Community-level modeling of gyral folding patterns for robust and anatomically informed individualized brain mapping.

Chen M, Chen T, Zhuang Y, Cao C, Zhang J, Liu T, Zhang L, Zhu D

DOI: 10.1016/j.neuroimage.2026.122037
Published: 2026 Sep
Container: NeuroImage
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1016/j.neuroimage.2026.122037,
  title = {Community-level modeling of gyral folding patterns for robust and anatomically informed individualized brain mapping.},
  author = {Chen M and Chen T and Zhuang Y and Cao C and Zhang J and Liu T and Zhang L and Zhu D},
  year = {2026},
  journal = {NeuroImage},
  doi = {10.1016/j.neuroimage.2026.122037},
  url = {https://doi.org/10.1016/j.neuroimage.2026.122037}
}

RIS

TY  - JOUR
TI  - Community-level modeling of gyral folding patterns for robust and anatomically informed individualized brain mapping.
AU  - Chen M
AU  - Chen T
AU  - Zhuang Y
AU  - Cao C
AU  - Zhang J
AU  - Liu T
AU  - Zhang L
AU  - Zhu D
PY  - 2026
JO  - NeuroImage
DO  - 10.1016/j.neuroimage.2026.122037
UR  - https://doi.org/10.1016/j.neuroimage.2026.122037
ER  -

APA

M, C., T, C., Y, Z., C, C., J, Z., T, L., L, Z., & D, Z. (2026). Community-level modeling of gyral folding patterns for robust and anatomically informed individualized brain mapping.. NeuroImage. https://doi.org/10.1016/j.neuroimage.2026.122037

Source records

pubmed · retrieved 2026-09-25T18:37:48.333Z
europe-pmc · retrieved 2026-09-25T18:37:48.313Z