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2. A multiple-tissue-specific magnetic resonance imaging model for diagnosing Parkinson’s disease: a brain radiomics study

Author

Guan, Xiao-Jun, Guo, Tao, Zhou, Cheng, Gao, Ting, Wu, Jing-Jing, Han, Victor, Cao, Steven, Wei, Hong-Jiang, Zhang, Yu-Yao, Xuan, Min, Gu, Quan-Quan, Huang, Pei-Yu, Liu, Chun-Lei, Pu, Jia-Li, Zhang, Bao-Rong, Cui, Feng, Xu, Xiao-Jun, and Zhang, Min-Ming

Subjects
Parkinson's Disease, Biomedical Imaging, Neurodegenerative, Clinical Research, Brain Disorders, Neurosciences, 4.2 Evaluation of markers and technologies, 4.1 Discovery and preclinical testing of markers and technologies, Detection, screening and diagnosis, Neurological, Good Health and Well Being, diagnosis, imaging biomarker, iron, magnetic resonance imaging, neuroimaging, Parkinson's disease, quantitative susceptibility mapping, R2*mapping, radiomics, T1-weighted imaging, Parkinson’s disease
Abstract

Brain radiomics can reflect the characteristics of brain pathophysiology. However, the value of T1-weighted images, quantitative susceptibility mapping, and R2* mapping in the diagnosis of Parkinson's disease (PD) was underestimated in previous studies. In this prospective study to establish a model for PD diagnosis based on brain imaging information, we collected high-resolution T1-weighted images, R2* mapping, and quantitative susceptibility imaging data from 171 patients with PD and 179 healthy controls recruited from August 2014 to August 2019. According to the inclusion time, 123 PD patients and 121 healthy controls were assigned to train the diagnostic model, while the remaining 106 subjects were assigned to the external validation dataset. We extracted 1408 radiomics features, and then used data-driven feature selection to identify informative features that were significant for discriminating patients with PD from normal controls on the training dataset. The informative features so identified were then used to construct a diagnostic model for PD. The constructed model contained 36 informative radiomics features, mainly representing abnormal subcortical iron distribution (especially in the substantia nigra), structural disorganization (e.g., in the inferior temporal, paracentral, precuneus, insula, and precentral gyri), and texture misalignment in the subcortical nuclei (e.g., caudate, globus pallidus, and thalamus). The predictive accuracy of the established model was 81.1 ± 8.0% in the training dataset. On the external validation dataset, the established model showed predictive accuracy of 78.5 ± 2.1%. In the tests of identifying early and drug-naïve PD patients from healthy controls, the accuracies of the model constructed on the same 36 informative features were 80.3 ± 7.1% and 79.1 ± 6.5%, respectively, while the accuracies were 80.4 ± 6.3% and 82.9 ± 5.8% for diagnosing middle-to-late PD and those receiving drug management, respectively. The accuracies for predicting tremor-dominant and non-tremor-dominant PD were 79.8 ± 6.9% and 79.1 ± 6.5%, respectively. In conclusion, the multiple-tissue-specific brain radiomics model constructed from magnetic resonance imaging has the ability to discriminate PD and exhibits the advantages for improving PD diagnosis.

Published
2022

3. Effects of Different Counterpart Materials on the Tribological Behaviors of Ta-C Film

Author

PAN Fa-qing, ZHANG Hao-yang, DING Ji-cheng, ZHAO Zhi-yong, ZHANG Bao-rong, YANG Ying, PENG Xin, ZHENG Jun

Subjects
ta-c film；laser-induced arc；transfer film；graphitization；friction and wear, Materials of engineering and construction. Mechanics of materials, TA401-492, Technology
Abstract

For studying the changing rules of the tribological properties and the related mechanisms of ta-C film in friction against several typical counterpart materials，a ta-C film with a thickness of approximately 1 μm was deposited by the laser-induced arc magnetic filtered vacuum cathode arc technology，and three kinds of counterpart balls with high hardness (WC，Al2O3 and 9Cr18) were used for friction and wear test.The microstructure and tribological properties of the ta-C film were systematically investigated by scanning electron microscopy，X-ray photoelectron spectroscopy，Raman spectrometer，surface profilometer，nano-indentation tester and ball-disk friction and wear equipment.Results showed that the ta-C film possessed extremely low friction coefficients in friction against all the three counterpart materials，and exhibited excellent antiwear and antifriction properties.When Al2O3 counterpart was employed，the friction coefficient of the film was the lowest with a value of around 0.11；when 9Cr18 counterpart was employed，the film showed the lowest wear rate of 4.0×10-7 mm3/(N·m)；and when WC counterpart was employed，the film showed the highest wear rate of 7.6×10-7 mm3/(N·m). Besides，the main wear mechanism of the film was abrasive wear，and a graphitized transfer film with the characteristics of carbon structure was detected on the surfaces of all the counterparts.

Published
2023
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7. Embracing Monogenic Parkinson's Disease: The MJFF Global Genetic PD Cohort

Author

Vollstedt, Eva-Juliane, Schaake, Susen, Lohmann, Katja, Padmanabhan, Shalini, Brice, Alexis, Lesage, Suzanne, Tesson, Christelle, Vidailhet, Marie, Wurster, Isabel, Hentati, Faycel, Mirelman, Anat, Giladi, Nir, Marder, Karen, Waters, Cheryl, Fahn, Stanley, Kasten, Meike, Brüggemann, Norbert, Borsche, Max, Foroud, Tatiana, Tolosa, Eduardo, Garrido, Alicia, Annesi, Grazia, Gagliardi, Monica, Bozi, Maria, Stefanis, Leonidas, Ferreira, Joaquim J, Correia Guedes, Leonor, Avenali, Micol, Petrucci, Simona, Clark, Lorraine, Fedotova, Ekaterina Y, Abramycheva, Natalya Y, Alvarez, Victoria, Menéndez-González, Manuel, Jesús Maestre, Silvia, Gómez-Garre, Pilar, Mir, Pablo, Belin, Andrea Carmine, Ran, Caroline, Lin, Chin-Hsien, Kuo, Ming-Che, Crosiers, David, Wszolek, Zbigniew K, Ross, Owen A, Jankovic, Joseph, Nishioka, Kenya, Funayama, Manabu, Clarimon, Jordi, Williams-Gray, Caroline H, Camacho, Marta, Cornejo-Olivas, Mario, Torres-Ramirez, Luis, Wu, Yih-Ru, Lee-Chen, Guey-Jen, Morgadinho, Ana, Pulkes, Teeratorn, Termsarasab, Pichet, Berg, Daniela, Kuhlenbäumer, Gregor, Kühn, Andrea A, Borngräber, Friederike, De Michele, Giuseppe, De Rosa, Anna, Zimprich, Alexander, Puschmann, Andreas, Mellick, George D, Dorszewska, Jolanta, Carr, Jonathan, Ferese, Rosangela, Gambardella, Stefano, Chase, Bruce, Markopoulou, Katerina, Satake, Wataru, Toda, Tatsushi, Rossi, Malco, Merello, Marcelo, Lynch, Timothy, Olszewska, Diana A, Lim, Shen-Yang, Ahmad-Annuar, Azlina, Tan, Ai Huey, Al-Mubarak, Bashayer, Hanagasi, Hasmet, Koziorowski, Dariusz, Ertan, Sibel, Genç, Gençer, De Carvalho Aguiar, Patricia, Barkhuizen, Melinda, Pimentel, Marcia MG, Saunders-Pullman, Rachel, Van De Warrenburg, Bart, Bressman, Susan, Toft, Mathias, Appel-Cresswell, Silke, Lang, Anthony E, Skorvanek, Matej, Boon, Agnita JW, Krüger, Rejko, Sammler, Esther M, Tumas, Vitor, Zhang, Bao-Rong, Garraux, Gaetan, Chung, Sun Ju, Kim, Yun Joong, Winkelmann, Juliane, Sue, Carolyn M, Tan, Eng-King, Damásio, Joana, Klivényi, Péter, Kostic, Vladimir S, Arkadir, David, Martikainen, Mika, Borges, Vanderci, Hertz, Jens Michael, Brighina, Laura, Spitz, Mariana, Suchowersky, Oksana, Riess, Olaf, Das, Parimal, Mollenhauer, Brit, Gatto, Emilia M, Petersen, Maria Skaalum, Hattori, Nobutaka, Wu, Ruey-Meei, Illarioshkin, Sergey N, Valente, Enza Maria, Aasly, Jan O, Aasly, Anna, Alcalay, Roy N, Thaler, Avner, Farrer, Matthew J, Brockmann, Kathrin, Corvol, Jean-Christophe, Klein, Christine, MJFF Global Genetic Parkinson's Disease Study Group, Vollstedt, Ej, Schaake, S, Lohmann, K, Padmanabhan, S, Brice, A, Lesage, S, Tesson, C, Vidailhet, M, Wurster, I, Hentati, F, Mirelman, A, Giladi, N, Marder, K, Waters, C, Fahn, S, Kasten, M, Brüggemann, N, Borsche, M, Foroud, T, Tolosa, E, Garrido, A, Annesi, G, Gagliardi, M, Bozi, M, Stefanis, L, Ferreira, Jj, Correia Guedes, L, Avenali, M, Petrucci, S, Clark, L, Fedotova, Ey, Abramycheva, Ny, Alvarez, V, Menéndez-González, M, Jesús Maestre, S, Gómez-Garre, P, Mir, P, Belin, Ac, Ran, C, Lin, Ch, Kuo, Mc, Crosiers, D, Wszolek, Zk, Ross, Oa, Jankovic, J, Nishioka, K, Funayama, M, Clarimon, J, Williams-Gray, Ch, Camacho, M, Cornejo-Olivas, M, Torres-Ramirez, L, Wu, Yr, Lee-Chen, Gj, Morgadinho, A, Pulkes, T, Termsarasab, P, Berg, D, Kuhlenbäumer, G, Kühn, Aa, Borngräber, F, de Michele, G, De Rosa, A, Zimprich, A, Puschmann, A, Mellick, Gd, Dorszewska, J, Carr, J, Ferese, R, Gambardella, S, Chase, B, Markopoulou, K, Satake, W, Toda, T, Rossi, M, Merello, M, Lynch, T, Olszewska, Da, Lim, Sy, Ahmad-Annuar, A, Tan, Ah, Al-Mubarak, B, Hanagasi, H, Koziorowski, D, Ertan, S, Genç, G, de Carvalho Aguiar, P, Barkhuizen, M, Pimentel, Mmg, Saunders-Pullman, R, van de Warrenburg, B, Bressman, S, Toft, M, Appel-Cresswell, S, Lang, Ae, Skorvanek, M, Boon, Ajw, Krüger, R, Sammler, Em, Tu, Repositório da Universidade de Lisboa, Clinical Genetics, Neurology, Internal Medicine, Aasly, Anna, Aasly, Jan O, Abramycheva, Natalya Y, Ahmad-Annuar, Azlina, Albanese, Alberto, Alcalay, Roy N, Aldakheel, Amaal, Alkhairallah, Thamer, Al-Mubarak, Bashayer, Al-Tassan, Nada, Alvarez, Victoria, Amami, Paolo, Annesi, Grazia, Appel-Cresswell, Silke, Leite, Marco Antonio Araujo, Arkadir, David, Avenali, Micol, Ferraz, Henrique Ballalai, Bardien, Soraya, Barkhuizen, Melinda, Barrett, Matthew J, Başak, A Nazlı, Berg, Daniela, Bilgic, Basar, Bloem, Bastiaan R, Bonifati, Vincenzo, Boon, Agnita J W, Borges, Vanderci, Borngräber, Friederike, Borsche, Max, Bozi, Maria, Bressman, Susan, Brice, Alexis, Brighina, Laura, Brockmann, Kathrin, Brüggemann, Norbert, Camacho, Marta, Belin, Andrea Carmine, Carr, Jonathan, Cesarini, Martin Emiliano, Cornejo-Olivas, Mario, Chase, Bruce, Chung, Sun Ju, Guedes, Leonor Correia, Clarimon, Jordi, Clark, Lorraine, Corvol, Jean-Christophe, Crosiers, David, Das, Parimal, de Carvalho Aguiar, Patricia, Damásio, Joana, de Michele, Giuseppe, De Rosa, Anna, Dieguez, Elena, Dorszewska, Jolanta, Ertan, Sibel, Fahn, Stanley, Farrer, Matthew J, Fedotova, Ekaterina Y, Ferese, Rosangela, Ferreira, Joaquim J, Foroud, Tatiana, Funayama, Manabu, Fung, Victor S C, Gagliardi, Monica, Gambardella, Stefano, Garraux, Gaetan, Garrido, Alicia, Gatto, Emilia M, Genç, Gençer, Giladi, Nir, Gómez-Garre, Pilar, Hanagasi, Hasmet, Hattori, Nobutaka, Hentati, Faycel, Hertz, Jens Michael, Illarioshkin, Sergey N, Jankovic, Joseph, Januario, Cristina, Maestre, Silvia Jesús, Kaasinen, Valtteri, Kasten, Meike, Kataoka, Hiroshi, Kievit, Anneke A, Kim, Yun Joong, Klein, Christine, Klivényi, Péter, Kostic, Vladimir S, Koziorowski, Dariusz, Krüger, Rejko, Kühn, Andrea, Kuhlenbäumer, Gregor, Kuo, Ming-Che, Lang, Anthony E, Lee-Chen, Guey-Jen, Lesage, Suzanne, Lim, Jia Lun, Lim, Shen-Yang, Lin, Chin-Hsien, Lohmann, Katja, Lynch, Timothy, Marder, Karen, Markopoulou, Katerina, Martikainen, Mika, May, Patrick, McCarthy, Allan, Mellick, George D, Menéndez-González, Manuel, Merello, Marcelo, Mir, Pablo, Mirelman, Anat, Mollenhauer, Brit, Briceno, Hugo Morales, Morgadinho, Ana, Morris, Huw, Mosejova, Alexandra, Nishioka, Kenya, Çakmak, Özgür Öztop, Olszewska, Diana A, Orr-Urtreger, Avi, Pachchek, Sinthuja, Padmanabhan, Shalini, Periñán, Maria Teresa, Petrucci, Simona, Pimentel, Marcia M G, Procopio, Radha, Pulkes, Teeratorn, Puschmann, Andreas, Ran, Caroline, Riess, Olaf, Ross, Owen A, Rossi, Malco, Ruiz-Martinez, Javier, Sammler, Esther M, Pereira, João Santos, Satake, Wataru, Saunders-Pullman, Rachel, Schaake, Susen, Petersen, Maria Skaalum, Skorvanek, Matej, Stefanis, Leonidas, Soto-Beasley, Alexandra I, Sousa, Mário, Spitz, Mariana, Suchowersky, Oksana, Sue, Carolyn M, Tan, Ai Huey, Tan, Eng-King, Thaler, Avner, Tepgeç, Fatih, Termsarasab, Pichet, Tesson, Christelle, Toda, Tatsushi, Toft, Mathias, Tolosa, Eduardo, Torres-Ramirez, Luis, Tumas, Vitor, Uyguner, Oya, Valente, Enza Maria, van de Warrenburg, Bart, Vidailhet, Marie, Vollstedt, Eva-Juliane, Walton, Ronald L, Waters, Cheryl, Williams-Gray, Caroline H, Winkelmann, Juliane, Wu, Yih-Ru, Wurster, Isabel, Wszolek, Zbigniew K, Wu, Ruey-Meei, Zhang, Bao-Rong, Zimprich, Alexander, Vollstedt, Eva-Juliane [0000-0002-6898-9201], Lohmann, Katja [0000-0002-5121-1460], Mirelman, Anat [0000-0002-1520-2292], Brüggemann, Norbert [0000-0001-5969-6899], Borsche, Max [0000-0002-9651-5986], Tolosa, Eduardo [0000-0002-3781-0854], Ferreira, Joaquim J [0000-0003-3950-5113], Alvarez, Victoria [0000-0002-1916-2523], Mir, Pablo [0000-0003-1656-302X], Kuo, Ming-Che [0000-0003-3688-0225], Ross, Owen A [0000-0003-4813-756X], Nishioka, Kenya [0000-0001-8607-9757], Williams-Gray, Caroline H [0000-0002-2648-9743], Camacho, Marta [0000-0002-1490-5703], Cornejo-Olivas, Mario [0000-0001-6313-5680], Wu, Yih-Ru [0000-0003-1191-2542], Termsarasab, Pichet [0000-0002-3260-3119], Borngräber, Friederike [0000-0001-9650-6820], Zimprich, Alexander [0000-0002-1668-5177], Gambardella, Stefano [0000-0002-3727-4502], Chase, Bruce [0000-0001-5491-7242], Olszewska, Diana A [0000-0002-1814-8834], Tan, Ai Huey [0000-0002-2979-3839], Barkhuizen, Melinda [0000-0002-9952-7085], Appel-Cresswell, Silke [0000-0002-5986-1468], Skorvanek, Matej [0000-0001-5497-8715], Sammler, Esther M [0000-0003-3218-7116], Zhang, Bao-Rong [0000-0002-8099-7407], Chung, Sun Ju [0000-0003-4118-8233], Apollo - University of Cambridge Repository, and MJFF Global Genetic Parkinson's Disease Study Group

Subjects
parkinson's disease, monogenic pd, monogenic PD, Parkinson's disease, Monogenic PD, Parkinson Disease, Disorders of movement Donders Center for Medical Neuroscience [Radboudumc 3], ddc, Neurology, genetics [Parkinson Disease], Mutation, Humans, Human medicine, ddc:610, Neurology (clinical), Research Article, Research Articles
Abstract

© 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited., Background: As gene-targeted therapies are increasingly being developed for Parkinson's disease (PD), identifying and characterizing carriers of specific genetic pathogenic variants is imperative. Only a small fraction of the estimated number of subjects with monogenic PD worldwide are currently represented in the literature and availability of clinical data and clinical trial-ready cohorts is limited. Objective: The objectives are to (1) establish an international cohort of affected and unaffected individuals with PD-linked variants; (2) provide harmonized and quality-controlled clinical characterization data for each included individual; and (3) further promote collaboration of researchers in the field of monogenic PD. Methods: We conducted a worldwide, systematic online survey to collect individual-level data on individuals with PD-linked variants in SNCA, LRRK2, VPS35, PRKN, PINK1, DJ-1, as well as selected pathogenic and risk variants in GBA and corresponding demographic, clinical, and genetic data. All registered cases underwent thorough quality checks, and pathogenicity scoring of the variants and genotype-phenotype relationships were analyzed. Results: We collected 3888 variant carriers for our analyses, reported by 92 centers (42 countries) worldwide. Of the included individuals, 3185 had a diagnosis of PD (ie, 1306 LRRK2, 115 SNCA, 23 VPS35, 429 PRKN, 75 PINK1, 13 DJ-1, and 1224 GBA) and 703 were unaffected (ie, 328 LRRK2, 32 SNCA, 3 VPS35, 1 PRKN, 1 PINK1, and 338 GBA). In total, we identified 269 different pathogenic variants; 1322 individuals in our cohort (34%) were indicated as not previously published. Conclusions: Within the MJFF Global Genetic PD Study Group, we (1) established the largest international cohort of affected and unaffected individuals carrying PD-linked variants; (2) provide harmonized and quality-controlled clinical and genetic data for each included individual; (3) promote collaboration in the field of genetic PD with a view toward clinical and genetic stratification of patients for gene-targeted clinical trials. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society., Michael J. Fox Foundation for Parkinson's Research. Grant Number: ID 15015.02. NIHR Cambridge Biomedical Research Centre. Grant Number: BRC-1215-20014

Published
2023

8. Elevated serum anti‐Saccharomyces cerevisiae antibody accompanied by gut mycobiota dysbiosis as a biomarker of diagnosis in patients with de novo Parkinson disease.

Author

Chen, Ying, Zhang, Li‐Ying, Fang, Yi, Li, Chuan, Xia, Dan‐Dan, Zhang, Gong, Wen, Yi, Zhang, Song‐Zhao, Hu, Liu, Gu, Lu‐Yan, Liu, Yi, Tian, Jun, Yan, Ya‐Ping, Yin, Xin‐Zhen, Tao, Zhi‐Hua, Zhang, Bao‐Rong, and Pu, Jia‐Li

Subjects
INFLAMMATORY bowel diseases, PARKINSON'S disease, FUNGI, DYSBIOSIS, ENZYME-linked immunosorbent assay, TREMOR
Abstract

Background and purpose: Intestinal inflammation and gut microbiota dysbiosis contribute to Parkinson disease (PD) pathogenesis, and growing evidence suggests associations between inflammatory bowel diseases (IBD) and PD. Considered as markers of chronic gastrointestinal inflammation, elevated serum anti‐Saccharomyces cerevisiae antibody (ASCA) levels, against certain gut fungal components, are related to IBD, but their effect on PD is yet to be investigated. Methods: Serum ASCA IgG and IgA levels were measured using an enzyme‐linked immunosorbent assay, and the gut mycobiota communities were investigated using ITS2 sequencing and analyzed using the Qiime pipeline. Results: The study included 393 subjects (148 healthy controls [HCs], 140 with PD, and 105 with essential tremor [ET]). Both serum ASCA IgG and IgA levels were significantly higher in the PD group than in the ET and HC groups. Combining serum ASCA levels and the occurrence of constipation could discriminate patients with PD from controls (area under the curve [AUC] = 0.81, 95% confidence interval [CI] = 0.76–0.86) and from patients with ET (AUC = 0.85, 95% CI = 0.79–0.89). Furthermore, the composition of the gut fungal community differed between the PD and HC groups. The relative abundances of Saccharomyces cerevisiae, Aspergillus, Candida solani, Aspergillus flavus, ASV601_Fungi, ASV866_Fungi, and ASV755_Fungi were significantly higher in the PD group, and enriched Malassezia restricta was found in the HC group. Conclusions: Our study identified elevated serum ASCA levels and enriched gut Saccharomyces cerevisiae in de novo PD. [ABSTRACT FROM AUTHOR]

Published
2023
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13. Elevated serumanti‐ Saccharomycescerevisiae antibody accompanied by gut mycobiota dysbiosis as a biomarker of diagnosis in patients with de novo Parkinson's Disease

Author

Chen, Ying, primary, Zhang, Li‐Ying, additional, Fang, Yi, additional, Li, Chuan, additional, Xia, Dan‐Dan, additional, Zhang, Gong, additional, Wen, Yi, additional, Zhang, Song‐Zhao, additional, Hu, Liu, additional, Gu, Lu‐Yan, additional, Liu, Yi, additional, Tian, Jun, additional, Yan, Ya‐Ping, additional, Yin, Xin‐Zhen, additional, Tao, Zhi‐Hua, additional, Zhang, Bao‐Rong, additional, and Pu, Jia‐Li, additional

Published
2023
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17. Different patterns of exosomal α‐synuclein between Parkinson's disease and probable rapid eye movement sleep behavior disorder

Author

Yan, Yi‐Qun, primary, Pu, Jia‐Li, additional, Zheng, Ran, additional, Fang, Yi, additional, Gu, Lu‐Yan, additional, Guo, Tao, additional, Si, Xiao‐Li, additional, Zhou, Cheng, additional, Chen, Ying, additional, Liu, Yi, additional, Guan, Xiao‐Jun, additional, Xu, Xiao‐Jun, additional, Yan, Ya‐Ping, additional, Yin, Xin‐Zhen, additional, Zhang, Min‐Ming, additional, Tao, Zhi‐Hua, additional, and Zhang, Bao‐Rong, additional

Published
2022
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21. Cholinergic neurons in the pedunculopontine nucleus guide reversal learning by signaling the changing reward contingency

Author

Ruan, Yang, primary, Li, Kai-Yuan, additional, Zheng, Ran, additional, Yan, Yi-Qun, additional, Wang, Zhong-Xuan, additional, Chen, Ying, additional, Liu, Yi, additional, Tian, Jun, additional, Zhu, Li-Ya, additional, Lou, Hui-Fang, additional, Yu, Yan-Qin, additional, Pu, Jia-Li, additional, and Zhang, Bao-Rong, additional

Published
2022
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24. A multiple-tissue-specific magnetic resonance imaging model for diagnosing Parkinson’s disease: a brain radiomics study

Author

Xu, Xiao-Jun, primary, Zhang, Min-Ming, primary, Guan, Xiao-Jun, additional, Guo, Tao, additional, Zhou, Cheng, additional, Gao, Ting, additional, Wu, Jing-Jing, additional, Han, Victor, additional, Cao, Steven, additional, Wei, Hong-Jiang, additional, Zhang, Yu-Yao, additional, Xuan, Min, additional, Gu, Quan-Quan, additional, Huang, Pei-Yu, additional, Liu, Chun-Lei, additional, Pu, Jia-Li, additional, Zhang, Bao-Rong, additional, and Cui, Feng, additional

Published
2022
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27. Associations of Body Mass Index-Metabolic Phenotypes with Cognitive Decline in Parkinson’s Disease

Author

Zhang, Liang, primary, Gu, Lu-Yan, additional, Dai, Shao-bing, additional, Zheng, Ran, additional, Jin, Chong-Yao, additional, Fang, Yi, additional, Yang, Wen-Yi, additional, Tian, Jun, additional, Yin, Xin-Zhen, additional, Zhao, Guo-Hua, additional, Pu, Jia-Li, additional, Zhang, Bao-Rong, additional, Yan, Ya-Ping, additional, and Chen, Ying, additional

Published
2021
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29. Apolipoprotein E Genotype Contributes to Motor Progression in Parkinson's Disease

Author

Pu, Jia‐Li, primary, Jin, Chong‐Yao, additional, Wang, Zhong‐Xuan, additional, Fang, Yi, additional, Li, Yao‐Lin, additional, Xue, Nai‐Jia, additional, Zheng, Ran, additional, Lin, Zhi‐Hao, additional, Yan, Yi‐Qun, additional, Si, Xiao‐Li, additional, Chen, Ying, additional, Liu, Yi, additional, Song, Zhe, additional, Yan, Ya‐Ping, additional, Tian, Jun, additional, Yin, Xin‐Zhen, additional, and Zhang, Bao‐Rong, additional

Published
2021
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31. The effect of the PARK16 rs11240572 variant on brain structure in Parkinson's disease

Author

Gu, Lu-yan, primary, Dai, Shao-bing, additional, Zhou, Cheng, additional, Gao, Ting, additional, Wu, Jing-jing, additional, Fang, Yi, additional, Guan, Xiao-jun, additional, Guo, Tao, additional, Zheng, Ran, additional, Jin, Chongyao, additional, Xu, Xiao-jun, additional, Song, Zhe, additional, Tian, Jun, additional, Yin, Xinzhen, additional, Zhang, Min-min, additional, Zhang, Bao-rong, additional, Yan, Yaping, additional, and Pu, Jiali, additional

Published
2021
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35. sj-pdf-1-tan-10.1177_17562864211021181 – Supplemental material for 7T MRI with post-processing for the presurgical evaluation of pharmacoresistant focal epilepsy

Author

Chen, Cong, Xie, Juan-Juan, Ding, Fang, Jiang, Ya-Si, Jin, Bo, Wang, Shan, Ding, Yao, Li, Hong, Jiang, Biao, Zhu, Jun-Ming, Ding, Mei-Ping, Chen, Zhong, Wu, Zhi-Ying, Zhang, Bao-Rong, Hsu, Yi-Cheng, Lai, Hsin-Yi, and Wang, Shuang

Subjects
FOS: Clinical medicine, 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified, 110904 Neurology and Neuromuscular Diseases
Abstract

Supplemental material, sj-pdf-1-tan-10.1177_17562864211021181 for 7T MRI with post-processing for the presurgical evaluation of pharmacoresistant focal epilepsy by Cong Chen, Juan-Juan Xie, Fang Ding, Ya-Si Jiang, Bo Jin, Shan Wang, Yao Ding, Hong Li, Biao Jiang, Jun-Ming Zhu, Mei-Ping Ding, Zhong Chen, Zhi-Ying Wu, Bao-Rong Zhang, Yi-Cheng Hsu, Hsin-Yi Lai and Shuang Wang in Therapeutic Advances in Neurological Disorders

Published
2021
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41. 7T MRI with post-processing for the presurgical evaluation of pharmacoresistant focal epilepsy

Author

Chen, Cong, primary, Xie, Juan-Juan, additional, Ding, Fang, additional, Jiang, Ya-Si, additional, Jin, Bo, additional, Wang, Shan, additional, Ding, Yao, additional, Li, Hong, additional, Jiang, Biao, additional, Zhu, Jun-Ming, additional, Ding, Mei-Ping, additional, Chen, Zhong, additional, Wu, Zhi-Ying, additional, Zhang, Bao-Rong, additional, Hsu, Yi-Cheng, additional, Lai, Hsin-Yi, additional, and Wang, Shuang, additional

Published
2021
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50. Genetic profile of Chinese patients with Charcot-Marie-Tooth disease

Author

Ouyang, Zhi-Yuan, primary, Chen, You, additional, Qin, Da-Qiang, additional, Cen, Zhi-Dong, additional, Zheng, Xiao-Sheng, additional, Xie, Fei, additional, Chen, Si, additional, Wang, Hao-Tian, additional, Yang, De-Hao, additional, Chen, Xin-Hui, additional, Wang, Le-Bo, additional, Zhang, Bao-Rong, additional, and Luo, Wei, additional

Published
2020
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