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Resting-state functional connectivity assessed with two diffuse optical tomographic systems
- Source :
- Journal of biomedical optics. 16(4)
- Publication Year :
- 2011
-
Abstract
- Functional near-infrared spectroscopy (fNIRS) is recently utilized as a new approach to assess resting-state functional connectivity (RSFC) in the human brain. For any new technique or new methodology, it is necessary to be able to replicate similar experiments using different instruments in order to establish its liability and reproducibility. We apply two different diffuse optical tomographic (DOT) systems (i.e., DYNOT and CW5), with various probe arrangements to evaluate RSFC in the sensorimotor cortex by utilizing a previously published experimental protocol and seed-based correlation analysis. Our results exhibit similar spatial patterns and strengths in RSFC between the bilateral motor cortexes. The consistent observations are obtained from both DYNOT and CW5 systems, and are also in good agreement with the previous fNIRS study. Overall, we demonstrate that the fNIRS-based RSFC is reproducible by various DOT imaging systems among different research groups, enhancing the confidence of neuroscience researchers and clinicians to utilize fNIRS for future applications.
- Subjects :
- Adult
Research groups
Adolescent
Computer science
Rest
Research Papers: Imaging
Biomedical Engineering
Biomaterials
Young Adult
medicine
Humans
Tomography, Optical
Optical tomography
Sensorimotor cortex
Reproducibility
Brain Mapping
Spectroscopy, Near-Infrared
medicine.diagnostic_test
Resting state fMRI
business.industry
Functional connectivity
Motor Cortex
Pattern recognition
Signal Processing, Computer-Assisted
Atomic and Molecular Physics, and Optics
Electronic, Optical and Magnetic Materials
Tomography
Artificial intelligence
Functional magnetic resonance imaging
business
Subjects
Details
- ISSN :
- 15602281
- Volume :
- 16
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Journal of biomedical optics
- Accession number :
- edsair.doi.dedup.....9cd474340df3196e770869a03119492d