Voxel-wise temporal decomposition of hypoxia-powered BOLD MRI: method development and proof-of-concept…

Abstract

Hypoxia-powered blood oxygen level-dependent (BOLD) MRI probes the BOLD response to a controlled transient hypoxic stimulus. We developed GLIODISSECT, an operational voxel-wise framework that separates relative response arrival, descending and recovery transitions, and threshold-defined steady state amplitude. Twenty healthy controls underwent 3-T BOLD MRI during a double hypoxic-step challenge, and three patients with newly diagnosed glioblastoma were included as proof-of-concept cases. Full-record cross-correlation and first-step 10% landmarks yielded one refined voxel-wise lag that was reused downstream. Alternative 5%/95% and 20%/80% thresholds preserved steady state map patterns (median within-subject spatial r 0.9987-0.9998), while timing measures were more threshold-dependent. Numerical criteria were satisfied in 97.789% and 97.682% of evaluable delay-to-plateau (DTP) estimates and in all evaluable delay-to-return (DTR) estimates. Leave-one-subject-out validation of the global-response-adjusted steady state model yielded a median voxel-wise Q2 of 0.345 and reduced pooled prediction error by 16.0%, improving 19 of 20 controls. In the three illustrative cases, component and deviation maps displayed spatially heterogeneous timing and steady state patterns that could not be represented by one response-amplitude summary. GLIODISSECT supports component-specific mapping and voxel-wise normative interpretation. Biological and clinical validation remain required.

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BibTeX RIS

BibTeX

@misc{schmidlechner2026voxelwise,
  title = {{Voxel-wise temporal decomposition of hypoxia-powered BOLD MRI: method development and proof-of-concept application in glioblastoma}},
  author = {T. Schmidlechner and V. Stumpo and E. Jehli and L. Zerweck and J. Bellomo and M. Gönel and F. Müller and N. Cantavella Franch and M. Sebök and A. Bink and Z. Kulcsar and M. Weller and L. Regli and J. Fierstra and C. H. B. van Niftrik},
  howpublished = {medRxiv},
  year = {2026},
  month = may,
  doi = {10.64898/2026.05.27.26354265},
  url = {https://www.medrxiv.org/content/10.64898/2026.05.27.26354265v2},
  note = {CC BY},
}

RIS

TY  - UNPB
TI  - Voxel-wise temporal decomposition of hypoxia-powered BOLD MRI: method development and proof-of-concept application in glioblastoma
AU  - T. Schmidlechner
AU  - V. Stumpo
AU  - E. Jehli
AU  - L. Zerweck
AU  - J. Bellomo
AU  - M. Gönel
AU  - F. Müller
AU  - N. Cantavella Franch
AU  - M. Sebök
AU  - A. Bink
AU  - Z. Kulcsar
AU  - M. Weller
AU  - L. Regli
AU  - J. Fierstra
AU  - C. H. B. van Niftrik
PY  - 2026
DA  - 2026/05/27
PB  - medRxiv
DO  - 10.64898/2026.05.27.26354265
UR  - https://www.medrxiv.org/content/10.64898/2026.05.27.26354265v2
AB  - Hypoxia-powered blood oxygen level-dependent (BOLD) MRI probes the BOLD response to a controlled transient hypoxic stimulus. We developed GLIODISSECT, an operational voxel-wise framework that separates relative response arrival, descending and recovery transitions, and threshold-defined steady state amplitude. Twenty healthy controls underwent 3-T BOLD MRI during a double hypoxic-step challenge, and three patients with newly diagnosed glioblastoma were included as proof-of-concept cases. Full-record cross-correlation and first-step 10% landmarks yielded one refined voxel-wise lag that was reused downstream. Alternative 5%/95% and 20%/80% thresholds preserved steady state map patterns (median within-subject spatial r 0.9987-0.9998), while timing measures were more threshold-dependent. Numerical criteria were satisfied in 97.789% and 97.682% of evaluable delay-to-plateau (DTP) estimates and in all evaluable delay-to-return (DTR) estimates. Leave-one-subject-out validation of the global-response-adjusted steady state model yielded a median voxel-wise Q2 of 0.345 and reduced pooled prediction error by 16.0%, improving 19 of 20 controls. In the three illustrative cases, component and deviation maps displayed spatially heterogeneous timing and steady state patterns that could not be represented by one response-amplitude summary. GLIODISSECT supports component-specific mapping and voxel-wise normative interpretation. Biological and clinical validation remain required.
ER  -

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