Gradients of brain organization: Smooth sailing from methods development to user community

Autor: Royer, Jessica, Paquola, Casey, Valk, Sofie L., Kirschner, Matthias, Hong, Seok-Jun, Park, Bo-yong, Bethlehem, Richard A. I., Leech, Robert, Yeo, B. T. Thomas, Jefferies, Elizabeth, Smallwood, Jonathan, Margulies, Daniel, Bernhardt, Boris C.

Multimodal neuroimaging grants a powerful in vivo window into the structure and function of the human brain. Recent methodological and conceptual advances have enabled investigations of the interplay between large-scale spatial trends, or gradients,

Externí odkaz: http://arxiv.org/abs/2402.11055

Control Theory Illustrates the Energy Efficiency in the Dynamic Reconfiguration of Functional Connectivity

Autor: Deng, Shikuang, Li, Jingwei, Yeo, B. T. Thomas, Gu, Shi

The brain's functional connectivity fluctuates over time instead of remaining steady in a stationary mode even during the resting state. This fluctuation establishes the dynamical functional connectivity that transitions in a non-random order between

Externí odkaz: http://arxiv.org/abs/2201.02340

The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up

Autor: Marinescu, Razvan V., Oxtoby, Neil P., Young, Alexandra L., Bron, Esther E., Toga, Arthur W., Weiner, Michael W., Barkhof, Frederik, Fox, Nick C., Eshaghi, Arman, Toni, Tina, Salaterski, Marcin, Lunina, Veronika, Ansart, Manon, Durrleman, Stanley, Lu, Pascal, Iddi, Samuel, Li, Dan, Thompson, Wesley K., Donohue, Michael C., Nahon, Aviv, Levy, Yarden, Halbersberg, Dan, Cohen, Mariya, Liao, Huiling, Li, Tengfei, Yu, Kaixian, Zhu, Hongtu, Tamez-Pena, Jose G., Ismail, Aya, Wood, Timothy, Bravo, Hector Corrada, Nguyen, Minh, Sun, Nanbo, Feng, Jiashi, Yeo, B. T. Thomas, Chen, Gang, Qi, Ke, Chen, Shiyang, Qiu, Deqiang, Buciuman, Ionut, Kelner, Alex, Pop, Raluca, Rimocea, Denisa, Ghazi, Mostafa M., Nielsen, Mads, Ourselin, Sebastien, Sorensen, Lauge, Venkatraghavan, Vikram, Liu, Keli, Rabe, Christina, Manser, Paul, Hill, Steven M., Howlett, James, Huang, Zhiyue, Kiddle, Steven, Mukherjee, Sach, Rouanet, Anais, Taschler, Bernd, Tom, Brian D. M., White, Simon R., Faux, Noel, Sedai, Suman, Oriol, Javier de Velasco, Clemente, Edgar E. V., Estrada, Karol, Aksman, Leon, Altmann, Andre, Stonnington, Cynthia M., Wang, Yalin, Wu, Jianfeng, Devadas, Vivek, Fourrier, Clementine, Raket, Lars Lau, Sotiras, Aristeidis, Erus, Guray, Doshi, Jimit, Davatzikos, Christos, Vogel, Jacob, Doyle, Andrew, Tam, Angela, Diaz-Papkovich, Alex, Jammeh, Emmanuel, Koval, Igor, Moore, Paul, Lyons, Terry J., Gallacher, John, Tohka, Jussi, Ciszek, Robert, Jedynak, Bruno, Pandya, Kruti, Bilgel, Murat, Engels, William, Cole, Joseph, Golland, Polina, Klein, Stefan, Alexander, Daniel C.

Publikováno v: Machine Learning for Biomedical Imaging (MELBA), Dec 2021

We present the findings of "The Alzheimer's Disease Prediction Of Longitudinal Evolution" (TADPOLE) Challenge, which compared the performance of 92 algorithms from 33 international teams at predicting the future trajectory of 219 individuals at risk

Externí odkaz: http://arxiv.org/abs/2002.03419

Anaerobic Digestion Technology for Biogas Production: Current Situation in Nigeria (A Review)

Autor: Adebare Johnson Adeleke, O M Ajunwa, J A Golden, U E Antia, A T Adesulu-Dahunsi, O A Adewara, O D Popoola, E O Oni, B T Thomas, Y Luka

Publikováno v: UMYU Journal of Microbiology Research, Vol 8, Iss 2 (2023)

In view of the nation's vast agricultural resources, crop residues, animal manure, municipal waste, and wastewater sludge may be transformed into renewable energy, potentially a source of revenue. Biogas production offers cleaner, sustainable solutio

Externí odkaz: https://doaj.org/article/e125ce97de004433b59cfb09749d69a4

A cross-cohort replicable and heritable latent dimension linking behaviour to multi-featured brain structure

Autor: Eliana Nicolaisen-Sobesky, Agoston Mihalik, Shahrzad Kharabian-Masouleh, Fabio S. Ferreira, Felix Hoffstaedter, Holger Schwender, Somayeh Maleki Balajoo, Sofie L. Valk, Simon B. Eickhoff, B. T. Thomas Yeo, Janaina Mourao-Miranda, Sarah Genon

Publikováno v: Communications Biology, Vol 5, Iss 1, Pp 1-11 (2022)

Multivariate brain-behaviour associations are studied with regularized canonical correlation analysis and a machine learning framework, showing that behavioural inter-individual variability is linked to inter-individual variability in brain structure

Externí odkaz: https://doaj.org/article/e93b57b8fec54920aa1fd0c3d7cbbf23