Article
Neurosciences
Philip S. Insel, Michael C. Donohue, David Berron, Oskar Hansson, Niklas Mattsson-Carlgren
Summary: The study revealed that changes in key pathological markers A beta and tau in Alzheimer's disease may occur several decades or years before A beta-positivity, while cognitive dysfunction may appear 4-6 years before A beta-positivity, providing potential windows for specific treatments.
Article
Immunology
Barbara J. H. Verhaar, Heleen M. A. Hendriksen, Francisca A. de Leeuw, Astrid S. Doorduijn, Mardou van Leeuwenstijn, Charlotte E. Teunissen, Frederik Barkhof, Philip Scheltens, Robert Kraaij, Cornelia M. van Duijn, Max Nieuwdorp, Majon Muller, Wiesje M. van der Flier
Summary: This study investigated the relationship between gut microbiota composition and AD biomarkers using machine learning models. The results showed that lower abundances of SCFA-producing microbes were associated with higher odds of positive amyloid and p-tau status. The study extends on previous findings by showing associations between gut microbiota composition and specific AD biomarkers.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Neurosciences
Hyun-ju Lee, Jeong-Woo Hwang, Jin-Hee Park, Yoo Joo Jeong, Ji-Yeong Jang, Hyang-Sook Hoe
Summary: Alzheimer's disease (AD) is characterized by pathological features such as beta-amyloid deposition, tau hyperphosphorylation, neuroinflammation, and cognitive impairment. This study investigated the effects of three different tyrosine kinase inhibitors (TKIs) on AD pathology in a mouse model. The results showed that ibrutinib reduced beta-amyloid plaques, tau hyperphosphorylation, and neuroinflammation, while PD180970 exacerbated tau hyperphosphorylation and cabozantinib had limited effects. These findings suggest that not all TKIs have therapeutic effects on AD pathology, highlighting the importance of optimizing their use as novel AD therapeutics.
Article
Clinical Neurology
Emma M. Coomans, Jori Tomassen, Rik Ossenkoppele, Betty M. Tijms, Luigi Lorenzini, Mara ten Kate, Lyduine E. Collij, Fiona Heeman, Roos M. Rikken, Sophie M. van der Landen, Marijke E. den Hollander, Sandeep S. Golla, Maqsood Yaqub, Albert D. Windhorst, Frederik Barkhof, Philip Scheltens, Eco J. C. de Geus, Pieter Jelle Visser, Bart N. M. van Berckel, Anouk den Braber
Summary: The amyloid cascade hypothesis has played a significant role in Alzheimer's disease research and clinical trial designs. This study investigated the relationship between amyloid-beta and tau at the individual and twin-pair levels, aiming to rule out genetic and shared environmental effects as confounders. The findings suggest that the associations between amyloid-beta, tau, neurodegeneration, and cognition are unbiased by genetic factors, and the effects of amyloid-beta on neurodegeneration and cognitive decline are mediated by tau.
Review
Neurosciences
Sheng Tian, Tianyuan Ye, Xiaorui Cheng
Summary: This paper summarizes and comments on the construction methods, pathological changes, and treatment characteristics of commonly used 3 x Tg-AD mouse models in AD research, hoping to provide reference for researchers to choose and establish experimental patterns.
EXPERIMENTAL NEUROLOGY
(2023)
Article
Plant Sciences
Hui-Ling Zhao, Su-Ying Cui, Yu Qin, Yu-Tong Liu, Xiang-Yu Cui, Xiao Hu, Nurhumar Kurban, Ming-Yan Li, Zhen-Hao Li, Jing Xu, Yong-He Zhang
Summary: The study showed that Ganoderma lucidum spores can prevent learning and memory impairments in a rat model of Alzheimer's disease, by reducing Aβ expression, Tau hyperphosphorylation, and modulating the BDNF-TrkB signaling pathway in the hippocampus.
JOURNAL OF ETHNOPHARMACOLOGY
(2021)
Article
Clinical Neurology
Antoine Leuzy, Niklas Mattsson-Carlgren, Nicholas C. Cullen, Erik Stomrud, Sebastian Palmqvist, Renaud La Joie, Leonardo Iaccarino, Henrik Zetterberg, Gil Rabinovici, Kaj Blennow, Shorena Janelidze, Oskar Hansson
Summary: This study examined the comparability of cutoffs for Elecsys immunoassays for different measurements in cerebrospinal fluid (CSF) in predicting Alzheimer's disease (AD)-related outcomes. The results showed that CSF A beta 42/p-tau181 was more robust to measurement variability and may be the preferred measure in clinical practice and trials. The findings also indicated that the use of plasma A beta 42/40 led to a greater number of individuals falling within the gray zone.
ALZHEIMERS & DEMENTIA
(2023)
Article
Virology
Erin E. Sundermann, Laura M. Campbell, Olivia Villers, Mark W. Bondi, Ben Gouaux, David P. Salmon, Douglas Galasko, Virawudh Soontornniyomkij, Ronald J. Ellis, David J. Moore
Summary: We examined the prevalence of AD pathological hallmarks in HIV-infected individuals and found that AD pathology was less prevalent and less severe in HIV-positive individuals compared to HIV-negative individuals. AD pathology was most consistently related to memory-related domains in HIV-positive individuals. Further studies are needed to investigate the effect of HIV status on AD pathology.
Review
Behavioral Sciences
RuoLan Cai, YangYang Wang, ZhenTing Huang, Qian Zou, YinShuang Pu, Changyin Yu, Zhiyou Cai
Summary: ROCK activation can promote the occurrence of Alzheimer's disease and may involve a positive feedback loop between Aβ and ROCK. Additionally, ROCK can also promote the formation of neurofibrillary tangles and exacerbate neuroinflammatory responses.
BEHAVIOURAL BRAIN RESEARCH
(2021)
Article
Clinical Neurology
Geoffroy Gagliardi, Madeline Kuppe, Cristina Lois, Bernard Hanseeuw, Patrizia Vannini
Summary: Impaired self-awareness of memory function, a common symptom in Alzheimer's disease, is associated with higher levels of tau pathology rather than amyloidosis. Discordant subjective and objective memory measures may be clinically significant in the evaluation of AD progression.
ALZHEIMERS RESEARCH & THERAPY
(2021)
Review
Biochemistry & Molecular Biology
Yuanxin Zhao, Buhan Liu, Jian Wang, Long Xu, Sihang Yu, Jiaying Fu, Xiaoyu Yan, Jing Su
Summary: Neuroinflammation mediated by microglia is a common feature in neurodegenerative diseases. The accumulation of Aβ and tau proteins can disrupt the metabolism of microglia, leading to neuroinflammation.
Review
Neurosciences
Lei Huang, Yang Zhang, Yongwei Wang, Yajia Lan
Summary: Degenerative dementia, including Alzheimer's disease, is characterized by gradual deterioration of cognitive function. Chronic noise exposure has been identified as a potential risk factor for cognitive impairment and degenerative dementia, accelerating cognitive dysfunction and pathological changes in the brain. Epidemiological studies are increasingly investigating the association between external noise exposure and dementia, highlighting the need for further research in this area.
JOURNAL OF ALZHEIMERS DISEASE
(2021)
Article
Clinical Neurology
Emma Nichols, Adam M. M. Brickman, Kaitlin B. B. Casaletto, Kristen Dams-O'Connor, Kristen M. M. George, Raj G. G. Kumar, Priya Palta, Jennifer S. S. Rabin, Claudia L. L. Satizabal, Julie Schneider, Judy Pa, Renaud La Joie
Summary: This study used causal mediation methods to investigate the effects of the APOE genotype on cognitive decline and dementia. The results revealed that the detrimental effect of APOE epsilon 4 on cognition was mediated by both Alzheimer's disease (AD) and non-AD neurodegenerative neuropathologies, while non-AD vascular pathologies did not mediate this effect. Additionally, the protective effect of APOE epsilon 2 on cognition was partly mediated by AD neuropathology and was stronger in women.
ALZHEIMERS & DEMENTIA
(2022)
Article
Biochemistry & Molecular Biology
Paige Grant, Jitendra Kumar, Satyabrata Kar, Michael Overduin
Summary: The study investigated the effects of two specific kinase inhibitors for CaMK1D on A beta-mediated toxicity in mouse primary cortical neurons. While these inhibitors were able to prevent A beta-induced tau hyperphosphorylation, they were not able to protect cells from A beta induced toxicity. Further research and development may lead to the potential use of these inhibitors as part of a multi-drug strategy to combat Alzheimer's disease.
Article
Neurosciences
Jun Wang, Dong-Yu Fan, Hui-Yun Li, Chen-Yang He, Ying-Ying Shen, Gui-Hua Zeng, Dong-Wan Chen, Xu Yi, Ya-Hui Ma, Jin-Tai Yu, Yan-Jiang Wang
Summary: This study found that pericyte injury plays an important role in the early stages of AD, even before A beta deposition. The study also found that CSF sPDGFR beta is positively associated with P-tau181 and T-tau, and accelerates A beta-mediated tau hyperphosphorylation. These results suggest that restoring pericyte function may be a target for prevention and early intervention of AD.
MOLECULAR NEURODEGENERATION
(2022)
Article
Engineering, Civil
Yongxuan Lai, Shipeng Yang, Anshu Xiong, Fan Yang, Lei Li, Xiaofang Zhou
Summary: In this article, the authors propose an algorithm called BMCF to solve the taxi-rider matching problem with appointment-based rider requests on a time-dependent road network. The algorithm efficiently integrates and processes both real-time and appointment-based requests, with dynamically adjustable and revocable assignments between vehicles and requests to maximize overall utility.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Saeed Najafipour, Saeid Hosseini, Wen Hua, Mohammad Reza Kangavari, Xiaofang Zhou
Summary: The paper introduces a neural network-based temporal-textual framework to generate subgraphs with highly correlated authors from short-text contents. The method calculates relevance scores between authors through a combination of content and concepts, and extracts communities of related authors using a stack-wise graph cutting algorithm.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Pengpeng Zhao, Anjing Luo, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou
Summary: In this paper, a novel unified neural network framework called NeuNext is proposed to assist next Point-of-Interest (POI) recommendation by joint learning of POI context prediction. Experimental results show that the proposed method outperforms other approaches in terms of Accuracy and MAP for next POI recommendation.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Mengxuan Zhang, Lei Li, Wen Hua, Xiaofang Zhou
Summary: Shortest path query in road network is important in location-based services. With the expansion of business, scalability becomes a more severe issue. Batch shortest path algorithms have been proposed to address this, but existing algorithms have limitations in query efficiency. In this work, we propose query set decomposition methods and batch algorithms to improve query efficiency, as well as stream processing methods. Experiments verify the effectiveness and efficiency of our methods compared to state-of-the-art algorithms.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
An Liu, Yifan Zhang, Xiangliang Zhang, Guanfeng Liu, Yanan Zhang, Zhixu Li, Lei Zhao, Qing Li, Xiaofang Zhou
Summary: This paper proposes a method called At2vec that learns the representation of activity trajectories by considering spatio-temporal characteristics and activity semantics. The similarity between two trajectories is computed using multi-level attention mechanisms, allowing for mining user preferences and applying them to various online tasks.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Chao Wang, Haiyun Jiang, Tao Chen, Jingping Liu, Menghui Wang, Sihang Jiang, Zhixu Li, Yanghua Xiao
Summary: Text classification is crucial in natural language processing and data mining. Understanding the relationships between entities enhances entity semantics comprehension and supports text classification. This study improves existing text classification models by extracting entity features and employing hierarchical graph learning.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Mengxuan Zhang, Lei Li, Goce Trajcevski, Andreas Zufle, Xiaofang Zhou
Summary: This paper discusses the challenges and methods for shortest path computation in frequently evolving small-world networks. By adopting Parallel Shortest-distance Labeling (PSL) as the construction method for 2-hop labeling and designing update mechanisms, the query efficiency and index maintenance effectiveness are improved.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Computer Science, Information Systems
Yunyi Li, Yongjing Hao, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou
Summary: This article proposes an Edge-Enhanced Global Disentangled Graph Neural Network (EGD-GNN) model to capture the relation information between items for global item representation and local user intention learning. Experimental results show that our model can achieve a significant improvement over state-of-the-art baselines and effectively distinguish item features.
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA
(2023)
Article
Nutrition & Dietetics
Mauritz F. Herselman, Sheree Bailey, Permal Deo, Xin-Fu Zhou, Kate M. Gunn, Larisa Bobrovskaya
Summary: Academic stress negatively impacts mental health in undergraduate students, but walnut consumption may have a protective effect against some of these negative impacts. However, further research is needed to understand the sex-dependent mechanisms involved.
Article
Computer Science, Artificial Intelligence
Yu Yang, Hongzhi Yin, Jiannong Cao, Tong Chen, Quoc Viet Hung Nguyen, Xiaofang Zhou, Lei Chen
Summary: Dynamic graphs are graphs whose structure changes over time. Existing approaches only consider dynamic graphs as a sequence of changes in vertex connections, ignoring the asynchronous nature of the dynamics where the evolution of each local structure starts at different times and lasts for various durations. To address this, we propose a novel representation of dynamic graphs as temporal edge sequences associated with joining time of vertices (ToV) and timespan of edges (ToE). We also introduce a time-aware Transformer to embed the dynamic connections and ToEs into learned vertex representations, along with encoding time-sensitive information. Our approach outperforms the state-of-the-art in various graph mining tasks and is efficient for embedding large-scale dynamic graphs.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Yongjing Hao, Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Guanfeng Liu, Xiaofang Zhou
Summary: Sequential recommendation has become crucial in various Internet applications. Existing methods overlook the transition patterns between the features of items, while our proposed model enhances recommendation performance through learning feature-level and item-level sequences.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Mohsen Saaki, Saeid Hosseini, Sana Rahmani, Mohammad Reza Kangavari, Wen Hua, Xiaofang Zhou
Summary: This study highlights the importance of finding suitable individuals to answer questions using short content and identifies the challenges involved. The authors propose a novel embedding approach and recommendation system to overcome these challenges, and provide experimental results to demonstrate its effectiveness.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Yao Tian, Tingyun Yan, Xi Zhao, Kai Huang, Xiaofang Zhou
Summary: This paper proposes a novel indexing approach called LIMS, which uses data clustering, pivot-based data transformation techniques, and learned indexes to support efficient similarity query processing in metric spaces. LIMS partitions the underlying data into clusters with relatively uniform data distribution and utilizes a small number of pivots for data redistribution. Similar data are mapped into compact regions with totally ordinal mapped values. Machine learning models approximate the position of each data record on disk, and efficient algorithms are designed for range queries, nearest neighbor queries, and index maintenance with dynamic updates.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Yan Zhao, Kai Zheng, Yunchuan Li, Jinfu Xia, Bin Yang, Torben Bach Pedersen, Rui Mao, Christian S. Jensen, Xiaofang Zhou
Summary: In spatial crowdsourcing, mobile users are involved in spatio-temporal tasks that require travel to specific locations. The task assignment in spatial crowdsourcing is a challenging problem that needs to be addressed to maximize profits. This study introduces a profit-driven task assignment problem and proposes various algorithms, including an optimal algorithm based on tree decomposition and greedy algorithms based on random tuning optimization. Additionally, a heuristic algorithm based on ant colony optimization is provided to balance effectiveness and efficiency. Extensive experiments using real and synthetic data are conducted to evaluate the proposed methods.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Ming Dong, Bolong Zheng, Guohui Li, Chenliang Li, Kai Zheng, Xiaofang Zhou
Summary: This paper proposes a sequence-to-sequence model, called GCSSI, which takes wavefront as input to solve the problem of multiple rumor source detection. By adopting encoder-decoder structure and graph constraint based multi-task learning, the model estimates the reverse rumor dissemination at each time step and predicts sources in an end-to-end way.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE
(2022)
Review
Clinical Neurology
Oday Atallah, Amr Badary, Yasser F. Almealawy, Vivek Sanker, Wireko Andrew Awuah, Toufik Abdul-Rahman, Sura N. Alrubaye, Bipin Chaurasia
Summary: This study investigates unexpected deaths resulting from primary brain tumors and analyzes the contributing variables. The findings reveal that unexpected deaths are a complex phenomenon, with headache being the most common initial symptom and meningiomas and astrocytomas being the most common lesions.
JOURNAL OF CLINICAL NEUROSCIENCE
(2024)
Article
Clinical Neurology
Alexandra E. Quimby, Mandy K. Salmon, Christopher H. Zhao, John Y. K. Lee, Douglas C. Bigelow, Michael J. Ruckenstein, Jason A. Brant
Summary: The study found that socioeconomic factors including race, health insurance, and income have an impact on the quality of life at the time of vestibular schwannoma diagnosis. Black/African American and uninsured/self-pay patients had lower quality of life, while patients with higher income had higher quality of life.
JOURNAL OF CLINICAL NEUROSCIENCE
(2024)
Review
Clinical Neurology
Arosha S. Dissanayake, Kwok M. Ho, Timothy J. Phillips, Stephen Honeybul, Graeme J. Hankey
Summary: This study systematically reviews models that aim to provide patient-specific predictions of pre-treatment rebleeding risk in patients with aneurysmal subarachnoid hemorrhage. The reported discriminative performance of the models varied, and no model showed consistently low bias risk and clinical applicability in all domains. Only one model was formulated using a patient cohort that underwent contemporary, evidence-based aneurysm treatment practices, but this model lacked calibration or clinical utility.
JOURNAL OF CLINICAL NEUROSCIENCE
(2024)
Article
Clinical Neurology
Colin Kok Ann Teo, Yilong Zheng, Jeremy Bingyuan Lin, Hock Luen Teoh, Bernard Poon Lap Chan, Vijay Kumar Sharma, Kejia Teo, Vincent Diong Weng Nga, Tseng Tsai Yeo
Summary: This study retrospectively reviewed the clinical characteristics and outcomes after surgical revascularization for adult Moyamoya disease (MMD) in a Southeast Asian cohort. The incidence of postoperative transient ischemic attack (TIA)/stroke was 25.9%, with most cases occurring within 7 days postoperatively. Risk factors for 30-day postoperative TIA/stroke included a higher number of preoperative TIAs/strokes and indirect revascularization.
JOURNAL OF CLINICAL NEUROSCIENCE
(2024)
Article
Clinical Neurology
Cheng-Chi Lee, Abel Po-Hao Huang, Ching-Chang Chen, Zhuo-Hao Liu, Mun-Chun Yeap, Ko-Ting Chen, Peng-Wei Hsu, Kuo-Chen Wei, Chun-Ting Chen, Yu-Chi Wang, Ting-Wei Chang, Chi-Cheng Chuang
Summary: Using a novel portable neuroendoscopic system for minimally invasive evacuation of intracerebral hemorrhage (ICH) has shown positive outcomes in reducing hematoma volume and improving neurological function without any death or rebleeding incidents.
JOURNAL OF CLINICAL NEUROSCIENCE
(2024)
Article
Clinical Neurology
Michael M. Haglund, Bruce M. McCormack, Daniel M. Williams, Alexander C. Lemons, Erik M. Summerside
Summary: This study evaluated the long-term radiographic outcomes of patients receiving tissue-sparing posterior cervical fusion (PCF) for the treatment of pseudarthrosis. The results showed that patients achieved rates of arthrodesis similar to open PCF, with fewer postoperative complications and long-term soft tissue pain.
JOURNAL OF CLINICAL NEUROSCIENCE
(2024)
Article
Clinical Neurology
Dong-Dong Meng, Zhe Ruan, Yong-Lan Tang, Zhao-Hua Ji, Yue Su, Tuo Xu, Bo-Zhou Cui, Da-Lin Ren, Ting Chang, Qian Yang
Summary: Depression symptom level, MG severity classification and family's monthly per capita income are independent factors related to the caregivers' disease family burden for MG patients. The daily activity burden of the family and the economic burden of the family were the heaviest among the six dimensions of the caregivers' family disease burdens.
JOURNAL OF CLINICAL NEUROSCIENCE
(2024)
Article
Clinical Neurology
Tugba Ozudogru Celik, Umit Gorgulu, Safiye Gul Kenar, Nadide Koca, Elif Yalcin, Ipek Koymen, Evren Yasar
Summary: This study investigated the forward head posture (FHP), thoracic kyphosis, and their relationship in individuals with migraine compared to healthy controls. The results showed that patients with migraine had a greater FHP and thoracic kyphosis. This suggests that a 3-dimensional objective measurement could be a reliable tool for evaluating posture analysis in clinical practice.
JOURNAL OF CLINICAL NEUROSCIENCE
(2024)
Article
Clinical Neurology
Jason A. Chen, Ari D. Kappel, Erickson F. Torio, David I. Bass, Abdullah Feroze, Nirav J. Patel
Summary: This report presents a case of a 63-year-old woman with a ruptured giant ICA terminus aneurysm, who underwent coil embolization followed by parent vessel sacrifice and high-flow bypass.
JOURNAL OF CLINICAL NEUROSCIENCE
(2024)
Article
Clinical Neurology
Sandeep Kandregula, Sneha Sai Mannam, Shahbaz Saad, Saarang Patel, Visish M. Srinivasan
Summary: A 39-year-old female with a history of smoking and a family predisposition to unruptured aneurysms presented with clinical symptoms of intermittent right-sided headaches, flashes of light, and pulsatile tinnitus. Diagnostic evaluations identified a right occipital arteriovenous malformation (AVM). Treatment involved partial embolization of primary arterial feeders followed by surgical resection, resulting in a successful outcome.
JOURNAL OF CLINICAL NEUROSCIENCE
(2024)
Article
Clinical Neurology
Ari D. Kappel, Jason A. Chen, Joshua I. Chalif, David I. Bass, Erickson F. Torio, Abdullah H. Feroze, Nirav J. Patel
Summary: A 48-year-old male with progressive congestive myelopathy underwent surgical clipping to treat a craniocervical DAVF. Intraoperatively, ICG was used to confirm the solitary inflow.
JOURNAL OF CLINICAL NEUROSCIENCE
(2024)
Article
Clinical Neurology
Aryeh Zolin, Cenai Zhang, Hwai Ooi, Harini Sarva, Hooman Kamel, Neal S. Parikh
Summary: In people with Parkinson's disease, comorbid liver fibrosis is associated with more rapid cognitive decline across multiple domains.
JOURNAL OF CLINICAL NEUROSCIENCE
(2024)
