Fine tuning breath-hold-based cerebrovascular reactivity analysis models.
We elaborate on existing analysis methods for breath-hold (BH)-derived cerebrovascular reactivity (CVR) measurements and describe novel insights and models toward more exact CVR interpretation.



Five blood-oxygen-level-dependent (BOLD) fMRI datasets of neurovascular patients with unilateral hemispheric hemodynamic impairment were used to test various BH CVR analysis methods. Temporal lag (phase), percent BOLD signal change (CVR), and explained variance (coherence) maps were calculated using three different sine models and two novel "Optimal Signal" model-free methods based on the unaffected hemisphere and the sagittal sinus fMRI signal time series, respectively.



All models showed significant differences in CVR and coherence between the affected-hemodynamic impaired-and unaffected hemisphere. Voxel-wise phase determination significantly increases CVR (0.60 ± 0.18 vs. 0.82 ± 0.27; P < 0.05). Incorporating different durations of breath hold and resting period in one sine model (two-task) did increase coherence in the unaffected hemisphere, as well as eliminating negative phase commonly obtained by one-task frequency models. The novel model-free "optimal signal" methods both explained the BOLD MR data similar to the two task sine model.



Our CVR analysis demonstrates an improved CVR and coherence after implementation of voxel-wise phase and frequency adjustment. The novel "optimal signal" methods provide a robust and feasible alternative to the sine models, as both are model-free and independent of compliance. Here, the sagittal sinus model may be advantageous, as it is independent of hemispheric CVR impairment.
Department of Neurosurgery University Hospital Zurich University of Zurich Clinical Neuroscience Center Frauenklinikstrasse 10 8091 Zurich Switzerland.
Christiaan Hendrik Bas
CH
van Niftrik
Department of Neuroradiology University Hospital Zurich University of Zurich Clinical Neuroscience Center Frauenklinikstrasse 10 8091 Zurich Switzerland.
Marco
M
Piccirelli
Department of Neurosurgery University Hospital Zurich University of Zurich Clinical Neuroscience Center Frauenklinikstrasse 10 8091 Zurich Switzerland.
Oliver
O
Bozinov
Department of Neuroradiology University Hospital Zurich University of Zurich Clinical Neuroscience Center Frauenklinikstrasse 10 8091 Zurich Switzerland.
Athina
A
Pangalu
Department of Neuroradiology University Hospital Zurich University of Zurich Clinical Neuroscience Center Frauenklinikstrasse 10 8091 Zurich Switzerland.
Antonios
A
Valavanis
Department of Neurosurgery University Hospital Zurich University of Zurich Clinical Neuroscience Center Frauenklinikstrasse 10 8091 Zurich Switzerland.
Luca
L
Regli
Department of Neurosurgery University Hospital Zurich University of Zurich Clinical Neuroscience Center Frauenklinikstrasse 10 8091 Zurich Switzerland.
Jorn
J
Fierstra
D000368:Aged; D001921:Brain / Q000098:blood supply* / Q000000981:diagnostic imaging / Q000502:physiology; D001931:Brain Mapping / Q000379:methods; D062485:Breath Holding; D002560:Cerebrovascular Circulation / Q000502:physiology*; D066264:Datasets as Topic; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods; D008297:Male; D008955:Models, Cardiovascular; D008959:Models, Neurological; D010100:Oxygen / Q000378:metabolism
D010100:Oxygen
BOLD; breath‐hold; cerebrovascular reactivity; human brain; hypercapnia