TY - JOUR
T1 - A quantitative spatial comparison of high-density diffuse optical tomography and fMRI cortical mapping
AU - Eggebrecht, Adam T.
AU - White, Brian R.
AU - Ferradal, Silvina L.
AU - Chen, Chunxiao
AU - Zhan, Yuxuan
AU - Snyder, Abraham Z.
AU - Dehghani, Hamid
AU - Culver, Joseph P.
N1 - Funding Information:
This work was supported in part by NIH grants R01-EB009233 (J.P.C), T90-DA022871 (Imaging Science Fellowship, B.R.W.) and a Fulbright Science and Technology Ph.D. Award (S.L.F.). The funding source had no involvement in the study design, collection, analysis, interpretation of the data, writing of the paper, or decision to submit the paper for publication. J.P.C and Washington University have financial interests in Cephalogics LLC based on a license of related optical imaging technology by the University to Cephalogics LLC.
PY - 2012/7/16
Y1 - 2012/7/16
N2 - Functional neuroimaging commands a dominant role in current neuroscience research. However its use in bedside clinical and certain neuro-scientific studies has been limited because the current tools lack the combination of being non-invasive, non-ionizing and portable while maintaining moderate resolution and localization accuracy. Optical neuroimaging satisfies many of these requirements, but, until recent advances in high-density diffuse optical tomography (HD-DOT), has been hampered by limited resolution. While early results of HD-DOT have been promising, a quantitative voxel-wise comparison and validation of HD-DOT against the gold standard of functional magnetic resonance imaging (fMRI) has been lacking. Herein, we provide such an analysis within the visual cortex using matched visual stimulation protocols in a single group of subjects (n = 5) during separate HD-DOT and fMRI scanning sessions. To attain the needed voxel-to-voxel co-registration between HD-DOT and fMRI image spaces, we implemented subject-specific head modeling that incorporated MRI anatomy, detailed segmentation, and alignment of source and detector positions. Comparisons of the visual responses found an average localization error between HD-DOT and fMRI of 4.4. +/- 1. mm, significantly less than the average distance between cortical gyri. This specificity demonstrates that HD-DOT has sufficient image quality to be useful as a surrogate for fMRI.
AB - Functional neuroimaging commands a dominant role in current neuroscience research. However its use in bedside clinical and certain neuro-scientific studies has been limited because the current tools lack the combination of being non-invasive, non-ionizing and portable while maintaining moderate resolution and localization accuracy. Optical neuroimaging satisfies many of these requirements, but, until recent advances in high-density diffuse optical tomography (HD-DOT), has been hampered by limited resolution. While early results of HD-DOT have been promising, a quantitative voxel-wise comparison and validation of HD-DOT against the gold standard of functional magnetic resonance imaging (fMRI) has been lacking. Herein, we provide such an analysis within the visual cortex using matched visual stimulation protocols in a single group of subjects (n = 5) during separate HD-DOT and fMRI scanning sessions. To attain the needed voxel-to-voxel co-registration between HD-DOT and fMRI image spaces, we implemented subject-specific head modeling that incorporated MRI anatomy, detailed segmentation, and alignment of source and detector positions. Comparisons of the visual responses found an average localization error between HD-DOT and fMRI of 4.4. +/- 1. mm, significantly less than the average distance between cortical gyri. This specificity demonstrates that HD-DOT has sufficient image quality to be useful as a surrogate for fMRI.
KW - Cortex
KW - Functional neuroimaging
KW - Human
KW - Mapping
KW - Optical tomography
UR - http://www.scopus.com/inward/record.url?scp=84861332599&partnerID=8YFLogxK
U2 - 10.1016/j.neuroimage.2012.01.124
DO - 10.1016/j.neuroimage.2012.01.124
M3 - Article
C2 - 22330315
AN - SCOPUS:84861332599
SN - 1053-8119
VL - 61
SP - 1120
EP - 1128
JO - NeuroImage
JF - NeuroImage
IS - 4
ER -