Neurosciences
Pradyumna Lanka, Heather Bortfeld, Theodore J. Huppert
Summary: In resting-state fNIRS data, a processing pipeline incorporating pre-whitening, robust statistical methods, and partial correlation can effectively reduce autocorrelation, motion artifacts, and global physiology, obtaining statistically valid connectivity metrics.
Article
Psychology, Clinical
Cristina Canete-Masse, Maria Carbo-Carrete, Maribel Pero-Cebollero, Shi-Xian Cui, Chao-Gan Yan, Joan Guardia-Olmos
Summary: This study investigated brain abnormalities in Down syndrome (DS) using neuroimaging techniques. It found that DS patients exhibit alterations in degree centrality, functional connectivity, and brain networks. The findings suggest hypo- and hyperconnectivity within and between networks in DS, potentially related to the characteristics of the population.
INTERNATIONAL JOURNAL OF CLINICAL AND HEALTH PSYCHOLOGY
(2023)
Article
Psychiatry
Baogen Du, Shanshan Cao, Yuanyuan Liu, Qiang Wei, Jun Zhang, Chen Chen, Xiaojing Wang, Yuting Mo, Jiajia Nie, Bensheng Qiu, Panpan Hu, Kai Wang
Summary: Our study investigated the potential mechanism of cognitive impairment in individuals with white matter hyperintensities (WMHs) using degree centrality (DC) analysis. Results showed significant differences in the right inferior frontal orbital gyrus and left superior parietal gyrus between WMHs patients and healthy controls, as well as altered functional connectivity patterns between certain brain regions in the WMHs group. This suggests that changes in DC values could contribute to cognitive impairment in WMHs patients, offering a new approach to delaying cognitive decline in this population.
FRONTIERS IN PSYCHIATRY
(2021)
Article
Clinical Neurology
Zhongming Li, Jianping Hu, Zhimin Wang, Ruixiong You, Dairong Cao
Summary: This study aimed to explore the abnormalities in functional and causal connectivity of the brain network in patients with acute ischemic stroke (AIS) in the basal ganglia. The results showed that compared to healthy controls, AIS patients displayed increased degree centrality in the left inferior temporal gyrus and hippocampus head, as well as alterations in effective connectivity among multiple brain regions. These findings suggest impairment of multifunctional networks in patients with AIS in the basal ganglia.
JOURNAL OF NEUROIMAGING
(2022)
Article
Neurosciences
Hao Liu, Ruiping Zheng, Yong Zhang, Beibei Zhang, Haiman Hou, Jingliang Cheng, Shaoqiang Han
Summary: This study investigates the intrinsic dysconnectivity pattern of the whole brain functional networks using degree centrality analysis in patients with classic trigeminal neuralgia (CTN). The results reveal specific functional connectivity network alterations in the basal ganglia, visual network, and salience network in CTN patients. These findings provide new insights into the mechanisms of pain chronicity in CTN patients.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Clinical Neurology
Antonio Carotenuto, Paola Valsasina, Menno M. Schoonheim, Jeroen J. G. Geurts, Frederik Barkhof, Antonio Gallo, Gioacchino Tedeschi, Silvia Tommasin, Patrizia Pantano, Massimo Filippi, Maria A. Rocca, MAGNIMS Study Grp
Summary: Patients with multiple sclerosis (MS) showed abnormalities in the centrality of functional networks, with reduced centrality in the salience and sensorimotor networks and increased centrality in the default-mode network. These centrality abnormalities were specific to different disease phenotypes and were associated with clinical and cognitive disability. The voxel-wise centrality analysis may reflect the pathologic substrates underlying disability accrual in MS.
Article
Neuroimaging
Zheng-Ye Cao, Na Wang, Jie-Ting Jia, Hong-Ying Zhang, Song-An Shang, Jing-Jing Hu, Yuan Xu, Jing-Tao Wu
Summary: The study found abnormalities in nodal network metrics in SLE patients, with decreased nodal efficiency in the right insula, bilateral putamen, and bilateral Heschl's gyrus. Decreased degree centrality was also noted in the right amygdala and bilateral Heschl's gyrus. Reduced network functional connectivity was observed between several regions in SLE patients, particularly between the basal ganglia and cerebellum. Additionally, FC values between the right putamen and vermis 6 were positively correlated with Mini-Mental State Examination scores, while nodal efficiency and degree centrality in the left Heschl's gyrus were positively correlated with disease course. These findings suggest that alterations in the functional network may play a role in cognitive decline in SLE patients.
BRAIN IMAGING AND BEHAVIOR
(2021)
Article
Neuroimaging
Peina Chen, Runyue Hu, Lei Gao, Baolin Wu, Meng Peng, Qianqian Jiang, Xiaoyan Wu, Haibo Xu
Summary: Functional connectivity changes were observed in ESRD patients with cognitive impairment compared to healthy controls, with alterations in DC values across different brain regions. The findings suggest that altered degree centrality may serve as early biomarkers for cognitive impairment in ESRD patients.
BRAIN IMAGING AND BEHAVIOR
(2021)
Article
Computer Science, Interdisciplinary Applications
Berjo Rijnders, Emin Erkan Korkmaz, Funda Yildirim
Summary: This study investigates the performance of a convolutional neural network (CNN) algorithm on epilepsy diagnosis. The approach achieves a high diagnostic accuracy by using deep learning to learn connectivity patterns directly from easily acquired EEG data. This method could prove valuable as a clinical decision support system for epilepsy diagnosis.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
(2022)
Article
Neurosciences
Shufen Zhang, Bo Li, Kai Liu, Xiaoming Hou, Ping Zhang
Summary: Postpartum depression (PPD) is a major public health concern that affects mothers, children, and families significantly. By using voxel-based degree centrality (DC) analysis and seed-based functional connectivity (FC) analysis, this study revealed aberrant DC and FC within brain regions in patients with PPD. These findings contribute to a better understanding of the neuropathological mechanisms underlying PPD.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Clinical Neurology
Yiling Wang, Muliang Jiang, Lixuan Huang, Xia Meng, Shu Li, Xiaoqi Pang, Zisan Zeng
Summary: This study investigated alterations in functional brain network in non-NPSLE patients. Results showed abnormal DC and FC, with MVPA classification based on DC showing good accuracy. The study provides a novel perspective on the neuropathological mechanisms of subclinical brain damage in non-NPSLE.
FRONTIERS IN NEUROLOGY
(2021)
Article
Neurosciences
Ke Xu, Yichen Wei, Chengxiang Liu, Lihua Zhao, Bowen Geng, Wei Mai, Shuming Zhang, Lingyan Liang, Xiao Zeng, Demao Deng, Peng Liu
Summary: The study found that patients with MCI had decreased degree centrality in the left middle frontal cortex and bilateral middle cingulate cortex. The true moxibustion group showed significantly increased degree centrality in the bilateral MFC and MCC, as well as decreased in the left middle occipital cortex. There were significant interactions between the two groups of patients with MCI.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Clinical Neurology
Weiwei Chang, Jinping Liu, Liluo Nie, Xiaomin Pang, Zongxia Lv, Jinou Zheng
Summary: This study identified brain abnormalities in patients with TLEIP, providing preliminary insights into the mechanism of ictal panic and abnormal functional connection in patients with TLE. Further research is needed to explore the neuroimaging mechanism of ictal panic in patients with TLE.
FRONTIERS IN NEUROLOGY
(2022)
Article
Neurosciences
Aidi Shan, Heng Zhang, Mengxi Gao, Lina Wang, Xingyue Cao, Caiting Gan, Huimin Sun, Yongsheng Yuan, Kezhong Zhang
Summary: This study aimed to investigate changes in the inherent connectivity pattern of global functional networks in Parkinson's disease (PD) patients with fatigue. Voxel-wise degree centrality (DC) and seed-based functional connectivity (FC) analysis were conducted on 18 PD patients with fatigue (PD-F), 20 PD patients without fatigue (PD-NF), and 23 healthy controls (HCs). The results showed that PD-F patients had reduced DC values in the left postcentral gyrus and increased DC values in the bilateral precuneus. Altered FC was predominantly located in the sensorimotor network in the PD-F group. Cortical thickness did not differ significantly between the three groups.
CNS NEUROSCIENCE & THERAPEUTICS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Junli Tao, Rongfei Lv, Changyu Liang, Jiayang Fang, Daihong Liu, Xiaosong Lan, Hong Huang, Jiuquan Zhang
Summary: This study developed a radiomics model and a combined model to predict distant metastasis (DM) in NSCLC patients, and explored the added value of the combined model compared to individual models. The results showed that both the radiomics model and the combined model performed well in predicting DM.
ACADEMIC RADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Xiaoqin Li, Jing Zhang, Hesong Shen, Xiaoxia Wang, Daihong Liu, Hong Yu, Xiaosong Lan, Jinfang Shi, Xiangfei Zeng, Meiling Liu, Meng Lin, Yong Tan, Bin Zhang, Jiuquan Zhang
Summary: The objective of this study was to assess the image quality of noise-optimized virtual monoenergetic images (MEI (+)) and polyenergetic images (PEIs) from dual-energy computed tomography angiography and explore the clinical value of MEI (+) in preoperative planning of anterolateral thigh (ALT) flap transplantation. The results showed that the 40-keV MEI (+) had superior subjective and objective image quality metrics compared to PEI, and it increased the visibility and measurable length of perforators in ALT flap planning.
JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY
(2022)
Article
Oncology
Hesong Shen, Jinxue Yin, Running Niu, Yanbang Lian, Yuanying Huang, Chunrong Tu, Daihong Liu, Xiaoxia Wang, Xiaosong Lan, Xiaoqian Yuan, Jiuquan Zhang
Summary: This study developed and validated a joint radiomic and clinical signature (RCS) to predict the prognosis of patients with locoregionally advanced nasopharyngeal carcinoma (LA-NPC) and identify potential treatment benefits. The RCS showed better predictive ability for 5-year progression-free survival compared to the TNM staging system. It provides a noninvasive way to predict outcomes and guide personalized treatment decisions.
RADIOTHERAPY AND ONCOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Qiuzhi Chen, Chunrong Tu, Xiaoqin Li, Hesong Shen, Xing Wang, Daihong Liu, Yu Wang, Renwei Liu, Wei Den, Xiaoyue Zhang, Jiuquan Zhang
Summary: Breast cancer patients undergoing anthracycline-based chemotherapy may experience increased pericardial adipose tissue (PAT) volume, even after treatment completion. Clinical risk factors, such as the number of chemotherapy cycles, can help identify patients at risk for PAT volume increases and target interventions.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Chunrong Tu, Hesong Shen, Renwei Liu, Xing Wang, Xiaoqin Li, Xiaoqian Yuan, Qiuzhi Chen, Yu Wang, Zijuan Ran, Xiaosong Lan, Xiaoyue Zhang, Meng Lin, Jiuquan Zhang
Summary: This study evaluated the value of myocardial extracellular volume (ECV) derived from contrast-enhanced chest CT for longitudinal evaluation of cardiotoxicity in breast cancer patients. The results suggest that CT-derived ECV is a potential biomarker for monitoring cardiotoxicity in patients treated with anthracycline.
INSIGHTS INTO IMAGING
(2022)
Article
Engineering, Biomedical
Hong Huang, Yuan Li, Ruoyu Wu, Zhengying Li, Jiuquan Zhang
Summary: This study presents a deep learning model for benign-malignant classification of pulmonary nodules in Computed Tomography images. By optimizing the feature extraction and feature optimization processes, it significantly improves the classification performance.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Haotian Li, Tao Zu, Yi-Cheng Hsu, Zhiyong Zhao, Ruibin Liu, Tianshu Zheng, Qing Li, Yi Sun, Daihong Liu, Jiuquan Zhang, Yi Zhang, Dan Wu
Summary: This study aimed to assess the effect of cerebrospinal fluid (CSF) on diffusion magnetic resonance imaging (dMRI) measurements and investigate the efficacy of inversion-recovery prepared oscillating and pulsed gradient sequences in improving the measurements. The results showed that the inversion-recovery prepared sequences effectively suppressed the CSF partial volume effect and significantly enhanced the measurements in the human brain.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Junli Tao, Changyu Liang, Ke Yin, Jiayang Fang, Bohui Chen, Zhenyu Wang, Xiaosong Lan, Jiuquan Zhang
Summary: The purpose of this study was to compare the efficacy of five non-invasive models to predict the spread through air spaces (STAS) status of non-small cell lung cancer (NSCLC), and the 3D convolutional neural network (CNN) model was found to be superior to the other four models in predicting STAS.
DIAGNOSTIC AND INTERVENTIONAL IMAGING
(2022)
Article
Oncology
Lu Yang, Lei Wang, Yuchuan Tan, Hanli Dan, Peng Xian, Yipeng Zhang, Yong Tan, Meng Lin, Jiuquan Zhang
Summary: This study investigated the value of a novel functional magnetic resonance imaging (MRI) technique, amide proton transfer (APT)-weighted MRI, combined with serum prostate-specific antigen (PSA) levels in differentiating malignant and benign prostate lesions. The results showed that the combination of APTmax, APTmean, ADCmean, and PSAD had the highest diagnostic value.
Article
Radiology, Nuclear Medicine & Medical Imaging
Ying Cao, Xiaoxia Wang, Jinfang Shi, Xiangfei Zeng, Lihong Du, Qing Li, Dominik Nickel, Xiaoyu Zhou, Jiuquan Zhang
Summary: The purpose of this study was to assess the diagnostic performance of Ultrafast Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) parameters compared to Apparent Diffusion Coefficient (ADC) for distinguishing benign from malignant breast lesions, and to investigate the complementarity of ultrafast DCE-MRI with Diffusion Weighted Imaging (DWI). The results showed that ultrafast DCE-MRI semi-quantitative parameters had better classification performance than quantitative parameters, and the combination of ultrafast DCE-MRI semi-quantitative parameters and ADC further improved the diagnostic value of ultrafast DCE-MRI.
DIAGNOSTIC AND INTERVENTIONAL IMAGING
(2023)
Article
Cardiac & Cardiovascular Systems
Hesong Shen, Yanbang Lian, Jinxue Yin, Minghong Zhu, Chun Yang, Chunrong Tu, Yangling Peng, Xiaoqin Li, Jiuquan Zhang
Summary: The pretreatment coronary artery calcium score (CACS) can stratify the risk of cancer therapy-related cardiac dysfunction (CTRCD) and major adverse cardiovascular events (MACEs) in patients with diffuse large B-cell lymphoma receiving anthracycline-based chemotherapy.
CIRCULATION-CARDIOVASCULAR IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Fanrong Cheng, Yan Liu, Lihong Du, Lei Wang, Lan Li, Jinfang Shi, Xiaoxia Wang, Jiuquan Zhang
Summary: The purpose of this study was to assess the optimal characteristics of monoenergetic image (MEI (+)) from dual-energy CT (DECT) and its diagnostic performance for T staging in patients with thoracic esophageal cancer (EC). The results showed that MEI (+) at 40 keV in the venous phase had the best tumor delineation. The MEI (+) images had significantly higher signal-to-noise ratio (SNR) and tumor contrast-to-noise ratio (CNR) compared to the polyenergetic image (PEI). The agreement between MEI (+) (40 keV) and pathological T categories reached 81.63%.
INSIGHTS INTO IMAGING
(2023)
Article
Geriatrics & Gerontology
Junli Tao, Jiayang Fang, Lihua Chen, Changyu Liang, Bohui Chen, Zhenyu Wang, Yongzhong Wu, Jiuquan Zhang
Summary: This study found that sarcopenia and decreased subcutaneous fat were associated with shorter overall survival in non-small cell lung cancer patients. Increased subcutaneous fat and pericardial fat were associated with longer overall survival, independent of sarcopenia.
JOURNAL OF CACHEXIA SARCOPENIA AND MUSCLE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jinfang Shi, Haiping Huang, Suqin Xu, Lihong Du, Xiangfei Zeng, Ying Cao, Daihong Liu, Xiaoxia Wang, Jiuquan Zhang
Summary: XGBoost combined with mpDECT shows promising performance in differentiating between MM of the spine and VOM. The XGBoost model achieved excellent diagnostic performance, with a sensitivity of 80%, a specificity of 95%, and an accuracy of 88%, which was superior to VNCa (p < 0.05).
EUROPEAN RADIOLOGY
(2023)
