396 research outputs found

    Estimates of persistent inward current in human motor neurons during postural sway

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    Persistent inward current (PIC) is a membrane property critical for increasing gain of motor neuron output. In humans, most estimates of PIC are made from plantarflexor or dorsiflexor motor units with the participant in a seated position with the knee flexed. This seated and static posture neglects the task-dependent nature of the monoaminergic drive that modulates PIC activation. Seated estimates may drastically underestimate the amount of PIC that occurs in human motor neurons during functional movement. The current study estimated PIC using the conventional paired motor unit technique which uses the difference between reference unit firing frequency at test unit recruitment and reference unit firing frequency at test unit de-recruitment (โˆ†F) during triangular-shaped, isometric ramps in plantarflexion force as an estimate of PIC. Estimates of PIC were also made during standing anterior postural sway, a postural task that elicits a ramped increase and decrease in soleus motor unit activation similar to the conventional seated ramp contractions. For each motor unit pair, โˆ†F estimates of PIC made during conventional isometric ramps in the seated posture were compared to those made during standing postural sway. Baseline reciprocal inhibition (RI) was also measured in each posture using the post-stimulus time histogram (PSTH) technique. Hyperpolarizing input has been shown to have a reciprocal relationship with PIC in seated posture and RI was measured to examine if the same reciprocal relationship holds true during functional PIC estimation. It was hypothesized that an increase in โˆ†F would be seen during standing compared to sitting due to greater neuromodulatory input. We found that โˆ†F estimates during standing postural sway were equal (2.44 ยฑ 1.17, p=0.44) to those in seated PIC estimates (2.73ยฑ 1.20) using the same motor unit pair. Reciprocal inhibition was significantly lower when measured in a standing posture (0.0031 ยฑ 0.0251,

    Effect of cadence on locomotorโ€“respiratory coupling during upper-body exercise

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    Introduction: Asynchronous arm-cranking performed at high cadences elicits greater cardiorespiratory responses compared to low cadences. This has been attributed to increased postural demand and locomotorโ€“respiratory coupling (LRC), and yet, this has not been empirically tested. This study aimed to assess the effects of cadence on cardiorespiratory responses and LRC during upper-body exercise. Methods: Eight recreationally-active men performed arm-cranking exercise at moderate and severe intensities that were separated by 10 min of rest. At each intensity, participants exercised for 4 min at each of three cadences (50, 70, and 90 rev minโˆ’1) in a random order, with 4 min rest-periods applied in-between cadences. Exercise measures included LRC via whole- and half-integer ratios, cardiorespiratory function, perceptions of effort (RPE and dyspnoea), and diaphragm EMG using an oesophageal catheter. Results: The prevalence of LRC during moderate exercise was highest at 70 vs. 50 rev minโˆ’1 (27 ยฑ 10 vs. 13 ยฑ 9%, p = 0.000) and during severe exercise at 90 vs. 50 rev minโˆ’1 (24 ยฑ 7 vs. 18 ยฑ 5%, p = 0.034), with a shorter inspiratory time and higher mean inspiratory flow (p < 0.05) at higher cadences. During moderate exercise, (Formula presented.) and fC were higher at 90 rev minโˆ’1 (p < 0.05) relative to 70 and 50 rev minโˆ’1 ((Formula presented.) 1.19 ยฑ 0.25 vs. 1.05 ยฑ 0.21 vs. 0.97 ยฑ 0.24 L minโˆ’1; fC 116 ยฑ 11 vs. 101 ยฑ 13 vs. 101 ยฑ 12 b minโˆ’1), with concomitantly elevated dyspnoea. There were no discernible cadence-mediated effects on diaphragm EMG. Conclusion: Participants engage in LRC to a greater extent at moderate-high cadences which, in turn, increase respiratory airflow. Cadence rate should be carefully considered when designing aerobic training programmes involving the upper-limbs

    An International Urogynecological Association (IUGA)/International Continence Society (ICS) joint report on the terminology for the conservative and nonpharmacological management of female pelvic floor dysfunction

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    There has been an increasing need for the terminology on the conservative management of female pelvic floor dysfunction to be collated in a clinically based consensus report.This Report combines the input of members and elected nominees of the Standardization and Terminology Committees of two International Organizations, the International Urogynecological Association (IUGA) and the International Continence Society (ICS), assisted at intervals by many external referees. An extensive process of nine rounds of internal and external review was developed to exhaustively examine each definition, with decision-making by collective opinion (consensus). Before opening up for comments on the webpages of ICS and IUGA, five experts from physiotherapy, neurology, urology, urogynecology, and nursing were invited to comment on the paper.A Terminology Report on the conservative management of female pelvic floor dysfunction, encompassing over 200 separate definitions, has been developed. It is clinically based, with the most common symptoms, signs, assessments, diagnoses, and treatments defined. Clarity and ease of use have been key aims to make it interpretable by practitioners and trainees in all the different specialty groups involved in female pelvic floor dysfunction. Ongoing review is not only anticipated, but will be required to keep the document updated and as widely acceptable as possible.A consensus-based terminology report for the conservative management of female pelvic floor dysfunction has been produced, aimed at being a significant aid to clinical practice and a stimulus for research

    THE RELATIONSHIP BETWEEN MUSCULOSKELETAL STRENGTH, PHYSIOLOGICAL CHARACTERISTICS, AND KNEE KINESTHESIA FOLLOWING FATIGUING EXERCISE

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    Fatiguing exercise may result in impaired functional joint stability and increased risk of unintentional injury. While there are several musculoskeletal and physiological characteristics related to fatigue onset, their relationship with proprioceptive changes following fatigue has not been examined. The purpose of this study was to establish the relationship between musculoskeletal and physiological characteristics and changes in proprioception, measured by threshold to detect passive motion (TTDPM), following fatiguing exercise. Twenty, physically active females participated (age: 28.65 ยฑ 5.6 years, height: 165.6 ยฑ 4.3 cm, weight: 61.8 ยฑ 8.0 kg, BMI: 22.5ยฑ 2.3 kg/m2, BF: 23.3 ยฑ 5.4%). During Visit 1, subjects completed an exercise history and 24-hour dietary questionnaire, and body composition, TTDPM familiarization, isokinetic knee strength, and maximal oxygen uptake/lactate threshold assessments. During Visit 2, subjects completed TTDPM and isometric knee strength testing prior to and following a fatiguing exercise protocol. Wilcoxon signed rank tests determined TTDPM and isometric knee strength changes from pre- to post- fatigue. Spearmanโ€™s rho correlation coefficients determined the relationship between strength and physiological variables with pre- to post-fatigue changes in TTDPM and with pre-fatigue and post-fatigue TTDPM in extension and flexion (ฮฑ=0.05). No significant differences were demonstrated from pre-fatigue to post-fatigue TTDPM despite a significant decrease in isometric knee flexion strength (P<0.01) and flexion/extension ratio (P<0.05) following fatigue. No significant correlations were observed between strength or physiological variables and changes in TTDPM from pre- to post-fatigue in extension or flexion. Flexion/extension ratio was significantly correlated with pre-fatigue TTDPM in extension (r=-0.231, P<0.05). Peak oxygen uptake was significantly correlated with pre-fatigue (r=-0.500, P<0.01) and post-fatigue (r=-0.520, P<0.05) TTDPM in extension. No significant relationships were demonstrated between musculoskeletal and physiological characteristics and changes in TTDPM following fatigue. The results suggest that highly trained individuals may have better proprioception, and that the high fitness level of subjects in this investigation may have contributed to absence of TTDPM deficits following fatigue despite reaching a high level of perceptual and physiological fatigue. Future studies should consider various subject populations, other musculoskeletal strength characteristics, and different modalities of proprioception to determine the most important contributions to proprioceptive changes following fatigue

    A neurophysiological examination of voluntary isometric contractions: modulations in sensorimotor oscillatory dynamics with contraction force and physical fatigue, and peripheral contributions to maximal force production

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    Human motor control is a complex process involving both central and peripheral components of the nervous system. Type Ia afferent input contributes to both motor unit recruitment and firing frequency, however, whether maximal force production is dependent on this input is unclear. Therefore, chapter 2 examined maximal and explosive force production of the knee extensors following prolonged infrapatellar tendon vibration; designed to attenuate the efficacy of the homonymous Ia afferent-ฮฑ-motoneuron pathway. Despite a marked decrease in H-reflex amplitude, indicating an attenuated efficacy of the Ia afferent-ฮฑ-motoneuron pathway, both maximal and explosive force production were unaffected after vibration. This suggested that maximal and explosive isometric quadriceps force production was not dependent upon Ia afferent input to the homonymous motor unit pool. Voluntary movements are linked with various modulations in ongoing neural oscillations within the supraspinal sensorimotor system. Despite considerable interest in the oscillatory responses to movements per se, the influence of the motor parameters that define these movements is poorly understood. Subsequently, chapters 3 and 4 investigated how the motor parameters of voluntary contractions modulated the oscillatory amplitude. Chapter 3 recorded electroencephalography from the leg area of the primary sensorimotor cortex in order to investigate the oscillatory responses to isometric unilateral contractions of the knee-extensors at four torque levels (15, 30, 45 and 60% max.). An increase in movement-related gamma (30-50 Hz) activity was observed with increments in knee-extension torque, whereas oscillatory power within the delta (0.5-3 Hz), theta (3-7 Hz), alpha (7-13 Hz) and beta (13-30 Hz) bands were unaffected. Chapter 4 examined the link between the motor parameters of voluntary contraction and modulations in beta (15-30 Hz) oscillations; specifically, movement-related beta decrease (MRBD) and post-movement beta rebound (PMBR). Magnetoencephalography (MEG) was recorded during isometric ramp and constant-force wrist-flexor contractions at distinct rates of force development (10.4, 28.9 and 86.7% max./s) and force output (5, 15, 35 and 60%max.), respectively. MRBD was unaffected by RFD or force output, whereas systematic modulation of PMBR by both contraction force and RFD was identified for the first time. Specifically, increments in isometric contraction force increased PMBR amplitude, and increments in RFD increased PMBR amplitude but decreased PMBR duration. Physical fatigue arises not only from peripheral processes within the active skeletal muscles but also from supraspinal mechanisms within the brain. However, exactly how cortical activity is modulated during fatigue has received a paucity of attention. Chapter 5 investigated whether oscillatory activity within the primary sensorimotor cortex was modulated when contractions were performed in a state of physical fatigue. MEG was recorded during submaximal isometric contractions of the wrist-flexors performed both before and after a fatiguing series of isometric wrist-flexions or a time matched control intervention. Physical fatigue offset the attenuation in MRBD observed during the control trial, whereas PMBR was increased when submaximal contractions were performed in a fatigued state

    Mechanomyographic Parameter Extraction Methods: An Appraisal for Clinical Applications

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    The research conducted in the last three decades has collectively demonstrated that the skeletal muscle performance can be alternatively assessed by mechanomyographic signal (MMG) parameters. Indices of muscle performance, not limited to force, power, work, endurance and the related physiological processes underlying muscle activities during contraction have been evaluated in the light of the signal features. As a non-stationary signal that reflects several distinctive patterns of muscle actions, the illustrations obtained from the literature support the reliability of MMG in the analysis of muscles under voluntary and stimulus evoked contractions. An appraisal of the standard practice including the measurement theories of the methods used to extract parameters of the signal is vital to the application of the signal during experimental and clinical practices, especially in areas where electromyograms are contraindicated or have limited application. As we highlight the underpinning technical guidelines and domains where each method is well-suited, the limitations of the methods are also presented to position the state of the art in MMG parameters extraction, thus providing the theoretical framework for improvement on the current practices to widen the opportunity for new insights and discoveries. Since the signal modality has not been widely deployed due partly to the limited information extractable from the signals when compared with other classical techniques used to assess muscle performance, this survey is particularly relevant to the projected future of MMG applications in the realm of musculoskeletal assessments and in the real time detection of muscle activity

    In-vivo function of human plantar intrinsic foot muscles

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    ๋‹ค์ค‘์†๊ฐ€๋ฝ ๊ณผ์ œ ์ˆ˜ํ–‰ ์‹œ ์ธ๊ฐ„์˜ ๊ฐ๊ฐ ๋ฐ ์ธ์ง€ ์ฒ˜๋ฆฌ ๊ณผ์ •์˜ ์ •๋Ÿ‰ํ™”

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์‚ฌ๋ฒ”๋Œ€ํ•™ ์ฒด์œก๊ต์œก๊ณผ, 2021. 2. ๋ฐ•์žฌ๋ฒ”.The continuously varied states of human body and surrounding environment require instantaneous motor adaptations and the understanding of motor goal to achieve desired actions. These sensory and cognitive processes have been investigated as elements in motor control during last five decades. Specially, the task dependency on sensory and cognitive processes suggest the effects of movement properties in terms of environment situation and motor goal. However, these effects were mostly empirically summarized with the measurements of either neural activity or simple motor accomplishment unilaterally. The current thesis addresses the quantification of sensory and cognitive processes based on simultaneous measurements of brain activity and synergic motor performance during multi-digit actions with different movement properties. Multi-digit action as a representation of synergic movements has developed into a widespread agency to quantify the efficacy of motor control, as the reason applied in this thesis. In this thesis, multi-digit rotation and pressing tasks were performed with different movement directions, frequencies, feedback modalities, or task complexities. (Chapter 3) The changes of movement direction induced a decrease in motor synergy but regardless of which direction. (Chapter 4 and 5) Increased frequency of rhythmic movement reduced synergic motor performance associate with decreased sensory process and less efficient cognitive process. (Chapter 6) More comprehensive feedback modality improved synergic performance with increased sensory process. (Chapter 7) Increased movement complexity had a consistent but stronger effect as increased frequency on synergic performance and efficiency of cognitive process. These observations suggest that several movement properties affect the contributions of sensory and cognitive processes to motor control which can be quantified through either neural activity or synergic motor performance. Accordingly, those movement properties may be applied in the rehabilitation of motor dysfunction by developing new training programs or assistant devices. Additionally, it may be possible to develop a simplified while efficient method to estimate the contribution of sensory or cognitive process to motor control.์‹œ์‹œ๊ฐ๊ฐ์œผ๋กœ ๋ณ€ํ™”ํ•˜๋Š” ์‹ ์ฒด ์ƒํƒœ์™€ ์ฃผ๋ณ€ ํ™˜๊ฒฝ์˜ ์ƒํ˜ธ์ž‘์šฉ ์†์—์„œ ์•Œ๋งž์€ ์›€์ง์ž„์„ ์ˆ˜ํ–‰ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ๊ทธ์— ๋”ฐ๋ฅธ ์ฆ‰๊ฐ์ ์ธ ์šด๋™ ์ ์‘(motor adaptation) ๊ณผ์ •์™€ ๊ณผ์ œ ๋ชฉํ‘œ์— ๋Œ€ํ•œ ์ดํ•ด๊ฐ€ ํ•„์š”ํ•˜๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ์ธ๊ฐ„์˜ ๊ฐ๊ฐ ๋ฐ ์ธ์ง€ ์ฒ˜๋ฆฌ๊ณผ์ •์€ ์šด๋™ ์ œ์–ด ๋ถ„์•ผ์˜ ์ค‘์š”ํ•œ ์š”์†Œ๋กœ ์—ฌ๊ฒจ์กŒ๋‹ค. ์„ ํ–‰์—ฐ๊ตฌ์— ๋”ฐ๋ฅด๋ฉด, ์šด๋™ ๊ณผ์ œ์— ๋”ฐ๋ผ ๋ณ€ํ™”ํ•˜๋Š” ๊ฐ๊ฐ ๋ฐ ์ธ์ง€ ์ฒ˜๋ฆฌ๊ณผ์ •์€ ์ฃผ๋ณ€ ํ™˜๊ฒฝ๊ณผ ๊ณผ์ œ์˜ ๋ชฉํ‘œ์— ๋”ฐ๋ผ ์›€์ง์ž„์˜ ํŠน์„ฑ์— ์˜ํ–ฅ์„ ๋ฏธ์นœ๋‹ค๊ณ  ๋ณด๊ณ ๋˜์–ด์™”๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ด๋Ÿฌํ•œ ์˜ํ–ฅ์€ ๋Œ€๋ถ€๋ถ„ ๋‹จ์ˆœํ•œ ์šด๋™๊ณผ์ œ ์ˆ˜ํ–‰ ๊ฒฐ๊ณผ ๋˜๋Š” ์ธก์ •๋œ ์‹ ๊ฒฝ ํ™œ๋™์— ์˜ํ•ด ๊ฒฝํ—˜์ ์œผ๋กœ ์š”์•ฝ๋œ ๊ฒฐ๊ณผ์— ๊ตญํ•œ๋˜์–ด ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ๋…ผ๋ฌธ์€ ๋‹ค์–‘ํ•œ ์›€์ง์ž„ ํŠน์„ฑ์„ ๊ฐ€์ง„ ๋‹ค์ค‘ ์†๊ฐ€๋ฝ ๊ณผ์ œ ์ˆ˜ํ–‰ ์‹œ, ๋‡Œ ํ™œ๋™ (Brain activity)๊ณผ ๋”๋ถˆ์–ด ์†๊ฐ€๋ฝ๋“ค ๊ฐ„์˜ ํ˜‘์‘์ ์ธ ์›€์ง์ž„์˜ ์ˆ˜ํ–‰ ๊ฒฐ๊ณผ๋ฅผ ๋™์‹œ ์ธก์ •ํ•˜์—ฌ ๊ณผ์ œ์˜ ํŠน์„ฑ์— ๋”ฐ๋ฅธ ๊ฐ๊ฐ ๋ฐ ์ธ์ง€ ์ฒ˜๋ฆฌ๊ณผ์ •์˜ ๋ณ€ํ™”๋ฅผ ๋ถ„์„ํ–ˆ๋‹ค. ๋‹ค์ค‘ ์†๊ฐ€๋ฝ ๊ณผ์ œ๋Š” ์šด๋™ ์ œ์–ด์˜ ์„ฑ๋Šฅ ํšจ์œจ์„ฑ์„ ์ •๋Ÿ‰ํ™”ํ•˜๊ธฐ ์œ„ํ•ด ์‚ฌ์šฉ๋˜๋Š” ๋Œ€ํ‘œ์ ์ธ ๊ณผ์ œ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๋‹ค์–‘ํ•œ ์กฐ๊ฑด์˜ ์›€์ง์ž„ ๋ฐฉํ–ฅ, ์›€์ง์ž„์˜ ์ฃผ๊ธฐ๋นˆ๋„, ๊ฐ๊ฐ ํ”ผ๋“œ๋ฐฑ ์–‘์‹ ๋˜๋Š” ๊ณผ์ œ ๋‚œ์ด๋„์— ๋”ฐ๋ฅธ ๋‹ค์ค‘ ์†๊ฐ€๋ฝ ํšŒ์ „ ๋™์ž‘ ๋ฐ ํž˜ ์ƒ์„ฑ ๊ณผ์ œ๋ฅผ ์‚ฌ์šฉํ–ˆ๋‹ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋กœ๋Š”, (๋ฌธ๋‹จ 3) ์›€์ง์ž„ ๋ฐฉํ–ฅ์ด ๋ณ€ํ™”ํ•˜๊ธฐ ์ „์— ๋ณ€ํ™”ํ•  ๋ฐฉํ–ฅ์— ์ƒ๊ด€์—†์ด ํ˜‘์‘์ ์ธ ์›€์ง์ž„์ด ์•…ํ™”๋˜์—ˆ๋‹ค. (๋ฌธ๋‹จ 4์™€ 5) ์›€์ง์ž„์˜ ์ฃผ๊ธฐ๋นˆ๋„๊ฐ€ ์ฆ๊ฐ€ํ• ์ˆ˜๋ก ํ˜‘์‘์ ์ธ ์›€์ง์ž„์ด ์•…ํ™”๋์œผ๋ฉฐ, ์ด์™€ ๊ด€๋ จ๋œ ๊ฐ๊ฐ ๋ฐ ์ธ์ง€ ์ฒ˜๋ฆฌ๊ณผ์ •์˜ ํšจ์œจ์„ฑ๋„ ๊ฐ์†Œ๋˜์—ˆ๋‹ค. (๋ฌธ๋‹จ 6) ๋‹จ์ผ ๊ฐ๊ฐ ํ”ผ๋“œ๋ฐฑ ์ œ๊ณต์กฐ๊ฑด์— ๋น„ํ•ด ์ข…ํ•ฉ์ ์ธ ๊ฐ๊ฐ ํ”ผ๋“œ๋ฐฑ์€ ์ฆ๊ฐ€๋œ ๊ฐ๊ฐ ์ฒ˜๋ฆฌ๊ณผ์ •๊ณผ ํ•จ๊ป˜ ํ˜‘์‘์ ์ธ ์›€์ง์ž„์„ ํ–ฅ์ƒ์‹œ์ผฐ๋‹ค. (๋ฌธ๋‹จ 7) ๊ณผ์ œ์˜ ๋‚œ์ด๋„๊ฐ€ ์ฆ๊ฐ€ํ• ์ˆ˜๋ก ํ˜‘์‘์ ์ธ ์›€์ง์ž„๊ณผ ์ธ์ง€ ์ฒ˜๋ฆฌ๊ณผ์ •์˜ ํšจ์œจ์„ฑ์€ ๊ฐ์†Œ๋˜์—ˆ์œผ๋ฉฐ, ์›€์ง์ž„์˜ ์ฃผ๊ธฐ๋นˆ๋„ ์กฐ๊ฑด์— ๋น„ํ•ด ๊ณผ์ œ์˜ ๋‚œ์ด๋„์— ๋”ฐ๋ผ ํ˜‘์‘์ ์ธ ์›€์ง์ž„๊ณผ ์ธ์ง€ ์ฒ˜๋ฆฌ๊ณผ์ •์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์€ ์ƒ๋Œ€์ ์œผ๋กœ ๋” ํฌ๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋Š” ์›€์ง์ž„ ํŠน์„ฑ์— ๋”ฐ๋ฅธ ๋‡Œ ํ™œ๋™๊ณผ ํ˜‘์‘์ ์ธ ๊ณผ์ œ ์ˆ˜ํ•ด ๊ฒฐ๊ณผ๋ฅผ ํ†ตํ•ด ์šด๋™ ์ œ์–ด ๊ณผ์ •์—์„œ ๊ฐ๊ฐ ๋ฐ ์ธ์ง€ ์ฒ˜๋ฆฌ๊ณผ์ •์˜ ๊ธฐ์—ฌ์ •๋„๋ฅผ ์ •๋Ÿ‰ํ™”ํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ์ ์„ ์‹œ์‚ฌํ•œ๋‹ค. ๋”ฐ๋ผ์„œ ์›€์ง์ž„ ํŠน์„ฑ์— ๋”ฐ๋ฅธ ๊ฐ๊ฐ ๋ฐ ์ธ์ง€ ์ฒ˜๋ฆฌ ๊ณผ์ •์˜ ๊ธฐ์—ฌ์ •๋„์˜ ๋ณ€ํ™”๋Š” ์šด๋™ ๊ธฐ๋Šฅ ์žฅ์• ๋ฅผ ๊ฐ€์ง„ ์‚ฌ๋žŒ๋“ค์˜ ์ƒˆ๋กœ์šด ์žฌํ™œ ํ›ˆ๋ จ ํ”„๋กœ๊ทธ๋žจ ๋ฐ ์›€์ง์ž„ ๋ณด์กฐ ์žฅ์น˜๋ฅผ ๊ฐœ๋ฐœํ•˜๊ธฐ ์œ„ํ•œ ์‹คํ—˜์ ์ธ ๊ทผ๊ฑฐ๋กœ ์ ์šฉ๋  ์ˆ˜ ์žˆ๋‹ค. ๋˜ํ•œ ๊ฐ๊ฐ ๋˜๋Š” ์ธ์ง€ ๊ณผ์ •์ด ์šด๋™ ์ œ์–ด์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์ถ”์ •ํ•˜๊ธฐ ์œ„ํ•œ ํšจ์œจ์ ์ธ ๋ฐฉ๋ฒ•์„ ๊ฐœ๋ฐœํ•˜๋Š”๋ฐ ๋„์›€์ด ๋  ๊ฒƒ์ด๋‹ค.Chapter 1. Introduction 1 1.1 Problem statement 1 1.2 Study objective 2 1.3 Organization of dissertation 3 Chapter 2. Background 6 2.1 Motor system 6 2.1.1 Ascending pathway 6 2.1.2 Descending pathway 8 2.1.3 Brain networks 9 2.2 Motor synergy 11 2.2.1 Synergy in performance 12 2.2.2 Synergy in muscles 13 2.2.3 Synergy in neurons 14 2.3 Motor control 15 2.1.1 Sensory process 16 2.1.2 Cognitive process 19 Chapter 3. Effect of movement direction: Multi-Finger Interaction and Synergies in Finger Flexion and Extension Force Production 23 3.1 Abstract 23 3.2 Introduction 24 3.3 Method 28 3.4 Results 35 3.4.1 Maximal voluntary contraction (MVC) force and finger independency 36 3.4.2 Timing indices 37 3.4.3 Multi-finger synergy indices in mode space 39 3.4.4 Multi-finger synergy indices in force space 43 3.5 Discussion 44 3.5.1 Finger independency during finger flexion and extension 44 3.5.2 Multi-finger synergies in force and mode spaces 46 3.5.3 Anticipatory synergy adjustment 48 Chapter 4. Effect of Frequency: Brain Oxygenation Magnitude and Mechanical Outcomes during Multi-Digit Rhythmic Rotation Task 51 4.1 Abstract 51 4.2 Introduction 51 4.3 Methods 55 4.4 Results 61 4.4.1 PET imaging 61 4.4.2 Finger forces 62 4.4.3 UCM analysis 64 4.4.4 Correlation between neural activation and mechanics 65 4.5 Discussion 66 4.5.1 Regions involved in feedback 67 4.5.2 Regions involved in feedforward 69 4.5.3 Corporation of feedforward and feedback 71 4.6 Conclusions 72 Chapter 5. Effect of frequency: Prefrontal Cortex Oxygenation during Multi-Digit Rhythmic Pressing Actions using fNIRS 74 5.1 Abstract 74 5.2 Introduction 74 5.3 Method 77 5.4 Results 84 5.4.1 Performance 84 5.4.2 Multi-digit coordination indices 84 5.4.3 Functional connectivity (FC) 87 5.5 Discussion 88 5.6 Conclusion 91 Chapter 6. Effect of Sensory Modality: Multi-Sensory Integration during Multi-Digit Rotation Task with Different Frequency 92 6.1 Abstract 92 6.2 Introduction 92 6.3 Method 94 6.4 Results 100 6.4.1 Performance 100 6.4.2 Multi-digit coordination indices 101 6.5 Discussion 101 6.6 Conclusion 103 Chapter 7. Effect of Task Complexity: Prefrontal Cortex Oxygenation during Multi-Digit Pressing Actions with Different Frequency Components 104 7.1 Abstract 104 7.2 Introduction 104 7.3 Method 106 7.4 Results 112 7.4.1 Performance 112 7.4.2 Multi-finger coordination indices 113 7.4.3 Functional connectivity (FC) 114 7.5 Discussion 115 7.5.1 Relation between Frequency and task complexity 115 7.5.2 Cognitive process in motor control 116 7.5.3 Relation between motor coordination and cognitive process 118 7.6 Conclusion 119 Chapter 8. Conclusions and Future Work 120 8.1 Summary of conclusions 120 8.2 Future work 121 Bibliography 122 Abstract in Korean 160Docto
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