Search

Your search keyword '"Wu, Yih-ru"' showing total 767 results
Start Over Author "Wu, Yih-ru"
767 results on '"Wu, Yih-ru"'

1. A worldwide study of white matter microstructural alterations in people living with Parkinson’s disease

Author

Owens-Walton, Conor, Nir, Talia M., Al-Bachari, Sarah, Ambrogi, Sonia, Anderson, Tim J., Aventurato, Ítalo Karmann, Cendes, Fernando, Chen, Yao-Liang, Ciullo, Valentina, Cook, Phil, Dalrymple-Alford, John C., Dirkx, Michiel F., Druzgal, Jason, Emsley, Hedley C. A., Guimarães, Rachel, Haroon, Hamied A., Helmich, Rick C., Hu, Michele T., Johansson, Martin E., Kim, Ho Bin, Klein, Johannes C., Laansma, Max, Lawrence, Katherine E., Lochner, Christine, Mackay, Clare, McMillan, Corey T., Melzer, Tracy R., Nabulsi, Leila, Newman, Ben, Opriessnig, Peter, Parkes, Laura M., Pellicano, Clelia, Piras, Fabrizio, Piras, Federica, Pirpamer, Lukas, Pitcher, Toni L., Poston, Kathleen L., Roos, Annerine, Silva, Lucas Scárdua, Schmidt, Reinhold, Schwingenschuh, Petra, Shahid-Besanti, Marian, Spalletta, Gianfranco, Stein, Dan J., Thomopoulos, Sophia I., Tosun, Duygu, Tsai, Chih-Chien, van den Heuvel, Odile A., van Heese, Eva, Vecchio, Daniela, Villalón-Reina, Julio E., Vriend, Chris, Wang, Jiun-Jie, Wu, Yih-Ru, Yasuda, Clarissa Lin, Thompson, Paul M., Jahanshad, Neda, and van der Werf, Ysbrand

Published
2024
Full Text
View/download PDF

3. Video and Synthetic MRI Pre-training of 3D Vision Architectures for Neuroimage Analysis

Author

Dhinagar, Nikhil J., Singh, Amit, Ozarkar, Saket, Buwa, Ketaki, Thomopoulos, Sophia I., Owens-Walton, Conor, Laltoo, Emily, Chen, Yao-Liang, Cook, Philip, McMillan, Corey, Tsai, Chih-Chien, Wang, J-J, Wu, Yih-Ru, and Thompson, Paul M.

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition
Abstract

Transfer learning represents a recent paradigm shift in the way we build artificial intelligence (AI) systems. In contrast to training task-specific models, transfer learning involves pre-training deep learning models on a large corpus of data and minimally fine-tuning them for adaptation to specific tasks. Even so, for 3D medical imaging tasks, we do not know if it is best to pre-train models on natural images, medical images, or even synthetically generated MRI scans or video data. To evaluate these alternatives, here we benchmarked vision transformers (ViTs) and convolutional neural networks (CNNs), initialized with varied upstream pre-training approaches. These methods were then adapted to three unique downstream neuroimaging tasks with a range of difficulty: Alzheimer's disease (AD) and Parkinson's disease (PD) classification, "brain age" prediction. Experimental tests led to the following key observations: 1. Pre-training improved performance across all tasks including a boost of 7.4% for AD classification and 4.6% for PD classification for the ViT and 19.1% for PD classification and reduction in brain age prediction error by 1.26 years for CNNs, 2. Pre-training on large-scale video or synthetic MRI data boosted performance of ViTs, 3. CNNs were robust in limited-data settings, and in-domain pretraining enhanced their performances, 4. Pre-training improved generalization to out-of-distribution datasets and sites. Overall, we benchmarked different vision architectures, revealing the value of pre-training them with emerging datasets for model initialization. The resulting pre-trained models can be adapted to a range of downstream neuroimaging tasks, even when training data for the target task is limited.

Published
2023

4. Curriculum Based Multi-Task Learning for Parkinson's Disease Detection

Author

Dhinagar, Nikhil J., Owens-Walton, Conor, Laltoo, Emily, Boyle, Christina P., Chen, Yao-Liang, Cook, Philip, McMillan, Corey, Tsai, Chih-Chien, Wang, J-J, Wu, Yih-Ru, van der Werf, Ysbrand, and Thompson, Paul M.

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Quantitative Biology - Quantitative Methods
Abstract

There is great interest in developing radiological classifiers for diagnosis, staging, and predictive modeling in progressive diseases such as Parkinson's disease (PD), a neurodegenerative disease that is difficult to detect in its early stages. Here we leverage severity-based meta-data on the stages of disease to define a curriculum for training a deep convolutional neural network (CNN). Typically, deep learning networks are trained by randomly selecting samples in each mini-batch. By contrast, curriculum learning is a training strategy that aims to boost classifier performance by starting with examples that are easier to classify. Here we define a curriculum to progressively increase the difficulty of the training data corresponding to the Hoehn and Yahr (H&Y) staging system for PD (total N=1,012; 653 PD patients, 359 controls; age range: 20.0-84.9 years). Even with our multi-task setting using pre-trained CNNs and transfer learning, PD classification based on T1-weighted (T1-w) MRI was challenging (ROC AUC: 0.59-0.65), but curriculum training boosted performance (by 3.9%) compared to our baseline model. Future work with multimodal imaging may further boost performance., Comment: Accepted for publication at the 20th IEEE International Symposium on Biomedical Imaging, ISBI 2023

Published
2023

13. Impact of comorbidities on relapsing rates of Neuromyelitis Optica Spectrum Disorders: Insights from a longitudinal study in Taiwan

Author

Hsu, Jung Lung, primary, Cheng, Mei-Yun, additional, Su, Jen Jen, additional, Liao, Ming-Feng, additional, Kuo, Hung-Chou, additional, Chu, Chun-Che, additional, Chen, Chiung-Mei, additional, Chang, Kuo-Hsuan, additional, Chang, Chun-Wei, additional, Wu, Yih-Ru, additional, Huang, Chin-Chang, additional, Bai, Chyi-Huey, additional, and Ro, Long-Sun, additional

Published
2024
Full Text
View/download PDF

16. Small Molecules Inducing Autophagic Degradation of Expanded Polyglutamine Protein through Interaction with Both Mutant ATXN3 and LC3.

Author

Lin, Te-Hsien, Chen, Wan-Ling, Hsu, Shao-Fan, Chen, I-Cheng, Lin, Chih-Hsin, Chang, Kuo-Hsuan, Wu, Yih-Ru, Chen, Yi-Ru, Yao, Ching-Fa, Lin, Wenwei, Lee-Chen, Guey-Jen, and Chen, Chiung-Mei

Subjects
TUBULINS, SMALL molecules, SPINOCEREBELLAR ataxia, CHEMICAL derivatives, REACTIVE oxygen species, IMMUNOPRECIPITATION
Abstract

Polyglutamine (polyQ)-mediated spinocerebellar ataxia (SCA), including SCA1, 2, 3, 6, 7, and 17, are caused by mutant genes with expanded CAG repeats, leading to the intracellular accumulation of aggregated proteins, the production of reactive oxygen species, and cell death. Among SCA, SCA3 is caused by a mutation in the ATXN3 (ataxin-3) gene. In a circumstance of polyQ aggregation, the autophagic pathway is induced to degrade the aggregated proteins, thereby suppressing downstream deleterious effects and promoting neuronal survival. In this study, we tested the effects of synthetic indole (NC009-1, -2, -3, -6) and coumarin (LM-022, -031) derivatives as chemical chaperones to assist mutant ATXN3-Q75 folding, as well as autophagy inducers to clear aggregated protein. Among the tested compounds, NC009-1, -2, and -6 and LM-031 interfered with Escherichia coli-derived ATXN3-Q75 aggregation in thioflavin T binding and filter trap assays. In SH-SY5Y cells expressing GFP-fused ATXN3-Q75, these compounds displayed aggregation-inhibitory and neurite growth-promoting potentials compared to untreated cells. Furthermore, these compounds activated autophagy by increasing the phosphatidylethanolamine-conjugated LC3 (microtubule associated protein 1 light chain 3)-II:cytosolic LC3-I ratio in these cells. A biochemical co-immunoprecipitation assay by using a mixture of HEK 293T cell lysates containing recombinant ATXN3-Q75-Venus-C-terminus (VC) or Venus-N-terminus (VN)-LC3 protein indicated that NC009-1 and -2 and LM-031 served as an autophagosome-tethering compound (ATTEC) to interact with ATXN3-Q75 and LC3, and the interaction was further confirmed by bimolecular fluorescence complementation analysis in cells co-expressing both ATXN3-Q75-VC and VN-LC3 proteins. The study results suggest the potential of NC009-1 and -2 and LM-031 as an ATTEC in treating SCA3 and, probably, other polyQ diseases. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

17. Delivering patient-centered care in Parkinson's disease: Challenges and consensus from an international panel

Author

Bhidayasiri, Roongroj, Panyakaew, Pattamon, Trenkwalder, Claudia, Jeon, Beomseok, Hattori, Nobutaka, Jagota, Priya, Wu, Yih-Ru, Moro, Elena, Lim, Shen-Yang, Shang, Huifang, Rosales, Raymond, Lee, Jee-Young, Thit, Win Min, Tan, Eng-King, Lim, Thien Thien, Tran, Ngoc Tai, Binh, Nguyen Thanh, Phoumindr, Appasone, Boonmongkol, Thanatat, Phokaewvarangkul, Onanong, Thongchuam, Yuwadee, Vorachit, Somchit, Plengsri, Rachaneewan, Chokpatcharavate, Marisa, and Fernandez, Hubert H.

Published
2020
Full Text
View/download PDF

19. Video and synthetic MRI pre-training of 3D vision architectures for neuroimage analysis

Author

Dhinagar, Nikhil J., primary, Singh, Amit, additional, Ozarkar, Saket S., additional, Buwa, Ketaki U., additional, Thomopoulos, Sophia, additional, Owens-Walton, Conor, additional, Laltoo, Emily, additional, Chen, Yao-Liang, additional, Cook, Philip A., additional, McMillan, Corey, additional, Tsai, Chih-Chien, additional, Wang, J-J, additional, Wu, Yih-Ru, additional, and Thompson, Paul M., additional

Published
2024
Full Text
View/download PDF

23. Parkinson's disease in the Western Pacific Region

Author

Lim, Shen-Yang, Tan, Ai Huey, Ahmad-Annuar, Azlina, Klein, Christine, Tan, Louis C S, Rosales, Raymond L, Bhidayasiri, Roongroj, Wu, Yih-Ru, Shang, Hui-Fang, Evans, Andrew H, Pal, Pramod K, Hattori, Nobutaka, Tan, Chong Tin, Jeon, Beomseok, Tan, Eng-King, and Lang, Anthony E

Published
2019
Full Text
View/download PDF

25. A Worldwide Study of White Matter Microstructural Alterations in People Living with Parkinson’s Disease

Author

Owens-Walton, Conor, primary, Nir, Talia M., additional, Al-Bachari, Sarah, additional, Ambrogi, Sonia, additional, Anderson, Tim J., additional, Aventurato, Ítalo Karmann, additional, Cendes, Fernando, additional, Chen, Yao-Liang, additional, Ciullo, Valentina, additional, Cook, Phil, additional, Dalrymple-Alford, John C., additional, Dirkx, Michiel F., additional, Druzgal, Jason, additional, Emsley, Hedley C. A., additional, Guimarães, Rachel, additional, Haroon, Hamied A., additional, Helmich, Rick C., additional, Hu, Michele T., additional, Johansson, Martin E., additional, Kim, Ho Bin, additional, Klein, Johannes C., additional, Laansma, Max, additional, Lawrence, Katherine E., additional, Lochner, Christine, additional, Mackay, Clare, additional, McMillan, Corey, additional, Melzer, Tracy R., additional, Nabulsi, Leila, additional, Newman, Ben, additional, Opriessnig, Peter, additional, Parkes, Laura M., additional, Pellicano, Clelia, additional, Piras, Fabrizio, additional, Piras, Federica, additional, Pirpamer, Lukas, additional, Pitcher, Toni L., additional, Poston, Kathleen L., additional, Roos, Annerine, additional, Silva, Lucas Scárdua, additional, Schmidt, Reinhold, additional, Schwingenschuh, Petra, additional, Shahid, Marian, additional, Spalletta, Gianfranco, additional, Stein, Dan J., additional, Thomopoulos, Sophia I., additional, Tosun, Duygu, additional, Tsai, Chih-Chien, additional, van den Heuvel, Odile A., additional, van Heese, Eva, additional, Vecchio, Daniela, additional, Villalón-Reina, Julio E., additional, Vriend, Chris, additional, Wang, Jiun-Jie, additional, Wu, Yih-Ru, additional, Yasuda, Clarissa Lin, additional, Thompson, Paul M., additional, Jahanshad, Neda, additional, and van der Werf, Ysbrand, additional

Published
2024
Full Text
View/download PDF

26. Diagnostic Potential of Alternations of Bile Acid Profiles in the Plasma of Patients with Huntington's Disease.

Author

Chiang, Ping-I, Chang, Kuo-Hsuan, Tang, Hsiang-Yu, Wu, Yih-Ru, Cheng, Mei-Ling, and Chen, Chiung-Mei

Subjects
HUNTINGTON disease, BILE acids, CHOLESTEROL metabolism, URSODEOXYCHOLIC acid, METABOLIC disorders
Abstract

Huntington's disease (HD) is characterized by progressive involuntary chorea movements and cognitive decline. Recent research indicates that metabolic disturbance may play a role in its pathogenesis. Bile acids, produced during cholesterol metabolism in the liver, have been linked to neurodegenerative conditions. This study investigated variations in plasma bile acid profiles among individuals with HD. Plasma levels of 16 primary and secondary bile acids and their conjugates were analyzed in 20 healthy controls and 33 HD patients, including 24 with symptoms (symHD) and 9 carriers in the presymptomatic stage (preHD). HD patients exhibited significantly higher levels of glycochenodeoxycholic acid (GCDCA) and glycoursodeoxycholic acid (GUDCA) compared to healthy controls. Conversely, isolithocholic acid levels were notably lower in the HD group. Neurotoxic bile acids (glycocholic acid (GCA) + glycodeoxycholic acid (GDCA) + GCDCA) were elevated in symHD patients, while levels of neuroprotective bile acids (ursodeoxycholic acid (UDCA) + GUDCA + tauroursodeoxycholic acid (TUDCA)) were higher in preHD carriers, indicating a compensatory response to early neuronal damage. These results underscore the importance of changes in plasma bile acid profiles in HD and their potential involvement in disease mechanisms. The identified bile acids (GCDCA, GUDCA, and isolithocholic acid) could potentially serve as markers to distinguish between HD stages and healthy individuals. Nonetheless, further research is warranted to fully understand the clinical implications of these findings and their potential as diagnostic or therapeutic tools for HD. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

32. 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
Full Text
View/download PDF

33. Coumarin-chalcone hybrid LM-021 and indole derivative NC009-1 targeting inflammation and oxidative stress to protect BE(2)-M17 cells against α-synuclein toxicity

Author

Yang, Pei-Ning, primary, Chen, Wan-Ling, additional, Lee, Jun-Wei, additional, Lin, Chih-Hsin, additional, Chen, Yi-Ru, additional, Lin, Chung-Yin, additional, Lin, Wenwei, additional, Yao, Ching-Fa, additional, Wu, Yih-Ru, additional, Chang, Kuo-Hsuan, additional, Chen, Chiung-Mei, additional, and Lee-Chen, Guey-Jen, additional

Published
2023
Full Text
View/download PDF

38. Comparison of Anatomical and Diffusion MRI for detecting Parkinson’s Disease using Deep Convolutional Neural Network

Author

Chattopadhyay, Tamoghna, primary, Singh, Amit, additional, Laltoo, Emily, additional, Boyle, Christina P., additional, Owens-Walton, Conor, additional, Chen, Yao-Liang, additional, Cook, Philip, additional, McMillan, Corey, additional, Tsai, Chih-Chien, additional, Wang, J-J, additional, Wu, Yih-Ru, additional, van der Werf, Ysbrand, additional, and Thompson, Paul M., additional

Published
2023
Full Text
View/download PDF

44. Comparison of Anatomical and Diffusion MRI for detecting Parkinson’s Disease using Deep Convolutional Neural Network

Author

Chattopadhyay, Tamoghna, Singh, Amit, Laltoo, Emily, Boyle, Christina P., Owens-Walton, Conor, Chen, Yao-Liang, Cook, Philip, McMillan, Corey, Tsai, Chih-Chien, Wang, J-J, Wu, Yih-Ru, van der Werf, Ysbrand, and Thompson, Paul M.

Subjects
Article
Abstract

Parkinson’s disease (PD) is a progressive neurodegenerative disease that affects over 10 million people worldwide. Brain atrophy and microstructural abnormalities tend to be more subtle in PD than in other age-related conditions such as Alzheimer’s disease, so there is interest in how well machine learning methods can detect PD in radiological scans. Deep learning models based on convolutional neural networks (CNNs) can automatically distil diagnostically useful features from raw MRI scans, but most CNN-based deep learning models have only been tested on T1-weighted brain MRI. Here we examine the added value of diffusion-weighted MRI (dMRI) - a variant of MRI, sensitive to microstructural tissue properties - as an additional input in CNN-based models for PD classification. Our evaluations used data from 3 separate cohorts - from Chang Gung University, the University of Pennsylvania, and the PPMI dataset. We trained CNNs on various combinations of these cohorts to find the best predictive model. Although tests on more diverse data are warranted, deep-learned models from dMRI show promise for PD classification.Clinical RelevanceThis study supports the use of diffusion-weighted images as an alternative to anatomical images for AI-based detection of Parkinson’s disease.

Published
2023
Full Text
View/download PDF

50. Embracing Monogenic Parkinson's Disease: The MJFF Global Genetic PD Cohort

Author

Luxembourg Centre for Systems Biomedicine (LCSB): Clinical & Experimental Neuroscience (Krüger Group) [research center], Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group) [research center], Fonds National de la Recherche - FnR [sponsor], MJFF [sponsor], H2020 (Orchestra) [sponsor], 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, Karen, Marder, 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, Gregor, Kuhlenbäumer, Kühn, Andrea A., Borngräber, Friederike, de Michele, Giuseppe, De Rosa, Anna, Zimprich, Alexander, Puschmann, Andreas, Mellick, George D., Jolanta, Dorszewska, Carr, Jonathan, Ferese, Rosangela, Stefano, Gambardella, Chase, Bruce, Markopoulou, Katerina, Wataru, Satake, 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, Gen c, Gen Cer, de Carvalho Aguiar, Patricia, Barkhuizen, Melinda, Pimentel, Marcia M. G., Saunders-Pullman, Rachel, van de Warrenburg, Bart, Bressman, Susan, Toft, Mathias, Appel-Cresswell, Silke, Lang, Anthony E., Skorvanek, Matej, Boon, Agnita J. W., Krüger, Rejko, Sammler, Esther M., Tumas, Vitor, Zhang, Bao-Rong, Garraux, Gaetan, Chung, Sun Ju, Joong, Kim Yun, Winkelmann, Juliane, Sue, Carolyn M., Eng-King, Tan, Damásio, Joana, Klivényi, Péter, Kostic, Vladimir S., Arkadir, David, Martikainen, Mika, Borges, Vanderci, Hertz, Jens Michael, Brighina, Laura, Spitz, Mariana, Suchowersky, Oksana, Riess, Olaf, Parimal, Das, Mollenhauer, Brit, Gatto, Emilia M., Skaalum, Petersen Maria, Wu, Ruey-Meei, Illarioshkin, Sergey N., Valente, Enza Maria, Aasly, Jan O., Aasly, Anna, N, Alcalay Roy, Thaler, Avner, Farrer, Matthew J., Kathrin, Brockmann, Corvol, Jean-Christophe, Klein, Christine, Albanese, Alberto, Alcalay, Roy N., Aldakheel, Amaal, Alkhairallah, Thamer, Bashayer, Al-Mubarak, Al-Tassan, Nada, Paolo, Amami, Araujo, Leite Marco Antonio, Ferraz, Henrique Ballalai, Bardien, Soraya, Melinda, Barkhuizen, Barrett, Matthew J., Ba sak, A. Nazl I, Bilgic, Basar, Bloem, Bastiaan R., Bonifati, Vincenzo, Brockmann, Kathrin, Cesarini, Martin Emiliano, Ju, Chung Sun, Guedes, Leonor Correia, Lorraine, Clark, Dieguez, Elena, Dorszewska, Jolanta, Fung, Victor S. C., Pilar, Gómez-Garre, Hattori, Nobutaka, Faycel, Hentati, Januario, Cristina, Maestre, Silvia Jesús, Kaasinen, Valtteri, Hiroshi, Kataoka, Kievit, Anneke A., Kim, Yun Joong, Christine, Klein, Kuhlenbäumer, Gregor, Lim, Jia Lun, Timothy, Lynch, Marder, Karen, May, Patrick, McCarthy, Allan, Briceno, Hugo Morales, Morris, Huw, Mosejova, Alexandra, Cakmak, Özgür Öztop, Orr-Urtreger, Avi, Pachchek, Sinthuja, Periñ\'an, Maria Teresa, Procopio, Radha, Ruiz-Martinez, Javier, Pereira, João Santos, Satake, Wataru, Soto-Beasley, Alexandra I., Sousa, Mário, Tan, Eng-King, Tepge c, Fatih, Uyguner, Oya, Walton, Ronald L., H, Williams-Gray Caroline, Isabel, Wurster, Bao-Rong, Zhang, Luxembourg Centre for Systems Biomedicine (LCSB): Clinical & Experimental Neuroscience (Krüger Group) [research center], Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group) [research center], Fonds National de la Recherche - FnR [sponsor], MJFF [sponsor], H2020 (Orchestra) [sponsor], 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, Karen, Marder, 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, Gregor, Kuhlenbäumer, Kühn, Andrea A., Borngräber, Friederike, de Michele, Giuseppe, De Rosa, Anna, Zimprich, Alexander, Puschmann, Andreas, Mellick, George D., Jolanta, Dorszewska, Carr, Jonathan, Ferese, Rosangela, Stefano, Gambardella, Chase, Bruce, Markopoulou, Katerina, Wataru, Satake, 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, Gen c, Gen Cer, de Carvalho Aguiar, Patricia, Barkhuizen, Melinda, Pimentel, Marcia M. G., Saunders-Pullman, Rachel, van de Warrenburg, Bart, Bressman, Susan, Toft, Mathias, Appel-Cresswell, Silke, Lang, Anthony E., Skorvanek, Matej, Boon, Agnita J. W., Krüger, Rejko, Sammler, Esther M., Tumas, Vitor, Zhang, Bao-Rong, Garraux, Gaetan, Chung, Sun Ju, Joong, Kim Yun, Winkelmann, Juliane, Sue, Carolyn M., Eng-King, Tan, Damásio, Joana, Klivényi, Péter, Kostic, Vladimir S., Arkadir, David, Martikainen, Mika, Borges, Vanderci, Hertz, Jens Michael, Brighina, Laura, Spitz, Mariana, Suchowersky, Oksana, Riess, Olaf, Parimal, Das, Mollenhauer, Brit, Gatto, Emilia M., Skaalum, Petersen Maria, Wu, Ruey-Meei, Illarioshkin, Sergey N., Valente, Enza Maria, Aasly, Jan O., Aasly, Anna, N, Alcalay Roy, Thaler, Avner, Farrer, Matthew J., Kathrin, Brockmann, Corvol, Jean-Christophe, Klein, Christine, Albanese, Alberto, Alcalay, Roy N., Aldakheel, Amaal, Alkhairallah, Thamer, Bashayer, Al-Mubarak, Al-Tassan, Nada, Paolo, Amami, Araujo, Leite Marco Antonio, Ferraz, Henrique Ballalai, Bardien, Soraya, Melinda, Barkhuizen, Barrett, Matthew J., Ba sak, A. Nazl I, Bilgic, Basar, Bloem, Bastiaan R., Bonifati, Vincenzo, Brockmann, Kathrin, Cesarini, Martin Emiliano, Ju, Chung Sun, Guedes, Leonor Correia, Lorraine, Clark, Dieguez, Elena, Dorszewska, Jolanta, Fung, Victor S. C., Pilar, Gómez-Garre, Hattori, Nobutaka, Faycel, Hentati, Januario, Cristina, Maestre, Silvia Jesús, Kaasinen, Valtteri, Hiroshi, Kataoka, Kievit, Anneke A., Kim, Yun Joong, Christine, Klein, Kuhlenbäumer, Gregor, Lim, Jia Lun, Timothy, Lynch, Marder, Karen, May, Patrick, McCarthy, Allan, Briceno, Hugo Morales, Morris, Huw, Mosejova, Alexandra, Cakmak, Özgür Öztop, Orr-Urtreger, Avi, Pachchek, Sinthuja, Periñ\'an, Maria Teresa, Procopio, Radha, Ruiz-Martinez, Javier, Pereira, João Santos, Satake, Wataru, Soto-Beasley, Alexandra I., Sousa, Mário, Tan, Eng-King, Tepge c, Fatih, Uyguner, Oya, Walton, Ronald L., H, Williams-Gray Caroline, Isabel, Wurster, and Bao-Rong, Zhang

Abstract

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 cl

Published
2023

Catalog

Books, media, physical & digital resources
See catalog results