1,258 research outputs found

    Sensory supplementation system based on electrotactile tongue biofeedback of head position for balance control

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    The present study aimed at investigating the effects of an artificial head position-based tongue-placed electrotactile biofeedback on postural control during quiet standing under different somatosensory conditions from the support surface. Eight young healthy adults were asked to stand as immobile as possible with their eyes closed on two Firm and Foam support surface conditions executed in two conditions of No-biofeedback and Biofeedback. In the Foam condition, a 6-cm thick foam support surface was placed under the subjects' feet to alter the quality and/or quantity of somatosensory information at the plantar sole and the ankle. The underlying principle of the biofeedback consisted of providing supplementary information about the head orientation with respect to gravitational vertical through electrical stimulation of the tongue. Centre of foot pressure (CoP) displacements were recorded using a force platform. Larger CoP displacements were observed in the Foam than Firm conditions in the two conditions of No-biofeedback and Biofeedback. Interestingly, this destabilizing effect was less accentuated in the Biofeedback than No-biofeedback condition. In accordance with the sensory re-weighting hypothesis for balance control, the present findings evidence that the availability of the central nervous system to integrate an artificial head orientation information delivered through electrical stimulation of the tongue to limit the postural perturbation induced by alteration of somatosensory input from the support surface

    The effect of GVS on path trajectory and body rotation in the absence of visual cues during a spatial navigation task

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    Background: The vestibular system has been shown to contribute to mechanisms of locomotion such as distance perception. Galvanic vestibular stimulation (GVS) is a tool used to perturb the vestibular system, and causes significant deviations in path trajectory during locomotion. Previous research has suggested that applying GVS during straight-line locomotion tasks is not sufficient to determine the effects of the vestibular system on locomotion. However, spatial navigation challenges oneโ€™s ability to navigate throughout the environment using idiothetic cues to constantly update oneโ€™s position. The purpose of the current study was to determine the effects of GVS on both path trajectory and body rotation during a task of spatial navigation in the absence of visual cues, and how accuracy of this task is affected by dance training. It was hypothesized that the delivery of GVS would significantly increase errors during the triangle completion task, and this increase would be more pronounced in the control participants compared to the dancers. Methods: Participants (n=34, all female, 18-30 years) were divided into two groups: controls (n=18) had no experience with sport-specific training while dancers (n=16) had previously experienced dance training (M = 15.6 years, SD = ยฑ4.1) and were still currently training in dance (M = 11.5 hours/week, SD = ยฑ7.3). Monofilament testing (Touch-Test Six Piece Foot Kit) was used to determine the plantar surface cutaneous sensitivity threshold and a joint angle-matching task was used to quantify the proprioceptive awareness of each individual. Participants completed trials of the triangle completion task in VR (via Oculus Rift DK2), during which they would navigate along the first two legs of one of two triangles using visual input, and then accurately navigate back to their initial position with the use of vision. GVS was delivered at three times the participantโ€™s threshold in either the left or right direction prior to the final body rotation and until the participant reached their end position. The task was completed six times for each of the GVS conditions (with and without GVS) with the experimental GVS condition being further divided into right and left perturbation trials, for each of the two triangles, in both the right and left triangle directions, for a total of 48 trials (six trials x 2 GVS conditions x 2 triangles x 2 directions). Whole body kinematic data were collected at 60 Hz using an NDI Optotrak motion tracking system. Results: No significant differences were observed between control subjects and dancers with respect to arrival error, angular error, path variability, cutaneous sensitivity or proprioceptive awareness. However, there was a significant effect of GVS on both arrival error and angular error. Conditions without GVS had significantly smaller angular error than both conditions with GVS. In addition, GVS conditions with the perturbation in the same direction as the final body rotation had significantly greater arrival error than both the condition without GVS and with the current in the opposite direction of the final body rotation. There was no significant difference between GVS conditions in path variability during the return to the initial position. Conclusions: The significant effect of GVS on both arrival error and angular rotation demonstrates that vestibular perturbation reduced the accuracy of the triangle completion task. These findings suggest that the vestibular system plays a major role in both path trajectory and body rotation during tasks of spatial navigation in the absence of vision

    The Influence of Plantar Cutaneous Stimulation on a Functional Test of Gait in Parkinsonโ€™s Disease

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    Although possible deficits in proprioception have been implicated as a cause of gait impairments in individuals with Parkinsonโ€™s disease (PD), little research has been done to investigate improving this possible deficit as a method to influence mobility. The overall purpose of the current thesis was to investigate the influence of increased plantar stimulation on stability and gait impairments. This study also investigated the contribution of attention to locomotion in PD. The two studies comprising this thesis addressed the possible influence of the ribbed insoles in the initial response of PD participants as well as the long-term use of the insole. The first study focused on developing a task to assess the influence of the facilitatory insoles on gait for individuals with PD compared to healthy control participants. For the purpose of evaluating the facilitatory insoles in a functionally relevant task participants performed a modified โ€œTimed Up and Goโ€ task with an additional secondary motor task. The secondary task of carrying a tray with glasses demonstrated that attention plays a large role in the production and maintenance of gait as gait deficits became more pronounced. However, the facilitatory insoles also influenced gait parameters which demonstrated that the possible deficits in proprioception contribute to the gait impairments in PD. The initial response to the insoles, in the first study, did not improve gait parameters, which suggests that PD participants may need more time to adjust to the increased plantar stimulation. The second study investigated the influence of the facilitatory insoles when they are worn for a longer period of time. Participants wore either the facilitatory insoles or blank insoles while completing the PD Sensory Attention Focussed Exercise (PD SAFEx) rehabilitation program. Results demonstrated that when the facilitatory insoles are worn long-term, they can benefit the turning and straight-line walking in individuals with PD. PD participants became more confident in their ability to turn as they exerted less control over their centre of mass. Participants also displayed a decreased base of support and time spent in double limb support without negatively affecting lateral stability. These improvements suggest that the facilitatory insoles, when worn long-term, allow for a more normalized pattern of gait for individuals with PD. The TUG task used in this thesis proved to be a good measure to evaluate changes in stability and gait parameters in PD participants. Long-term use of the facilitatory insoles demonstrated improvements in stability and gait deficits during difficult aspects of gait such as turning. This suggests that the facilitatory insoles would be a simple and effective intervention to use, however further investigation should occur to ensure that the improvements will continue when facilitatory insoles are used on a daily basis. As well, investigation into the long-term use of other types of cutaneous stimulation such as vibratory insoles would be beneficial for the PD population

    Cortical Orchestra Conducted by Purpose and Function

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์ž์—ฐ๊ณผํ•™๋Œ€ํ•™ ํ˜‘๋™๊ณผ์ • ๋‡Œ๊ณผํ•™์ „๊ณต,2020. 2. ์ •์ฒœ๊ธฐ.์ด‰๊ฐ๊ณผ ์ž๊ธฐ์ˆ˜์šฉ๊ฐ๊ฐ์€ ์šฐ๋ฆฌ์˜ ์ƒ์กด ๋ฐ ์ผ์ƒ์ƒํ™œ์— ์ ˆ๋Œ€์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์ค‘์š”ํ•œ ๊ฐ๊ฐ ๊ธฐ๋Šฅ์ด๋‹ค. ๋ง์ดˆ์‹ ๊ฒฝ๊ณ„์—์„œ ์ด ๋‘ ๊ฐ€์ง€ ๊ธฐ๋Šฅ๋“ค์— ํ•„์š”ํ•œ ์ •๋ณด๋ฅผ ์ˆ˜์ง‘ํ•˜๊ณ  ์ „๋‹ฌํ•˜๋Š” ๊ธฐ๊ณ„์  ์ˆ˜์šฉ๊ธฐ ๋ฐ ๊ทธ ๊ตฌ์‹ฌ์„ฑ ์‹ ๊ฒฝ๋“ค์— ๋Œ€ํ•œ ์‹ ํ˜ธ ์ „๋‹ฌ ๋ฉ”์ปค๋‹ˆ์ฆ˜ ๋ฐ ๊ทธ ํŠน์ง•๋“ค์€ ์ƒ๋Œ€์ ์œผ๋กœ ์ž˜ ์•Œ๋ ค์ ธ ์žˆ๋Š” ํŽธ์ด๋‹ค. ๊ทธ๋Ÿฌ๋‚˜, ์ด‰๊ฐ๊ณผ ์ž๊ธฐ์ˆ˜์šฉ๊ฐ๊ฐ์„ ํ˜•์„ฑํ•˜๊ธฐ ์œ„ํ•œ ์ธ๊ฐ„ ๋‡Œ์˜ ํ”ผ์งˆ์—์„œ์˜ ์ •๋ณด ์ฒ˜๋ฆฌ ๋ฉ”์ปค๋‹ˆ์ฆ˜์— ๋Œ€ํ•˜์—ฌ ์šฐ๋ฆฌ๊ฐ€ ํ˜„์žฌ ์•Œ๊ณ  ์žˆ๋Š” ๋ฐ”๋Š” ๊ทนํžˆ ์ผ๋ถ€๋ถ„์ด๋‹ค. ์ด ๋…ผ๋ฌธ์—์„œ ์ œ์‹œํ•˜๋Š” ์ผ๋ จ์˜ ์—ฐ๊ตฌ๋“ค์€ ์ธ๊ฐ„ ๋‡Œ ํ”ผ์งˆ ๋‹จ๊ณ„์—์„œ ์ด‰๊ฐ๊ณผ ์ž๊ธฐ์ˆ˜์šฉ๊ฐ๊ฐ์˜ ์ง€๊ฐ์  ์ฒ˜๋ฆฌ๊ณผ์ •์— ๋Œ€ํ•œ ๊ฑฐ์‹œ์  ์‹ ๊ฒฝ๊ณ„ ์ •๋ณด์ฒ˜๋ฆฌ ๋ฉ”์ปค๋‹ˆ์ฆ˜์„ ๋‹ค๋ฃฌ๋‹ค. ์ฒซ ๋ฒˆ์งธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‡Œํ”ผ์งˆ๋‡ŒํŒŒ๋ฅผ ์ด์šฉํ•˜์—ฌ ์ธ๊ฐ„ ์ผ์ฐจ ๋ฐ ์ด์ฐจ ์ฒด์„ฑ๊ฐ๊ฐ ํ”ผ์งˆ์—์„œ ์ธ๊ณต์ ์ธ ์ž๊ทน๊ณผ ์ผ์ƒ์ƒํ™œ์—์„œ ์ ‘ํ•  ์ˆ˜ ์žˆ๋Š” ์ž๊ทน์„ ํฌํ•จํ•˜๋Š” ๋‹ค์–‘ํ•œ ์ง„๋™์ด‰๊ฐ๊ฐ ๋ฐ ์งˆ๊ฐ ์ž๊ทน์— ๋Œ€ํ•œ ๊ฑฐ์‹œ์  ์‹ ๊ฒฝ๊ณ„ ์ •๋ณด์ฒ˜๋ฆฌ ํŠน์„ฑ์„ ๋ฐํ˜”๋‹ค. ์ด ์—ฐ๊ตฌ์—์„œ๋Š” ์ผ์ฐจ ๋ฐ ์ด์ฐจ ์ฒด์„ฑ๊ฐ๊ฐ ํ”ผ์งˆ์˜ ์ด‰๊ฐ๊ฐ ์ฃผํŒŒ์ˆ˜ ํŠน์ด์ ์ธ ํ•˜์ด-๊ฐ๋งˆ ์˜์—ญ ์‹ ๊ฒฝํ™œ๋™์ด ์ž๊ทน ์ฃผํŒŒ์ˆ˜์— ๋”ฐ๋ผ ๊ฐ๊ฐ ์ƒ์ดํ•œ ์‹œ๊ฐ„์  ๋‹ค์ด๋‚˜๋ฏน์Šค๋ฅผ ๊ฐ€์ง€๊ณ  ๋ณ€ํ™”ํ•˜๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋˜ํ•œ, ์ด๋Ÿฌํ•œ ํ•˜์ด-๊ฐ๋งˆ ํ™œ๋™์€ ์„ฑ๊ธด ์งˆ๊ฐ๊ณผ ๋ฏธ์„ธํ•œ ์ž…์ž๊ฐ์„ ๊ฐ€์ง„ ์ž์—ฐ์Šค๋Ÿฌ์šด ์งˆ๊ฐ ์ž๊ทน์— ๋Œ€ํ•ด์„œ๋„ ์ง„๋™์ด‰๊ฐ๊ฐ์˜ ๊ฒฝ์šฐ์™€ ์œ ์‚ฌํ•œ ํŒจํ„ด์„ ๋ณด์˜€๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋“ค์€ ์ธ๊ฐ„์˜ ์ง„๋™์ด‰๊ฐ๊ฐ์ด ๋งค์šฐ ๋‹จ์ˆœํ•œ ํ˜•ํƒœ์— ์ž๊ทน์ผ์ง€๋ผ๋„ ๋Œ€๋‡Œ ์ฒด์„ฑ๊ฐ๊ฐ ์‹œ์Šคํ…œ์— ์žˆ์–ด ๊ฑฐ์‹œ์ ์ธ ๋‹ค์ค‘ ์˜์—ญ์—์„œ์˜ ๊ณ„์ธต์  ์ •๋ณด์ฒ˜๋ฆฌ๋ฅผ ๋™๋ฐ˜ํ•œ๋‹ค๋Š” ์ ์„ ์‹œ์‚ฌํ•œ๋‹ค. ๋‘ ๋ฒˆ์งธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ธ๊ฐ„์˜ ์›€์ง์ž„๊ณผ ๊ด€๋ จ๋œ ๋‘์ •์—ฝ ์˜์—ญ์—์„œ์˜ ํ•˜์ด-๊ฐ๋งˆ ๋‡Œํ™œ์„ฑ์ด ์ž๊ธฐ์ˆ˜์šฉ๊ฐ๊ฐ๊ณผ ๊ฐ™์€ ๋ง์ดˆ์‹ ๊ฒฝ๊ณ„๋กœ๋ถ€ํ„ฐ์˜ ์ฒด์„ฑ๊ฐ๊ฐ ํ”ผ๋“œ๋ฐฑ์„ ์ฃผ๋กœ ๋ฐ˜์˜ํ•˜๋Š”์ง€, ์•„๋‹ˆ๋ฉด ์›€์ง์ž„ ์ค€๋น„ ๋ฐ ์ œ์–ด๋ฅผ ์œ„ํ•œ ํ”ผ์งˆ ๊ฐ„ ์‹ ๊ฒฝ ํ”„๋กœ์„ธ์Šค์— ๋Œ€ํ•œ ํ™œ๋™์„ ๋ฐ˜์˜ํ•˜๋Š”์ง€๋ฅผ ์กฐ์‚ฌํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ, ์ž๋ฐœ์  ์šด๋™ ์ค‘ ๋Œ€๋‡Œ ์šด๋™๊ฐ๊ฐ๋ น์—์„œ์˜ ํ•˜์ด-๊ฐ๋งˆ ํ™œ๋™์€ ์ผ์ฐจ ์ฒด์„ฑ๊ฐ๊ฐํ”ผ์งˆ์ด ์ผ์ฐจ ์šด๋™ํ”ผ์งˆ๋ณด๋‹ค ๋” ์ง€๋ฐฐ์ ์ธ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋˜ํ•œ ์ด ์—ฐ๊ตฌ์—์„œ๋Š”, ์›€์ง์ž„๊ณผ ๊ด€๋ จ๋œ ์ผ์ฐจ ์ฒด์„ฑ๊ฐ๊ฐํ”ผ์งˆ์—์„œ์˜ ํ•˜์ด-๊ฐ๋งˆ ๋‡Œํ™œ๋™์€ ๋ง์ดˆ์‹ ๊ฒฝ๊ณ„๋กœ๋ถ€ํ„ฐ์˜ ์ž๊ธฐ์ˆ˜์šฉ๊ฐ๊ฐ๊ณผ ์ด‰๊ฐ์— ๋Œ€ํ•œ ์‹ ๊ฒฝ๊ณ„ ์ •๋ณด์ฒ˜๋ฆฌ๋ฅผ ์ฃผ๋กœ ๋ฐ˜์˜ํ•˜๋Š” ๊ฒƒ์„ ๋ฐํ˜”๋‹ค. ์ด๋Ÿฌํ•œ ์—ฐ๊ตฌ๋“ค์„ ๋ฐ”ํƒ•์œผ๋กœ, ๋งˆ์ง€๋ง‰ ์—ฐ๊ตฌ์—์„œ๋Š” ์ธ๊ฐ„ ๋Œ€๋‡Œ์—์„œ์˜ ์ฒด์„ฑ๊ฐ๊ฐ ์ง€๊ฐ ํ”„๋กœ์„ธ์Šค์— ๋Œ€ํ•œ ๊ฑฐ์‹œ์  ํ”ผ์งˆ ๊ฐ„ ๋„คํŠธ์›Œํฌ๋ฅผ ๊ทœ๋ช…ํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ์ด๋ฅผ ์œ„ํ•ด, 51๋ช…์˜ ๋‡Œ์ „์ฆ ํ™˜์ž์—๊ฒŒ์„œ ์ฒด์„ฑ๊ฐ๊ฐ์„ ์œ ๋ฐœํ–ˆ๋˜ ๋‡Œํ”ผ์งˆ์ „๊ธฐ์ž๊ทน ๋ฐ์ดํ„ฐ์™€ 46๋ช…์˜ ํ™˜์ž์—๊ฒŒ์„œ ์ด‰๊ฐ๊ฐ ์ž๊ทน ๋ฐ ์šด๋™ ์ˆ˜ํ–‰ ์ค‘์— ์ธก์ •ํ•œ ๋‡Œํ”ผ์งˆ๋‡ŒํŒŒ ํ•˜์ด-๊ฐ๋งˆ ๋งคํ•‘ ๋ฐ์ดํ„ฐ๋ฅผ ์ข…ํ•ฉ์ ์œผ๋กœ ๋ถ„์„ํ•˜์˜€๋‹ค. ๊ทธ ๊ฒฐ๊ณผ, ์ฒด์„ฑ๊ฐ๊ฐ ์ง€๊ฐ ํ”„๋กœ์„ธ์Šค๋Š” ๋Œ€๋‡Œ์—์„œ ๋„“์€ ์˜์—ญ์— ๊ฑธ์ณ ๋ถ„ํฌํ•˜๋Š” ์ฒด์„ฑ๊ฐ๊ฐ ๊ด€๋ จ ๋„คํŠธ์›Œํฌ์˜ ์‹ ๊ฒฝ ํ™œ์„ฑ์„ ์ˆ˜๋ฐ˜ํ•œ๋‹ค๋Š” ๊ฒƒ์„ ์•Œ์•„๋ƒˆ๋‹ค. ๋˜ํ•œ, ๋‡Œํ”ผ์งˆ์ „๊ธฐ์ž๊ทน์„ ํ†ตํ•œ ๋Œ€๋‡Œ ์ง€๋„์™€ ํ•˜์ด-๊ฐ๋งˆ ๋งคํ•‘์„ ํ†ตํ•œ ๋Œ€๋‡Œ ์ง€๋„๋Š” ์„œ๋กœ ์ƒ๋‹นํ•œ ์œ ์‚ฌ์„ฑ์„ ๋ณด์˜€๋‹ค. ํฅ๋ฏธ๋กญ๊ฒŒ๋„, ๋‡Œํ”ผ์งˆ์ „๊ธฐ์ž๊ทน๊ณผ ํ•˜์ด-๊ฐ๋งˆ ํ™œ๋™์„ ์ข…ํ•ฉํ•œ ๋‡Œ์ง€๋„๋“ค๋กœ๋ถ€ํ„ฐ ์ฒด์„ฑ๊ฐ๊ฐ ๊ด€๋ จ ๋‡Œ ์˜์—ญ์˜ ๊ณต๊ฐ„์  ๋ถ„ํฌ๊ฐ€ ์ฒด์„ฑ๊ฐ๊ฐ ๊ธฐ๋Šฅ์— ๋”ฐ๋ผ ์„œ๋กœ ๋‹ฌ๋ž๊ณ , ๊ทธ์— ํ•ด๋‹นํ•˜๋Š” ๊ฐ ์˜์—ญ๋“ค์€ ์„œ๋กœ ๋šœ๋ ทํ•˜๊ฒŒ ๋‹ค๋ฅธ ์‹œ๊ฐ„์  ๋‹ค์ด๋‚˜๋ฏน์Šค๋ฅผ ๊ฐ€์ง€๊ณ  ์ˆœ์ฐจ์ ์œผ๋กœ ํ™œ์„ฑํ™”๋˜์—ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋“ค์€ ์ฒด์„ฑ๊ฐ๊ฐ์— ๋Œ€ํ•œ ๊ฑฐ์‹œ์  ์‹ ๊ฒฝ๊ณ„ ํ”„๋กœ์„ธ์Šค๊ฐ€ ๊ทธ ์ง€๊ฐ์  ๊ธฐ๋Šฅ์— ๋”ฐ๋ผ ๋šœ๋ ท์ด ๋‹ค๋ฅธ ๊ณ„์ธต์  ๋„คํŠธ์›Œํฌ๋ฅผ ๊ฐ€์ง„๋‹ค๋Š” ์ ์„ ์‹œ์‚ฌํ•œ๋‹ค. ๋” ๋‚˜์•„๊ฐ€, ๋ณธ ์—ฐ๊ตฌ์—์„œ์˜ ๊ฒฐ๊ณผ๋“ค์€ ์ฒด์„ฑ๊ฐ๊ฐ ์‹œ์Šคํ…œ์˜ ์ง€๊ฐ-ํ–‰๋™ ๊ด€๋ จ ์‹ ๊ฒฝํ™œ๋™ ํ๋ฆ„์— ๊ด€ํ•œ ์ด๋ก ์ ์ธ ๊ฐ€์„ค์— ๋Œ€ํ•˜์—ฌ ์„ค๋“๋ ฅ ์žˆ๋Š” ์ฆ๊ฑฐ๋ฅผ ์ œ์‹œํ•˜๊ณ  ์žˆ๋‹ค.Tactile and proprioceptive perceptions are crucial for our daily life as well as survival. At the peripheral level, the transduction mechanisms and characteristics of mechanoreceptive afferents containing information required for these functions, have been well identified. However, our knowledge about the cortical processing mechanism for them in human is limited. The present series of studies addressed the macroscopic neural mechanism for perceptual processing of tactile and proprioceptive perception in human cortex. In the first study, I investigated the macroscopic neural characteristics for various vibrotactile and texture stimuli including artificial and naturalistic ones in human primary and secondary somatosensory cortices (S1 and S2, respectively) using electrocorticography (ECoG). I found robust tactile frequency-specific high-gamma (HG, 50โ€“140 Hz) activities in both S1 and S2 with different temporal dynamics depending on the stimulus frequency. Furthermore, similar HG patterns of S1 and S2 were found in naturalistic stimulus conditions such as coarse/fine textures. These results suggest that human vibrotactile sensation involves macroscopic multi-regional hierarchical processing in the somatosensory system, even during the simplified stimulation. In the second study, I tested whether the movement-related HG activities in parietal region mainly represent somatosensory feedback such as proprioception from periphery or primarily indicate cortico-cortical neural processing for movement preparation and control. I found that sensorimotor HG activities are more dominant in S1 than in M1 during voluntary movement. Furthermore, the results showed that movement-related HG activities in S1 mainly represent proprioceptive and tactile feedback from periphery. Given the results of previous two studies, the final study aimed to identify the large-scale cortical networks for perceptual processing in human. To do this, I combined direct cortical stimulation (DCS) data for eliciting somatosensation and ECoG HG band (50 to 150 Hz) mapping data during tactile stimulation and movement tasks, from 51 (for DCS mapping) and 46 patients (for HG mapping) with intractable epilepsy. The results showed that somatosensory perceptual processing involves neural activation of widespread somatosensory-related network in the cortex. In addition, the spatial distributions of DCS and HG functional maps showed considerable similarity in spatial distribution between high-gamma and DCS functional maps. Interestingly, the DCS-HG combined maps showed distinct spatial distributions depending on the somatosensory functions, and each area was sequentially activated with distinct temporal dynamics. These results suggest that macroscopic neural processing for somatosensation has distinct hierarchical networks depending on the perceptual functions. In addition, the results of the present study provide evidence for the perception and action related neural streams of somatosensory system. Throughout this series of studies, I suggest that macroscopic somatosensory network and structures of our brain are intrinsically organized by perceptual function and its purpose, not by somatosensory modality or submodality itself. Just as there is a purpose for human behavior, so is our brain.PART I. INTRODUCTION 1 CHAPTER 1: Somatosensory System 1 1.1. Mechanoreceptors in the Periphery 2 1.2. Somatosensory Afferent Pathways 4 1.3. Cortico-cortical Connections among Somatosensory-related Areas 7 1.4. Somatosensory-related Cortical Regions 8 CHAPTER 2: Electrocorticography 14 2.1. Intracranial Electroencephalography 14 2.2. High-Gamma Band Activity 18 CHAPTER 3: Purpose of This Study 24 PART II. EXPERIMENTAL STUDY 26 CHAPTER 4: Apparatus Design 26 4.1. Piezoelectric Vibrotactile Stimulator 26 4.2. Magnetic Vibrotactile Stimulator 29 4.3. Disc-type Texture Stimulator 33 4.4. Drum-type Texture Stimulator 36 CHAPTER 5: Vibrotactile and Texture Study 41 5.1. Introduction 42 5.2. Materials and Methods 46 5.2.1. Patients 46 5.2.2. Apparatus 47 5.2.3. Experimental Design 49 5.2.4. Data Acquisition and Preprocessing 50 5.2.5. Analysis 51 5.3. Results 54 5.3.1. Frequency-specific S1/S2 HG Activities 54 5.3.2. S1 HG Attenuation during Flutter and Vibration 62 5.3.3. Single-trial Vibration Frequency Classification 64 5.3.4. S1/S2 HG Activities during Texture Stimuli 65 5.4. Discussion 69 5.4.1. Comparison with Previous Findings 69 5.4.2. Tactile Frequency-dependent Neural Adaptation 70 5.4.3. Serial vs. Parallel Processing between S1 and S2 72 5.4.4. Conclusion of Chapter 5 73 CHAPTER 6: Somatosensory Feedback during Movement 74 6.1. Introduction 75 6.2. Materials and Methods 79 6.2.1. Subjects 79 6.2.2. Tasks 80 6.2.3. Data Acquisition and Preprocessing 82 6.2.4. S1-M1 HG Power Difference 85 6.2.5. Classification 86 6.2.6. Timing of S1 HG Activity 86 6.2.7. Correlation between HG and EMG signals 87 6.3. Results 89 6.3.1. HG Activities Are More Dominant in S1 than in M1 89 6.3.2. HG Activities in S1 Mainly Represent Somatosensory Feedback 94 6.4. Discussion 100 6.4.1. S1 HG Activity Mainly Represents Somatosensory Feedback 100 6.4.2. Further Discussion and Future Direction in BMI 102 6.4.3. Conclusion of Chapter 6 103 CHAPTER 7: Cortical Maps of Somatosensory Function 104 7.1. Introduction 106 7.2. Materials and Methods 110 7.2.1. Participants 110 7.2.2. Direct Cortical Stimulation 114 7.2.3. Classification of Verbal Feedbacks 115 7.2.4. Localization of Electrodes 115 7.2.5. Apparatus 116 7.2.6. Tasks 117 7.2.7. Data Recording and Processing 119 7.2.8. Mapping on the Brain 120 7.2.9. ROI-based Analysis 122 7.3. Results 123 7.3.1. DCS Mapping 123 7.3.2. Three and Four-dimensional HG Mapping 131 7.3.3. Neural Characteristics among Somatosensory-related Areas 144 7.4. Discussion 146 7.4.1. DCS on the Non-Primary Areas 146 7.4.2. Two Streams of Somatosensory System 148 7.4.3. Functional Role of ventral PM 151 7.4.4. Limitation and Perspective 152 7.4.5. Conclusion of Chapter 7 155 PART III. CONCLUSION 156 CHAPTER 8: Conclusion and Perspective 156 8.1. Perspective and Future Work 157 References 160 Abstract in Korean 173Docto

    The interaction between motion and texture in the sense of touch

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    Besides providing information on elementary properties of objects, like texture, roughness, and softness, the sense of touch is also important in building a representation of object movement and the movement of our hands. Neural and behavioral studies shed light on the mechanisms and limits of our sense of touch in the perception of texture and motion, and of its role in the control of movement of our hands. The interplay between the geometrical and mechanical properties of the touched objects, such as shape and texture, the movement of the hand exploring the object, and the motion felt by touch, will be discussed in this article. Interestingly, the interaction between motion and textures can generate perceptual illusions in touch. For example, the orientation and the spacing of the texture elements on a static surface induces the illusion of surface motion when we move our hand on it or can elicit the perception of a curved trajectory during sliding, straight hand movements. In this work we present a multiperspective view that encompasses both the perceptual and the motor aspects, as well as the response of peripheral and central nerve structures, to analyze and better understand the complex mechanisms underpinning the tactile representation of texture and motion. Such a better understanding of the spatiotemporal features of the tactile stimulus can reveal novel transdisciplinary applications in neuroscience and haptics

    Patterned Plantar Stimulation During Gait

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    It is well established that the soles of the feet are involved and aid in balance control. However, it is not well understood the exact role that the feet play in gait control. During walking, the center of pressure (CoP) takes a predictable and repeated path along the plantar surfaces, going from heel to toe. This CoP has been established to be vital for postural control during standing, the plantar surfaces may perform a similar role during walking by perceiving this CoP path. Most studies use vibro-tactile stimulation on the plantar surfaces during the entire gait cycle, including the swing phase. However, no studies have investigated the effects of different patterns of sequential stimulation on the plantar surfaces during the stance phase of gait. Therefore, the following chapters describe a method of testing this effect, and demonstrating how such patterned plantar stimulation alters gait in healthy young adults. This method of testing was developed such that plantar stimulation would activate specifically during the stance phase of the gait cycle, and activate in a gait-like or an abnormal sequence. We then hypothesized that stimulation in an abnormal sequence would result in gait and balance deficits when compared to stimulation that followed the natural sequence during walking. Additionally, that walking on an inclined surface would increase the effects of the tactile stimulation sequences on such measures when compared with no stimulation. We tested a total of nine healthy adults and found very minimal effects from the stimulation in any pattern. This demonstrates that healthy adults have the ability to adjust and reweigh sensory information from the plantar surfaces such that gait and balance outcomes show minimal or no deficits when foot-sole tactile sensory sequences are manipulated during slow walking. Additionally, that the perception of the CoP movement may be predominately supplied by slow adapting fibers that are not typically sensitive to vibrations. This work gives indication to the flexibility and adaptability of a healthy motor control system and demonstrates a method of testing such a system with an online stimulation control software

    Gamma Band Oscillation Response to Somatosensory Feedback Stimulation Schemes Constructed on Basis of Biphasic Neural Touch Representation

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    abstract: Prosthetic users abandon devices due to difficulties performing tasks without proper graded or interpretable feedback. The inability to adequately detect and correct error of the device leads to failure and frustration. In advanced prostheses, peripheral nerve stimulation can be used to deliver sensations, but standard schemes used in sensorized prosthetic systems induce percepts inconsistent with natural sensations, providing limited benefit. Recent uses of time varying stimulation strategies appear to produce more practical sensations, but without a clear path to pursue improvements. This dissertation examines the use of physiologically based stimulation strategies to elicit sensations that are more readily interpretable. A psychophysical experiment designed to investigate sensitivities to the discrimination of perturbation direction within precision grip suggests that perception is biomechanically referenced: increased sensitivities along the ulnar-radial axis align with potential anisotropic deformation of the finger pad, indicating somatosensation uses internal information rather than environmental. Contact-site and direction dependent deformation of the finger pad activates complimentary fast adapting and slow adapting mechanoreceptors, exhibiting parallel activity of the two associate temporal patterns: static and dynamic. The spectrum of temporal activity seen in somatosensory cortex can be explained by a combined representation of these distinct response dynamics, a phenomenon referred in this dissertation to โ€œbiphasic representation.โ€ In a reach-to-precision-grasp task, neurons in somatosensory cortex were found to possess biphasic firing patterns in their responses to texture, orientation, and movement. Sensitivities seem to align with variable deformation and mechanoreceptor activity: movement and smooth texture responses align with potential fast adapting activation, non-movement and coarse texture responses align with potential increased slow adapting activation, and responses to orientation are conceptually consistent with coding of tangential load. Using evidence of biphasic representationsโ€™ association with perceptual priorities, gamma band phase locking is used to compare responses to peripheral nerve stimulation patterns and mechanical stimulation. Vibrotactile and punctate mechanical stimuli are used to represent the practical and impractical percepts commonly observed in peripheral nerve stimulation feedback. Standard patterns of constant parameters closely mimic impractical vibrotactile stimulation while biphasic patterns better mimic punctate stimulation and provide a platform to investigate intragrip dynamics representing contextual activation.Dissertation/ThesisDoctoral Dissertation Biomedical Engineering 201

    Implicit and explicit body representations

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    Several forms of perception require that sensory information be referenced to representations of the size and shape of the body. This requirement is especially acute in somatosensation in which the main receptor surface (i.e., the skin) is itself coextensive with the body. In this paper I will review recent research investigating the body representations underlying somatosensory information processing, including abilities such as tactile localisation, tactile size perception, and position sense. These representations show remarkably large and stereotyped distortions of represented body size and shape. Intriguingly, these distortions appear to mirror distortions characteristic of somatosensory maps, though in attenuated form. In contrast, when asked to make overt judgments about perceived body form, participants are generally quite accurate. This pattern of results suggests that higher-level somatosensory processing relies on a class of implicit body representation, distinct from the conscious body image. I discuss the implications of these results for understanding the nature of body representation and the factors which influence it

    Motor illusions: What do they reveal about proprioception?

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