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| Hauptseite > Publikationsdatenbank > Is resting state fMRI better than individual characteristics at predicting cognition? > print |
| Hauptseite > Publikationsdatenbank > Is resting state fMRI better than individual characteristics at predicting cognition? > print |
| 001 | 1006699 | ||
| 005 | 20230413201810.0 | ||
| 024 | 7 | _ | |a 2128/34279 |2 Handle |
| 037 | _ | _ | |a FZJ-2023-01788 |
| 100 | 1 | _ | |a Omidvarnia, Amir |0 P:(DE-Juel1)188339 |b 0 |e Corresponding author |
| 111 | 2 | _ | |a General Assembly of the Joint Lab Supercomputing and Modeling for the Human Brain (SMHB) |c Jülich |d 2023-04-04 - 2023-04-05 |w Germany |
| 245 | _ | _ | |a Is resting state fMRI better than individual characteristics at predicting cognition? |
| 260 | _ | _ | |c 2023 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
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| 500 | _ | _ | |a This research was supported by the Joint Lab “Supercomputing and Modeling for the Human Brain”. |
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| 700 | 1 | _ | |a Patil, Kaustubh |0 P:(DE-Juel1)172843 |b 11 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1006699/files/Poster%20SMHB%202023%20Amir.pdf |y OpenAccess |
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