by Irina Pokhilenko, Mencia R. Gutierrez-Colosia, Luca M. M. Janssen, Silvia M. A. A. Evers, Agnes T. G. Paulus, Ruben M. W. A. Drost, Pilar Campoy-Muñoz, Judit Simon, Luis Salvador-Carulla
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by Jong Min Han, Ina Yun, Kyung Mi Yang, Hye-Sung Kim, Young-Youn Kim, Wonsik Jeong, Seong Su Hong, Inseong Hwang
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by Yanning Wang, Nicole E. Smolinski, Celeste Ewig, Thuy Nhu Thai, Tony S. Wen, Almut G. Winterstein
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by Alyssa C. Hockaday, Arturo S. Leon, Kyle Patterson, Steven C. Pennings
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by YiMeng Wang, SiGuo Bi, XiaoLong Li, YuTao Zhong, DongDong Qi
Schizophrenia is a severe, complex and long-term psychiatric disorder with unclear etiology. Gut microbes influence the central nervous system via the gut-brain axis. Consequently, investigations of the relationship between gut microbes and schizophrenia are warranted. This study involved 29 patients with schizophrenia and 30 age-matched normal controls. After 16S rRNA gene sequencing and whole-genome shotgun metagenomic sequencing... Читать дальше...
by Ashley Guy, Shannon McAuliffe, Robbie Cross, Yue Zhang, Richard E. Kennedy, Norman R. Estes, Samantha Giordano-Mooga, Christine Loyd
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by Gengpei Zhang, Xiongding Liu
by Carmen Huayhua, Misael Rodríguez, Jhorjhi Vega, Mario Briones, Lleretny Rodriguez-Alvarez, Edwin Mellisho
by Ayed Alwadain, Suliman Mohamed Fati, Kashif Ali, Rao Faizan Ali
by Ye-Hui Wang, Yi Zhou, Xiang Gao, Sheng Sun, Yi-Zhou Xie, You-Peng Hu, Yang Fu, Xiao-Hong Fan, Quan Xie
by Carol S. Palackdharry, Stephanie Wottrich, Erin Dienes, Mohamad Bydon, Michael P. Steinmetz, Vincent C. Traynelis
by Hsin-I Shih, Yu-Ping Wang, Chia-Yu Chi, Yu-Wen Chien
BackgroundDengue virus (DENV) infection, a common mosquito-borne disease, has been linked to several mental disorders like depression and anxiety. However, the temporal risk of these disorders after DENV infection is not well studied.
MethodsThis population-based cohort study encompassed 45,334 recently lab-confirmed dengue patients in Taiwan spanning 2002 to 2015, matched at a 1:5 ratio with non-dengue individuals based on age, gender, and residence (n = 226,670). Читать дальше...
by Karin Gallandat, Amy Macdougall, Aurélie Jeandron, Jaime Mufitini Saidi, Baron Bashige Rumedeka, Espoir Bwenge Malembaka, Andrew S. Azman, Didier Bompangue, Simon Cousens, Elizabeth Allen, Oliver Cumming
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by Ma. Fernanda Sánchez-Soto, Osiris Gaona, Ana Laura Vigueras-Galván, Gerardo Suzán, Luisa I. Falcón, Ella Vázquez-Domínguez
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by Yubing Hu, Yuling Li, Awtum M. Brashear, Weilin Zeng, Zifang Wu, Lin Wang, Haichao Wei, Myat Thu Soe, Pyae Linn Aung, Jetsumon Sattabongkot, Myat Phone Kyaw, Zhaoqing Yang, Yan Zhao, Liwang Cui, Yaming Cao
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by Soumaya Marzouki, Maha Abdeladhim, Chaouki Ben Abdessalem, Fabiano Oliveira, Beya Ferjani, Dana Gilmore, Hechmi Louzir, Jesus G. Valenzuela, Mélika Ben Ahmed
by Rick Wertenbroek, Robin J. Hofmeister, Ioannis Xenarios, Yann Thoma, Olivier Delaneau
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by Bin Liu, Bodo Rosenhahn, Thomas Illig, David S. DeLuca
Interpreting transcriptome data is an important yet challenging aspect of bioinformatic analysis. While gene set enrichment analysis is a standard tool for interpreting regulatory changes, we utilize deep learning techniques, specifically autoencoder architectures, to learn latent variables that drive transcriptome signals. We investigate whether simple, variational autoencoder (VAE), and beta-weighted VAE are capable of learning reduced... Читать дальше...
by Shihan Ma, Irene Mendez Guerra, Arnault Hubert Caillet, Jiamin Zhao, Alexander Kenneth Clarke, Kostiantyn Maksymenko, Samuel Deslauriers-Gauthier, Xinjun Sheng, Xiangyang Zhu, Dario Farina
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by Alexandre Legrand, Clara Dahoui, Clément De La Myre Mory, Kodie Noy, Laura Guiguettaz, Margaux Versapuech, Clara Loyer, Margaux Pillon, Mégane Wcislo, Laurent Guéguen, Clarisse Berlioz-Torrent, Andrea Cimarelli, Mathieu Mateo, Francesca Fiorini, Emiliano P. Ricci, Lucie Etienne
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by Anushka Oza, Adarsh Kumar, Apoorva Sharma, Pratik K. Mutha
The unpredictable nature of our world can introduce a variety of errors in our actions, including sensory prediction errors (SPEs) and task performance errors (TPEs). SPEs arise when our existing internal models of limb-environment properties and interactions become miscalibrated due to changes in the environment, while TPEs occur when environmental perturbations hinder achievement of task goals. The precise mechanisms employed... Читать дальше...