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Advancing fNIRS integration with f/MRI for brain connectomics in healthy and diseased brains
Studies integrating functional near-infrared spectroscopy (fNIRS) with functional MRI (fMRI) employ heterogeneous
methods in defining common regions of interest in which similarities are assessed. Therefore, spatial agreement and
temporal correlation may not be reproducible across studies. In the present work, we address this issue by proposing a
novel method for integration and analysis of fNIRS and fMRI over the cortical surface. Eighteen healthy volunteers (age
mean±SD 30.55 ± 4.7, 7 males) performed a motor task during non-simultaneous fMRI and fNIRS acquisitions. First,
fNIRS and fMRI data were integrated by projecting subject- and group-level source maps over the cortical surface mesh
to define anatomically constrained functional ROIs (acfROI). Next, spatial agreement and temporal correlation were
quantified as Dice Coefficient (DC) and Pearson's correlation coefficient between fNIRS-fMRI in the acfROIs. Subject
level results revealed moderate to substantial spatial agreement (DC range 0.43 - 0.64), confirmed at the group-level only
for blood oxygenation level-dependent (BOLD) signal vs. HbO2 (0.44 - 0.69), while lack of agreement was found for
BOLD vs. HbR in some instances (0.05 - 0.49). Subject-level temporal correlation was moderate to strong (0.79 - 0.85
for BOLD vs. HbO2 and -0.62 to -0.72 for BOLD vs. HbR), while an overall strong correlation was found for group-level
results (0.95 - 0.98 for BOLD vs. HbO2 and -0.91 to -0.94 for BOLD vs. HbR). The proposed method directly compares
fNIRS and fMRI by projecting individual source maps to the cortical surface. Our results indicate spatial and temporal
correspondence between fNIRS and fMRI, and promotes the use of fNIRS when more ecological acquision settings are
required, such as longitudinal monitoring of brain activity before and after rehabilitation.
Possibili applicazioni: Advanced diagnostic in the framework of neurorehabilitation
Healthcare, Life Sciences, Medical device
Settori Scientifico Disciplinari
ING-INF/06 ELECTRONIC AND INFORMATICS BIOENGINEERING MED/26 NEUROLOGY
Spoke 2 : Neural Plasticity and Connectivity


