Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge

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

Connectome spatial smoothing (CSS): Concepts, methods, and evaluation

Autor: Sina Mansour L, Caio Seguin, Robert E. Smith, Andrew Zalesky

Publikováno v: NeuroImage, Vol 250, Iss , Pp 118930- (2022)

Structural connectomes are increasingly mapped at high spatial resolutions comprising many hundreds—if not thousands—of network nodes. However, high-resolution connectomes are particularly susceptible to image registration misalignment, tractogra

Externí odkaz: https://doaj.org/article/0e25beb105b54515aa972b6e225a9acd

High-resolution connectomic fingerprints: Mapping neural identity and behavior

Autor: Sina Mansour L, Ye Tian, B.T. Thomas Yeo, Vanessa Cropley, Andrew Zalesky

Publikováno v: NeuroImage, Vol 229, Iss , Pp 117695- (2021)

Connectomes are typically mapped at low resolution based on a specific brain parcellation atlas. Here, we investigate high-resolution connectomes independent of any atlas, propose new methodologies to facilitate their mapping and demonstrate their ut

Externí odkaz: https://doaj.org/article/48cdfecd3bd3441389056f8a1cc5651b

Proceedings of the OHBM Brainhack 2021

Autor: Aki Nikolaidis, Matteo Manchini, Tibor Auer, Katherine L. Bottenhorn, Eva Alonso-Ortiz, Gabriel Gonzalez-Escamilla, Sofie Valk, Tristan Glatard, Melvin Selim Atay, Johanna M.M. Bayer, Janine Bijsterbosch, Johannes Algermissen, Natacha Beck, Patrick Bermudez, Isil Poyraz Bilgin, Steffen Bollmann, Claire Bradley, Megan E.J. Campbell, Bryan Caron, Oren Civier, Luis Pedro Coelho, Shady El Damaty, Samir Das, Mathieu Dugré, Eric Earl, Stefanie Evas, Nastassja Lopes Fischer, De Fu Yap, Kelly G. Garner, Remi Gau, Giorgio Ganis, Dylan G. E. Gomes, Martin Grignard, Samuel Guay, Omer Faruk Gulban, Sarah Hamburg, Yaroslav O. Halchenko, Valerie Hayot-Sasson, Dawn Liu Holford, Laurentius Huber, Manuel Illanes, Tom Johnstone, Avinash Kalyani, Kinshuk Kashyap, Han Ke, Ibrahim Khormi, Gregory Kiar, Vanja Ković, Tristan Kuehn, Achintya Kumar, Xavier Lecours-Boucher, Michael Lührs, Robert Luke, Cecile Madjar, Sina Mansour L., Chris Markeweicz, Paula Andrea Martinez, Alexandra McCarroll, Léa Michel, Stefano Moia, Aswin Narayanan, Guiomar Niso, Emmet A. O’Brien, Kendra Oudyk, François Paugam, Yuri G. Pavlov, Jean-Baptiste Poline, Benedikt A. Poser, Céline Provins, Pradeep Reddy Raamana, Pierre Rioux, David Romero-Bascones, Ekansh Sareen, Antonio Schettino, Alec Shaw, Thomas Shaw, Cooper A. Smout, Anđdela Šoškié, Jessica Stone, Suzy J Styles, Ryan Sullivan, Naoyuki Sunami, Shamala Sundaray, Jasmine Wei Rou, Dao Thanh Thuy, Sebastien Tourbier, Sebastián Urch, Alejandro de la Vega, Niruhan Viswarupan, Adina Wagner, Lennart Walger, Hao-Ting Wang, Fei Ting Woon, David White, Christopher Wiggins, Will Woods, Yu-Fang Yang, Ksenia Zaytseva, Judy D. Zhu, Marcel P. Zwiers

Publikováno v: Aperture Neuro.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9649ef1d06cdd1d9a35f2b3f9ffb7441
https://doi.org/10.52294/258801b4-a9a9-4d30-a468-c43646391211

Topological Cluster Statistic (TCS): Towards structural-connectivity-guided fMRI cluster enhancement

Autor: Sina Mansour L., Caio Seguin, Anderson Winkler, Stephanie Noble, Andrew Zalesky

Functional magnetic resonance imaging (fMRI) studies use cluster-based inference to detect local changes in brain activity. Insufficient statistical power and disproportionate false-positive rates reportedly hinder optimal inference. We propose a str

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::786f6c820fd8374432cf10abd1389815
https://doi.org/10.21203/rs.3.rs-2059418/v1