Article
Endocrinology & Metabolism
Panpan Cheng, Shuyan Song, Yumin Li, Yao Zhang, Jun Yi, Xiangyang Xu, Hongmei Zhou, Zhentao Zuo
Summary: The study aimed to investigate alterations in brain functional connectivity (FC) in type 2 diabetes mellitus (T2DM) patients without cognitive impairment and microvascular complications, and determine the correlation with clinical indicators using resting-state functional MRI (rs-fMRI). Results showed that T2DM patients exhibited decreased FC between posterior cingulate cortex (PCC) and certain brain regions, as well as increased FC in other regions. The FC of PCC with some brain regions was correlated with HbA1c and diabetes duration, suggesting the importance of monitoring brain function changes in T2DM patients for prevention of cognitive dysfunction and visual impairment.
FRONTIERS IN ENDOCRINOLOGY
(2021)
Article
Neurosciences
Zhishuai Jin, Sizhu Huyang, Lichen Jiang, Yajun Yan, Ming Xu, Jinyu Wang, Qixiong Li, Daxing Wu
Summary: The study revealed that individuals with congenital amusia exhibit increased interhemispheric functional connectivity in the posterior part of the default mode network, particularly in the posterior superior temporal gyrus and posterior cingulate cortex, which were negatively correlated with music perception ability. These findings suggest that the immature state of the default mode network may serve as a reliable neural marker for amusia.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Endocrinology & Metabolism
Yifan Li, Mingrui Li, Kui Zhao, Yan Wang, Xin Tan, Chunhong Qin, Yawen Rao, Zhizhong Sun, Limin Ge, Zidong Cao, Yi Liang, Shijun Qiu
Summary: This study found that the stability of dynamic functional architecture is reduced in patients with type 2 diabetes mellitus (T2DM), and there are changes in information flow. The combination of stability and dynamic effective connectivity can show both the stability of dynamic functional architecture and the fluidity of brain information. This is an innovative and interesting attempt to uncover the mechanism of cognitive decline in T2DM patients.
FRONTIERS IN ENDOCRINOLOGY
(2023)
Article
Geriatrics & Gerontology
Dong Woo Kang, Sheng-Min Wang, Yoo Hyun Um, Hae-Ran Na, Nak-Young Kim, Chang Uk Lee, Hyun Kook Lim
Summary: This study observed significant differences in functional connectivity (FC) between the posterior cingulate cortex (PCC) and various brain regions among healthy controls (HC), early-MCI patients, and late-MCI patients. Early-MCI patients showed higher FC values in certain regions compared to HC and late-MCI patients. Furthermore, there was a significant interaction between group (HC vs. early MCI vs. late MCI) and memory performance on FC.
FRONTIERS IN AGING NEUROSCIENCE
(2021)
Article
Endocrinology & Metabolism
Jing Jing, Chang Liu, Wanlin Zhu, Yuesong Pan, Jiyang Jiang, Xueli Cai, Zhe Zhang, Zixiao Li, Yijun Zhou, Xia Meng, Jian Cheng, Yilong Wang, Hao Li, Yong Jiang, Huaguang Zheng, Suying Wang, Haijun Niu, Wei Wen, Perminder S. Sachdev, Tiemin Wei, Tao Liu, Yongjun Wang
Summary: This study investigated the impact of brain structure and function on cognitive function in individuals with diabetes, especially type 2 diabetes. The results showed that compared to individuals with normal glucose metabolism, those with type 2 diabetes had smaller brain volume in various regions and stronger functional connectivity between the bilateral thalamus and brain networks. Additionally, individuals with prediabetes had smaller brain volume in specific regions and stronger functional connectivity between the right thalamus and visual network. Cognitive function was associated with larger thalamus volume and lower functional connectivity with the visual network.
Article
Radiology, Nuclear Medicine & Medical Imaging
Ying Cui, Tian-Yu Tang, Chun-Qiang Lu, Tong Lu, Yuan-Cheng Wang, Gao-Jun Teng, Shenghong Ju
Summary: This study investigated interhemispheric functional and anatomical connectivity in Type 2 diabetes mellitus (T2DM) patients and their associations with cognitive performance and endocrine parameters. Findings revealed disruptions in interhemispheric coordination in T2DM patients, suggesting insulin resistance as a potential therapeutic target for T2DM-related cognitive impairment.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Article
Neuroimaging
Yanxiang Ye, Chengyu Wang, Xiaofeng Lan, Weicheng Li, Ling Fu, Fan Zhang, Haiyan Liu, Kai Wu, Yanling Zhou, Yuping Ning
Summary: The study found that intra-FC related to the DMN is a prognostic marker that can potentially predict early remission of symptoms after anti-depressant treatment, helping to differentiate patients who reach remission from those who do not.
NEUROIMAGE-CLINICAL
(2022)
Article
Clinical Neurology
Danian Li, Hanyue Zhang, Yujie Liu, Xinyu Liang, Yaoping Chen, Yanting Zheng, Shijun Qiu, Ying Cui
Summary: The study revealed altered functional connectivity among key brain regions in Major Depressive Disorder (MDD) patients, including the default mode network, the central executive network, the limbic system, and the cerebellum. Increased functional connectivity between the right posterior cingulate cortex and the right inferior frontal gyrus may be useful for characterizing the pathophysiology of MDD and the functional correlates of phonemic verbal fluency deficits in MDD.
FRONTIERS IN NEUROLOGY
(2021)
Review
Endocrinology & Metabolism
Chris Moran, Stephanie Than, Michele Callisaya, Richard Beare, Velandai Srikanth
Summary: As the prevalence of type 2 diabetes (T2D) and cognitive dysfunction rises with age, clinicians are faced with managing older individuals with both conditions. The association between T2D and cognitive dysfunction has led to an increased interest in exploring the potential causal role of T2D in cognitive decline and dementia. Recent advancements in research methods allow for a better understanding of the mechanistic pathways involved in T2D-related cognitive dysfunction, guiding clinical recommendations.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2022)
Article
Clinical Neurology
Dongsheng Zhang, Yang Huang, Shasha Liu, Jie Gao, Weirui Liu, Wanting Liu, Kai Ai, Xiaoyan Lei, Xiaoling Zhang
Summary: This study aimed to investigate the role of structural and functional alterations of the cingulate gyrus in early cognitive impairment in Type 2 diabetes mellitus patients. The results showed no significant differences in the cortical thickness of the cingulate gyrus between the patients and healthy controls, but the functional connectivity between specific brain regions was significantly different. These findings suggest that the functional connectivity of the cingulate gyrus may play a role in compensatory mechanisms for cognitive impairment in Type 2 diabetes mellitus.
ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY
(2023)
Article
Neurosciences
Wenjiao Lyu, Ye Wu, Haoming Huang, Yuna Chen, Xin Tan, Yi Liang, Xiaomeng Ma, Yue Feng, Jinjian Wu, Shangyu Kang, Shijun Qiu, Pew-Thian Yap
Summary: An increasing number of brain imaging studies are focusing on understanding the neuro mechanism of cognitive impairment in individuals with type 2 diabetes mellitus (T2DM). This study investigates abnormal connectivity in T2DM individuals by analyzing the time-varying properties of brain functional networks. The findings suggest alterations in large-scale resting networks in T2DM individuals and provide insights into the fundamental mechanisms of neurocognitive deficits in T2DM.
COGNITIVE NEURODYNAMICS
(2023)
Article
Neurosciences
Weicheng Li, Chengyu Wang, Xiaofeng Lan, Ling Fu, Fan Zhang, Yanxiang Ye, Haiyan Liu, Kai Wu, Guohui Lao, Jun Chen, Guixiang Li, Yanling Zhou, Yuping Ning
Summary: Accumulating evidence suggests that patients with MDD and SI exhibit structural and functional abnormalities in the PCC. This study investigated the dynamic functional connectivity of PCC subregions in MDD patients with SI using resting-state fMRI data. The results indicate aberrant dFC variability between the vPCC and IFG, which may provide a neural-network explanation for SI and potential targets for therapeutic interventions in MDD patients with SI.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Neurosciences
Xiaona Fu, Mengting Qin, Xiaoming Liu, Lan Cheng, Lan Zhang, Xinli Zhang, Yu Lei, Qidong Zhou, Peng Sun, Liangjie Lin, Ying Su, Jing Wang
Summary: This study investigated the relationship between GABA levels, cortical thickness, and executive function in MCI patients. The results showed that MCI patients had lower GABA+/Cr levels in the ACC and PCC, while there were no differences in cortical thickness between the two groups. Therefore, GABA in the ACC and PCC could be a potential diagnostic marker for the decline in executive function in MCI.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Neurosciences
Dwight F. Newton, Hyunjung Oh, Rammohan Shukla, Keith Misquitta, Corey Fee, Mounira Banasr, Etienne Sibille
Summary: This study investigated the transcriptomic effects of chronic stress on microcircuit cell types in the medial prefrontal cortex of mice. The results showed changes in behavior, dysregulation of gene expression, and reorganization of synaptic connections across different cell types, suggesting a shift in the regulation of cortical excitation-inhibition balance.
BIOLOGICAL PSYCHIATRY
(2022)
Article
Biochemistry & Molecular Biology
Zhixin Wang, Chris Baeken, Guo-Rong Wu
Summary: Early detection of Major Depressive Disorder (MDD) can lead to earlier clinical interventions. The pathological mechanism underlying MDD involves the posterior cingulate cortex (PCC), which exhibits high levels of brain connectivity and metabolic activity. In a study of healthy young adults, a significant negative correlation was found between depression symptoms and the PCC's metabolic connectivity with other brain regions. These findings may have implications for early identification and intervention in individuals at risk of developing depression.
Article
Business
Yang Yang, Yue Liu, Xingyang Lv, Jin Ai, Yifan Li
Summary: This study finds that customers prefer highly human-like AI service agents in high perceived control contexts and less human-like AI service agents in low perceived control contexts. This effect is significant only in social scenarios.
JOURNAL OF HOSPITALITY MARKETING & MANAGEMENT
(2022)
Article
Microbiology
Yifan Li, Xiya Meng, Degang Guo, Jia Gao, Qiwei Huang, Jian Zhang, Reinhard Fischer, Qirong Shen, Zhenzhong Yu
Summary: According to this study, blue light can increase conidial yield and stress resistance in Trichoderma. This is likely due to the upregulation of stress-related genes controlled by blue light receptors and MAP kinases.
Article
Materials Science, Multidisciplinary
Xue Liang Li, Shaozhuan Huang, Dong Yan, Jian Zhang, Daliang Fang, Yew Von Lim, Ye Wang, Tian Chen Li, Yifan Li, Lu Guo, Hui Ying Yang
Summary: In this study, a 3D lithiophilic rGO-Ag-S-CNT composite with interlayer-bridged structure was proposed to guide uniform and stable Li plating/stripping. The composite exhibited lower overpotential, higher Coulombic efficiency, and superior long cycling performance compared to other anode materials.
ENERGY & ENVIRONMENTAL MATERIALS
(2023)
Article
Engineering, Industrial
Yifan Li, Chunjie Wu, Wendong Li, Fugee Tsung
Summary: This article proposes a nonparametric CUSUM charting scheme to monitor passenger flow in urban rapid transit systems. By using a minimum distance criterion and kernel density estimation, this method is able to detect shifts of all sizes sensitively and performs well in practical applications.
Article
Ophthalmology
He-Yan Li, Qiong Yang, Li Dong, Rui-Heng Zhang, Wen-Da Zhou, Hao-Tian Wu, Yi-Fan Li, Wen-Bin Wei
Summary: This study examined the relationship between stroke and ocular diseases, including visual impairment, and found significant associations between visual impairment and major ocular diseases with stroke. The associations were particularly strong for mild visual impairment, moderate/severe visual impairment, and any ocular disease.
Article
Engineering, Electrical & Electronic
Yuequan Wang, Xiaolin Zhou, Yaoyang Wu, Han Wang, Yifan Li, Pengfei Tian, Sirui Xiu
Summary: This paper proposes an iterative photon counting nonorthogonal multiple access-multiple-input-multiple-output (NOMA-MIMO) system based on optical intelligent reflecting surface (IRS). The channel fading coefficient matrix of the NOMA-MIMO system is constructed by analyzing the geometric and misalignment losses under turbulence effect in the optical IRS-based atmospheric channel. A novel iterative parallel interference cancellation algorithm based on logarithmic likelihood ratio is developed for signal detection at the receiver. The reliability of the proposed system is proved through simulation of bit error rate (BER), with a BER performance of 2 x 10-5 at -165 dBJ per bit for the scenario of 3x5 MIMO system. Additionally, the numerical results indicate that the proposed system has a rapid convergence performance in the external information transfer process.
MICROWAVE AND OPTICAL TECHNOLOGY LETTERS
(2023)
Article
Clinical Neurology
Haoming Huang, Xiaomeng Ma, Xiaomei Yue, Shangyu Kang, Yifan Li, Yawen Rao, Yue Feng, Jinjian Wu, Wenjie Long, Yuna Chen, Wenjiao Lyu, Xin Tan, Shijun Qiu
Summary: The white matter of the brain in patients with type 2 diabetes mellitus is susceptible to neurodegenerative processes, resulting in microstructural lesions. Specifically, abnormalities were found in specific portions of the right superior longitudinal fasciculus, right arcuate fasciculus, left anterior thalamic radiation, and forceps major. These abnormalities may be associated with insulin and glucose status as well as blood pressure.
CLINICAL NEURORADIOLOGY
(2023)
Article
Neurosciences
Wenjiao Lyu, Ye Wu, Haoming Huang, Yuna Chen, Xin Tan, Yi Liang, Xiaomeng Ma, Yue Feng, Jinjian Wu, Shangyu Kang, Shijun Qiu, Pew-Thian Yap
Summary: An increasing number of brain imaging studies are focusing on understanding the neuro mechanism of cognitive impairment in individuals with type 2 diabetes mellitus (T2DM). This study investigates abnormal connectivity in T2DM individuals by analyzing the time-varying properties of brain functional networks. The findings suggest alterations in large-scale resting networks in T2DM individuals and provide insights into the fundamental mechanisms of neurocognitive deficits in T2DM.
COGNITIVE NEURODYNAMICS
(2023)
Article
Neurosciences
Mingrui Li, Yifan Li, Kui Zhao, Xin Tan, Yuna Chen, Chunhong Qin, Shijun Qiu, Yi Liang
Summary: This study used multimodal MRI methods to explore the changes in the structure, perfusion, and function of the bilateral hippocampus in type 2 diabetes mellitus, aiming to provide reliable neuroimaging evidence for the diagnosis of hippocampus-related brain injury in T2DM.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Endocrinology & Metabolism
Yifan Li, Mingrui Li, Kui Zhao, Yan Wang, Xin Tan, Chunhong Qin, Yawen Rao, Zhizhong Sun, Limin Ge, Zidong Cao, Yi Liang, Shijun Qiu
Summary: This study found that the stability of dynamic functional architecture is reduced in patients with type 2 diabetes mellitus (T2DM), and there are changes in information flow. The combination of stability and dynamic effective connectivity can show both the stability of dynamic functional architecture and the fluidity of brain information. This is an innovative and interesting attempt to uncover the mechanism of cognitive decline in T2DM patients.
FRONTIERS IN ENDOCRINOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Ruru Chen, Jian Zhao, Yifan Li, Yi Cui, Ying-Rui Lu, Sung-Fu Hung, Shifu Wang, Weijue Wang, Guodong Huo, Yang Zhao, Wei Liu, Junhu Wang, Hai Xiao, Xuning Li, Yanqiang Huang, Bin Liu
Summary: By using experimental and theoretical methods, the metastable state of single-atom Sn in copper oxide was tracked and identified, providing a theoretical basis for the highly selective CO2 electroreduction to CO.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2023)
Article
Chemistry, Multidisciplinary
Shunqin Luo, Hui Song, Fumihiko Ichihara, Mitsutake Oshikiri, Wenning Lu, Dai-Ming Tang, Sijie Li, Yunxiang Li, Yifan Li, Philo Davin, Tetsuya Kako, Huiwen Lin, Jinhua Ye
Summary: In this study, a light activation strategy was demonstrated to regulate the dynamic restructuring of Cu active sites in a TiO2-supported Cu catalyst during low-temperature methanol steam reforming. The thermally deactivated Cu/TiO2 underwent structural restoration from Cu2O to metallic Cu under illumination, leading to significantly enhanced activity and stability. The optimized Cu/TiO2 exhibited a high H-2 production rate under low-intensity solar irradiation, outperforming conventional photocatalytic and thermocatalytic processes. The results suggest the feasibility of real-time functionalization of catalysts through the strong light-matter-reactant interaction.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2023)
Article
Endocrinology & Metabolism
Mingrui Li, Yifan Li, Kui Zhao, Chunhong Qin, Yuna Chen, Yujie Liu, Shijun Qiu, Xin Tan, Yi Liang
Summary: In this study, the effect of type 2 diabetes mellitus (T2DM) on cerebral perfusion was evaluated using cerebral blood flow (CBF), and functional connectivity (FC) analysis was used to explore changes in the FC between abnormal CBF region and the whole brain. Amplitude of low-frequency fluctuation (ALFF) and degree centrality (DC) were also used to investigate changes in spontaneous activity and connectivity strength of the brain network. The study found regions of cerebral hypoperfusion in T2DM patients, which are associated with insulin resistance. Additionally, abnormally elevated brain activity and enhanced functional connectivity were observed in T2DM patients, suggesting a compensatory mechanism of brain neural activity.
Article
Chemistry, Multidisciplinary
Ruru Chen, Jian Zhao, Yifan Li, Yi Cui, Ying-Rui Lu, Sung-Fu Hung, Shifu Wang, Weijue Wang, Guodong Huo, Yang Zhao, Wei Liu, Junhu Wang, Hai Xiao, Xuning Li, Yanqiang Huang, Bin Liu
Summary: By using experimental and theoretical approaches, this study successfully tracked and identified the metastable state of single-atom Sn in copper oxide, providing fundamental insights for the highly selective electroreduction of CO2 to produce CO.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2023)
Article
Computer Science, Artificial Intelligence
Likun Xia, Yuan Feng, Ziheng Guo, Jinhong Ding, Yanlei Li, Yifan Li, Ming Ma, Guoxi Gan, Yehan Xu, Jingyu Luo, Zhiping Shi, Yong Guan
Summary: This study proposes an early detection framework based on EEG data for reducing the risk of mental stress-related diseases. The framework, called MuLHiTA, utilizes a multibranch LSTM and hierarchical temporal attention approach to effectively identify mental stress levels. Experimental results demonstrate that MuLHiTA outperforms state-of-the-art algorithms, showcasing its viability for early detection of mental stress.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
