Zobrazeno 1 - 10
of 394
pro vyhledávání: '"Pew‐Thian Yap"'
Autor:
Chin-Chieh Yang, Pew-Thian Yap, Ye Wu, Natalia Zidan, Gilad Fefer, Nathan C. Nelson, Margaret E. Gruen, Natasha J. Olby
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Presbycusis, or age-related hearing loss, affects both elderly humans and dogs, significantly impairing their social interactions and cognition. In humans, presbycusis involves changes in peripheral and central auditory systems, with central
Externí odkaz:
https://doaj.org/article/c4ac4bc866d845a1a29df56492829e7c
Autor:
Danilo Bernardo, Xihe Xie, Parul Verma, Jonathan Kim, Virginia Liu, Adam L. Numis, Ye Wu, Hannah C. Glass, Pew-Thian Yap, Srikantan S. Nagarajan, Ashish Raj
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-15 (2024)
Abstract The spectral content of macroscopic neural activity evolves throughout development, yet how this maturation relates to underlying brain network formation and dynamics remains unknown. Here, we assess the developmental maturation of electroen
Externí odkaz:
https://doaj.org/article/babb5fbbc4ab458facd47e26ff3d115c
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract The human cerebellum is engaged in a broad array of tasks related to motor coordination, cognition, language, attention, memory, and emotional regulation. A detailed cerebellar atlas can facilitate the investigation of the structural and fun
Externí odkaz:
https://doaj.org/article/662ffaf29693452caa42afaf9f72cd5a
Autor:
Siyuan Liu, Pew-Thian Yap
Publikováno v:
Communications Engineering, Vol 3, Iss 1, Pp 1-10 (2024)
Abstract Harmonization improves Magn. Reson. Imaging (MRI) data consistency and is central to effective integration of diverse imaging data acquired across multiple sites. Recent deep learning techniques for harmonization are predominantly supervised
Externí odkaz:
https://doaj.org/article/04b99ab994a64d8c9c2c3c802fbe9579
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-5 (2023)
Abstract Brain magnetic resonance imaging (MRI) provides detailed soft tissue contrasts that are critical for disease diagnosis and neuroscience research. Higher MRI resolution typically comes at the cost of signal-to-noise ratio (SNR) and tissue con
Externí odkaz:
https://doaj.org/article/28e700fb847745baa2c071aa90bc338f
Autor:
Jinjian Wu, Yuqi Fang, Xin Tan, Shangyu Kang, Xiaomei Yue, Yawen Rao, Haoming Huang, Mingxia Liu, Shijun Qiu, Pew-Thian Yap
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Type 2 diabetes mellitus (T2DM) is closely linked to cognitive decline and alterations in brain structure and function. Resting-state functional magnetic resonance imaging (rs-fMRI) is used to diagnose neurodegenerative diseases, such as cog
Externí odkaz:
https://doaj.org/article/a6b513324d9b4ecfa7d697efb2ef5e2d
Autor:
Weixiong Jiang, Zhen Zhou, Guoshi Li, Weiyan Yin, Zhengwang Wu, Li Wang, Maryam Ghanbari, Gang Li, Pew-Thian Yap, Brittany R. Howell, Martin A. Styner, Essa Yacoub, Heather Hazlett, John H. Gilmore, J. Keith Smith, Kamil Ugurbil, Jed T. Elison, Han Zhang, Dinggang Shen, Weili Lin
Publikováno v:
Developmental Cognitive Neuroscience, Vol 63, Iss , Pp 101284- (2023)
Human brain undergoes rapid growth during the first few years of life. While previous research has employed graph theory to study early brain development, it has mostly focused on the topological attributes of the whole brain. However, examining regi
Externí odkaz:
https://doaj.org/article/04cfaf29e7a94f2b8ec2f8eea06f4b60
Autor:
Gabriel Girard, Jonathan Rafael-Patiño, Raphaël Truffet, Dogu Baran Aydogan, Nagesh Adluru, Veena A. Nair, Vivek Prabhakaran, Barbara B. Bendlin, Andrew L. Alexander, Sara Bosticardo, Ilaria Gabusi, Mario Ocampo-Pineda, Matteo Battocchio, Zuzana Piskorova, Pietro Bontempi, Simona Schiavi, Alessandro Daducci, Aleksandra Stafiej, Dominika Ciupek, Fabian Bogusz, Tomasz Pieciak, Matteo Frigo, Sara Sedlar, Samuel Deslauriers-Gauthier, Ivana Kojčić, Mauro Zucchelli, Hiba Laghrissi, Yang Ji, Rachid Deriche, Kurt G Schilling, Bennett A. Landman, Alberto Cacciola, Gianpaolo Antonio Basile, Salvatore Bertino, Nancy Newlin, Praitayini Kanakaraj, Francois Rheault, Patryk Filipiak, Timothy M. Shepherd, Ying-Chia Lin, Dimitris G. Placantonakis, Fernando E. Boada, Steven H. Baete, Erick Hernández-Gutiérrez, Alonso Ramírez-Manzanares, Ricardo Coronado-Leija, Pablo Stack-Sánchez, Luis Concha, Maxime Descoteaux, Sina Mansour L., Caio Seguin, Andrew Zalesky, Kenji Marshall, Erick J. Canales-Rodríguez, Ye Wu, Sahar Ahmad, Pew-Thian Yap, Antoine Théberge, Florence Gagnon, Frédéric Massi, Elda Fischi-Gomez, Rémy Gardier, Juan Luis Villarreal Haro, Marco Pizzolato, Emmanuel Caruyer, Jean-Philippe Thiran
Publikováno v:
NeuroImage, Vol 277, Iss , Pp 120231- (2023)
Estimating structural connectivity from diffusion-weighted magnetic resonance imaging is a challenging task, partly due to the presence of false-positive connections and the misestimation of connection weights. Building on previous efforts, the MICCA
Externí odkaz:
https://doaj.org/article/ecead27379324a32a220bcfd785bf163
Autor:
Guoshi Li, Pew-Thian Yap
Publikováno v:
Frontiers in Human Neuroscience, Vol 16 (2022)
As a newly emerging field, connectomics has greatly advanced our understanding of the wiring diagram and organizational features of the human brain. Generative modeling-based connectome analysis, in particular, plays a vital role in deciphering the n
Externí odkaz:
https://doaj.org/article/2f22a286a0bb4e8bbfa6bd073c4fa614
Autor:
Chiara Maffei, Gabriel Girard, Kurt G. Schilling, Dogu Baran Aydogan, Nagesh Adluru, Andrey Zhylka, Ye Wu, Matteo Mancini, Andac Hamamci, Alessia Sarica, Achille Teillac, Steven H. Baete, Davood Karimi, Fang-Cheng Yeh, Mert E. Yildiz, Ali Gholipour, Yann Bihan-Poudec, Bassem Hiba, Andrea Quattrone, Aldo Quattrone, Tommy Boshkovski, Nikola Stikov, Pew-Thian Yap, Alberto de Luca, Josien Pluim, Alexander Leemans, Vivek Prabhakaran, Barbara B. Bendlin, Andrew L. Alexander, Bennett A. Landman, Erick J. Canales-Rodríguez, Muhamed Barakovic, Jonathan Rafael-Patino, Thomas Yu, Gaëtan Rensonnet, Simona Schiavi, Alessandro Daducci, Marco Pizzolato, Elda Fischi-Gomez, Jean-Philippe Thiran, George Dai, Giorgia Grisot, Nikola Lazovski, Santi Puch, Marc Ramos, Paulo Rodrigues, Vesna Prčkovska, Robert Jones, Julia Lehman, Suzanne N. Haber, Anastasia Yendiki
Publikováno v:
NeuroImage, Vol 257, Iss , Pp 119327- (2022)
Limitations in the accuracy of brain pathways reconstructed by diffusion MRI (dMRI) tractography have received considerable attention. While the technical advances spearheaded by the Human Connectome Project (HCP) led to significant improvements in d
Externí odkaz:
https://doaj.org/article/e111f2d4d7204bdabb7e61633ca37871