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    Validation of periodic fMRI signals in response to wearable tactile stimulation

    Chen, C.-f. and Kreutz-Delgado, K. and Sereno, Martin I. and Huang, R.-S. (2017) Validation of periodic fMRI signals in response to wearable tactile stimulation. NeuroImage 150 , pp. 99-111. ISSN 1053-8119.

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    Abstract

    To map cortical representations of the body, we recently developed a wearable technology for automatic tactile stimulation in human functional magnetic resonance imaging (fMRI) experiments. In a two-condition block design experiment, air puffs were delivered to the face and hands periodically. Surface-based regions of interest (S-ROIs) were initially identified by thresholding a linear statistical measure of signal-to-noise ratio of periodic response. Across subjects, S-ROIs were found in the frontal, primary sensorimotor, posterior parietal, insular, temporal, cingulate, and occipital cortices. To validate and differentiate these S-ROIs, we develop a measure of temporal stability of response based on the assumption that a periodic stimulation evokes stable (low-variance) periodic fMRI signals throughout the entire scan. Toward this end, we apply time-frequency analysis to fMRI time series and use circular statistics to characterize the distribution of phase angles for data selection. We then assess the temporal variability of a periodic signal by measuring the path length of its trajectory in the complex plane. Both within and outside the primary sensorimotor cortex, S-ROIs with high temporal variability and deviant phase angles are rejected. A surface-based probabilistic group-average map is constructed for spatial screening of S-ROIs with low to moderate temporal variability in non-sensorimotor regions. Areas commonly activated across subjects are also summarized in the group-average map. In summary, this study demonstrates that analyzing temporal characteristics of the entire fMRI time series is essential for second-level selection and interpretation of S-ROIs initially defined by an overall linear statistical measure.

    Metadata

    Item Type: Article
    Keyword(s) / Subject(s): Wearable tactile stimulation, Human somatotopy, Linear systems analysis, Time-frequency analysis, Signal stability
    School: Birkbeck Schools and Departments > School of Science > Psychological Sciences
    Research Centre: Neuroimaging, Birkbeck-UCL Centre for (BUCNI)
    Depositing User: Administrator
    Date Deposited: 07 Mar 2017 13:50
    Last Modified: 22 May 2017 13:03
    URI: http://eprints.bbk.ac.uk/id/eprint/18291

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