Tactile Perception for Stroke Induce Changes in Electroencephalography

Ahn, Si-Nae; Lee, Jeong-Weon

doi:10.1016/j.hkjot.2016.10.001

Cited by 10 publications

(11 citation statements)

References 30 publications

(38 reference statements)

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“…Research has shown that the orofacial sensorimotor system is essential for sucking, swallowing, and speech production (Barlow, 1998;Barlow & Bradford, 1996;Barlow & Estep, 2006;Barlow, Lund, Estep, & Kolta, 2010;Barlow & Stumm, 2010;Sessle et al, 2007;Sessle et al, 2005;Smith, 2016). Thus, our DCM results support that the passive pneumotactile stimulation could effectively modulate sensory and motor system to impact motor rehabilitation positively, in agreement with other studies (Ahn, Lee, & Hwang, 2016a;Chen et al, 2018b;Dinse & Tegenthoff, 2015;Heba et al, 2017;Macaluso, Cherubini, & Sabatini, 2007). This is an important step for developing future early neurorehabilitation protocols.…”

Section: Cross-modality Plasticitysupporting

confidence: 91%

“…Passive motor and sensory stimulation of hands and feet elicited equal activation levels in the sensorimotor cortex as the active motor tasks (Blatow et al, 2011). High-frequency passive repetitive sensory stimulation, utilizing Hebbian learning principles, has been successfully used to treat chronic stroke patients and improved sensorimotor functions without the need for active participation (Ahn, Lee, & Hwang, 2016b;Chen et al, 2018a;Conforto, Cohen, Dos Santos, Scaff, & Marie, 2007;Powell, Pandyan, Granat, Cameron, & Stott, 1999;Smith, Dinse, Kalisch, Johnson, & Walker-Batson, 2009). If passive orofacial pneumotactile stimulation effectively elicits changes in M1 and positively impact motor function, patients unable to perform active movements right after brain injury (e.g., due to stroke, traumatic brain injury, etc.)…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic Causal Modeling of Neural Responses to an Orofacial Pneumotactile Velocity Array

Wang¹,

Custead²,

Oh³

et al. 2021

Preprint

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The effective connectivity of neuronal networks during orofacial pneumotactile stimulation with different velocities is still unknown. The present study aims to characterize the effectivity connectivity elicited by three different saltatory velocities (5, 25, and 65 cm/s) over the lower face using dynamic causal modeling on functional magnetic resonance imaging data of twenty neurotypical adults. Our results revealed the contralateral SI and SII as the most likely sources of the driving inputs within the sensorimotor network for the pneumotactile stimuli, suggesting parallel processing of the orofacial pneumotactile stimuli. The 25 cm/s pneumotactile stimuli modulated forward interhemispheric connection from the contralateral SII to the ipsilateral SII, suggesting a serial interhemispheric connection between the bilateral SII. Moreover, the velocity pneumotactile stimuli influenced the contralateral M1 through both contralateral SI and SII, indicating that passive pneumotactile stimulation may positively impact motor function rehabilitation. Furthermore, the slow velocity 5 cm/s pneumotactile stimuli modulated both forward and backward connections between the right cerebellar lobule VI and the contralateral left SI, SII, and M1, while the medium velocity 25 cm/s pneumotactile stimuli modulated both forward and backward connections between the right cerebellar lobule VI and the contralateral left SI and M1. Our findings suggest that the right cerebellar lobule VI plays a role in the sensorimotor network through feedforward and feedback neuronal pathways.

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Section: Cross-modality Plasticitysupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Dynamic Causal Modeling of Neural Responses to an Orofacial Pneumotactile Velocity Array

Wang¹,

Custead²,

Oh³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Our application might also be used to assess abnormal TPSs in patients with diverse pathologies that affect tactile perception, such as chronic hemiparetic stroke (Ahn et al, 2016) and neurodevelopmental disorders (Cascio, 2010). In the design of new therapies to enrich TPS (e.g., by the addition of tactile noise (Collins et al, 1996; Manjarrez et al, 2003; Mendez-Balbuena et al, 2012), changes in patients' TPSs could be measured periodically during rehabilitation treatment.…”

Section: Discussionmentioning

confidence: 99%

Visualizing Individual Perceptual Differences Using Intuitive Word-Based Input

Sakamoto

Watanabe

2019

Front. Psychol.

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Numerous studies have investigated the fundamental dimensions of human tactile perceptual space using a wide range of materials. Participants generally touch materials and quantitatively evaluate variations in tactile sensations for pairs of adjectives pertaining to the material properties, such as smooth—rough and soft—hard. Thus, observers evaluate their perceptual experiences one by one in terms of adjective pairs. We previously proposed an alternative method of qualitative evaluation of tactile sensations. Our system can automatically estimate ratings of fundamental tactile properties from single sound-symbolic words. We were able to construct a word-based perceptual space by collecting words that express tactile sensations and applying them to the system. However, to explore individual differences in perceptual spaces, different databases for converting words into ratings of adjective pairs are required for each individual. To address this, in the present study we created an application that can automatically generate an individualized perceptual space by moving only a few words in the initial word-based perceptual space. In addition, we evaluated the efficacy of the application by comparing the tactile perceptual space before and after use.

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“…Ahn et al focused on the problem of stroke induction in the brain. They have used the concept of tactile exploration (TE) using passive and active exploration.…”

Section: Ti Deployment In Smart Applicationsmentioning

confidence: 99%

Tactile internet and its applications in 5G era: A comprehensive review

Gupta

Tanwar

Tyagi

et al. 2019

Int J Communication

118

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Over the last few years, communication latency has been a major hurdle for most of the applications deployed in different network domains. During this era, a number of communication protocols and standards were developed and used by the community. However, still, the problem of latency persists keeping in view of the quality of service (QoS) and quality of experience (QoE) for different applications. To mitigate the aforementioned issues, in this paper, we present an in-depth survey of state-of-the art proposals having tactile internet as a backbone for delay mitigation using 5G networks for future ultra-reliable low-latency applications such as Healthcare 4.0, Industry 4.0, virtual reality and augmented reality, and smart education. From the existing proposals, it has been observed that tactile internet can provide interactions between virtual objects to give a feel of real environment with maximum latency of 1 millisecond. Also, this paper highlights the key differences between the tactile internet and Internet of Things in context with 5G revolution. Then open issues and challenges of tactile internet for smart applications are analyzed. Finally, a comparison of existing proposals with respect to various parameters is presented, which allows the end users to select one of the proposals in comparison with its merits over the others. KEYWORDSHealthcare 4.0, Industry 4.0, IoT, latency, reliability, tactile internet, 5G INTRODUCTIONMobile communication allows users to exchange data using smart devices ubiquitously using the mobile internet (MI). MI has millions of connected smart devices irrespective of their locations. It has revolutionized the different segments of industries such as health care, logistics, education, gaming, and transportation for maintaining quality of service (QoS) and quality of experience (QoE) for different applications. Moreover, it provides a device-to-device (D2D) communication, ie, ubiquitous communication for data sharing and communication between devices. This D2D communication coined the new term, the Internet of Things (IoT), 1 which provides the low power devices or equipments to perform specific tasks in the environment where they are deployed. IoT is being used in various smart city applications such as smart lightening, smart parking, waste management, traffic congestion, and forest fire detection. In D2D communication, the mobile devices can share prime or critical information in which a delay of even millisecond can harm the persons life (for example, the information sharing during robotic telesurgery). Existing cellular systems infrastructure is not suitable for such sensitive data sharing because of low data rates and long delay (greater than 20 ms). However, for D2D communications, Int J Commun Syst. 2019;32:e3981.wileyonlinelibrary.com/journal/dac

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Tactile Perception for Stroke Induce Changes in Electroencephalography

Cited by 10 publications

References 30 publications

Dynamic Causal Modeling of Neural Responses to an Orofacial Pneumotactile Velocity Array

Dynamic Causal Modeling of Neural Responses to an Orofacial Pneumotactile Velocity Array

Visualizing Individual Perceptual Differences Using Intuitive Word-Based Input

Tactile internet and its applications in 5G era: A comprehensive review

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