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5. Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Author

Pati, Sarthak, Baid, Ujjwal, Edwards, Brandon, Sheller, Micah, Wang, Shih-Han, Reina, G Anthony, Foley, Patrick, Gruzdev, Alexey, Karkada, Deepthi, Davatzikos, Christos, Sako, Chiharu, Ghodasara, Satyam, Bilello, Michel, Mohan, Suyash, Vollmuth, Philipp, Brugnara, Gianluca, Preetha, Chandrakanth J, Sahm, Felix, Maier-Hein, Klaus, Zenk, Maximilian, Bendszus, Martin, Wick, Wolfgang, Calabrese, Evan, Rudie, Jeffrey, Villanueva-Meyer, Javier, Cha, Soonmee, Ingalhalikar, Madhura, Jadhav, Manali, Pandey, Umang, Saini, Jitender, Garrett, John, Larson, Matthew, Jeraj, Robert, Currie, Stuart, Frood, Russell, Fatania, Kavi, Huang, Raymond Y, Chang, Ken, Balana, Carmen, Capellades, Jaume, Puig, Josep, Trenkler, Johannes, Pichler, Josef, Necker, Georg, Haunschmidt, Andreas, Meckel, Stephan, Shukla, Gaurav, Liem, Spencer, Alexander, Gregory S, Lombardo, Joseph, Palmer, Joshua D, Flanders, Adam E, Dicker, Adam P, Sair, Haris I, Jones, Craig K, Venkataraman, Archana, Jiang, Meirui, So, Tiffany Y, Chen, Cheng, Heng, Pheng Ann, Dou, Qi, Kozubek, Michal, Lux, Filip, Michálek, Jan, Matula, Petr, Keřkovský, Miloš, Kopřivová, Tereza, Dostál, Marek, Vybíhal, Václav, Vogelbaum, Michael A, Mitchell, J Ross, Farinhas, Joaquim, Maldjian, Joseph A, Yogananda, Chandan Ganesh Bangalore, Pinho, Marco C, Reddy, Divya, Holcomb, James, Wagner, Benjamin C, Ellingson, Benjamin M, Cloughesy, Timothy F, Raymond, Catalina, Oughourlian, Talia, Hagiwara, Akifumi, Wang, Chencai, To, Minh-Son, Bhardwaj, Sargam, Chong, Chee, Agzarian, Marc, Falcão, Alexandre Xavier, Martins, Samuel B, Teixeira, Bernardo C A, Sprenger, Flávia, Menotti, David, Lucio, Diego R, LaMontagne, Pamela, Marcus, Daniel, Wiestler, Benedikt, Kofler, Florian, Ezhov, Ivan, Metz, Marie, Jain, Rajan, Lee, Matthew, Lui, Yvonne W, McKinley, Richard, Slotboom, Johannes, Radojewski, Piotr, Meier, Raphael, Wiest, Roland, Murcia, Derrick, Fu, Eric, Haas, Rourke, Thompson, John, Ormond, David Ryan, Badve, Chaitra, Sloan, Andrew E, Vadmal, Vachan, Waite, Kristin, Colen, Rivka R, Pei, Linmin, Ak, Murat, Srinivasan, Ashok, Bapuraj, J Rajiv, Rao, Arvind, Wang, Nicholas, Yoshiaki, Ota, Moritani, Toshio, Turk, Sevcan, Lee, Joonsang, Prabhudesai, Snehal, Morón, Fanny, Mandel, Jacob, Kamnitsas, Konstantinos, Glocker, Ben, Dixon, Luke V M, Williams, Matthew, Zampakis, Peter, Panagiotopoulos, Vasileios, Tsiganos, Panagiotis, Alexiou, Sotiris, Haliassos, Ilias, Zacharaki, Evangelia I, Moustakas, Konstantinos, Kalogeropoulou, Christina, Kardamakis, Dimitrios M, Choi, Yoon Seong, Lee, Seung-Koo, Chang, Jong Hee, Ahn, Sung Soo, Luo, Bing, Poisson, Laila, Wen, Ning, Tiwari, Pallavi, Verma, Ruchika, Bareja, Rohan, Yadav, Ipsa, Chen, Jonathan, Kumar, Neeraj, Smits, Marion, van der Voort, Sebastian R, Alafandi, Ahmed, Incekara, Fatih, Wijnenga, Maarten MJ, Kapsas, Georgios, Gahrmann, Renske, Schouten, Joost W, Dubbink, Hendrikus J, Vincent, Arnaud JPE, Bent, Martin J van den, French, Pim J, Klein, Stefan, Yuan, Yading, Sharma, Sonam, Tseng, Tzu-Chi, Adabi, Saba, Niclou, Simone P, Keunen, Olivier, Hau, Ann-Christin, Vallières, Martin, Fortin, David, Lepage, Martin, Landman, Bennett, Ramadass, Karthik, Xu, Kaiwen, Chotai, Silky, Chambless, Lola B, Mistry, Akshitkumar, Thompson, Reid C, Gusev, Yuriy, Bhuvaneshwar, Krithika, Sayah, Anousheh, Bencheqroun, Camelia, Belouali, Anas, Madhavan, Subha, Booth, Thomas C, Chelliah, Alysha, Modat, Marc, Shuaib, Haris, Dragos, Carmen, Abayazeed, Aly, Kolodziej, Kenneth, Hill, Michael, Abbassy, Ahmed, Gamal, Shady, Mekhaimar, Mahmoud, Qayati, Mohamed, Reyes, Mauricio, Park, Ji Eun, Yun, Jihye, Kim, Ho Sung, Mahajan, Abhishek, Muzi, Mark, Benson, Sean, Beets-Tan, Regina G H, Teuwen, Jonas, Herrera-Trujillo, Alejandro, Trujillo, Maria, Escobar, William, Abello, Ana, Bernal, Jose, Gómez, Jhon, Choi, Joseph, Baek, Stephen, Kim, Yusung, Ismael, Heba, Allen, Bryan, Buatti, John M, Kotrotsou, Aikaterini, Li, Hongwei, Weiss, Tobias, Weller, Michael, Bink, Andrea, Pouymayou, Bertrand, Shaykh, Hassan F, Saltz, Joel, Prasanna, Prateek, Shrestha, Sampurna, Mani, Kartik M, Payne, David, Kurc, Tahsin, Pelaez, Enrique, Franco-Maldonado, Heydy, Loayza, Francis, Quevedo, Sebastian, Guevara, Pamela, Torche, Esteban, Mendoza, Cristobal, Vera, Franco, Ríos, Elvis, López, Eduardo, Velastin, Sergio A, Ogbole, Godwin, Oyekunle, Dotun, Odafe-Oyibotha, Olubunmi, Osobu, Babatunde, Shu'aibu, Mustapha, Dorcas, Adeleye, Soneye, Mayowa, Dako, Farouk, Simpson, Amber L, Hamghalam, Mohammad, Peoples, Jacob J, Hu, Ricky, Tran, Anh, Cutler, Danielle, Moraes, Fabio Y, Boss, Michael A, Gimpel, James, Veettil, Deepak Kattil, Schmidt, Kendall, Bialecki, Brian, Marella, Sailaja, Price, Cynthia, Cimino, Lisa, Apgar, Charles, Shah, Prashant, Menze, Bjoern, Barnholtz-Sloan, Jill S, Martin, Jason, and Bakas, Spyridon

Subjects
Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally sharing ample, and importantly diverse, data from multiple sites. However, such centralization is challenging to scale (or even not feasible) due to various limitations. Federated ML (FL) provides an alternative to train accurate and generalizable ML models, by only sharing numerical model updates. Here we present findings from the largest FL study to-date, involving data from 71 healthcare institutions across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, utilizing the largest dataset of such patients ever used in the literature (25,256 MRI scans from 6,314 patients). We demonstrate a 33% improvement over a publicly trained model to delineate the surgically targetable tumor, and 23% improvement over the tumor's entire extent. We anticipate our study to: 1) enable more studies in healthcare informed by large and diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further quantitative analyses for glioblastoma via performance optimization of our consensus model for eventual public release, and 3) demonstrate the effectiveness of FL at such scale and task complexity as a paradigm shift for multi-site collaborations, alleviating the need for data sharing., Comment: federated learning, deep learning, convolutional neural network, segmentation, brain tumor, glioma, glioblastoma, FeTS, BraTS

Published
2022
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7. Case Report: Percutaneous intercostal artery catheterization to treat a difficult-to-access spinal dural arteriovenous fistula [version 1; peer review: awaiting peer review]

Author

Manrique-Zegarra Martiel, Toledano-Illán Carlos, Garcia-Sanchez Maria Jesus, Escartín López Jorge, Puig Josep, Lüttich Alex, Muguruza Trueba Ignacio, Rodriguez-Fernandez Claudio, and Vences Miguel A.

Subjects
Case Report, Articles, Spine, arteriovenous fistula, Peripheral Catheterization (source: MeSH).
Abstract

Spinal dural arteriovenous fistulas (SDAVF) are a subtype of spinal arteriovenous malformation (AVM). Although rare, SDAVF are the most common spinal vascular malformations and have potential devastating neurologic consequences, sometimes irreversible. Originally, they were treated with surgery alone, however endovascular treatment of SDAVF has evolved recently with good results and the understanding of the anatomy plays a key role. The feeder vessel of the AV shunt is supplied by the radiculomedullary or radiculopial artery, the shunt is usually located within the root sleeve of the dura and the SDAVF is drained by the medullary vein via retrograde flow. Generally the endovascular approach uses the catheterization of the segmental arteries; however, aortic thoracolumbar aneurysms can render endovascular access difficult and risky. We present a case where an SDAVF in woman with aneurysmal dilation of the descending aorta and a mural thrombus was successfully treated through percutaneous catheterization of intercostal artery.

Published
2024
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9. The interplay between dietary fatty acids and gut microbiota influences host metabolism and hepatic steatosis

Author

Schoeler, Marc, Ellero-Simatos, Sandrine, Birkner, Till, Mayneris-Perxachs, Jordi, Olsson, Lisa, Brolin, Harald, Loeber, Ulrike, Kraft, Jamie D., Polizzi, Arnaud, Martí-Navas, Marian, Puig, Josep, Moschetta, Antonio, Montagner, Alexandra, Gourdy, Pierre, Heymes, Christophe, Guillou, Hervé, Tremaroli, Valentina, Fernández-Real, José Manuel, Forslund, Sofia K., Burcelin, Remy, and Caesar, Robert

Published
2023
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11. Author Correction: Federated learning enables big data for rare cancer boundary detection

Author

Pati, Sarthak, Baid, Ujjwal, Edwards, Brandon, Sheller, Micah, Wang, Shih-Han, Reina, G. Anthony, Foley, Patrick, Gruzdev, Alexey, Karkada, Deepthi, Davatzikos, Christos, Sako, Chiharu, Ghodasara, Satyam, Bilello, Michel, Mohan, Suyash, Vollmuth, Philipp, Brugnara, Gianluca, Preetha, Chandrakanth J., Sahm, Felix, Maier-Hein, Klaus, Zenk, Maximilian, Bendszus, Martin, Wick, Wolfgang, Calabrese, Evan, Rudie, Jeffrey, Villanueva-Meyer, Javier, Cha, Soonmee, Ingalhalikar, Madhura, Jadhav, Manali, Pandey, Umang, Saini, Jitender, Garrett, John, Larson, Matthew, Jeraj, Robert, Currie, Stuart, Frood, Russell, Fatania, Kavi, Huang, Raymond Y., Chang, Ken, Balaña, Carmen, Capellades, Jaume, Puig, Josep, Trenkler, Johannes, Pichler, Josef, Necker, Georg, Haunschmidt, Andreas, Meckel, Stephan, Shukla, Gaurav, Liem, Spencer, Alexander, Gregory S., Lombardo, Joseph, Palmer, Joshua D., Flanders, Adam E., Dicker, Adam P., Sair, Haris I., Jones, Craig K., Venkataraman, Archana, Jiang, Meirui, So, Tiffany Y., Chen, Cheng, Heng, Pheng Ann, Dou, Qi, Kozubek, Michal, Lux, Filip, Michálek, Jan, Matula, Petr, Keřkovský, Miloš, Kopřivová, Tereza, Dostál, Marek, Vybíhal, Václav, Vogelbaum, Michael A., Mitchell, J. Ross, Farinhas, Joaquim, Maldjian, Joseph A., Yogananda, Chandan Ganesh Bangalore, Pinho, Marco C., Reddy, Divya, Holcomb, James, Wagner, Benjamin C., Ellingson, Benjamin M., Cloughesy, Timothy F., Raymond, Catalina, Oughourlian, Talia, Hagiwara, Akifumi, Wang, Chencai, To, Minh-Son, Bhardwaj, Sargam, Chong, Chee, Agzarian, Marc, Falcão, Alexandre Xavier, Martins, Samuel B., Teixeira, Bernardo C. A., Sprenger, Flávia, Menotti, David, Lucio, Diego R., LaMontagne, Pamela, Marcus, Daniel, Wiestler, Benedikt, Kofler, Florian, Ezhov, Ivan, Metz, Marie, Jain, Rajan, Lee, Matthew, Lui, Yvonne W., McKinley, Richard, Slotboom, Johannes, Radojewski, Piotr, Meier, Raphael, Wiest, Roland, Murcia, Derrick, Fu, Eric, Haas, Rourke, Thompson, John, Ormond, David Ryan, Badve, Chaitra, Sloan, Andrew E., Vadmal, Vachan, Waite, Kristin, Colen, Rivka R., Pei, Linmin, Ak, Murat, Srinivasan, Ashok, Bapuraj, J. Rajiv, Rao, Arvind, Wang, Nicholas, Yoshiaki, Ota, Moritani, Toshio, Turk, Sevcan, Lee, Joonsang, Prabhudesai, Snehal, Morón, Fanny, Mandel, Jacob, Kamnitsas, Konstantinos, Glocker, Ben, Dixon, Luke V. M., Williams, Matthew, Zampakis, Peter, Panagiotopoulos, Vasileios, Tsiganos, Panagiotis, Alexiou, Sotiris, Haliassos, Ilias, Zacharaki, Evangelia I., Moustakas, Konstantinos, Kalogeropoulou, Christina, Kardamakis, Dimitrios M., Choi, Yoon Seong, Lee, Seung-Koo, Chang, Jong Hee, Ahn, Sung Soo, Luo, Bing, Poisson, Laila, Wen, Ning, Tiwari, Pallavi, Verma, Ruchika, Bareja, Rohan, Yadav, Ipsa, Chen, Jonathan, Kumar, Neeraj, Smits, Marion, van der Voort, Sebastian R., Alafandi, Ahmed, Incekara, Fatih, Wijnenga, Maarten M. J., Kapsas, Georgios, Gahrmann, Renske, Schouten, Joost W., Dubbink, Hendrikus J., Vincent, Arnaud J. P. E., van den Bent, Martin J., French, Pim J., Klein, Stefan, Yuan, Yading, Sharma, Sonam, Tseng, Tzu-Chi, Adabi, Saba, Niclou, Simone P., Keunen, Olivier, Hau, Ann-Christin, Vallières, Martin, Fortin, David, Lepage, Martin, Landman, Bennett, Ramadass, Karthik, Xu, Kaiwen, Chotai, Silky, Chambless, Lola B., Mistry, Akshitkumar, Thompson, Reid C., Gusev, Yuriy, Bhuvaneshwar, Krithika, Sayah, Anousheh, Bencheqroun, Camelia, Belouali, Anas, Madhavan, Subha, Booth, Thomas C., Chelliah, Alysha, Modat, Marc, Shuaib, Haris, Dragos, Carmen, Abayazeed, Aly, Kolodziej, Kenneth, Hill, Michael, Abbassy, Ahmed, Gamal, Shady, Mekhaimar, Mahmoud, Qayati, Mohamed, Reyes, Mauricio, Park, Ji Eun, Yun, Jihye, Kim, Ho Sung, Mahajan, Abhishek, Muzi, Mark, Benson, Sean, Beets-Tan, Regina G. H., Teuwen, Jonas, Herrera-Trujillo, Alejandro, Trujillo, Maria, Escobar, William, Abello, Ana, Bernal, Jose, Gómez, Jhon, Choi, Joseph, Baek, Stephen, Kim, Yusung, Ismael, Heba, Allen, Bryan, Buatti, John M., Kotrotsou, Aikaterini, Li, Hongwei, Weiss, Tobias, Weller, Michael, Bink, Andrea, Pouymayou, Bertrand, Shaykh, Hassan F., Saltz, Joel, Prasanna, Prateek, Shrestha, Sampurna, Mani, Kartik M., Payne, David, Kurc, Tahsin, Pelaez, Enrique, Franco-Maldonado, Heydy, Loayza, Francis, Quevedo, Sebastian, Guevara, Pamela, Torche, Esteban, Mendoza, Cristobal, Vera, Franco, Ríos, Elvis, López, Eduardo, Velastin, Sergio A., Ogbole, Godwin, Soneye, Mayowa, Oyekunle, Dotun, Odafe-Oyibotha, Olubunmi, Osobu, Babatunde, Shu’aibu, Mustapha, Dorcas, Adeleye, Dako, Farouk, Simpson, Amber L., Hamghalam, Mohammad, Peoples, Jacob J., Hu, Ricky, Tran, Anh, Cutler, Danielle, Moraes, Fabio Y., Boss, Michael A., Gimpel, James, Veettil, Deepak Kattil, Schmidt, Kendall, Bialecki, Brian, Marella, Sailaja, Price, Cynthia, Cimino, Lisa, Apgar, Charles, Shah, Prashant, Menze, Bjoern, Barnholtz-Sloan, Jill S., Martin, Jason, and Bakas, Spyridon

Published
2023
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19. New remote cerebral microbleeds in acute ischemic stroke: an analysis of the randomized, placebo-controlled WAKE-UP trial

Author

Braemswig, Tim Bastian, Vynckier, Jan, Jensen, Märit, Boutitie, Florent, Galinovic, Ivana, Simonsen, Claus Z., Cheng, Bastian, Cho, Tae-Hee, Scheitz, Jan F., Fiehler, Jens, Puig, Josep, Thijs, Vincent, Fiebach, Jochen B., Muir, Keith W., Nighoghossian, Norbert, Ebinger, Martin, Pedraza, Salvador, Thomalla, Götz, Gerloff, Christian, Endres, Matthias, Lemmens, Robin, Schlemm, Ludwig, and Nolte, Christian H.

Published
2022
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20. Presence of Blastocystis in gut microbiota is associated with cognitive traits and decreased executive function

Author

Mayneris-Perxachs, Jordi, Arnoriaga-Rodríguez, María, Garre-Olmo, Josep, Puig, Josep, Ramos, Rafael, Trelis, Maria, Burokas, Aurelijus, Coll, Clàudia, Zapata-Tona, Cristina, Pedraza, Salvador, Pérez-Brocal, Vicente, Ramió, Lluís, Ricart, Wifredo, Moya, Andrés, Jové, Mariona, Sol, Joaquim, Portero-Otin, Manuel, Pamplona, Reinald, Maldonado, Rafael, and Fernández-Real, José Manuel

Published
2022
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22. Contributors

Author

Aghajani, Samira, primary, Ahmadi, Mazaher, additional, Akimitsu, Nobuyoshi, additional, Aldecoa, Iban, additional, Alves, José Luís, additional, Aran, Veronica, additional, Archilla, Ivan, additional, Arrieta, Oscar, additional, Arora, Geetanjali, additional, Bal, C.S., additional, Balaña, Carmen, additional, Balça-Silva, Joana, additional, Barbosa, Marcos, additional, Basso, João, additional, Behrooz, Amir Barzegar, additional, Bramini, Mattia, additional, Bruno, Francesco, additional, Cabral, Célia, additional, Cardona, Andrés F., additional, Carrato, Cristina, additional, Casalino, Simona, additional, Cascão, Rita, additional, Castagnola, Valentina, additional, Castañer Llanes, Sara, additional, Castelo-Branco, Miguel, additional, Clark, Courtney, additional, Coelho-Santos, Vanessa, additional, Cook, Alexander B., additional, Costa, Bárbara, additional, Costa, Bruno M., additional, Costa, Gustavo, additional, Costabile, Gabriella, additional, Cova, Tânia F.G.G., additional, Dabiri, Seyed Mohammad Hossein, additional, Daher, Ahmad, additional, Delgado, Jéssica, additional, Díaz-Lanza, Ana María, additional, Domenech, Marta, additional, Domínguez-Martín, Eva María, additional, Dubois, Luiz Gustavo, additional, Duskey, Jason T., additional, Efferth, Thomas, additional, Faria, Claudia C., additional, Fortuna, Ana, additional, Garcia-Robledo, Juan Esteban, additional, Ghavami, Saeid, additional, Gimeno, Alfredo, additional, Gomes, Célia M.F., additional, Guerreiro, Joana F., additional, Halder, Ankit, additional, Hernandez, Ainhoa, additional, Hernández Santana, Electra Eduina, additional, Kesari, Santosh, additional, Lopez-Rueda, Antonio, additional, Madrakian, Tayyebeh, additional, Magalhães, Mariana, additional, Manadas, Bruno, additional, Martins, Cláudia, additional, Matias, Diana, additional, Mendes, Filipa, additional, Mendes, Maria, additional, Miller, Donald W., additional, Moran, Teresa, additional, Moreira, Ana, additional, Moreno, Montse, additional, Moschetta, Matteo, additional, Mosquera, Andrés, additional, Moura-Neto, Vivaldo, additional, Mukherjee, Arani, additional, Nunes, Sandra C.C., additional, Oleaga, Laura, additional, Ordoñez, Camila, additional, Pacheco, Catarina, additional, Pais, Alberto A.C.C., additional, Paulo, António, additional, Pellerino, Alessia, additional, Pereira, Mariana, additional, Pineda, Estela, additional, Pinto, Catarina I.G., additional, Prakash, Prasoon, additional, Pronello, Edoardo, additional, Puig, Josep, additional, Ribalta, Teresa, additional, Rijo, Patrícia, additional, Rojas, Katerina, additional, Rudà, Roberta, additional, Saba, Luca, additional, Sarmento, Bruno, additional, Schlich, Michele, additional, Sengupta, Shreoshi, additional, Silva, Fernando, additional, Silva, Francisco, additional, Somasundaram, Kumaravel, additional, Sousa, João, additional, Srivastava, Sanjeeva, additional, Tosi, Giovanni, additional, Trevisani, Martina, additional, Vale, Nuno, additional, Varela, Carla, additional, Verma, Ayushi, additional, Vieito, Maria, additional, Vitorino, Carla, additional, Vitorino, Rui, additional, Walsh, Tavia, additional, and Yathindranath, Vinith, additional

Published
2023
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23. The role of radiogenomics

Author

Puig, Josep, primary, Lopez-Rueda, Antonio, additional, Oleaga, Laura, additional, Gimeno, Alfredo, additional, and Saba, Luca, additional

Published
2023
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25. Macrovascular Networks on Contrast-Enhanced Magnetic Resonance Imaging Improves Survival Prediction in Newly Diagnosed Glioblastoma.

Author

Puig, Josep, Biarnés, Carles, Daunis-I-Estadella, Pepus, Blasco, Gerard, Gimeno, Alfredo, Essig, Marco, Balaña, Carme, Alberich-Bayarri, Angel, Jimenez-Pastor, Ana, Camacho, Eduardo, Thio-Henestrosa, Santiago, Capellades, Jaume, Sanchez-Gonzalez, Javier, Navas-Martí, Marian, Domenech-Ximenos, Blanca, Del Barco, Sonia, Puigdemont, Montserrat, Leiva-Salinas, Carlos, Wintermark, Max, Jain, Rajan, Pedraza, Salvador, and Nael, Kambiz

Subjects
angiogenesis, biomarker, glioblastoma, magnetic resonance imaging, survival
Abstract

A higher degree of angiogenesis is associated with shortened survival in glioblastoma. Feasible morphometric parameters for analyzing vascular networks in brain tumors in clinical practice are lacking. We investigated whether the macrovascular network classified by the number of vessel-like structures (nVS) visible on three-dimensional T1-weighted contrast⁻enhanced (3D-T1CE) magnetic resonance imaging (MRI) could improve survival prediction models for newly diagnosed glioblastoma based on clinical and other imaging features. Ninety-seven consecutive patients (62 men; mean age, 58 ± 15 years) with histologically proven glioblastoma underwent 1.5T-MRI, including anatomical, diffusion-weighted, dynamic susceptibility contrast perfusion, and 3D-T1CE sequences after 0.1 mmol/kg gadobutrol. We assessed nVS related to the tumor on 1-mm isovoxel 3D-T1CE images, and relative cerebral blood volume, relative cerebral flow volume (rCBF), delay mean time, and apparent diffusion coefficient in volumes of interest for contrast-enhancing lesion (CEL), non-CEL, and contralateral normal-appearing white matter. We also assessed Visually Accessible Rembrandt Images scoring system features. We used ROC curves to determine the cutoff for nVS and univariate and multivariate cox proportional hazards regression for overall survival. Prognostic factors were evaluated by Kaplan-Meier survival and ROC analyses. Lesions with nVS > 5 were classified as having highly developed macrovascular network; 58 (60.4%) tumors had highly developed macrovascular network. Patients with highly developed macrovascular network were older, had higher volumeCEL, increased rCBFCEL, and poor survival; nVS correlated negatively with survival (r = -0.286; p = 0.008). On multivariate analysis, standard treatment, age at diagnosis, and macrovascular network best predicted survival at 1 year (AUC 0.901, 83.3% sensitivity, 93.3% specificity, 96.2% PPV, 73.7% NPV). Contrast-enhanced MRI macrovascular network improves survival prediction in newly diagnosed glioblastoma.

Published
2019

26. Microbiota alterations in proline metabolism impact depression

Author

Mayneris-Perxachs, Jordi, Castells-Nobau, Anna, Arnoriaga-Rodríguez, María, Martin, Miquel, de la Vega-Correa, Lisset, Zapata, Cristina, Burokas, Aurelijus, Blasco, Gerard, Coll, Clàudia, Escrichs, Anira, Biarnés, Carles, Moreno-Navarrete, José María, Puig, Josep, Garre-Olmo, Josep, Ramos, Rafel, Pedraza, Salvador, Brugada, Ramón, Vilanova, Joan Carles, Serena, Joaquín, Gich, Jordi, Ramió-Torrentà, Lluís, Pérez-Brocal, Vicente, Moya, Andrés, Pamplona, Reinald, Sol, Joaquim, Jové, Mariona, Ricart, Wifredo, Portero-Otin, Manuel, Deco, Gustavo, Maldonado, Rafael, and Fernández-Real, José Manuel

Published
2022
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27. Multimodal neuroimaging in Long-COVID and its correlates with cognition 1.8 years after SARS-CoV-2 infection: a cross-sectional study of the Aliança ProHEpiC-19 Cognitiu.

Author

Dacosta-Aguayo, Rosalia, Torán-Monserrat, Pere, Carmona-Cervelló, Meritxell, León-Gómez, Brenda Biaani, Mataró, Maria, Puig, Josep, Monté-Rubio, Gemma, López-Lifante, Victor M., Manresa-Domínguez, Josep Maria, Zamora-Putin, Valeria, Montero-Alia, Pilar, Chacón, Carla, Bielsa-Pascual, Jofre, Moreno-Gabriel, Eduard, García-Sierra, Rosa, Rodríguez-Pérez, M. Carmen, Costa-Garrido, Anna, Prado, Julia G., Martínez-Cáceres, Eva, and Mateu, Lourdes

Subjects
MAGNETIC resonance imaging, DIFFUSION tensor imaging, FUNCTIONAL magnetic resonance imaging, POST-acute COVID-19 syndrome, FALSE discovery rate
Abstract

Introduction: There is a growing interest in the effect of Long-COVID (LC) on cognition, and neuroimaging allows us to gain insight into the structural and functional changes underlying cognitive impairment in LC. We used multimodal neuroimaging data in combination with neuropsychological evaluations to study cognitive complaints in a cohort of LC patients with mild to moderate severity symptoms. Methods: We conducted a 3T brain magnetic resonance imaging (MRI) study with diffusion tensor imaging (DTI) and functional MRI (fMRI) sequences on 53 LC patients 1.8 years after acute COVID-19 onset. We administered neuropsychological tests to evaluate cognitive domains and examined correlations with Tract-Based Spatial Statistics (TBSS) and resting state. Results: We included 53 participants with LC (mean age, 48.23 years; 88.7% females). According to the Frascati criteria, more than half of the participants had deficits in the executive (59%) and attentional (55%) domains, while 40% had impairments in the memory domain. Only one participant (1.89%) showed problems in the visuospatial and visuoconstructive domain. We observed that increased radial diffusivity in different white matter tracts was negatively correlated with the memory domain. Our results showed that higher resting state activity in the fronto-parietal network was associated with lower memory performance. Moreover, we detected increased functional connectivity among the bilateral hippocampus, the right hippocampus and the left amygdala, and the right hippocampus and the left middle temporal gyrus. These connectivity patterns were inversely related to memory and did not survive false discovery rate (FDR) correction. Discussion: People with LC exhibit cognitive impairments linked to long-lasting changes in brain structure and function, which justify the cognitive alterations detected. [ABSTRACT FROM AUTHOR]

Published
2024
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29. Resting-State Functional Connectivity Magnetic Resonance Imaging and Outcome After Acute Stroke.

Author

Puig, Josep, Blasco, Gerard, Alberich-Bayarri, Angel, Schlaug, Gottfried, Deco, Gustavo, Biarnes, Carles, Navas-Martí, Marian, Rivero, Mireia, Gich, Jordi, Figueras, Jaume, Torres, Cristina, Daunis-I-Estadella, Pepus, Oramas-Requejo, Celia, Serena, Joaquín, Stinear, Cathy, Kuceyeski, Amy, Soriano-Mas, Carles, Thomalla, Götz, Essig, Marco, Figley, Chase, Menon, Bijoy, Demchuk, Andrew, Wintermark, Max, Liebeskind, David, Pedraza, Salvador, and Nael, Kambiz

Subjects
brain, magnetic resonance imaging, patients, reperfusion, stroke, Aged, Aged, 80 and over, Brain, Brain Ischemia, Female, Functional Laterality, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Neural Pathways, Stroke
Abstract

Background and Purpose- Physiological effects of stroke are best assessed over entire brain networks rather than just focally at the site of structural damage. Resting-state functional magnetic resonance imaging can map functional-anatomic networks by analyzing spontaneously correlated low-frequency activity fluctuations across the brain, but its potential usefulness in predicting functional outcome after acute stroke remains unknown. We assessed the ability of resting-state functional magnetic resonance imaging to predict functional outcome after acute stroke. Methods- We scanned 37 consecutive reperfused stroke patients (age, 69±14 years; 14 females; 3-day National Institutes of Health Stroke Scale score, 6±5) on day 3 after symptom onset. After imaging preprocessing, we used a whole-brain mask to calculate the correlation coefficient matrices for every paired region using the Harvard-Oxford probabilistic atlas. To evaluate functional outcome, we applied the modified Rankin Scale at 90 days. We used region of interest analyses to explore the functional connectivity between regions and graph-computation analysis to detect differences in functional connectivity between patients with good functional outcome (modified Rankin Scale score ≤2) and those with poor outcome (modified Rankin Scale score >2). Results- Patients with good outcome had greater functional connectivity than patients with poor outcome. Although 3-day National Institutes of Health Stroke Scale score was the most accurate independent predictor of 90-day modified Rankin Scale (84.2%), adding functional connectivity increased accuracy to 94.7%. Preserved bilateral interhemispheric connectivity between the anterior inferior temporal gyrus and superior frontal gyrus and decreased connectivity between the caudate and anterior inferior temporal gyrus in the left hemisphere had the greatest impact in favoring good prognosis. Conclusions- These data suggest that information about functional connectivity from resting-state functional magnetic resonance imaging may help predict 90-day stroke outcome.

Published
2018

30. El 'Match Point' en psicología forense II. Discapacidades intelectuales : 10 casos clínicos de estudios e investigaciones idiográfico-forenses entre víctimas y victimarios y 7 sentencias de Audiencias Provinciales de España

Author

Tiffon, Bernat-N., Puig, Josep Solé, González, Pau, Fernandez, Jorge González, Valssechi, Gabriel Font, Agradecimientos especiales a:, Tiffon, Bernat-N., Puig, Josep Solé, González, Pau, Fernandez, Jorge González, and Valssechi, Gabriel Font

Published
2023

32. High-permeability region size on perfusion CT predicts hemorrhagic transformation after intravenous thrombolysis in stroke.

Author

Puig, Josep, Blasco, Gerard, Daunis-I-Estadella, Pepus, van Eendendburg, Cecile, Carrillo-García, María, Aboud, Carlos, Hernández-Pérez, María, Serena, Joaquín, Biarnés, Carles, Liebeskind, David, Thomalla, Götz, Menon, Bijoy, Demchuk, Andrew, Wintermark, Max, Pedraza, Salvador, Castellanos, Mar, and Nael, Kambiz

Subjects
Aged, Aged, 80 and over, Female, Humans, Male, Stroke, Thrombolytic Therapy, Tomography, X-Ray Computed
Abstract

OBJECTIVE: Blood-brain barrier (BBB) permeability has been proposed as a predictor of hemorrhagic transformation (HT) after tissue plasminogen activator (tPA) administration; however, the reliability of perfusion computed tomography (PCT) permeability imaging for predicting HT is uncertain. We aimed to determine the performance of high-permeability region size on PCT (HPrs-PCT) in predicting HT after intravenous tPA administration in patients with acute stroke. METHODS: We performed a multimodal CT protocol (non-contrast CT, PCT, CT angiography) to prospectively study patients with middle cerebral artery occlusion treated with tPA within 4.5 hours of symptom onset. HT was graded at 24 hours using the European-Australasian Acute Stroke Study II criteria. ROC curves selected optimal volume threshold, and multivariate logistic regression analysis identified predictors of HT. RESULTS: The study included 156 patients (50% male, median age 75.5 years). Thirty-seven (23,7%) developed HT [12 (7,7%), parenchymal hematoma type 2 (PH-2)]. At admission, patients with HT had lower platelet values, higher NIHSS scores, increased ischemic lesion volumes, larger HPrs-PCT, and poorer collateral status. The negative predictive value of HPrs-PCT at a threshold of 7mL/100g/min was 0.84 for HT and 0.93 for PH-2. The multiple regression analysis selected HPrs-PCT at 7mL/100g/min combined with platelets and baseline NIHSS score as the best model for predicting HT (AUC 0.77). HPrs-PCT at 7mL/100g/min was the only independent predictor of PH-2 (OR 1, AUC 0.68, p = 0.045). CONCLUSIONS: HPrs-PCT can help predict HT after tPA, and is particularly useful in identifying patients at low risk of developing HT.

Published
2017

34. Enhancing the First-Pass Effect in Acute Stroke: The Impact of Stent Retriever Characteristics.

Author

Murias, Eduardo, Puig, Josep, Serna-Candel, Carmen, Gonzalez, Eva María, Moreu, Manuel, Jiménez-Gómez, Elvira, SanRoman, Luis, Aparici-Robles, Fernando, Terceño, Mikel, Martínez, Antonio Mosqueira, Aixut, Sonia, Romero, Veredas, Mendez, Jose Carlos, Sagredo-Barra, Antonio, Aguilar, Yeray, Espinosa de Rueda, Mariano, Blázquez, Miguel Angel Castaño, Bashir, Saima, Rodríguez Castro, José, and Lopez-Frías, Alfonso

Subjects
*STROKE patients, *ENDOVASCULAR surgery, *CEREBRAL infarction, *ARTERIAL catheterization
Abstract

Introduction: Although stentrievers (SRs) have been a mainstay of mechanical thrombectomy (MT), and current guidelines recommend the use of SRs in the treatment of large vessel occlusion stroke (LVO), there is a paucity of studies in the literature comparing SRs directly against each other in terms of mechanical and functional properties. Timely access to endovascular therapy and the ability to restore intracranial flow in a safe, efficient, and efficacious manner have been critical to the success of MT. This study aimed to investigate the impact of contemporary SR characteristics, including model, brand, size, and length, on the first-pass effect (FPE) in patients with acute ischemic stroke. Methods: Consecutive patients with M1 occlusion treated with a single SR+BGC were recruited from the ROSSETTI registry. The primary outcome was the FPE that was defined as modified (mFPE) or true (tFPE) for the achievement of modified thrombolysis in cerebral infarction (mTICI) grades 2b-3 or 3 after a single device pass, respectively. We compared patients who achieved mFPE with those who achieved tFPE according to SR characteristics. Results: We included 610 patients (52.3% female and 47.7% male, mean age 75.1 ± 13.62 years). mFPE was achieved in 357 patients (58.5%), whereas tFPE was achieved in 264 (43.3%). There was no significant association between SR characteristics and mFPE or tFPE. Specifically, the SR size did not show a statistically significant relationship with improvement in FPE. Similarly, the length of the SR did not yield significant differences in the mFPE and tFPE, even when the data were grouped. Conclusions: Our data indicate that contemporary SR-mediated thrombectomy characteristics, including model, brand, size, and length, do not significantly affect the FPE. [ABSTRACT FROM AUTHOR]

Published
2024
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35. Unraveling the gut‐brain connection: The association of microbiota‐linked structural brain biomarkers with behavior and mental health.

Author

Contreras‐Rodriguez, Oren, Blasco, Gerard, Biarnés, Carles, Puig, Josep, Arnoriaga‐Rodríguez, Maria, Coll‐Martinez, Clàudia, Gich, Jordi, Ramió‐Torrentà, Lluís, Motger‐Albertí, Anna, Pérez‐Brocal, Vicente, Moya, Andrés, Radua, Joaquim, and Manuel Fernández‐Real, José

Subjects
HEALTH behavior, DIFFUSION tensor imaging, MAGNETIC resonance imaging, MENTAL health, GUT microbiome
Abstract

Aim: The gut microbiota can influence human behavior. However, due to the massive multiple‐testing problem, research into the relationship between microbiome ecosystems and the human brain faces drawbacks. This problem arises when attempting to correlate thousands of gut bacteria with thousands of brain voxels. Methods: We performed brain magnetic resonance imaging (MRI) scans on 133 participants and applied machine‐learning algorithms (Ridge regressions) combined with permutation tests. Using this approach, we were able to correlate specific gut bacterial families with brain MRI signals, circumventing the difficulties of massive multiple testing while considering sex, age, and body mass index as confounding factors. Results: The relative abundance (RA) of the Selenomonadaceae, Clostridiaceae, and Veillonellaceae families in the gut was associated with altered cerebellar, visual, and frontal T2‐mapping and diffusion tensor imaging measures. Conversely, decreased relative abundance of the Eubacteriaceae family was also linked to T2‐mapping values in the cerebellum. Significantly, the brain regions associated with the gut microbiome were also correlated with depressive symptoms and attentional deficits. Conclusions: Our analytical strategy offers a promising approach for identifying potential brain biomarkers influenced by gut microbiota. By gathering a deeper understanding of the microbiota‐brain connection, we can gain insights into the underlying mechanisms and potentially develop targeted interventions to mitigate the detrimental effects of dysbiosis on brain function and mental health. [ABSTRACT FROM AUTHOR]

Published
2024
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37. Increased brain fractional perfusion in obesity using intravoxel incoherent motion (IVIM) MRI metrics

Author

Motger‐Albertí, Anna, primary, de la Calle, Elena, additional, Giménez, Mònica, additional, Blasco, Gerard, additional, Biarnés, Carles, additional, Arnoriaga‐Rodríguez, María, additional, Puig, Josep, additional, Coll‐Martínez, Clàudia, additional, Contreras‐Rodríguez, Oren, additional, and Fernández‐Real, José Manuel, additional

Published
2024
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38. Acute Stroke Imaging Research Roadmap III Imaging Selection and Outcomes in Acute Stroke Reperfusion Clinical Trials: Consensus Recommendations and Further Research Priorities.

Author

Warach, Steven, Luby, Marie, Albers, Gregory, Bammer, Roland, Bivard, Andrew, Campbell, Bruce, Derdeyn, Colin, Heit, Jeremy, Khatri, Pooja, Lansberg, Maarten, Liebeskind, David, Majoie, Charles, Marks, Michael, Menon, Bijoy, Muir, Keith, Parsons, Mark, Vagal, Achala, Yoo, Albert, Alexandrov, Andrei, Baron, Jean-Claude, Fiorella, David, Furlan, Anthony, Puig, Josep, Schellinger, Peter, and Wintermark, Max

Subjects
angiography, clinical trial, ischemia, reperfusion, stroke, Clinical Trials as Topic, Consensus, Education, Endovascular Procedures, Humans, Neuroimaging, Stroke, Thrombolytic Therapy
Abstract

BACKGROUND AND PURPOSE: The Stroke Imaging Research (STIR) group, the Imaging Working Group of StrokeNet, the American Society of Neuroradiology, and the Foundation of the American Society of Neuroradiology sponsored an imaging session and workshop during the Stroke Treatment Academy Industry Roundtable (STAIR) IX on October 5 to 6, 2015 in Washington, DC. The purpose of this roadmap was to focus on the role of imaging in future research and clinical trials. METHODS: This forum brought together stroke neurologists, neuroradiologists, neuroimaging research scientists, members of the National Institute of Neurological Disorders and Stroke (NINDS), industry representatives, and members of the US Food and Drug Administration to discuss STIR priorities in the light of an unprecedented series of positive acute stroke endovascular therapy clinical trials. RESULTS: The imaging session summarized and compared the imaging components of the recent positive endovascular trials and proposed opportunities for pooled analyses. The imaging workshop developed consensus recommendations for optimal imaging methods for the acquisition and analysis of core, mismatch, and collaterals across multiple modalities, and also a standardized approach for measuring the final infarct volume in prospective clinical trials. CONCLUSIONS: Recent positive acute stroke endovascular clinical trials have demonstrated the added value of neurovascular imaging. The optimal imaging profile for endovascular treatment includes large vessel occlusion, smaller core, good collaterals, and large penumbra. However, equivalent definitions for the imaging profile parameters across modalities are needed, and a standardization effort is warranted, potentially leveraging the pooled data resulting from the recent positive endovascular trials.

Published
2016

39. Intravoxel Incoherent Motion Metrics as Potential Biomarkers for Survival in Glioblastoma.

Author

Puig, Josep, Sánchez-González, Javier, Blasco, Gerard, Daunis-I-Estadella, Pepus, Federau, Christian, Alberich-Bayarri, Ángel, Biarnes, Carles, Essig, Marco, Jain, Rajan, Wintermark, Max, Pedraza, Salvador, and Nael, Kambiz

Subjects
Aged, Biomarkers, Brain, Brain Neoplasms, Diffusion Magnetic Resonance Imaging, Female, Glioblastoma, Humans, Image Processing, Computer-Assisted, Kaplan-Meier Estimate, Male, Middle Aged, Motion, Observer Variation, Perfusion, Prognosis, Proportional Hazards Models, Prospective Studies, Sensitivity and Specificity, Treatment Outcome
Abstract

OBJECTIVE: Intravoxel incoherent motion (IVIM) is an MRI technique with potential applications in measuring brain tumor perfusion, but its clinical impact remains to be determined. We assessed the usefulness of IVIM-metrics in predicting survival in newly diagnosed glioblastoma. METHODS: Fifteen patients with glioblastoma underwent MRI including spin-echo echo-planar DWI using 13 b-values ranging from 0 to 1000 s/mm2. Parametric maps for diffusion coefficient (D), pseudodiffusion coefficient (D*), and perfusion fraction (f) were generated for contrast-enhancing regions (CER) and non-enhancing regions (NCER). Regions of interest were manually drawn in regions of maximum f and on the corresponding dynamic susceptibility contrast images. Prognostic factors were evaluated by Kaplan-Meier survival and Cox proportional hazards analyses. RESULTS: We found that fCER and D*CER correlated with rCBFCER. The best cutoffs for 6-month survival were fCER>9.86% and D*CER>21.712 x10-3mm2/s (100% sensitivity, 71.4% specificity, 100% and 80% positive predictive values, and 80% and 100% negative predictive values; AUC:0.893 and 0.857, respectively). Treatment yielded the highest hazard ratio (5.484; 95% CI: 1.162-25.88; AUC: 0.723; P = 0.031); fCER combined with treatment predicted survival with 100% accuracy. CONCLUSIONS: The IVIM-metrics fCER and D*CER are promising biomarkers of 6-month survival in newly diagnosed glioblastoma.

Published
2016

41. Gut microbiota links to serum ferritin and cognition

Author

Rosell-Díaz, Marisel, primary, Santos-González, Elena, additional, Motger-Albertí, Anna, additional, Ramió-Torrentà, Lluís, additional, Garre-Olmo, Josep, additional, Pérez-Brocal, Vicente, additional, Moya, Andrés, additional, Jové, Mariona, additional, Pamplona, Reinald, additional, Puig, Josep, additional, Ramos, Rafael, additional, Fernández-Real, José Manuel, additional, and Mayneris-Perxachs, Jordi, additional

Published
2023
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43. Cognitive improvement following endovascular embolization in patients with intracranial dural arteriovenous fistula: The Neuropsychology in dural ArterIal Fistula (NAIF) Study

Author

Gramegna, Laura Ludovica, primary, Ortega, Gemma, additional, Dinia, Lavinia, additional, Aixut, Sonia, additional, Rosati, Santiago, additional, Vega, Pedro, additional, Lüttich, Alex, additional, Remollo, Sebastian, additional, González, Alejandro, additional, Murias, Eduardo, additional, Chirife Chaparro, Oscar, additional, Moreu, Manuel, additional, Requena, Manuel, additional, de Dios Lascuevas, Marta, additional, Hernandez, David, additional, Quintana, Manuel, additional, Puig, Josep, additional, Rovira, Alex, additional, and Tomasello, Alejandro, additional

Published
2023
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45. Influence of stroke infarct location on quality of life assessed in a multivariate lesion-symptom mapping study

Author

Königsberg, Alina, DeMarco, Andrew T., Mayer, Carola, Wouters, Anke, Schlemm, Eckhard, Ebinger, Martin, Cho, Tae-Hee, Endres, Matthias, Fiebach, Jochen B., Fiehler, Jens, Galinovic, Ivana, Puig, Josep, Thijs, Vincent, Lemmens, Robin, Muir, Keith W., Nighoghossian, Norbert, Pedraza, Salvador, Simonsen, Claus Z., Gerloff, Christian, Thomalla, Götz, and Cheng, Bastian

Published
2021
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46. Iron status influences non-alcoholic fatty liver disease in obesity through the gut microbiome

Author

Mayneris-Perxachs, Jordi, Cardellini, Marina, Hoyles, Lesley, Latorre, Jèssica, Davato, Francesca, Moreno-Navarrete, José Maria, Arnoriaga-Rodríguez, María, Serino, Matteo, Abbott, James, Barton, Richard H., Puig, Josep, Fernández-Real, Xavier, Ricart, Wifredo, Tomlinson, Christopher, Woodbridge, Mark, Gentileschi, Paolo, Butcher, Sarah A., Holmes, Elaine, Nicholson, Jeremy K., Pérez-Brocal, Vicente, Moya, Andrés, Clain, Donald Mc, Burcelin, Rémy, Dumas, Marc-Emmanuel, Federici, Massimo, and Fernández-Real, José-Manuel

Published
2021
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47. Preserved structural connectivity mediates the clinical effect of thrombolysis in patients with anterior-circulation stroke

Author

Schlemm, Eckhard, Ingwersen, Thies, Königsberg, Alina, Boutitie, Florent, Ebinger, Martin, Endres, Matthias, Fiebach, Jochen B., Fiehler, Jens, Galinovic, Ivana, Lemmens, Robin, Muir, Keith W., Nighoghossian, Norbert, Pedraza, Salvador, Puig, Josep, Simonsen, Claus Z., Thijs, Vincent, Wouters, Anke, Gerloff, Christian, Thomalla, Götz, and Cheng, Bastian

Published
2021
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48. Cerebral Microbleeds and Treatment Effect of Intravenous Thrombolysis in Acute Stroke: An Analysis of the WAKE-UP Randomized Clinical Trial

Author

Schlemm, Ludwig, Braemswig, Tim Bastian, Boutitie, Florent, Vynckier, Jan, Jensen, Märit, Galinovic, Ivana, Simonsen, Claus Z., Cheng, Bastian, Cho, Tae-Hee, Fiehler, Jens, Puig, Josep, Thijs, Vincent, Fiebach, Jochen, Muir, Keith, Nighoghossian, Norbert, Ebinger, Martin, Pedraza, Salvador, Thomalla, Götz, Gerloff, Christian, Endres, Matthias, Lemmens, Robin, and Nolte, Christian H.

Published
2022
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50. Reduced Cortical Thickness Correlates of Cognitive Dysfunction in Post-COVID-19 Condition: Insights from a Long-Term Follow-up.

Author

Dacosta-Aguayo, Rosalia, Puig, Josep, Lamonja-Vicente, Noemi, Carmona-Cervelló, Meritxell, León-Gómez, Brenda Biaani, Monté-Rubio, Gemma, López-Linfante, Victor M., Zamora-Putin, Valeria, Montero-Alia, Pilar, Chacon, Carla, Bielsa, Jofre, Moreno-Gabriel, Eduard, Garcia-Sierra, Rosa, Pachón, Alba, Costa, Anna, Mataró, Maria, Prado, Julia G., Martinez-Cáceres, Eva, Mateu, Lourdes, and Massanella, Marta

Published
2024
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