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Validation of periodic fMRI signals in response to wearable tactile stimulation
by
Chen, Ching-fu
, Huang, Ruey-Song
, Kreutz-Delgado, Kenneth
, Sereno, Martin I.
in
Brain Mapping - instrumentation
/ Brain Mapping - methods
/ Experiments
/ Female
/ Frequency dependence
/ Functional magnetic resonance imaging
/ Human somatotopy
/ Humans
/ Image Interpretation, Computer-Assisted
/ Linear systems analysis
/ Magnetic Resonance Imaging
/ Male
/ Medical imaging
/ Neuroimaging
/ NMR
/ Nuclear magnetic resonance
/ Occipital lobe
/ Physical Stimulation - instrumentation
/ Scanners
/ Sensorimotor Cortex - physiology
/ Signal stability
/ Somatosensory cortex
/ Spatial distribution
/ Statistical analysis
/ Statistics
/ Tactile stimuli
/ Temporal lobe
/ Time series
/ Time-frequency analysis
/ Wearable Electronic Devices
/ Wearable tactile stimulation
/ Young Adult
2017
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Validation of periodic fMRI signals in response to wearable tactile stimulation
by
Chen, Ching-fu
, Huang, Ruey-Song
, Kreutz-Delgado, Kenneth
, Sereno, Martin I.
in
Brain Mapping - instrumentation
/ Brain Mapping - methods
/ Experiments
/ Female
/ Frequency dependence
/ Functional magnetic resonance imaging
/ Human somatotopy
/ Humans
/ Image Interpretation, Computer-Assisted
/ Linear systems analysis
/ Magnetic Resonance Imaging
/ Male
/ Medical imaging
/ Neuroimaging
/ NMR
/ Nuclear magnetic resonance
/ Occipital lobe
/ Physical Stimulation - instrumentation
/ Scanners
/ Sensorimotor Cortex - physiology
/ Signal stability
/ Somatosensory cortex
/ Spatial distribution
/ Statistical analysis
/ Statistics
/ Tactile stimuli
/ Temporal lobe
/ Time series
/ Time-frequency analysis
/ Wearable Electronic Devices
/ Wearable tactile stimulation
/ Young Adult
2017
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Validation of periodic fMRI signals in response to wearable tactile stimulation
by
Chen, Ching-fu
, Huang, Ruey-Song
, Kreutz-Delgado, Kenneth
, Sereno, Martin I.
in
Brain Mapping - instrumentation
/ Brain Mapping - methods
/ Experiments
/ Female
/ Frequency dependence
/ Functional magnetic resonance imaging
/ Human somatotopy
/ Humans
/ Image Interpretation, Computer-Assisted
/ Linear systems analysis
/ Magnetic Resonance Imaging
/ Male
/ Medical imaging
/ Neuroimaging
/ NMR
/ Nuclear magnetic resonance
/ Occipital lobe
/ Physical Stimulation - instrumentation
/ Scanners
/ Sensorimotor Cortex - physiology
/ Signal stability
/ Somatosensory cortex
/ Spatial distribution
/ Statistical analysis
/ Statistics
/ Tactile stimuli
/ Temporal lobe
/ Time series
/ Time-frequency analysis
/ Wearable Electronic Devices
/ Wearable tactile stimulation
/ Young Adult
2017
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Validation of periodic fMRI signals in response to wearable tactile stimulation
Journal Article
Validation of periodic fMRI signals in response to wearable tactile stimulation
2017
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Overview
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.
•MR-compatible wearable technology for tactile stimulation on multiple body parts.•Second-level data selection using time-frequency analysis and circular statistics.•Measuring temporal stability of periodic fMRI time series in the complex plane.•Surface-based regions of interest and probabilistic group-average maps.
Publisher
Elsevier Inc,Elsevier Limited
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