Theo Marins

According to our database, Theo Marins authored at least 3 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis.

Amelie Haugg, Fabian M. Renz, Andrew A. Nicholson, Cindy Lor, Sebastian J. Götzendorfer, Ronald Sladky, Stavros Skouras, Amalia McDonald, R. Cameron Craddock, Lydia Hellrung, Matthias Kirschner, Marcus Herdener, Yury Koush, Marina Papoutsi, Nimrod Jakob Keynan, Talma Hendler, Kathrin Cohen Kadosh, Catharina Zich, Simon H. Kohl, Manfred Hallschmid, Jeff MacInnes, R. Alison Adcock, Kathryn C. Dickerson, Nan-kuei Chen, Kymberly D. Young, Jerzy Bodurka, Michael Marxen, Shuxia Yao, Benjamin Becker, Tibor Auer, Renate Schweizer, Gustavo S. P. Pamplona, Ruth A. Lanius, Kirsten Emmert, Sven Haller, Dimitri Van De Ville, Dong-Youl Kim, Jong-Hwan Lee, Theo Marins, Fukuda Megumi, Bettina Sorger, Tabea Kamp, Sook-Lei Liew, Ralf Veit, Maartje S. Spetter, Nikolaus Weiskopf, Frank Scharnowski, David Steyrl

NeuroImage, 2021

2020

Prospective motion correction of fMRI: Improving the quality of resting state data affected by large head motion.

Danilo Maziero, Carlo Rondinoni, Theo Marins, Victor Andrew Stenger, Thomas Ernst

NeuroImage, 2020

2019

Structural and functional connectivity changes in response to short-term neurofeedback training with motor imagery.

Theo Marins, E. C. Rodrigues, Tiago Bortolini, Bruno Melo, Jorge Moll, Fernanda Tovar-Moll

NeuroImage, 2019