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Influence of Brain State, a priori Feature Selection, and Individualized Parcellation on Connectivity-Based Predictions of Behavior
Kraljevic, N. (Corresponding author)FZJ* ; Langner, R.FZJ* ; Raimondo, F.FZJ* ; Patil, K.FZJ* ; Kong, R. ; Ooi, L. Q. R. ; Thomas Yeo, B. T. ; Eickhoff, S.FZJ* ; Müller, V.FZJ*
2024
2024Organization for Human Brain Mapping (OHBM) Annual Meeting 2024, SeoulSeoul, South Korea, 23 Jun 2024 - 27 Jun 20242024-06-232024-06-27
[10.34734/FZJ-2024-05133]
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Please use a persistent id in citations: doi:10.34734/FZJ-2024-05133
Note: The work was supported by: National Institute of Mental Health (R01-MH074457 & P41EB015896); Helmholtz Portfolio Theme "Supercomputing and Modeling for the Human Brain“; European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No. 945539 (HBP SGA3) and by a fellowship of the German Academic Exchange Service (DAAD)
Contributing Institute(s):
- Gehirn & Verhalten (INM-7)
Research Program(s):
- 5251 - Multilevel Brain Organization and Variability (POF4-525) (POF4-525)
- 5252 - Brain Dysfunction and Plasticity (POF4-525) (POF4-525)
- HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) (945539)
- JL SMHB - Joint Lab Supercomputing and Modeling for the Human Brain (JL SMHB-2021-2027) (JL SMHB-2021-2027)
Appears in the scientific report
2024
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