• Title/Summary/Keyword: Brain Signal

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Induction of Neuron-derived Orphan Receptor-1 in the Dentate Gyrus of the Hippocampal Formation Following Transient Global Ischemia in the Rat

  • Kim, Younghwa;Hong, Soontaek;Noh, Mi Ra;Kim, Soo Young;Huh, Pil Woo;Park, Sun-Hwa;Sun, Woong;Kim, Hyun
    • Molecules and Cells
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    • v.22 no.1
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    • pp.8-12
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    • 2006
  • Neuron-derived orphan receptor (NOR-1) is a member of the thyroid/steroid receptor superfamily that was originally identified in forebrain neuronal cells undergoing apoptosis. In addition to apoptotic stimuli, activation of several signal transduction pathways including direct neuronal depolarization regulates the expression of NOR-1. In this study we tested whether the expression of NOR-1 is changed following transient ischemic injury in the adult rat brain. NOR-1 mRNA increased rapidly in the dentate gyrus of the hippocampal formation and piriform cortex 3 h after transient global ischemia and returned to basal level at 6 h. On the other hand, oxygen-glucose deprivation of cultured cerebral cortical neurons did not alter the expression of NOR-1. These results suggest that expression of NOR-1 is differentially regulated in different brain regions in response to globally applied brain ischemia, but that hypoxia is not sufficient to induce its expression.

Usefulness of Brain Phantom Made by Fused Filament Fabrication Type 3D Printer (적층 제조형 방식의 3D 프린터로 제작한 뇌 팬텀의 유용성)

  • Lee, Yong-Ki;Ahn, Sung-Min
    • Journal of radiological science and technology
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    • v.43 no.6
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    • pp.453-460
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    • 2020
  • The price of the Brain phantom (Hoffman 3D brain phantom) used in nuclear medicine is quite expensive, it is difficult to be purchased by a medical institution or an educational institution. Therefore, the purpose of present research is to produce a low-price 3D brain phantom and evaluate its usefulness by using a 3D printer capable of producing 3D structures. The New 3D brain phantom consisted of 36 slices 0.7 mm thick and 58 slices 1.5 mm thick. A 0.7 mm thick slice was placed between 1. 5 mm thick slices to produce a composite slice. ROI was set at the gray matter and white matter scanned with CT to measure and compare the HU, in order to verify the similarity between PLA which was used as the material for the New 3D brain phantom and acrylic which was used as the material for Hoffman 3D brain phantom. As a result of measuring the volume of each Phantom, the error rate was 3.2% and there was no difference in the signal intensity in five areas. However, there was a significant difference in the average values of HU which was measured at the gray and white matter to verify the similarity between PLA and acrylic. By reproducing the previous Hoffman 3D brain phantom with a 100 times less cost, I hope this research could contribute to be used as the fundamental data in the areas of 3D printer, nuclear medicine and molecular imaging and to increasing the distribution rate of 3D brain phantom.

Transmit Receive RF Resonator Optimization at 7 T MRI System (7 T 자기공명영상시스템에서의 송수신 RF 공진기 최적화)

  • Alam, Mohammad Wajih;Yoo, Hyoungsuk
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.10
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    • pp.1727-1730
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    • 2016
  • Magnetic resonance imaging has a potential to produce clear anatomical as well as functional images of human body. However, the ability to diagnose is limited by signal to noise ratio (SNR) and the resolution of current medical systems. To remove the challenges prevalent due to the use of high field scanners, dedicated radio frequency coils are used. Transverse electromagnetic coils have an advantage of providing homogeneous magnetic field throughout the region but with low signal to noise ratio while surface coils have an advantage of providing higher signal to noise ratio but with low homogeneity. This research combines both the advantage into one by utilizing transmit only transverse electromagnetic radio frequency coils (8 channel) along with receive only surface coils (by varying the number) for better imaging of brain. A 7 Tesla 32-channel close fitting helmet shaped phased-array surface coils along with the combination of 8 channel transmit only transverse electromagnetic coils provided good homogeneity as well as significant SNR improvements throughout the human brain.

A Case of Peripheral Facial Palsy in Ponto-medullary Junction Area Infarction (말초성 안면신경 마비로 발현된 교뇌-연수 인접 부위 뇌경색 1예)

  • Cho, Jeong-Seon;Kim, Doo-Eung;Kim, Jung-Mee;Han, Young-Su;Ha, Sang-Won;Park, Sang-Eun;Han, Jeong-Ho;Cho, Eun-Kyoung
    • Annals of Clinical Neurophysiology
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    • v.8 no.2
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    • pp.186-189
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    • 2006
  • A 69 year-old woman was admitted with sudden left facial weakness. She had no other neurologic deficit, except for left peripheral type facial palsy. She had a presumptive diagnosis of Bell's palsy. The blink test was indicative of left facial neuropathy due to left medullary lesion. Diffusion weighted (DWI) brain MRI demonstrated high signal signal lesion in left dorsolateral ponto-medullary junction. Apperant diffusion coefficient (ADC) brain MRI showed low signal lesion in the same area. We present an unusual case of ipsilateral peripheral facial palsy in dosolateral ponto-medullary infarction without other neurologic deficits.

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A Study on EEG Artifact Removal Method using Eye tracking Sensor Data (시선 추적 센서 데이터를 활용한 뇌파 잡파 제거 방법에 관한 연구)

  • Yun, Jong-Seob;Kim, Jin-Heon
    • Journal of IKEEE
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    • v.22 no.4
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    • pp.1109-1114
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    • 2018
  • Electroencephalogram (EEG) is a tool used to study brain activity caused by external stimuli. In this process, artifacts are mixed and it is easy to distort the signal, so post-processing is necessary to remove it. Independent Component Analysis (ICA) is a widely used method for removing artifact. This method has a disadvantage in that it has excellent performance but some loss of brain wave information. In this paper, we propose a method to reduce EEG information loss by restricting the filter coverage using eye blink information obtained from Eyetracker. We then compared the results of the proposed method with the conventional method using quantization methods such as Signal to Noise Ratio (SNR) and Spectral Coherence (SC).

Mouse Somatosensory Cortex Stimulation Using Pulse Modulated Transcranial Magnetic Stimulation (구형파 변조된 경두개 자기자극을 이용한 쥐의 감각피질 자극실험)

  • Sun, Sukkyu;Seo, Taeyoon;Huh, Yeowool;Cho, Jeiwon;Kwon, Youngwoo
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.27 no.5
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    • pp.482-485
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    • 2016
  • In this work, a transcranial magnetic stimulation(TMS) experiment on animals is performed to stimulate the brain cortex of the mouse using modulated signals. The proposed TMS system is composed of the inverter, transformer, capacitor, variable inductor, and stimulation coil to generate 1.5 mT magnetic field in the brain cortex of the mouse. The stimulation signal is modulated to square wave where the carrier frequency is swept from 85 to 91 kHz to investigate the stimulation effect. The experimental result shows that when the carrier frequency of the stimulation signal is lower than 89 kHz, the reaction of the mouse does not change while the stimulation signal which has the carrier frequency higher than 89 kHz results in decreasing the threshold of the stimulus for the pressure.

Noise Level Evaluation According to Slice Thickness Change in Magnetic Resonance T2 Weighted Image of Multiple Sclerosis Disease (다발성 경화증 질환의 자기공명 T2 강조영상에서 단면 두께 변화에 따른 잡음 평가)

  • Hong, Inki;Park, Minji;Kang, Seong-Hyeon;Lee, Youngjin
    • Journal of radiological science and technology
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    • v.44 no.4
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    • pp.327-333
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    • 2021
  • Magnetic resonance imaging(MRI) uses strong magnetic field to image the cross-section of human body and has excellent image quality with no risk of radiation exposure. Because of above-mentioned advantages, MRI has been widely used in clinical fields. However, the noise generated in MRI degrades the quality of medical images and has a negative effect on quick and accurate diagnosis. In particular, examining a object with a detailed structure such as brain, image quality degradation becomes a problem for diagnosis. Therefore, in this study, we acquired T2 weighted 3D data of multiple sclerosis disease using BrainWeb simulation program, and used quantitative evaluation factors to find appropriate slice thickness among 1, 3, 5, and 7 mm. Coefficient of variation and contrast to noise ratio were calculated to evaluate the noise level, and root mean square error and peak signal to noise ratio were used to evaluate the similarity with the reference image. As a result, the noise level decreased as the slice thickness increased, while the similarity decreased after 5 mm. In conclusion, as the slice thickness increases, the noise is reduced and the image quality is improved. However, since the edge signal is lost due to overlapped signal, it is considered that selecting appropriate slice thickness is necessary.

Decoding Brain Patterns for Colored and Grayscale Images using Multivariate Pattern Analysis

  • Zafar, Raheel;Malik, Muhammad Noman;Hayat, Huma;Malik, Aamir Saeed
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.4
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    • pp.1543-1561
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    • 2020
  • Taxonomy of human brain activity is a complicated rather challenging procedure. Due to its multifaceted aspects, including experiment design, stimuli selection and presentation of images other than feature extraction and selection techniques, foster its challenging nature. Although, researchers have focused various methods to create taxonomy of human brain activity, however use of multivariate pattern analysis (MVPA) for image recognition to catalog the human brain activities is scarce. Moreover, experiment design is a complex procedure and selection of image type, color and order is challenging too. Thus, this research bridge the gap by using MVPA to create taxonomy of human brain activity for different categories of images, both colored and gray scale. In this regard, experiment is conducted through EEG testing technique, with feature extraction, selection and classification approaches to collect data from prequalified criteria of 25 graduates of University Technology PETRONAS (UTP). These participants are shown both colored and gray scale images to record accuracy and reaction time. The results showed that colored images produces better end result in terms of accuracy and response time using wavelet transform, t-test and support vector machine. This research resulted that MVPA is a better approach for the analysis of EEG data as more useful information can be extracted from the brain using colored images. This research discusses a detail behavior of human brain based on the color and gray scale images for the specific and unique task. This research contributes to further improve the decoding of human brain with increased accuracy. Besides, such experiment settings can be implemented and contribute to other areas of medical, military, business, lie detection and many others.

Preoperative Assessment of Cystic Brain Lesion : Significance of Diffusion-Weighted Image and ADC (Apparent Diffusion Coefficiency) Values

  • Choi, Hyun-Chul;Lee, Sang-Won;Ji, Cheol
    • Journal of Korean Neurosurgical Society
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    • v.41 no.6
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    • pp.371-376
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    • 2007
  • Objective : The aim of this study was to investigate the usefulness of diffusion-weighted imaging [DWI] and apparent diffusion coefficiency [ADC] in distinguishing brain abscesses from cystic or necrotic brain tumors, which are difficult to be differentiated by conventional magnetic resonance imaging techniques. Methods : Seven patients with brain abscesses and ten patients with cystic brain tumors were studied from September 2003 to October 2005. Abscess, subdural empyema and ventriculitis were categorized to the abscess group and cystic or necrotic brain gliomas or metastatic brain tumors into the tumor group. Preoperative magnetic resonance images were performed in all patients and diffusion-weighted images and apparent diffusion coefficiency values of lesions were calculated directly from software of 1.5 tesla MRI [General Electrics, USA]. The ratio of the ADC of the lesion to contralateral regional ADC was also measured [relative ADC, rADC]. Results : The average ADC value of pyogenic abscesses group was $0.82+/-0.14{\times}10^{-3}\;[mean+/-S.D.]\;mm^2/s$ and mean rADC was 0.75. Cystic or necrotic areas had high ADC values [$2.49+/-0.79{\times}10^{-3}\;mm^2/s$, mean rADC=2.14]. ADC and rADC values of abscesses group showed about three times lower values than those of cystic or necrotic tumor group. Conclusion : This study results based on numerical comparison of signal intensities and quantitative analysis to distinguish between brain abscess and cystic or necrotic tumor, DWI and ADC mapping are thought to be very useful diagnostic tools.

The Study on Signal to Noise Ratio of Single-Shot Turbo Spin Echo to Reduce Image Distortion in Brain Stem Diffusion MRI (뇌줄기 확산강조 자기공명영상검사 시 뒤틀림을 줄이기 위한 SS-TSE 기법의 신호대잡음비 연구)

  • Koo, Nohyun;Lee, Hobeom;Choi, Kwanwoo;Son, Soonyong;Yoo, Beonggyu
    • Journal of the Korean Society of Radiology
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    • v.10 no.4
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    • pp.241-246
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    • 2016
  • The purpose of this study was to investigate the problems of low signal-to-noise ratio(SNR) of single-shot turbo spin echo(SS-TSE) by quantifying numerically decreased signal to noise ratio. Thirty five patients without brain disease underwent diffusion MRI in 3T scanner from July to October in 2015. Single shot echo planar imaging(SS-EPI) which is conventionally used in MRI was taken to compared SS-TSE in SNR of medulla oblongata. As a result, SNR of SS-TSE diffusion(b0=$314.41{\pm}42.96$, b1000=$117.33{\pm}14.04$) is than SS-EPI diffusion(b0=$514.84{\pm}48.97$, b=$208.65{\pm}25.70$) lower in b=0 image(38.9%) and b=1,000 image(43.8%). Thus, diffusion MR using SS-EPI of MS-EPI should be taken for diagnosis of disease in brain stem due to decreased SNR of diffusion using SS-TSE.