Article
Medicine, General & Internal
Xue Jiao, Ming Yuan, Qiuju Li, Yufei Huang, Miaomiao Ji, Jing Li, Shumin Yan, Hao Sun, Xinyu Wang, Zangyu Pan, Qianhui Ren, Dawei Wang, Guoyun Wang
Summary: This study used resting-state functional magnetic resonance imaging to investigate brain morphological alterations and regional dysfunctions in patients with adenomyosis-related pain. The results showed changes in multiple brain regions associated with pain as well as anxiety and depression symptoms.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Neurosciences
Wen Chen, Hao Hu, Qian Wu, Lu Chen, Jiang Zhou, Huan-Huan Chen, Xiao-Quan Xu, Fei-Yun Wu
Summary: This study utilized rs-fMRI to investigate interhemispheric functional connectivity alterations in TAO patients, revealing changes in static and dynamic VMHC in occipital, parietal, and orbitofrontal areas, which could serve as neuroimaging prediction markers of TAO. Connectivity differences were found to be correlated with visual acuity and emotional state in TAO patients.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Neurosciences
Sepehr Shirani, Maryam Mohebbi
Summary: This study investigates the effects of MS on the brain's functional connectivity network using EEG resting-state signals and graph theory approach. The results indicate lower cortical activity in the alpha frequency bands and higher activity in the gamma frequency bands for patients with RRMS. Additionally, the functional brain network in RRMS cases shows a higher diameter, global efficiency, and transitivity in certain frequency bands.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Clinical Neurology
Mengting Wang, Xin Tang, Bin Li, Tianyi Wan, Xuechao Zhu, Yuping Zhu, Xunfu Lai, Yulin He, Guojin Xia
Summary: This study found that there are dynamic changes in local metrics in patients with toothache during resting state. The areas of the brain that undergo abnormal changes mainly involve pain processing, emotion processing, and pain cognitive modulation. These findings help to reveal the underlying neuropathological mechanisms and further understanding the effects on cognition and emotion.
FRONTIERS IN NEUROLOGY
(2022)
Article
Neuroimaging
Fengmei Lu, Mengyun Wang, Shiyang Xu, Heng Chen, Zhen Yuan, Lizhu Luo, Xiuli Wang, Jiang Zhang, Jing Dai, Xiaoping Wang, Huafu Chen, Jiansong Zhou
Summary: The study utilized the VMHC method to examine interhemispheric functional connectivity abnormalities in CD patients, finding reduced homotopic connectivity in components of visual and motor networks compared to TDs. Moreover, the VMHC of the MOG and PCL was negatively correlated with clinical scores in the CD group.
BRAIN IMAGING AND BEHAVIOR
(2021)
Review
Neurosciences
Danka Jandric, Anisha Doshi, Richelle Scott, David Paling, David Rog, Jeremy Chataway, Menno M. Schoonheim, Geoff Parker, Nils Muhlert
Summary: There is an association between cognitive impairment in multiple sclerosis (MS) and functional connectivity (FC) abnormalities measured by resting-state functional MRI (rs-fMRI), with both high and low FC being linked to cognitive dysfunction. The choice of methodology may influence the observed findings.
BRAIN CONNECTIVITY
(2022)
Article
Cell Biology
Min-Jie Chen, Shi-Nan Wu, Hui-Ye Shu, Qian-Min Ge, Yi-Cong Pan, Li-Juan Zhang, Rong-Bin Liang, Qiu-Yu Li, Wan Zhang, Yi Shao
Summary: This study investigated functional alterations in the cerebral network of patients with hypertensive retinopathy using rs-fMRI and DC methods. Results showed changes in DC values in specific cerebral areas of HR patients, providing insight into the pathophysiological mechanisms of HR.
Review
Psychiatry
Shuxia Yao, Benjamin Becker, Keith M. Kendrick
Summary: Autism spectrum disorder (ASD) is an early onset developmental disorder persisting throughout life, with resting state functional MRI (rs-fMRI) becoming a key approach in studying neural alterations associated with ASD; findings suggest alterations in inter-hemispheric functional connectivity, fiber changes, and structural differences in large-scale brain networks of ASD patients, indicating the potential of inter-hemispheric rsFC strength as a promising biomarker for aiding in ASD diagnosis.
FRONTIERS IN PSYCHIATRY
(2021)
Article
Clinical Neurology
Sean L. Carter, Ronak Patel, John D. Fisk, Chase R. Figley, Ruth Ann Marrie, Erin L. Mazerolle, Md Nasir Uddin, Kaihim Wong, Lesley A. Graff, James M. Bolton, James J. Marriott, Charles N. Bernstein, Jennifer Kornelsen
Summary: This study aimed to assess functional connectivity differences between individuals with multiple sclerosis (MS) and healthy controls (HC), and identified brain regions associated with cognitive impairment.
FRONTIERS IN NEUROLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Haiying Lyu, Xue Zhu, Naying He, Qing Li, Qianyi Yin, Yufei Huang, Fuhua Yan, Jun Liu, Yong Lu
Summary: The study aimed to investigate the functional connectivity (FC) changes of the central autonomic network (CAN) in patients with multiple system atrophy (MSA). Using core modulatory regions of CAN as seeds, significant FC aberrances were found between CAN and brain areas related to sensorimotor control, limbic network, putamen, and cerebellum in MSA patients. The FC changes of CAN were correlated with disease severity and were more significant in severe MSA group compared to moderate MSA group. Conclusion: MSA demonstrates widespread FC changes of CAN, suggesting abnormal functional integration of CAN may be involved in disease pathogenesis of MSA.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Neurosciences
Andria J. Farrens, Shahabeddin Vahdat, Fabrizio Sergi
Summary: Dynamic adaptation is the process of adjusting motor actions to changes in task dynamics. Adapted motor plans are consolidated into memories that contribute to better performance on re-exposure. This study used functional magnetic resonance imaging (fMRI) to investigate resting state functional connectivity (rsFC) specific to dynamic adaptation of wrist movements and subsequent memory formation.
JOURNAL OF NEUROSCIENCE
(2023)
Article
Geriatrics & Gerontology
Jia-Yan Shi, Li-Min Cai, Jia-Hui Lin, Zhang-Yu Zou, Xiao-Hong Zhang, Hua-Jun Chen
Summary: This study is the first to investigate the alterations in the patterns of dynamic functional connection density (dFCD) involving amyotrophic lateral sclerosis (ALS). The results show that ALS patients exhibit aberrant dynamic properties in brain functional architecture. The evaluation of dFCD improves our understanding of the pathological mechanisms underlying ALS and may assist in its diagnosis.
FRONTIERS IN AGING NEUROSCIENCE
(2022)
Article
Psychiatry
Qiaohao Hu, Jun Chen, Min Kang, Ping Ying, Xulin Liao, Jie Zou, Ting Su, Yixin Wang, Hong Wei, Yi Shao
Summary: This study measured spontaneous brain activity in patients with monocular blindness (MB) and found abnormal activity in certain brain regions, which may be associated with an increased risk of related disorders. These findings provide clues for early diagnosis of MB.
FRONTIERS IN PSYCHIATRY
(2022)
Article
Neurosciences
Xiang-Xun Chen, Wen Chen, Hao Hu, Meng Zhao, Hu Liu, Xiao-Quan Xu, Fei-Yun Wu, Jie Wang
Summary: Using rs-fMRI with VMHC, this study assessed the interhemispheric homotopic connectivity alterations in patients with CE before and after surgery. The results showed increased VMHC values in the occipital lobe and cerebellum of CE patients, which decreased one month after surgery. These findings provide new insights into the neurological alterations of CE.
FRONTIERS IN HUMAN NEUROSCIENCE
(2023)
Article
Psychiatry
Anqin Wang, Ting Dong, Taohua Wei, Hongli Wu, Yulong Yang, Yufeng Ding, Chuanfu Li, Wenming Yang
Summary: We investigated alterations in brain network connectivity in Wilson's disease (WD) patients and found widespread lower connectivity within resting-state networks, especially in patients with abnormal UWDRS scores. The decreased functional connections in certain regions of the brain were correlated with neurological and psychiatric symptoms. We also discovered stronger connections between different networks in patients with WD compared to healthy controls.
Article
Neurosciences
Xiang-Zhen Kong, Clyde Francks
Summary: The problem of poor reproducibility of scientific findings has been a topic of concern in recent years. A recent multisite collaborative study investigated the reproducibility of brain anatomical left-right asymmetries in regional measures of surface area and cortical thickness. The study found an average reproducibility rate of 63.2%, with larger effects and larger datasets having higher reproducibility.
HUMAN BRAIN MAPPING
(2022)
Article
Clinical Neurology
Ke Deng, Ji-Hui Yue, Jian Xu, Ping-Ping Ma, Xiao Chen, Le Li, Tong-Jian Bai, Qi-Jing Bo, Jun Cao, Guan-Mao Chen, Ning-Xuan Chen, Wei Chen, Chang Cheng, Xi-Long Cui, Jia Duan, Yi-Ru Fang, Qi-Yong Gong, Wen-Bin Guo, Zheng-Hua Hou, Lan Hu, Li Kuang, Feng Li, Tao Li, Yan-Song Liu, Zhe-Ning Liu, Yi-Cheng Long, Qing-Hua Luo, Hua-Qing Meng, Dai-Hui Peng, Hai-Tang Qiu, Jiang Qiu, Yu-Shu Shi, Tian-Mei Si, Yan-Qin Tang, Fei Wang, Kai Wang, Li Wang, Xiang Wang, Ying Wang, Xiao-Ping Wu, Xin-Ran Wu, Chun-Ming Xie, Guang-Rong Xie, Hai-Yan Xie, Peng Xie, Hong Yang, Jian Yang, Jia-Shu Yao, Shu-Qiao Yao, Ying-Ying Yin, Yong-Gui Yuan, Ai-Xia Zhang, Hong Zhang, Ke-Rang Zhang, Lei Zhang, Zhi-Jun Zhang, Ru-Bai Zhou, Yi-Ting Zhou, Jun-Juan Zhu, Chao-Jie Zou, Cong Zhou, Xi-Nian Zuo, Chao-Gan Yan, Xiu-Feng Xu, Yu-Qi Cheng
Summary: Based on a large sample analysis of brain imaging data, we found that patients with Major Depressive Disorder (MDD) exhibit reduced homotopic connectivity, particularly in the posterior cingulate gyrus/precuneus (PCC/PCu) region. Furthermore, this reduction is influenced by gender, age, episode type, and illness severity. These findings suggest a tendency for disrupted information exchange between hemispheres in the depressed brain.
Article
Clinical Neurology
Jing Chen, Liche Zhou, Chao Jiang, Zhichun Chen, Lina Zhang, Haiyan Zhou, Wenyan Kang, Xufeng Jiang, Yuanyuan Li, Ningdi Luo, Mengsha Yao, Mengyue Niu, Shengdi Chen, Xi-Nian Zuo, Li Li, Jun Liu
Summary: This study identified ocular-tracking abnormalities in patients with iRBD even in early disease progression, coupled with atrophy of brain areas involved in the perception of object motion, indicating potential phenoconversion to synucleinopathies in iRBD.
MOVEMENT DISORDERS
(2022)
Article
Neurosciences
Yun Wang, Xiongying Chen, Rui Liu, Zhifang Zhang, Jingjing Zhou, Yuan Feng, Chao Jiang, Xi-Nian Zuo, Yuan Zhou, Gang Wang
Summary: Neuroimaging studies have shown gender differences in brain functions, but few have looked at the influence of phase-encoding direction in echo-planar imaging on these differences. This research collected fMRI data in different PE directions and found significant differences in brain activity between genders, indicating the importance of considering PE direction in resting-state fMRI studies in the future.
FRONTIERS IN NEUROSCIENCE
(2022)
Editorial Material
Multidisciplinary Sciences
Xiu-Xia Xing, Ting Xu, Chao Jiang, Yin-Shan Wang, Xi-Nian Zuo
Article
Neurosciences
Brynja Gunnarsdottir, Valerio Zerbi, Clare Kelly
Summary: The hippocampus plays a crucial role in our sense of self and our place in the world. Through gradient analysis on resting state fMRI data, we found two major functional connectivity gradients in the hippocampus. One showed a sharp discontinuity, while the other was more continuous. The dorsal region was more strongly connected to areas involved in spatial navigation, while the ventral region was more strongly connected to areas involved in emotion. Gene co-expression gradients, however, showed a more segregated and discrete organization.
Article
Neurosciences
Zheyi Zhou, Dongtao Wei, Wei Liu, Hong Chen, Shaozheng Qin, Pengfei Xu, Xi-Nian Zuo, Yue-Jia Luo, Jiang Qiu
Summary: By exploring Chinese and American datasets, the study reveals the correlation between cortical thickness development and gene transcriptional expression in children and adolescents, primarily related to astrocytes, microglia, excitatory, and inhibitory neurons. The genes associated with cortical development are enriched in energy and DNA-related terms and are linked to psychological and cognitive disorders. Interestingly, there are striking similarities between the findings from the two datasets, bridging the gap between early cortical development and transcriptomes, and advancing the understanding of potential biological neural mechanisms.
HUMAN BRAIN MAPPING
(2023)
Editorial Material
Neurosciences
Xi-Nian Zuo, Weihua Dong
Article
Psychology, Developmental
Peng Gao, Yin-Shan Wang, Qiu-Yu Lu, Meng-Jie Rong, Xue-Ru Fan, Avram J. Holmes, Hao-Ming Dong, Hai-Fang Li, Xi-Nian Zuo
Summary: Pediatric neuroimaging datasets are growing rapidly, but head motion still affects our understanding of neurodevelopmental mechanisms. Mock-scans revealed increased head motion in younger participants, but a 5.5-minute training session in an MRI mock scanner effectively suppressed head motion in children and adolescents. Therefore, we propose that mock scanner training should be included in the quality assurance routine before formal MRI data collection, especially in large-scale pediatric neuroimaging studies.
DEVELOPMENTAL COGNITIVE NEUROSCIENCE
(2023)
Editorial Material
Biology
Anne E. Urai, Clare Kelly
Summary: Addressing the climate crisis requires radical and urgent action at all levels of society. Universities, in particular, have a responsibility to take the lead in such action, but they are falling short. Academic scientists also face obstacles such as bureaucracy and excessive competition, hindering their work. Drawing on Doughnut Economics, we propose new principles for scientific practice and urge academics to create a scientific enterprise that is capable of meeting the challenges of the 21st century.
Article
Neurosciences
Chao Jiang, Ye He, Richard F. Betzel, Yin-Shan Wang, Xiu-Xia Xing, Xi-Nian Zuo
Summary: A rapidly emerging application of network neuroscience, ifNN, has provided useful tools to understand individual differences in intrinsic brain function. However, the variability of methodologies applied across the ifNN studies makes it difficult to compare findings and select optimal strategies. This study aims to provide a benchmark for best ifNN practices by comparing measurement reliability under different strategies using the Human Connectome Project's test-retest design. The results reveal four essential principles to guide ifNN studies, and an interactive online resource of reliability assessments has been built for future ifNN research.
NETWORK NEUROSCIENCE
(2023)
Article
Neurosciences
Zhu-Qing Gong, Xi-Nian Zuo
Summary: The intrinsic organizational structure and functional integration of the brain can be observed through analysis of spontaneous brain oscillations across multiple frequency bands. Different brain networks show varying levels of connectivity integration at different frequencies, highlighting the importance of examining spontaneous brain activity from the perspective of multiple frequency bands.
Article
Computer Science, Artificial Intelligence
Chunming Jiang, Yilei Zhang
Summary: This study proposes a novel SNN training approach that combines the advantages of ANN-to-SNN conversion and spike-based backpropagation. By introducing random noise in the single-step SNN(T=1) training, the multistep SNN(T=N) can achieve higher accuracy after conversion.
NEURAL COMPUTATION
(2023)
Editorial Material
Neurosciences
Zhu-Qing Gong, Xi-Nian Zuo
Article
Psychology, Clinical
Mauricio Scopel Hoffmann, Tyler Maxwell Moore, Luiza Kvitko Axelrud, Nim Tottenham, Xi-Nian Zuo, Luis Augusto Rohde, Michael Peter Milham, Theodore Daniel Satterthwaite, Giovanni Abrahao Salum
Summary: Bifactor models are a promising strategy to parse general from specific aspects of psychopathology in youth. This study tested the reliability, validity, measurement invariance, and correlation of different bifactor models of psychopathology using the Child Behavior Checklist (CBCL). The results showed that regardless of item selection and strategy, the bifactor models assessed very similar constructs.
JOURNAL OF PSYCHOPATHOLOGY AND CLINICAL SCIENCE
(2022)