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Aki Nikolaidis
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2020 – today
- 2021
- [j6]Min-Jun Han, Chan-Ung Park
, Sangyun Kang, Byounghoon Kim
, Aki Nikolaidis, Michael P. Milham, Seok-Jun Hong, Seong-Gi Kim, Eunha Baeg
:
Mapping functional gradients of the striatal circuit using simultaneous microelectric stimulation and ultrahigh-field fMRI in non-human primates. NeuroImage 236: 118077 (2021) - 2020
- [j5]Aki Nikolaidis, Anibal Solon Heinsfeld
, Ting Xu, Pierre C. Bellec, Joshua T. Vogelstein, Michael P. Milham:
Bagging improves reproducibility of functional parcellation of the human brain. NeuroImage 214: 116678 (2020) - [j4]Seok-Jun Hong
, Ting Xu, Aki Nikolaidis, Jonathan Smallwood, Daniel S. Margulies
, Boris C. Bernhardt
, Joshua T. Vogelstein, Michael P. Milham:
Toward a connectivity gradient-based framework for reproducible biomarker discovery. NeuroImage 223: 117322 (2020) - [j3]Aïda Bafeta
, Jason Bobe
, Jon Clucas
, Pattie Pramila Gonsalves
, Célya Gruson-Daniel
, Kathy L. Hudson, Arno Klein
, Anirudh Krishnakumar
, Anna McCollister-Slipp
, Ariel B. Lindner
, Dusan Misevic
, John A. Naslund
, Camille Nebeker
, Aki Nikolaidis, Irene V. Pasquetto
, Gabriela Sánchez
, Matthieu Schapira
, Tohar Scheininger
, Felix Schoeller, Anibal Solon Heinsfeld
, François Taddei:
Ten simple rules for open human health research. PLoS Comput. Biol. 16(9) (2020)
2010 – 2019
- 2018
- [j2]Manuel Garcia-Garcia, Aki Nikolaidis
, Pierre Bellec, R. Cameron Craddock, Brian Cheung, Francisco X. Castellanos
, Michael P. Milham:
Detecting stable individual differences in the functional organization of the human basal ganglia. NeuroImage 170: 68-82 (2018) - [i1]Aki Nikolaidis:
Training Humans and Machines. CoRR abs/1807.08655 (2018) - 2016
- [j1]Erick J. Paul, Ryan J. Larsen
, Aki Nikolaidis
, Nathan Ward, Charles H. Hillman
, Neal J. Cohen, Arthur F. Kramer
, Aron K. Barbey
:
Dissociable brain biomarkers of fluid intelligence. NeuroImage 137: 201-211 (2016) - 2015
- [c1]Aki Nikolaidis
, Drew Goatz, Paris Smaragdis, Arthur F. Kramer
:
Predicting Skill-Based Task Performance and Learning with fMRI Motor and Subcortical Network Connectivity. PRNI 2015: 93-96
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