Bioaugmented design and functional evaluation of low damage implantable array electrodes by Ling Wang, Chenrui Zhang, Zhiyan Hao, Siqi Yao, Luge Bai, Joaquim Miguel Oliveira, Pan Wang, Kun Zhang, Chen Zhang, Jiankang He, Rui L. Reis, Dichen Li

“…Implantable neural electrodes are key components of brain-computer interfaces (BCI), but the mismatch in mechanical and biological properties between electrode materials and brain tissue can lead to foreign body reactions and glial scarring, and subsequently compromise the long-term stability of electrical signal transmission. …”
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Correlation of the Changes of Gray Matter Volume with Aβ Deposition and Learning and Memory Abilities in APP/PS1 Mice at Different Periods by Yuhao ZHANG, Hao JIN, Xiufeng ZHANG, Shengxiang LIANG, Weilin LIU, Jing TAO, Lidian CHEN

“…Objective:To analyze the correlation in the changes of cerebral gray matter volume and the ability of memory learning, and the deposition of β-amyloid protein (Aβ) in related brain regions of Alzheimer's disease (AD) double-transgenic APP/PS1 model mice, which is expected to provide reliable behavioral and imaging basis for probing the pathological features of AD animal models.Methods:A total of two groups mice were included in this study, including the wild type (WT) group and the APP/PS1 group, with 36 mice in each group. …”
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Dual-targeting CRISPR-CasRx reduces C9orf72 ALS/FTD sense and antisense repeat RNAs in vitro and in vivo by Liam Kempthorne, Deniz Vaizoglu, Alexander J. Cammack, Mireia Carcolé, Martha J. Roberts, Alla Mikheenko, Alessia Fisher, Pacharaporn Suklai, Bhavana Muralidharan, François Kroll, Thomas G. Moens, Lidia Yshii, Stijn Verschoren, Benedikt V. Hölbling, Francisco C. Moreira, Eszter Katona, Rachel Coneys, Paula de Oliveira, Yong-Jie Zhang, Karen Jansen, Lillian M. Daughrity, Alexander McGown, Tennore M. Ramesh, Ludo Van Den Bosch, Gabriele Lignani, Ahad A. Rahim, Alyssa N. Coyne, Leonard Petrucelli, Jason Rihel, Adrian M. Isaacs

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Protocol for a nested case-control study: identifying neuroimaging biomarkers for the progression of subclinical depression and qi-stagnation constitution to major depressive disor... by Jing Wang, Chengfeng Zhang, Yueqi Zhang, Yuanyuan Liu, Jingli Zhang, Xingwei Fang, Wangyang Xia, Yanzhao Xie, Zhongli Lan, Jinhui Wang, Jinhui Wang, Jinhui Wang, Jinhui Wang, Min Lu, Jun Chen, Jun Chen

“…We then divide the 300 adolescents with SD and QSC into two groups based on whether they progress to MDD after one year. Functional brain networks will be constructed based on 400 regions of interest (ROIs). …”
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SIRT2 and ALDH1A1 as critical enzymes for astrocytic GABA production in Alzheimer’s disease by Mridula Bhalla, Jinhyeong Joo, Daeun Kim, Jeong Im Shin, Yongmin Mason Park, Yeon Ha Ju, Uiyeol Park, Seonguk Yoo, Seung Jae Hyeon, Hyunbeom Lee, Junghee Lee, Hoon Ryu, C. Justin Lee

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Characteristics of TSPO expression in marmoset EAE by Irene Falk, Dragan Maric, Emily Leibovitch, Pascal Sati, Jennifer Lefeuvre, Nicholas J. Luciano, Joseph Guy, Seung-Kwon Ha, David R. Owen, Franklin Aigbirhio, Paul M. Matthews, Daniel S. Reich, Steven Jacobson

“…The 18 kDa Translocator Protein (TSPO) is a mitochondrial protein and positron emission tomography (PET)-imaging target that is highly expressed in MS brain lesions. It is used as an inflammatory biomarker and has been proposed as a therapeutic target. …”
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Multiparameter resting-state functional magnetic resonance imaging as an indicator of neuropsychological changes in Binswanger’s disease with mild cognitive impairment by Haiyi Zhang, Lu Zhang, Juan Lu, Jiajun Yue, Zhengzhen Yuan, Jidan Hu, Qi Yao, Yuting Fu, Guiquan Chen, Jiliang Fang, Jie Zhao

“…The results of ICA revealed that patients diagnosed with BD-MCI exhibited abnormal connectivity patterns across 12 groups of independent components and 5 distinct groups of brain networks. In one group, the internal connectivity within the brain network exhibited abnormalities. …”
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Hydrogen-oxygen mixture inhalation as an adjunctive treatment to home-based exercise in older patients with knee osteoarthritis: an open-label, blinded-endpoint, randomized control... by Chenhui Wang, Mengwei Yan, Yuru Li, Lei Han, Hongqian Wang, Shufeng Jia, Xingchen Liu, Yang Liu, Fan Wu, Baoguo Wang

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Integrating Bulk and Single-Cell Transcriptomic Data to Identify Ferroptosis-Associated Inflammatory Gene in Alzheimer’s Disease by Zhou H, Peng Y, Huo X, Li B, Liu H, Wang J, Zhang G

“…Additionally, we analyzed single-cell RNA-seq (scRNA-seq) data from AD patients’ brain tissue and peripheral blood, combined with scRNA-seq data from experimental autoimmune encephalomyelitis (EAE) mouse brain tissue. …”
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Corrigendum: A clinical practical model for preoperative prediction of visual outcome for pituitary adenoma patients in a retrospective and prospective study by Zijian Zheng, Zijian Zheng, He Wang, Qianxi Chen, Qianxi Chen, Zhicheng Wang, Zhicheng Wang, Jun Fu, Jun Fu, Wenjian Fan, Wenjian Fan, Yuanxiang Lin, Yuanxiang Lin, Dezhi Kang, Dezhi Kang, Dezhi Kang, Changzhen Jiang, Changzhen Jiang, Zhangya Lin, Zhangya Lin, Xiaorong Yan, Xiaorong Yan, Xiaorong Yan

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ROS anchor PAMPs-mediated extracellular HMGB1 self-association and its dimerization enhances pro-inflammatory signaling by Man Sup Kwak, Myeonggil Han, Yong Joon Lee, Seoyeon Choi, Jeonghwa Kim, In Ho Park, Jeon-Soo Shin

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Travelling wave solutions of the reaction-diffusion mathematical model of glioblastoma growth: An Abel equation based approach by Tiberiu Harko, Man Kwong Mak

“…We consider quasi-stationary (travelling wave type) solutions to a nonlinearreaction-diffusion equation with arbitrary, autonomous coefficients,describing the evolution of glioblastomas, aggressive primary brain tumorsthat are characterized by extensive infiltration into the brain and arehighly resistant to treatment. …”
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Classifying Normal and Abnormal Status Based on Video Recordings of Epileptic Patients by Jing Li, Xiantong Zhen, Xianzeng Liu, Gaoxiang Ouyang

“…Based on the experimental results, this scheme obtains a satisfactory classification result and provides a fundamental analysis towards the human-robot interaction with socially assistive robots in caring the patients with epilepsy (or other patients with brain disorders) in order to protect them from injury.…”
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ENCODE: A Sourcebook of Epigenomes and Chromatin Language by Maryam Yavartanoo, Jung Kyoon Choi

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Tau-Reactive Endogenous Antibodies: Origin, Functionality, and Implications for the Pathophysiology of Alzheimer’s Disease by Lenka Hromadkova, Saak Victor Ovsepian

“…Antibodies against tau protein have been documented both in the brain circulatory system and at the periphery, but their origin and role under normal conditions and in AD remain unclear. …”
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Understanding schizophrenia through animal models: The role of environmental stressors by Manojlović Marina

“…Prenatal exposure to infections, such as bacterial lipopolysaccharides (LPS) and viral components such as poly I:C, activates immune responses that lead to long-lasting structural and functional changes in the brain, including hippocampal atrophy and cortical thinning. …”
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Mining EEG with SVM for Understanding Cognitive Underpinnings of Math Problem Solving Strategies by Paul Bosch, Mauricio Herrera, Julio López, Sebastián Maldonado

“…We have developed a new methodology for examining and extracting patterns from brain electric activity by using data mining and machine learning techniques. …”
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Non–Small-Cell Lung Cancer. Unusual Small Bowel Metastasis with Invagination by Miguel Ángel Serra Valdés, Briggette Fernández González, Mariana Medell Gago

“…Metastases are recognized in the brain, ganglion, in the lungs, thyroid, liver, bones and adrenals. …”
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Anesthetic Management for Cesarean Delivery in a Patient with a Gigantic Intracranial Tumor by C. dos Santos e Santos, C. L. Mason, J. S. Neill, B. E. Grayson, A. Calimaran, D. R. Bacon

“…A 31-year-old G5P1 patient with unremarkable past medical history at 29 weeks of gestation was diagnosed with a gigantic left frontotemporal brain mass. Initial clinical management as an inpatient achieved an improvement in the symptoms. …”
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Adversarial confound regression and uncertainty measurements to classify heterogeneous clinical MRI in Mass General Brigham. by Matthew Leming, Sudeshna Das, Hyungsoon Im

“…In this work, we introduce a novel deep learning architecture, MUCRAN (Multi-Confound Regression Adversarial Network), to train a deep learning model on clinical brain MRI while regressing demographic and technical confounding factors. …”
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