A multicohort geometric deep learning study of age dependent cortical and subcortical morphologic interactions for fluid intelligence prediction.

Wu Y, Besson P, Azcona EA, Bandt SK, Parrish TB, Breiter HC, Katsaggelos AK

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DOI: 10.1038/s41598-022-22313-x
Published: 2022 Oct 22
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-022-22313-x,
  title = {A multicohort geometric deep learning study of age dependent cortical and subcortical morphologic interactions for fluid intelligence prediction.},
  author = {Wu Y and Besson P and Azcona EA and Bandt SK and Parrish TB and Breiter HC and Katsaggelos AK},
  year = {2022},
  journal = {Scientific reports},
  doi = {10.1038/s41598-022-22313-x},
  url = {https://doi.org/10.1038/s41598-022-22313-x}
}

RIS

TY  - JOUR
TI  - A multicohort geometric deep learning study of age dependent cortical and subcortical morphologic interactions for fluid intelligence prediction.
AU  - Wu Y
AU  - Besson P
AU  - Azcona EA
AU  - Bandt SK
AU  - Parrish TB
AU  - Breiter HC
AU  - Katsaggelos AK
PY  - 2022
JO  - Scientific reports
DO  - 10.1038/s41598-022-22313-x
UR  - https://doi.org/10.1038/s41598-022-22313-x
ER  -

APA

Y, W., P, B., EA, A., SK, B., TB, P., HC, B., & AK, K. (2022). A multicohort geometric deep learning study of age dependent cortical and subcortical morphologic interactions for fluid intelligence prediction.. Scientific reports. https://doi.org/10.1038/s41598-022-22313-x

Source records

pubmed · retrieved 2026-09-26T01:32:54.551Z
europe-pmc · retrieved 2026-09-26T01:32:54.557Z
doaj · retrieved 2026-09-26T01:32:54.577Z