5 research outputs found

    Corticospinal Tract (CST) reconstruction based on fiber orientation distributions(FODs) tractography

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    The Corticospinal Tract (CST) is a part of pyramidal tract (PT), and it can innervate the voluntary movement of skeletal muscle through spinal interneurons (the 4th layer of the Rexed gray board layers), and anterior horn motorneurons (which control trunk and proximal limb muscles). Spinal cord injury (SCI) is a highly disabling disease often caused by traffic accidents. The recovery of CST and the functional reconstruction of spinal anterior horn motor neurons play an essential role in the treatment of SCI. However, the localization and reconstruction of CST are still challenging issues; the accuracy of the geometric reconstruction can directly affect the results of the surgery. The main contribution of this paper is the reconstruction of the CST based on the fiber orientation distributions (FODs) tractography. Differing from tensor-based tractography in which the primary direction is a determined orientation, the direction of FODs tractography is determined by the probability. The spherical harmonics (SPHARM) can be used to approximate the efficiency of FODs tractography. We manually delineate the three ROIs (the posterior limb of the internal capsule, the cerebral peduncle, and the anterior pontine area) by the ITK-SNAP software, and use the pipeline software to reconstruct both the left and right sides of the CST fibers. Our results demonstrate that FOD-based tractography can show more and correct anatomical CST fiber bundles

    Meyer's loop tractography for image-guided surgery depends on imaging protocol and hardware

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    Introduction Surgical resection is an effective treatment for temporal lobe epilepsy but can result in visual field defects. This could be minimized if surgeons knew the exact location of the anterior part of the optic radiation (OR), the Meyer's loop. To this end, there is increasing prevalence of image-guided surgery using diffusion MRI tractography. Despite considerable effort in developing analysis methods, a wide discrepancy in Meyer's loop reconstructions is observed in the literature. Moreover, the impact of differences in image acquisition on Meyer's loop tractography remains unclear. Here, while employing the same state-of-the-art analysis protocol, we explored the extent to which variance in data acquisition leads to variance in OR reconstruction. Methods Diffusion MRI data were acquired for the same thirteen healthy subjects using standard and state-of-the-art protocols on three scanners with different maximum gradient amplitudes (MGA): Siemens Connectom (MGA = 300 mT/m); Siemens Prisma (MGA = 80 mT/m) and GE Excite-HD (MGA = 40 mT/m). Meyer's loop was reconstructed on all subjects and its distance to the temporal pole (ML-TP) was compared across protocols. Results A significant effect of data acquisition on the ML-TP distance was observed between protocols (p < .01 to 0.0001). The biggest inter-acquisition discrepancy for the same subject across different protocols was 16.5 mm (mean: 9.4 mm, range: 3.7โ€“16.5 mm). Conclusion We showed that variance in data acquisition leads to substantive variance in OR tractography. This has direct implications for neurosurgical planning, where part of the OR is at risk due to an under-estimation of its location using conventional acquisition protocols

    MR in vivo tractography for the reconstruction of cranial nerves course

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    Aim The aim of my Ph.D. was to implement a diffusion tensor tractography (DTT) pipeline to reconstruct cranial nerve I (olfactory) to study COVID-19 patients, and anterior optic pathway (AOP, including optic nerve, chiasm, and optic tract) to study patients with sellar/parasellar tumors, and with Leberโ€™s Hereditary Optic Neuropathy (LHON). Methods We recruited 23 patients with olfactory dysfunction after COVID-19 infection (mean age 37ยฑ14 years, 12 females); 27 patients with sellar/parasellar tumors displacing the optic chiasm eligible for endonasal endoscopic surgery (mean age 53. ยฑ16.4 years, 13 female) and 6 LHON patients (mutation 11778/MT-ND4, mean age 24.9ยฑ15.7 years). Sex- and age-matched healthy control were also recruited. In LHON patients, optical coherence tomography (OCT) was performed. Acquisitions were performed on a clinical high field 3-T MRI scanner, using a multi-shell HARDI (High Angular Resolution Diffusion Imaging) sequence (b-values 0-300-1000-2000 s/mm2, 64 maximum gradient directions, 2mm3 isotropic voxel). DTT was performed with a multi-tissue spherical deconvolution approach and mean diffusivity (MD) DTT metrics were compared with healthy controls using an unpaired t-test. Correlations of DTT metrics with clinical data were sought by regression analysis. Results In all 23 hypo/anosmic patients with previous COVID-19 infection the CN I was successfully reconstructed with no DTT metrics alterations, thus suggesting the pathogenetic role of central olfactory cortical system dysfunction. In all 27 patients with sellar/parasellar tumors the AOP was reconstructed, and in 11/13 (84.7%) undergoing endonasal endoscopic surgery the anatomical fidelity of the reconstruction was confirmed; a significant decrease in MD within the chiasma (p<0.0001) was also found. In LHON patients a reduction of MD in the AOP was significantly associated with OCT parameters (p=0.036). Conclusions Multi-shell HARDI diffusion-weighted MRI followed by multi-tissue spherical deconvolution for the DTT reconstruction of the CN I and AOP has been implemented, and its utility demonstrated in clinical practice

    ์‚ฌ๋žŒ์—์„œ ์ ๋ฉธ๊ด‘์ž๊ทน์„ ์ด์šฉํ•œ ์„ฑ๊ณต์ ์ธ ๊ฐ๋งˆ๋‡ŒํŒŒ๋™์กฐ ์œ ๋„์˜ ๊ฒฐ์ • ์š”์ธ

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ์ž์—ฐ๊ณผํ•™๋Œ€ํ•™ ๋‡Œ์ธ์ง€๊ณผํ•™๊ณผ, 2023. 2. ๊น€๊ธฐ์›….Background and Objectives: Although gamma entrainment using flickering light stimulus (FLS) of 40Hz was effective in reducing pathologies and enhancing cognitive function in mouse models of Alzheimers disease (AD), its efficacy was controversial in AD patients. The conflicting results in AD patients may be attributable to a couple of key factors. First, the optimal parameters of FLS for gamma entrainment may be different between diurnal humans and nocturnal mice. Second, the response to optimal FLS may be different between AD patients due to inter-individual difference in the microstructural integrity of white matter (WM) tracts. This study aimed to find the optimal parameters (color, luminal intensity and flickering frequency) of FLS for entraining gamma rhythms in diurnal humans and to examine the effect of fractional anisotropy (FA) of WM tracts on the entrainment and propagation of gamma rhythms. Methods: We first investigated the optimal color (white, red, green, and blue), luminal intensity (10 cd/m2, 100 cd/m2, 400 cd/m2, and 700 cd/m2), and frequency (32 - 50 Hz) of FLS for entraining gamma rhythms in visual cortex using event-related desynchronization/event-related synchronization (ERD/ERS) and for propagating gamma rhythm entrained in visual cortex to other brain regions using spectral Granger Causality (sGC) in 16 cognitively normal young adults (24.0 ยฑ 3.7 yrs) and 35 cognitively normal older adults (70.0 ยฑ 2.4 yrs). We also examined the adverse effects of FLS in both younger and older adults. Then we examined the effect of the FA of posterior thalamic radiations on the ERS of gamma rhythms entrained in visual cortex and that of and middle and superior longitudinal fasciculi on the sGC of the connectivity from visual cortex to temporal and frontal regions in 26 cognitively normal older adults using analysis of variance and linear regression analyses. Results: The FLSs using the lights of longer wavelengths such as white (p < 0.05) and red (p < 0.01) entrained and propagated gamma rhythms better than those of shorter wavelengths such as green and blue. The FLSs using stronger lights such as 700 cd/m2 (p < 0.001) and 400 cd/m2 (p < 0.01) entrained and propagated gamma rhythms better than weaker lights of 100 cd/m2 and 10 cd/m2. The FLSs flickering at 34-38 Hz were best for entraining and propagating gamma rhythm in younger adults (entrainment at Pz: p < 0.05, propagation: p < 0.05) while those flickering at 32-34 Hz were best for older adults (entrainment at Pz: p < 0.05, propagation: p < 0.001). In older adults, white FLSs of 700 cd/m2 flickering at 32โ€“34 Hz entrained the gamma rhythms most strongly at visual cortex (p < 0.05) and propagated them most widely to other brain regions (p < 0.05). The FLSs of 700 cd/m2 flickering at 32 Hz entrained gamma rhythms worse in the visual cortex of the older adults whose FA of left posterior thalamic radiation was low than in those whose FA of left posterior thalamic radiation was not low (p 0.05), and their severity of adverse effects was milder than that in younger adults. Conclusion: In diurnal human, optimal flickering frequency for gamma entrainment was about 20% lower than that in nocturnal mice. Although the FLSs of stronger luminal intensity and the longer wavelength may entrain gamma rhythms better, they may result in more and severe adverse effects. In older adults, white or red FLSs of 700 cd/m2 flickering at 32-34 Hz may be optimal for entraining and propagating gamma rhythms. Since gamma rhythms were not properly entrained by optimal FLS in the older adults whose microstructural integrity of the white matter tracts was impaired, the integrity of the white matter tracts involved in the entrainment and propagation of gamma rhythm should be measured and considered in determining the indication of gamma entrainment using visual stimulation.์—ฐ๊ตฌ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์ : 40Hz ์ ๋ฉธ๊ด‘์ž๊ทน (flickering light stimulation, FLS)์„ ์‚ฌ์šฉํ•œ ๊ฐ๋งˆ๋‡ŒํŒŒ๋™์กฐ๋Š” ์•Œ์ธ ํ•˜์ด๋จธ๋ณ‘ (Alzheimers disease, AD) ๋ชจ๋ธ ์ฅ์—์„œ ๋ณ‘๋ฆฌ๋ฅผ ๊ฐ์†Œ์‹œํ‚ค๊ณ  ์ธ์ง€ ๊ธฐ๋Šฅ์„ ํ–ฅ์ƒ์‹œํ‚ค๋Š” ๋ฐ ํšจ๊ณผ์ ์ด์—ˆ์ง€๋งŒ ์•Œ์ธ ํ•˜์ด๋จธ๋ณ‘ ํ™˜์ž์—์„œ๋Š” ๊ทธ ํšจ๋Šฅ์— ๋Œ€ํ•ด ๋…ผ๋ž€์ด ์žˆ๋‹ค. ์•Œ์ธ ํ•˜์ด๋จธ๋ณ‘ ํ™˜์ž์˜ ์ƒ์ถฉ๋˜๋Š” ๊ฒฐ๊ณผ๋Š” ๋ช‡ ๊ฐ€์ง€ ์ฃผ์š” ์š”์ธ์— ๊ธฐ์ธํ•  ์ˆ˜ ์žˆ๋‹ค. ์ฒซ์งธ, ๊ฐ๋งˆ๋‡ŒํŒŒ๋™์กฐ๋ฅผ ์œ„ํ•œ FLS์˜ ์ตœ์  ๋งค๊ฐœ๋ณ€์ˆ˜๋Š” ์ผ์ฃผ ๋™๋ฌผ์ธ ์ธ๊ฐ„๊ณผ ์•ผํ–‰์„ฑ ๋™๋ฌผ์ธ ์ฅ ๊ฐ„์— ๋‹ค๋ฅผ ์ˆ˜ ์žˆ๋‹ค. ๋‘˜์งธ, ์ตœ์ ์˜ FLS์— ๋Œ€ํ•œ ๋ฐ˜์‘์€ ๋ฐฑ์งˆ (white matter, WM) ์„ฌ์œ  ๋‹ค๋ฐœ ๋ฏธ์„ธ ๊ตฌ์กฐ์  ๋ฌด๊ฒฐ์„ฑ์˜ ๊ฐœ์ธ ๊ฐ„ ์ฐจ์ด๋กœ ์ธํ•ด ์•Œ์ธ ํ•˜์ด๋จธ๋ณ‘ ํ™˜์ž ๊ฐ„์— ๋‹ค๋ฅผ ์ˆ˜ ์žˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ์ผ์ฃผ ๋™๋ฌผ์ธ ์ธ๊ฐ„์—์„œ ๊ฐ๋งˆ๋‡ŒํŒŒ๋ฅผ ๋™๋ฐ˜ํ•˜๊ธฐ ์œ„ํ•œ FLS์˜ ์ตœ์  ๋งค๊ฐœ๋ณ€์ˆ˜ (์ƒ‰์ƒ, ๋ฐ๊ธฐ ๋ฐ ์ ๋ฉธ ์ฃผํŒŒ์ˆ˜)๋ฅผ ์ฐพ๊ณ  ๊ฐ๋งˆ๋‡ŒํŒŒ์˜ ๋™๋ฐ˜ ๋ฐ ์ „ํŒŒ์— ๋Œ€ํ•œ ๋ฐฑ์งˆ ์„ฌ์œ  ๋‹ค๋ฐœ์˜ ํ™•์‚ฐ๋น„๋“ฑ๋ฐฉ์„ฑ (fractional anisotropy, FA)์˜ ์˜ํ–ฅ์„ ์กฐ์‚ฌํ•˜๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœ ํ–ˆ๋‹ค. ์—ฐ๊ตฌ๋ฐฉ๋ฒ•: ์ธ์ง€๊ธฐ๋Šฅ์ด ์ •์ƒ์ธ ์ Š์€ ์„ฑ์ธ 16๋ช…๊ณผ ๋…ธ์ธ 35๋ช…์„ ๋Œ€์ƒ์œผ๋กœ, ์‹œ๊ฐํ”ผ์งˆ์— ๊ฐ๋งˆ๋‡ŒํŒŒ๋™์กฐ๋ฅผ ์œ ๋„ํ•˜๊ณ , ๋™์กฐ ๋œ ์‹œ๊ฐํ”ผ์งˆ์˜ ๊ฐ๋งˆ๋‡ŒํŒŒ๋ฅผ ๋‹ค๋ฅธ ๋‡Œ ์˜์—ญ์œผ๋กœ์˜ ์ „ํŒŒ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋Š” FLS์˜ ์ตœ์  ์ƒ‰์ƒ (๋ฐฑ์ƒ‰, ์ ์ƒ‰, ๋…น์ƒ‰ ๋ฐ ์ฒญ์ƒ‰), ๋ฐ๊ธฐ (10 cd/m2, 100 cd/m2, 400 cd/m2 ๋ฐ 700 cd/m2) ๋ฐ ์ ๋ฉธ ์ฃผํŒŒ์ˆ˜ (32-50 Hz)๋ฅผ ์‚ฌ๊ฑด ๊ด€๋ จ ๋น„ ๋™๊ธฐํ™”/์‚ฌ๊ฑด ๊ด€๋ จ ๋™๊ธฐํ™” (event-related desynchronization/event-related synchronization, ERD/ERS)์™€ ์ŠคํŽ™ํŠธ๋Ÿผ ๊ทธ๋žœ์ € ์ธ๊ณผ์„ฑ (spectral Granger Causality, sGC) ๋ถ„์„์„ ์ด์šฉํ•˜์—ฌ ์กฐ์‚ฌํ–ˆ๋‹ค. ์•„์šธ๋Ÿฌ ์ Š์€ ์„ฑ์ธ๊ณผ ๋…ธ์ธ์—์„œ FLS์˜ ๋ถ€์ž‘์šฉ์„ ์กฐ์‚ฌํ–ˆ๋‹ค. ์ด์–ด์„œ ๊ฐ๋งˆ๋‡ŒํŒŒ๊ฐ€ FLS์— ์˜ํ•ด ์‹œ๊ฐํ”ผ์งˆ์— ์ ์ ˆํ•˜๊ฒŒ ๋™์กฐ ๋œ ์ธ์ง€๊ธฐ๋Šฅ์ด ์ •์ƒ์ธ ๋…ธ์ธ 26๋ช…์„ ๋Œ€์ƒ์œผ๋กœ, ์‹œ๊ฐํ”ผ์งˆ์—์„œ ๋™์กฐ ๋œ ๊ฐ๋งˆ๋‡ŒํŒŒ์˜ ERS์™€ ์‹œ๊ฐํ”ผ์งˆ๊ณผ ์ธก๋‘ ๋ฐ ์ „๋‘ ์˜์—ญ๋“ค ๊ฐ„ ์—ฐ๊ฒฐ์„ฑ์ธ sGC์— ํ›„๋ฐฉ์‹œ์ƒ๋ฐฉ์‚ฌ์™€ ์ค‘๊ฐ„ ๋ฐ ์ƒ๋ถ€ ์„ธ๋กœ๋‹ค๋ฐœ๋“ค์˜ ํ™•์‚ฐ๋น„๋“ฑ๋ฐฉ์„ฑ์ด ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ํšŒ๊ท€๋ถ„์„๊ณผ ๋ถ„์‚ฐ๋ถ„์„์„ ์ด์šฉํ•˜์—ฌ ์กฐ์‚ฌํ–ˆ๋‹ค. ์—ฐ๊ตฌ๊ฒฐ๊ณผ: ์‚ฌ๋žŒ์—์„œ๋Š” ๋ฐฑ์ƒ‰ (p < 0.05) ๋ฐ ์ ์ƒ‰ (p < 0.01)๊ณผ ๊ฐ™์€ ์žฅํŒŒ์žฅ FLS๊ฐ€ ๋…น์ƒ‰ ๋ฐ ์ฒญ์ƒ‰๊ณผ ๊ฐ™์€ ๋‹จํŒŒ์žฅ FLS๋ณด๋‹ค ๊ฐ๋งˆ๋‡ŒํŒŒ๋™์กฐ๋ฅผ ๋” ๊ฐ•ํ•˜๊ฒŒ ์œ ๋ฐœํ•˜๊ณ , ๋™์กฐ ๋œ ๊ฐ๋งˆ๋‡ŒํŒŒ๋ฅผ ๋” ๋„“์€ ๋‡Œ ์˜์—ญ์œผ๋กœ ์ „ํŒŒ์‹œ์ผฐ๋‹ค. ๋˜ 700 cd/m2 (p < 0.001) ๋ฐ 400 cd/m2 (p < 0.01)์™€ ๊ฐ™์€ ๊ฐ•ํ•œ ํœ˜๋„ FLS๋Š” 100 cd/m2 ๋ฐ 10 cd/m2์™€ ๊ฐ™์€ ์•ฝํ•œ ํœ˜๋„ FLS๋ณด๋‹ค ๊ฐ๋งˆ๋‡ŒํŒŒ๋™์กฐ๋ฅผ ๋” ๊ฐ•ํ•˜๊ฒŒ ์œ ๋ฐœํ•˜๊ณ , ๋™์กฐ ๋œ ๊ฐ๋งˆ๋‡ŒํŒŒ๋ฅผ ๋” ๋„“์€ ๋‡Œ ์˜์—ญ์œผ๋กœ ์ „ํŒŒ์‹œ์ผฐ๋‹ค. 34-38 Hz์—์„œ ์ ๋ฉธํ•˜๋Š” FLS๋Š” ์ Š์€ ์„ฑ์ธ์—์„œ ๊ฐ๋งˆ๋‡ŒํŒŒ๋ฅผ ๋™๋ฐ˜ํ•˜๊ณ  ์ „ํŒŒํ•˜๋Š” ๋ฐ ๊ฐ€์žฅ ํšจ๊ณผ์ ์ด์—ˆ๊ณ  (Pz์—์„œ ๋™๋ฐ˜: p < 0.05, ์ „ํŒŒ: p < 0.05) 32-34 Hz์—์„œ ์ ๋ฉธํ•˜๋Š” FLS๋Š” ๋…ธ์ธ์—๊ฒŒ ๊ฐ€์žฅ ํšจ๊ณผ์ ์ด์—ˆ๋‹ค (Pz์—์„œ ๋™๋ฐ˜: p < 0.05, ์ „ํŒŒ: p < 0.001). ๋…ธ์ธ์—์„œ 32-34 Hz์—์„œ ์ ๋ฉธํ•˜๋Š” 700 cd/m2์˜ ๋ฐฑ์ƒ‰ FLS๋Š” ์‹œ๊ฐ ํ”ผ์งˆ์—์„œ ๊ฐ€์žฅ ๊ฐ•ํ•˜๊ฒŒ ๊ฐ๋งˆ๋‡ŒํŒŒ๋ฅผ ๋™๋ฐ˜ํ•˜๊ณ  (p < 0.05) ๋‹ค๋ฅธ ๋‡Œ ์˜์—ญ์œผ๋กœ ๊ฐ€์žฅ ๋„๋ฆฌ ์ „ํŒŒํ–ˆ๋‹ค (p < 0.05). 32 Hz์—์„œ ์ ๋ฉธํ•˜๋Š” 700 cd/m2์˜ FLS๋Š” ์ขŒํ›„์‹œ์ƒ๋ฐฉ์‚ฌ์„ ์˜ FA๊ฐ€ ๋‚ฎ์ง€ ์•Š์€ ๋…ธ์ธ๋ณด๋‹ค ๋‚ฎ์€ ๋…ธ์ธ์—์„œ ๊ฐ๋งˆ๋‡ŒํŒŒ๊ฐ€ ์‹œ๊ฐํ”ผ์งˆ์— ๋œ ๋™๋ฐ˜๋œ๋‹ค (p 0.05), ๋ถ€์ž‘์šฉ์˜ ์‹ฌ๊ฐ์„ฑ์€ ์ Š์€ ์„ฑ์ธ๋ณด๋‹ค ๊ฒฝ๋ฏธํ–ˆ๋‹ค. ๊ฒฐ๋ก : ์ฃผํ–‰์„ฑ์ธ ์ธ๊ฐ„์—์„œ ๊ฐ๋งˆ ๋™์กฐ๋ฅผ ์œ„ํ•œ ์ตœ์ ์˜ ์ ๋ฉธ ์ฃผํŒŒ์ˆ˜๋Š” ์•ผํ–‰์„ฑ ์ฅ๋ณด๋‹ค ์•ฝ 20% ๋‚ฎ์•˜๋‹ค. ๋” ๊ฐ•ํ•œ ํœ˜๋„์™€ ๋” ๊ธด ํŒŒ์žฅ์˜ FLS๊ฐ€ ๊ฐ๋งˆ๋‡ŒํŒŒ๋ฅผ ๋” ์ž˜ ๋™์กฐ ์‹œํ‚ฌ ์ˆ˜ ์žˆ์ง€๋งŒ ๋” ํฌ๊ณ  ์‹ฌ๊ฐํ•œ ๋ถ€์ž‘์šฉ์„ ์ดˆ๋ž˜ํ•  ์ˆ˜ ์žˆ๋‹ค. ๋…ธ์ธ์˜ ๊ฒฝ์šฐ 32-34 Hz์—์„œ ์ ๋ฉธํ•˜๋Š” 700 cd/m2์˜ ๋ฐฑ์ƒ‰ ๋˜๋Š” ์ ์ƒ‰ FLS๊ฐ€ ๊ฐ๋งˆ๋‡ŒํŒŒ๋ฅผ ๋™์กฐํ•˜๊ณ  ์ „ํŒŒํ•˜๋Š” ๋ฐ ์ตœ์ ์ผ ์ˆ˜ ์žˆ๋‹ค. ๊ฐ๋งˆ๋‡ŒํŒŒ๋Š” ๋ฐฑ์งˆ ์„ฌ์œ  ๋‹ค๋ฐœ์˜ ๋ฏธ์„ธ ๊ตฌ์กฐ์  ๋ฌด๊ฒฐ์„ฑ์ด ์†์ƒ๋œ ๋…ธ์ธ์—์„œ๋Š” ์ตœ์ ์˜ FLS์— ์˜ํ•ด ์ ์ ˆํ•˜๊ฒŒ ๋™์กฐ ๋˜์ง€ ์•Š์•˜๊ธฐ ๋•Œ๋ฌธ์—, ๊ฐ๋งˆ๋‡ŒํŒŒ์˜ ๋™์กฐ ๋ฐ ์ „ํŒŒ์™€ ๊ด€๋ จ๋œ ๋ฐฑ์งˆ ์˜์—ญ์˜ ๋ฌด๊ฒฐ์„ฑ์€ ์‹œ๊ฐ์  ์ž๊ทน์„ ์‚ฌ์šฉํ•˜์—ฌ ๊ฐ๋งˆ๋‡ŒํŒŒ๋™์กฐ ์ ์šฉ์„ ๊ฒฐ์ •ํ•  ๋•Œ ์ธก์ •๋˜๊ณ  ๊ณ ๋ ค๋˜์–ด์•ผ ํ•œ๋‹ค.1. Introduction 1 1.1. Background 1 1.2. Purpose 4 2. Methods 6 2.1. Study design 6 2.1.1. Study 1. Investigation on the optimal parameters of FLS for gamma entrainment in humans 6 2.1.2. Study 2. Investigation on the effect of WM microstructural integrity on the gamma entrainment by FLS in humans 7 2.2. Participants 7 2.2.1. Study 1. Investigation on the optimal parameters of FLS for gamma entrainment in humans 7 2.2.2. Study 2. Investigation on the effect of WM microstructural integrity on the gamma entrainment by FLS in humans 8 2.2.3. Clinical evaluation of the participants 8 2.3. Research ethics 9 2.4. FLS 9 2.5. Recording, preprocessing and analysis of EEG 10 2.6. Acquisition, preprocessing and analysis of DTI 13 2.7. Statistical analyses 14 3. Results 16 3.1. Effects of the rsEEG spectral band power on cognitive function 16 3.2. Entrainment and propagation of the gamma rhythms by FLS 16 3.3. Effects of the FLS color on gamma entrainment and propagation 17 3.4. Effects of the FLS intensity on gamma entrainment and propagation 18 3.5. Effects of the FLS frequency on gamma entrainment and propagation 18 3.6. Effects of the microstructural integrity of WM tracts on the gamma entrainment and propagation 20 3.7. Adverse effects 21 4. Discussions 23 5. Conclusions 35 Bibliography 66 ๊ตญ๋ฌธ์ดˆ๋ก 81๋ฐ•
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