Article
Health Care Sciences & Services
Chieh-Liang Huang, Ping-Ho Chen, Hsien-Yuan Lane, Ing-Kang Ho, Chia-Min Chung
Summary: This study aimed to identify heroin addicts with specific genetic variants in their dopaminergic reward systems and found multiple genes associated with heroin use and craving scores. The results showed a dose-response relationship between the number of genetic risk alleles and heroin craving scores, suggesting potential implications for predicting relapse risk and developing targeted therapies for heroin addiction.
JOURNAL OF PERSONALIZED MEDICINE
(2021)
Article
Neurosciences
Shuang Liu, Shicong Wang, Min Zhang, Yan Xu, Ziqiang Shao, Longmao Chen, Wenhan Yang, Jun Liu, Kai Yuan
Summary: The study found that abstinent heroin users have differential brain activations to different cues, with drug cues inducing greater activity in left DLPFC, insula, and OFC. Additionally, activation of the left DLPFC and functional coupling with the thalamus may predict craving changes during prolonged abstinence.
Article
Neurosciences
Wenhan Yang, Min Zhang, Fei Tang, Yanyao Du, Li Fan, Jing Luo, Cui Yan, Shicong Wang, Jun Zhang, Kai Yuan, Jun Liu
Summary: This study found that after protracted heroin abstinence, heroin users showed improvements in cortical thickness and resting-state functional connectivity in the brain, leading to enhanced cognition and reduced craving. This indicates that impaired frontal-limbic neurocircuitry in substance-abusing individuals can be partially restored, providing novel scientific evidence for brain circuit recovery associated with cognition and craving.
HUMAN BRAIN MAPPING
(2022)
Article
Neurosciences
Marco Venniro, Rosa A. M. Marino, Jonathan J. Chow, Daniele Caprioli, David H. Epstein, Leslie A. Ramsey, Yavin Shaham
Summary: This article discusses the role of social factors in addiction research using animal models. Social isolation promotes drug use and relapse, while social connections provide protection. The article summarizes the effects of different experimental procedures on opioids and psychostimulants, and suggests future research directions in the addiction field.
JOURNAL OF NEUROSCIENCE
(2022)
Article
Clinical Neurology
Jan Malte Bumb, Patrick Bach, Martin Grosshans, Xenija Wagner, Anne Koopmann, Sabine Vollstadt-Klein, Rilana Schuster, Klaus Wiedemann, Falk Kiefer
Summary: The study suggests that BDNF levels may be associated with neural response and food craving in obese patients, highlighting the importance of considering the BDNF pathway in obesity research and treatment.
EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE
(2021)
Article
Substance Abuse
Violaine Mongeau-Perusse, Suzanne Brissette, Julie Bruneau, Patricia Conrod, Simon Dubreucq, Guillaume Gazil, Emmanuel Stip, Didier Jutras-Aswad
Summary: This study tested the efficacy of CBD for reducing craving and preventing relapse in people with CUD. However, the findings showed that CBD treatment did not reduce cocaine craving or relapse among participants being treated for CUD.
Article
Psychology, Multidisciplinary
Ahmed A. Moustafa, Richard Tindle, Sharon Cashel, Denise Parkes, Enas Mohamed, Eid Abo Hamza
Summary: This review article investigates the relationship between depression, negative mood, and drug abuse, pointing out that depression symptoms could result from heroin use and should be considered in treatment.
CURRENT PSYCHOLOGY
(2022)
Article
Substance Abuse
Mats Ekendahl, Patrik Karlsson
Summary: This article examines how craving is approached and handled in relapse prevention for addiction problems. Drawing upon STS and critical addiction research, the study analyzes how craving is enacted in manuals, training materials, and interviews with professionals. The findings reveal three collateral realities of craving: the materialization of craving, the transcendence of the individual, and the merging of treatment and everyday life. The data suggest that in RP, the brain, cognition, emotions, and behavior are perceived as intervention targets that individuals can transcend and control. This approach relies on the assumption that there are no clear-cut boundaries between identities, settings, or points in time. The article discusses the relevance and implications of treating craving as a stable object and the neoliberal governance of responsibilized individuals initiated by such interventions.
INTERNATIONAL JOURNAL OF DRUG POLICY
(2022)
Article
Substance Abuse
Lei Wang, Feng Hu, Wei Wang, Qiang Li, Yongbin Li, Jia Zhu, Yue Qin, Hong Shi, Wei Li, Yarong Wang
Summary: The study found that the DC values of the right insula and left nucleus accumbens were negatively correlated with relapse frequency. Compared to non-relapsers, relapsers showed significantly decreased functional connectivity between the left nucleus accumbens and inhibitory control circuitry.
DRUG AND ALCOHOL DEPENDENCE
(2021)
Article
Pharmacology & Pharmacy
Ginevra D'Ottavio, Ingrid Reverte, Davide Ragozzino, Maria Meringolo, Michele Stanislaw Milella, Fernando Boix, Marco Venniro, Aldo Badiani, Daniele Caprioli
Summary: This study found that intermittent-access self-administration of heroin in rats intensifies heroin intake and leads to higher concentrations of heroin in the brain. Intermittent-access also increases cue-induced heroin-seeking, particularly in female rats during early abstinence.
BRITISH JOURNAL OF PHARMACOLOGY
(2023)
Article
Substance Abuse
Wenhan Yang, Shicong Wang, Ziqiang Shao, Ru Yang, Fei Tang, Jing Luo, Cui Yan, Jun Zhang, Jiyuan Chen, Jun Liu, Kai Yuan
Summary: The study found that heroin-dependent individuals (HDIs) exhibited decreased structural connectivity of the striatum-medial orbitofrontal cortex circuit and higher impulsivity. These findings suggest that the striatal circuit tract strengths might be a novel potential biomarker in heroin and, potentially, general opioid addiction.
DRUG AND ALCOHOL DEPENDENCE
(2021)
Article
Neurosciences
Andrea Miuli, Giacomo d'Andrea, Mauro Pettorruso, Gianluca Mancusi, Alessio Mosca, Francesco Di Carlo, Giovanni Martinotti, Massimo di Giannantonio
Summary: This article discusses the potential role of Brain-Derived Neurotrophic Factor (BDNF) as a biomarker for the different stages of Cocaine Use Disorder (CUD) and its close relationship with the clinical course of CUD. The authors suggest that finding valuable biomarkers for CUD severity and disease stage could greatly benefit CUD patients.
CURRENT NEUROPHARMACOLOGY
(2022)
Article
Psychology, Multidisciplinary
Hui-Ting Cai, Hong-Wei Zhang, Hui Zheng, Ting Xu, Lin Liu, Xu-Yan Ban, Jian-Zhong Di, Ti-Fei Yuan, Xiao-Dong Han
Summary: We developed and validated a picture library of Chinese foods (PLCF) to facilitate future investigations in food craving research, especially in Chinese cultural contexts. We collected 100 food images representing five subtypes of high-calorie foods, and had participants rate the images based on craving, familiarity, valence, and arousal. The results showed that images of salty foods and sugary drinks induced stronger cravings, particularly in individuals who met the criteria for food addiction.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Behavioral Sciences
Sarah Gerhardt, Sabine Hoffmann, Haoye Tan, Martin Fungisai Gerchen, Peter Kirsch, Sabine Vollstaedt-Klein, Falk Kiefer, Patrick Bach, Bernd Lenz
Summary: This study examined neural reactivity to alcohol cues in patients with AUD, finding no significant sex differences in middle-aged females and males. Previous studies showed sex differences in younger social drinkers, but these differences may not be as relevant in patients with more severe AUD.
FRONTIERS IN BEHAVIORAL NEUROSCIENCE
(2022)
Article
Pharmacology & Pharmacy
Valentina Vengeliene, Rainer Spanagel
Summary: A deficiency in mGlu2 function is identified as a common pathological mechanism underlying alcohol-seeking and relapse behavior. The use of mGlu2/3 agonists and mGlu2 PAMs effectively reduces relapse-like behavior. These drugs may be a potential treatment option for alcohol-dependent patients.
FRONTIERS IN PHARMACOLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Yaxin Shang, Zechen Wei, Hui Hui, Xiaohu Li, Liang Li, Yongqiang Yu, Ligong Lu, Li Li, Hongjun Li, Qi Yang, Meiyun Wang, Meixiao Zhan, Wei Wang, Guanghao Zhang, Xiangjun Wu, Li Wang, Jie Liu, Jie Tian, Yunfei Zha
Summary: Automatic segmentation of infected regions is essential for the diagnosis and assessment of COVID-19 pneumonia. In this study, a two-stage hybrid UNet method is proposed, which achieves accurate segmentation of infected regions. Furthermore, a 3D-ResNet model is trained for COVID-19 pneumonia screening. The results show that the proposed approach performs well in various evaluation metrics and can serve as an efficient assisting tool for radiologists in COVID-19 diagnosis from CT images.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
(2022)
Article
Computer Science, Artificial Intelligence
Liwen Zhang, Lianzhen Zhong, Cong Li, Wenjuan Zhang, Chaoen Hu, Di Dong, Zaiyi Liu, Junlin Zhou, Jie Tian
Summary: This study proposes a novel approach for predicting the overall survival risk of human cancer patients based on CT images. By using a multi-task network with tailored attention modules, the method improves the accuracy of OS risk prediction and achieves good results in clinical stage prediction.
Article
Engineering, Biomedical
Peng Zhang, Jie Liu, Lin Yin, Yu An, Suhui Zhang, Wei Tong, Hui Hui, Jie Tian
Summary: This study proposes an improved reconstruction method to recover small carotid atherosclerotic plaque targets with high resolution in rodents. The results demonstrate that the proposed method achieves higher accuracy in locating and quantifying plaques compared to traditional methods.
PHYSICS IN MEDICINE AND BIOLOGY
(2022)
Article
Multidisciplinary Sciences
Xianghan Zhang, Jingkai Gao, Yingdi Tang, Jie Yu, Si Si Liew, Chaoqiang Qiao, Yutian Cao, Guohuan Liu, Hongyu Fan, Yuqiong Xia, Jie Tian, Kanyi Pu, Zhongliang Wang
Summary: This article presents a method for expanding the repertoire of responsive dyes in biorthogonal chemistry by developing a near-infrared fluorophore that turns on its fluorescence upon biorthogonal reaction. The study discovers a design mechanism for the construction of bioorthogonally activatable NIR fluorophores and demonstrates their potential in sensitive in vivo imaging of tumors.
NATURE COMMUNICATIONS
(2022)
Article
Biochemical Research Methods
Jiaju Cheng, Peng Zhang, Fei Liu, Jie Liu, Hui Hui, Jie Tian, Jianwen Luo
Summary: An end-to-end encoder-decoder network is proposed in this paper to enhance the reconstruction performance of TD-rFMT by directly reconstructing fluorescence yield and lifetime distributions from time-resolved fluorescent signals. The network significantly improves the spatial resolution, positioning accuracy, and accuracy of lifetime values.
BIOMEDICAL OPTICS EXPRESS
(2022)
Article
Oncology
Xiaojun Zeng, Wen Zhu, Wenjun Lin, Jie Tian, Jian Yang, Chihua Fang
Summary: This article introduces the feasibility of laparoscopic extended right posterior sectionectomy and related methods, and demonstrates that virtual liver segment projection and ICG fluorescence imaging can improve the accuracy of the surgery.
ANNALS OF SURGICAL ONCOLOGY
(2023)
Editorial Material
Oncology
Xiaojun Zeng, Wen Zhu, Wenjun Lin, Jie Tian, Jian Yang, Chihua Fang
ANNALS OF SURGICAL ONCOLOGY
(2023)
Article
Oncology
Jingbo Wang, Siyi Li, Kun Wang, Ling Zhu, Lin Yang, Yunjing Zhu, Zhen Zhang, Longwei Hu, Yuan Yuan, Qi Fan, Jiliang Ren, Gongxin Yang, Weilong Ding, Xiaoyu Zhou, Junqi Cui, Chunye Zhang, Ying Yuan, Ruimin Huang, Jie Tian, Xiaofeng Tao
Summary: Real-time fluorescence imaging can improve the detection rate of tumor margins in oral squamous cell carcinoma (SCC) patients. The feasibility of using c-MET-binding peptide-indocyanine green (cMBP-ICG) for intraoperative detection of tumor margins was evaluated in a clinical trial. The application of cMBP-ICG showed high sensitivity and moderate specificity in detecting tumor margins in oral SCC patients.
ANNALS OF SURGICAL ONCOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Changjian Li, Jiahui Mi, Yueqi Wang, Zeyu Zhang, Xiaoyong Guo, Jian Zhou, Zhenhua Hu, Jie Tian
Summary: Fast identification of tumor area is crucial during lung cancer surgery. This study developed a new technology using fluorescent probes to define tumor boundaries and distinguish metastatic lymph nodes, thus improving surgical accuracy.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Xiangjun Wu, Bingxi He, Pengli Gao, Peng Zhang, Yaxin Shang, Liwen Zhang, Jing Zhong, Jingying Jiang, Hui Hui, Jie Tian
Summary: This article proposes a deep learning method to address the sparse-view reconstruction problem in projection MPI. By constructing a simulated data set and using novel projections generated by a projection generative network (PGNet), the temporal resolution of 3D imaging in projection MPI is improved while suppressing streaking artifacts.
Article
Radiology, Nuclear Medicine & Medical Imaging
Yueqi Wang, Changjian Li, Jiaming Zhuo, Hui Hui, Bing Zhou, Jie Tian
Summary: This study presents a dual-reaction fluorescent probe named DR-1, which visualizes Fe(II) and ROS simultaneously, offering great potential to explore the mechanism of ferroptosis both in vitro and in vivo.
MOLECULAR IMAGING AND BIOLOGY
(2023)
Article
Oncology
Zeyu Zhang, Cheng Fang, Yang Zhang, Song Su, Bo Li, Gang Liu, Zhenhua Hu, Jie Tian
Summary: The application of the nano-scale probe IgG-IRDye800CW allows for precise resection of hepatic carcinoma in patients with cirrhosis. Near-infrared window II (NIR-II) fluorescence imaging can detect HCC lesions and provide clear surgical margins, improving surgical precision.
PHOTODIAGNOSIS AND PHOTODYNAMIC THERAPY
(2022)
Article
Biology
Jingyuan Li, Wenfang Sun, Karen M. von Deneen, Xiao Fan, Gang An, Guangbin Cui, Yi Zhang
Summary: In this study, we propose a deep learning network with enhanced global-awareness for automatic thymoma segmentation in preoperative contrast-enhanced computed tomography (CECT) images. The network enhances the global-awareness of convolutional neural networks (CNNs) through multi-level feature interaction and integration. Evaluation results show that the network has superior segmentation performance and generalization ability compared to other state-of-the-art models.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Computer Science, Interdisciplinary Applications
Jingyuan Li, Wenfang Sun, Xiulong Feng, Karen M. von Deneen, Wen Wang, Guangbin Cui, Yi Zhang
Summary: A hybrid CNN-Transformer architecture, TA-Net, was developed for automatic thymoma segmentation. The proposed method achieved better results compared to previous methods, with no significant differences among different tumor types and enhanced phases.
INTELLIGENT MEDICINE
(2023)
Review
Computer Science, Interdisciplinary Applications
Lin Yin, Wei Li, Yang Du, Kun Wang, Zhenyu Liu, Hui Hui, Jie Tian
Summary: This review provides a detailed overview of the research status and future research trends of image reconstruction methods, including system matrix- and x-space-based methods, in Magnetic Particle Imaging (MPI). It also reviews the application of deep learning methods in MPI reconstruction and the current open sources of MPI. Research opinions on MPI reconstruction are presented, aiming to promote the use of MPI in clinical applications.
VISUAL COMPUTING FOR INDUSTRY BIOMEDICINE AND ART
(2022)
