Temporal Derivative Distribution Repair (TDDR): A motion correction method for fNIRS
| Autor: | Chandan J. Vaidya, Frank A. Fishburn, Ruth S. Ludlum, Andrei V. Medvedev |
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| Rok vydání: | 2019 |
| Předmět: |
genetic structures
Computer science Cognitive Neuroscience Article 050105 experimental psychology 03 medical and health sciences 0302 clinical medicine Neuroimaging Motion artifacts Functional neuroimaging medicine Humans Computer Simulation 0501 psychology and cognitive sciences Brain Mapping Artifact (error) Spectroscopy Near-Infrared Modality (human–computer interaction) medicine.diagnostic_test Working memory business.industry 05 social sciences Reproducibility of Results Signal Processing Computer-Assisted Pattern recognition Image Enhancement ROC Curve Neurology Functional near-infrared spectroscopy Artificial intelligence Artifacts Functional magnetic resonance imaging business Algorithms 030217 neurology & neurosurgery |
| Zdroj: | NeuroImage. 184:171-179 |
| ISSN: | 1053-8119 |
| DOI: | 10.1016/j.neuroimage.2018.09.025 |
| Popis: | Functional near-infrared spectroscopy (fNIRS) is an optical neuroimaging technique of growing interest as a tool for investigation of cortical activity. Due to the on-head placement of optodes, artifacts arising from head motion are relatively less severe than for functional magnetic resonance imaging (fMRI). However, it is still necessary to remove motion artifacts. We present a novel motion correction procedure based on robust regression, which effectively removes baseline shift and spike artifacts without the need for any user-supplied parameters. Our simulations show that this method yields better activation detection performance than 5 other current motion correction methods. In our empirical validation on a working memory task in a sample of children 7–15 years, our method produced stronger and more extensive activation than any of the other methods tested. The new motion correction method enhances the viability of fNIRS as a functional neuroimaging modality for use in populations not amenable to fMRI. [Image: see text] |
| Databáze: | OpenAIRE |
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