A multi-frequency ICA-based approach for estimating voxelwise frequency difference patterns in fMRI data

Neda Behzadfar, Daniel Mathalon, Adrian Preda, Armin Iraji, Vince D Calhoun

Open source

DOI: 10.52294/001c.129695
Published: 2025-02-25
Container: Aperture Neuro
Publisher: Organization for Human Brain Mapping
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.52294/001c.129695,
  title = {A multi-frequency ICA-based approach for estimating voxelwise frequency difference patterns in fMRI data},
  author = {Neda Behzadfar and Daniel Mathalon and Adrian Preda and Armin Iraji and Vince D Calhoun},
  year = {2025},
  journal = {Aperture Neuro},
  doi = {10.52294/001c.129695},
  url = {https://doi.org/10.52294/001c.129695}
}

RIS

TY  - JOUR
TI  - A multi-frequency ICA-based approach for estimating voxelwise frequency difference patterns in fMRI data
AU  - Neda Behzadfar
AU  - Daniel Mathalon
AU  - Adrian Preda
AU  - Armin Iraji
AU  - Vince D Calhoun
PY  - 2025
JO  - Aperture Neuro
DO  - 10.52294/001c.129695
UR  - https://doi.org/10.52294/001c.129695
ER  -

APA

Behzadfar, N., Mathalon, D., Preda, A., Iraji, A., & Calhoun, V. D. (2025). A multi-frequency ICA-based approach for estimating voxelwise frequency difference patterns in fMRI data. Aperture Neuro. https://doi.org/10.52294/001c.129695

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crossref · retrieved 2026-09-25T02:07:57.111Z