Kymberly D. Young

According to our database, Kymberly D. Young authored at least 3 papers between 2014 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

2019

Control freaks: Towards optimal selection of control conditions for fMRI neurofeedback studies.

Bettina Sorger, Frank Scharnowski, David E. J. Linden, Michelle Hampson, Kymberly D. Young

NeuroImage, 2019

2014

Resting-State Functional Connectivity Modulation and Sustained Changes After Real-Time Functional Magnetic Resonance Imaging Neurofeedback Training in Depression.

Han Yuan, Kymberly D. Young, Raquel Phillips, Vadim Zotev, Masaya Misaki, Jerzy Bodurka

Brain Connect., 2014