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Multi-subject and multi-task experimental validation of the hierarchical Bayesian diffuse optical tomography algorithm
| Content Provider | Scilit |
|---|---|
| Author | Yamashita, Okito Shimokawa, Takeaki Aisu, Ryota Amita, Takashi Inoue, Yoshihiro Sato, Masa-Aki |
| Copyright Year | 2016 |
| Description | Journal: NeuroImage Diffuse optical tomography (DOT) is an emerging technology for improving the spatial resolution and spatial specificity of conventional multi-channel near-infrared spectroscopy (NIRS) by the use of high-density measurements and an image reconstruction algorithm. We recently proposed a hierarchical Bayesian DOT algorithm that allows for accurate simultaneous reconstruction of scalp and cortical hemodynamic changes, and verified its performance with a phantom experiment, a computer simulation, and experimental data from one human subject. We extend our previous human case study to a multi-subject, multi-task study, to demonstrate the validity of the algorithm on a wider population and varied task conditions. We measured brain activity during three graded tasks (hand movement, index finger movement, and no-movement), in 12 subjects, using high-density NIRS and functional magnetic resonance imaging (fMRI), acquired in different sessions. The reconstruction performance of our algorithm, and the current gold-standard method for DOT image reconstruction, were evaluated using the blood-oxygenation-level-dependent (BOLD) signals of the fMRI as a reference. In comparison with the BOLD signals, our method achieved a median localization error of 6 and 8mm, and a spatial-pattern similarity of 0.6 and 0.4 for the hand and finger tasks, respectively. It also did not reconstruct any activity in the no-movement task. Compared with the current gold-standard method, the new method showed fewer false positives, which resulted in improved spatial-pattern similarity, although the localization errors of the main activity clusters were comparable. |
| Related Links | https://core.ac.uk/download/pdf/82104045.pdf |
| Ending Page | 299 |
| Page Count | 13 |
| Starting Page | 287 |
| ISSN | 10538119 |
| DOI | 10.1016/j.neuroimage.2016.04.068 |
| Journal | NeuroImage |
| Volume Number | 135 |
| Language | English |
| Publisher | Elsevier BV |
| Publisher Date | 2016-07-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: NeuroImage Diffuse Optical Tomography Image Reconstruction |
| Content Type | Text |
| Resource Type | Article |
| Subject | Neurology Cognitive Neuroscience |
