Cross-modality network phenotyping: a multivariate MRI biomarker signature predicts spatial pathology and clinical severity in EAE.

Virgincar RS, Choy MK, Jeet S, Martinez H, Ghita L, Peralta R, Bender H, Webster JD, Barck K, Kim HJ, Chintalacharuvu S, Xie L

Open source

DOI: 10.3389/fneur.2026.1850801
Published: 2026
Container: Frontiers in neurology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fneur.2026.1850801,
  title = {Cross-modality network phenotyping: a multivariate MRI biomarker signature predicts spatial pathology and clinical severity in EAE.},
  author = {Virgincar RS and Choy MK and Jeet S and Martinez H and Ghita L and Peralta R and Bender H and Webster JD and Barck K and Kim HJ and Chintalacharuvu S and Xie L},
  year = {2026},
  journal = {Frontiers in neurology},
  doi = {10.3389/fneur.2026.1850801},
  url = {https://doi.org/10.3389/fneur.2026.1850801}
}

RIS

TY  - JOUR
TI  - Cross-modality network phenotyping: a multivariate MRI biomarker signature predicts spatial pathology and clinical severity in EAE.
AU  - Virgincar RS
AU  - Choy MK
AU  - Jeet S
AU  - Martinez H
AU  - Ghita L
AU  - Peralta R
AU  - Bender H
AU  - Webster JD
AU  - Barck K
AU  - Kim HJ
AU  - Chintalacharuvu S
AU  - Xie L
PY  - 2026
JO  - Frontiers in neurology
DO  - 10.3389/fneur.2026.1850801
UR  - https://doi.org/10.3389/fneur.2026.1850801
ER  -

APA

RS, V., MK, C., S, J., H, M., L, G., R, P., H, B., JD, W., K, B., HJ, K., S, C., & L, X. (2026). Cross-modality network phenotyping: a multivariate MRI biomarker signature predicts spatial pathology and clinical severity in EAE.. Frontiers in neurology. https://doi.org/10.3389/fneur.2026.1850801

Source records

pubmed · retrieved 2026-11-10T11:31:28.809Z