Detection of Simulated Tactile Gratings by Electro-Static Friction Show a Dependency on Bar Width for Blind and Sighted Observers, and Preliminary Neural Correlates in Sighted Observers

Vuong, Quoc C.; Shaaban, Aya M.; Black, Carla; Smith, James O.; Nassar, Mahmoud; Abozied, Ahmed; Degenaar, Patrick; Al-Atabany, Walid

doi:10.3389/fnins.2020.548030

Cited by 2 publications

(1 citation statement)

References 71 publications

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“…Furthermore, neural activity in the dorsal posterior insula is correlated with thermal sensation of low temperature ( Craig et al, 2000 , Peltz et al, 2011 ; Oi et al, 2017 ). Recently, it was confirmed that the tactile network, including SI and SII, was activated during detection of tactile gratings using an advanced tactile stimulus that makes a grating using electro-static friction ( Vuong et al, 2020 ).…”

Section: Introductionmentioning

confidence: 98%

Neural correlates of tactile hardness intensity perception during active grasping

Kim

Yeon

et al. 2021

PeerJ

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While tactile sensation plays an essential role in interactions with the surroundings, relatively little is known about the neural processes involved in the perception of tactile information. In particular, it remains unclear how different intensities of tactile hardness are represented in the human brain during object manipulation. This study aims to investigate neural responses to various levels of tactile hardness using functional magnetic resonance imaging while people grasp objects to perceive hardness intensity. We used four items with different hardness levels but otherwise identical in shape and texture. A total of Twenty-five healthy volunteers participated in this study. Before scanning, participants performed a behavioral task in which they received a pair of stimuli and they were to report the perceived difference of hardness between them. During scanning, without any visual information, they were randomly given one of the four objects and asked to grasp it. We found significant blood oxygen-level-dependent (BOLD) responses in the posterior insula in the right hemisphere (rpIns) and the right posterior lobe of the cerebellum (rpCerebellum), which parametrically tracked hardness intensity. These responses were supported by BOLD signal changes in the rpCerebellum and rpIns correlating with tactile hardness intensity. Multidimensional scaling analysis showed similar representations of hardness intensity among physical, perceptual, and neural information. Our findings demonstrate the engagement of the rpCerebellum and rpIns in perceiving tactile hardness intensity during active object manipulation.

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Section: Introductionmentioning

confidence: 98%

Neural correlates of tactile hardness intensity perception during active grasping

Kim

Yeon

et al. 2021

PeerJ

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Oscillatory cortico-cortical connectivity during tactile discrimination between dynamic and static stimulation

Wang,

Liu,

Wang

et al. 2024

Cerebral Cortex

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Fine sensory modalities play an essential role in perceiving the world. However, little is known about how the cortico-cortical distinguishes between dynamic and static tactile signals. This study investigated oscillatory connectivity during a tactile discrimination task of dynamic and static stimulation via electroencephalogram (EEG) recordings and the fast oscillatory networks across widespread cortical regions. While undergoing EEG recordings, the subject felt an electro-tactile presented by a 3-dot array. Each block consisted of 3 forms of stimulation: Spatio-temporal (dynamic), Spatial (static), and Control condition (lack of electrical stimulation). The average event-related potential for the Spatial and Spatio-temporal conditions exhibited statistically significant differences between 25 and 75, 81 and 121, 174 and 204 and 459 and 489 ms after stimulus onset. Based on those times, the sLORETA approach was used to reconstruct the inverse solutions of EEG. Source localization appeared superior parietal at around 25 to 75 ms, in the primary motor cortex at 81 to 121 ms, in the central prefrontal cortex at 174 to 204 and 459 to 489 ms. To better assess spectral brain functional connectivity, we selected frequency ranges with correspondingly significant differences: for static tactile stimulation, these are concentrated in the Theta, Alpha, and Gamma bands, whereas for dynamic stimulation, the relative energy change bands are focused on the Theta and Alpha bands. These nodes’ functional connectivity analysis (phase lag index) showed 3 distinct distributed networks. A tactile information discrimination network linked the Occipital lobe, Prefrontal lobe, and Postcentral gyrus. A tactile feedback network linked the Prefrontal lobe, Postcentral gyrus, and Temporal lobe. A dominant motor feedforward loop network linked the Parietal cortex, Prefrontal lobe, Frontal lobe, and Parietal cortex. Processing dynamic and static tactile signals involves discriminating tactile information, motion planning, and cognitive decision processing.

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Detection of Simulated Tactile Gratings by Electro-Static Friction Show a Dependency on Bar Width for Blind and Sighted Observers, and Preliminary Neural Correlates in Sighted Observers

Cited by 2 publications

References 71 publications

Neural correlates of tactile hardness intensity perception during active grasping

Neural correlates of tactile hardness intensity perception during active grasping

Oscillatory cortico-cortical connectivity during tactile discrimination between dynamic and static stimulation

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