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- Volume 16, Issue 1, 2017
CNS & Neurological Disorders - Drug Targets (Formerly Current Drug Targets - CNS & Neurological Disorders) - Volume 16, Issue 1, 2017
Volume 16, Issue 1, 2017
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A Feature-Free 30-Disease Pathological Brain Detection System by Linear Regression Classifier
Authors: Yi Chen, Ying Shao, Jie Yan, Ti-Fei Yuan, Yanwen Qu, Elizabeth Lee and Shuihua WangAim: Alzheimer’s disease patients are increasing rapidly every year. Scholars tend to use computer vision methods to develop automatic diagnosis system. (Background) In 2015, Gorji et al. proposed a novel method using pseudo Zernike moment. They tested four classifiers: learning vector quantization neural network, pattern recognition neural network trained by Levenberg-Marquardt, by resilient backpropagation, and by Read More
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Alzheimer’s Disease Detection by Pseudo Zernike Moment and Linear Regression Classification
Authors: Shui-Hua Wang, Sidan Du, Yin Zhang, Preetha Phillips, Le-Nan Wu, Xian-Qing Chen and Yu-Dong ZhangAim: This study presents an improved method based on “Gorji et al. Neuroscience. 2015” by introducing a relatively new classifier—linear regression classification. Method: Our method selects one axial slice from 3D brain image, and employed pseudo Zernike moment with maximum order of 15 to extract 256 features from each image. Finally, linear regression classification was harnessed as the classifier. Results: The Read More
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The Resting-State Functional Connectivity of the Default Mode Networks in Patients With Obstructive Sleep Apnea-Hypopnea Syndrome
Authors: Ting Chen, Ming Yang, Bin Liu, Yu-Ting Liu, Hui-Xin Zhang, Chuan-Chuan Liu, Yue Zhu, Zhi-Chun Huang and Ti-Fei YuanObstructive sleep apnea-hypopnea syndrome (OSAHS) is normally linked to cognitive and functional dysfunctions. In this study, we explored the resting-state functional connectivity (rsFC) in the default mode network (DMN) to show the mechanism of neurophysiology in patients with OSAHS. Resting-state structural and functional Magnetic Resonance Imaging (fMRI) data were obtained from sixteen male moderate-to- severe Read More
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A Pathological Brain Detection System based on Extreme Learning Machine Optimized by Bat Algorithm
Authors: Siyuan Lu, Xin Qiu, Jianping Shi, Na Li, Zhi-Hai Lu, Peng Chen, Meng-Meng Yang, Fang-Yuan Liu, Wen-Juan Jia and Yudong ZhangAim: It is beneficial to classify brain images as healthy or pathological automatically, because 3D brain images can generate so much information which is time consuming and tedious for manual analysis. Among various 3D brain imaging techniques, magnetic resonance (MR) imaging is the most suitable for brain, and it is now widely applied in hospitals, because it is helpful in the four ways of diagnosis, prognosis, pre-surgica Read More
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Novel Mutation of the NOTCH3 Gene in a Chinese Pedigree with CADASIL
Authors: Xiaoxia Hou, Chuan He, Qingwen Jin, Qi Niu, Guang Ren and Hong ChengBackground: Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) results from NOTCH3 gene mutations, which lead to the degeneration of vascular smooth muscle cells (VSMCs). The clinical presentation of CADASIL patients is dependent on the impact of other vascular risk factors and the type of NOTCH3 mutation present. Methods: Here, we report a rare pathogenic mutatio Read More
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The Differential Diagnosis of Multiple Sclerosis Using Convex Combination of Infinite Kernels
Authors: Yeliz Karaca, Yu-Dong Zhang, Carlo Cattani and Ugur AyanOur purpose is to develop a clinical decision support system to classify the patients’ diagnostics based on features gathered from Magnetic Resonance Imaging (MRI) and Expanded Disability Status Scale (EDSS). We studied 120 patients and 19 healthy individuals (not afflicted with MS) have been studied for this study. Healthy individuals in the control group do not have any complaint or drug use history. For the kernel tri Read More
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Functional Connectivity Analysis of Brain Default Mode Networks Using Hamiltonian Path
Authors: Zhuqing Jiao, Kai Ma, Huan Wang, Ling Zou and Jianbo XiangThe aim of this study is to introduce Hamiltonian path to analyze functional connectivity of brain default mode networks (DMNs). Firstly, the brain DMNs in resting state are constructed with the employment of functional Magnetic Resonance Imaging (fMRI) data. Then, the Dijkstra algorithm is used to calculate the shortest path length of the node which represents each brain region, and the Hamiltonian path of the default netw Read More
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Therapeutic Antibodies for Spinal Cord Injury
Authors: Dan-yang Tang and Wei-jiang ZhaoSpinal cord injury (SCI) is a long-lasting damage in the spinal cord that leads to paraparesis, paraplegia, quadriplegia and other lifetime disabilities. The underlying mechanisms responsible for the failure of axonal regeneration after SCI remain only partially understood. Although a spectrum of medical treatments has been made available for this disease, the therapeutic effects remain disappointing. The emergence of antibody Read More
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Current and Future Perspectives on the Major Depressive Disorder: Focus on the New Multimodal Antidepressant Vortioxetine
Authors: Laura Orsolini, Carmine Tomasetti, Alessandro Valchera, Felice Iasevoli, Elisabetta F. Buonaguro, Michele Fornaro, Annastasia L.C. Fiengo, Giovanni Martinotti, Federica Vellante, Ilaria Matarazzo, Roberta Vecchiotti, Giampaolo Perna, Marco Di Nicola, Alessandro Carano, Andrea de Bartolomeis, Massimo Di Giannantonio and Domenico De BerardisBackground: Vortioxetine (VRX) is a multimodal antidepressant that acts as serotonin (5HT) transporter inhibitor as well as 5HT3A and 5HT7 receptors antagonist, 5HT1A and 5HT1B receptors partial agonist. It was recently approved in the US and the EU for the treatment of adult patients with Major Depressive Disorder (MDD). Objective: The present article aims at systematically reviewing findings of the published and unp Read More
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Assessment of Interleukin-17A, Interleukin-10 and Transforming Growth Factor-Beta1 Serum Titers in Relapsing Remitting Multiple Sclerosis Patients Treated with Avonex, Possible Biomarkers for Treatment Response
Introduction: Individual response to interferon beta (IFN-β) 1a treatment is heterogeneous in multiple sclerosis (MS). Our objective was to find a connection between serum levels of interleukin (IL)-10, IL-17 and transforming growth factor beta (TGF-β)1 in MS patients treated with IFN-β in order to identify the nonresponders (NR). Material and Methods: We included in the study 32 healthy subjects and 32 MS patients: 10 nai Read More
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Neuroprotective Effects of Cannabidiol in Hypoxic Ischemic Insult. The Therapeutic Window in Newborn Mice
Authors: Nagat Mohammed, Maria Ceprian, Laura Jimenez, M. Ruth Pazos and Jose Martínez-OrgadoBackground: A relevant therapeutic time window (TTW) is an important criterion for considering the clinical relevance of a substance preventing newborn hypoxic-ischemic (HI) brain damage. Objective: To test the TTW of the neuroprotective effects of cannabidol (CBD), a non-psychoactive cannabinoid in a model of newborn HI brain damage. Method: 9-10 day-old C57BL6 mice underwent a HI insult (10% oxygen for 90 min Read More
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Volumes & issues
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Volume 24 (2025)
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Volume 23 (2024)
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Volume 22 (2023)
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Volume 21 (2022)
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Volume 20 (2021)
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Volume 19 (2020)
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Volume 18 (2019)
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Volume 17 (2018)
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Volume 16 (2017)
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Volume 15 (2016)
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Volume 14 (2015)
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Volume 13 (2014)
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Volume 12 (2013)
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Volume 11 (2012)
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Volume 10 (2011)
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Volume 9 (2010)
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Volume 8 (2009)
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Volume 7 (2008)
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Volume 6 (2007)
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Volume 5 (2006)
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A Retrospective, Multi-Center Cohort Study Evaluating the Severity- Related Effects of Cerebrolysin Treatment on Clinical Outcomes in Traumatic Brain Injury
Authors: Dafin F. Muresanu, Alexandru V. Ciurea, Radu M. Gorgan, Eva Gheorghita, Stefan I. Florian, Horatiu Stan, Alin Blaga, Nicolai Ianovici, Stefan M. Iencean, Dana Turliuc, Horia B. Davidescu, Cornel Mihalache, Felix M. Brehar, Anca . S. Mihaescu, Dinu C. Mardare, Aurelian Anghelescu, Carmen Chiparus, Magdalena Lapadat, Viorel Pruna, Dumitru Mohan, Constantin Costea, Daniel Costea, Claudiu Palade, Narcisa Bucur, Jesus Figueroa and Anton Alvarez
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