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Nutrition and Brain Development (영양과 두뇌발달)

  • Leekim, Yang-Cha
    • Journal of Nutrition and Health
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    • v.10 no.2
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    • pp.5-11
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    • 1977
  • The mature human braun contains over 10 billion nerve cells (neurons), whose functions are directly related to the acquisition, transfer, processing, analysis, and utilization of all the information. There are also billions of glial cells, which serve primarily to support and to maintain the integrity of the neuron network and to synthesize an essential fatty strucfure, myelin. In the human brain DNA content therefore cell number rises rapidly until birth and then more slowly until $5{\sim}6$ months of age, when it reaches a maximum. While glial cells may be replaced, the more important nerve cell neurons can never be replaced once they are formed. Humans are born with their full complement of neurons and every neuron is as old as each individual. Thus prenatal malnutrition can seriously affect a person's entire life by severely inhibiting the production of neurons before birth.It has been demonstrated that in humans severe malnutrition during the fetal period and in infancy is associated with intellectual impairment. Severely malnourished children have brains smaller than average size and have been found to have $15{\sim}20%$ fewer brain cells than wellnourished childen. There is growing body of literature pointing to malnutrition as a cause of abnormal behavior as evidence that suggests these abnormalities may produce chromosomal damage that may persist forever. Although cognitive development in children is affected by multiple environmental factors, nutrition certainly deaerves more attention than it has received.

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Effects of Action Observation Training and Mirror Therapy on the Electroencephalograms of Stroke Patients

  • Lee, Ho Jung;Lee, Jong Su;Kim, Young Mi
    • The Journal of Korean Physical Therapy
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    • v.33 no.2
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    • pp.106-113
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    • 2021
  • Purpose: This study examined the effectiveness of action observation training (AOT) and mirror therapy in improving the electroencephalograms (EEG) of stroke patients. Methods: Patients were allocated randomly to three groups: an action observation training with activity (AOTA) group (n=12), a mirror therapy with activity (MTA) group (n=11), and an AOT-only group (n=12). All groups received conventional physiotherapy in five 60-minute sessions over six weeks. The AOTA, MTA, and AOT groups practiced AOTA, MTA, and AOT, respectively, in three 30-minute sessions over six weeks. The differences between the pre- and post-treatment EEGs were assessed using a paired t-test. Comparisons between the groups were performed using one-way ANOVA. Results: The participants in the AOTA and MTA groups showed significant improvement in the EEG. AOTA improved the alpha waves of the prefrontal, temporal, and parietal lobes significantly (p<0.05). MTA improved the alpha waves of the temporal lobe significantly (p<0.05). AOT did not result in significant improvement Conclusion: AOTA and MTA improve stroke patients' EEGs. Mirror neuron activation combined with conventional stroke physiotherapy promotes motor recovery and functioning. The effect is enhanced when the actions are executed after observation. Further research into mirror neuron activation will be needed to develop methods to improve the EEGs of stroke patients.

Interval Arithmetic Learning Algorithm for Spiking Neural Networks (Spiking Neural Networks 의 구간연산 학습알고리즘)

  • Lee, Kyunghee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.11a
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    • pp.793-795
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    • 2020
  • 본 논문에서는 스파이킹 뉴론(Spiking Neuron)들이 쿨롱에너지 포텐셜 (Coulomb Energy Potential)을 가지는 스파이킹 신경회로망에서의 학습알고리즘을 일반화하여 구간연산(Interval Arithmetic)의 학습이 가능한 학습알고리즘을 제안한다. 제안하는 학습알고리즘은 입력 데이터로서 구간(Interval) 데이터와 포인트(Point) 데이터를 모두 학습 할 수 있는 일반화된 학습알고리즘으로서 간단한 컴퓨터 시뮬레이션을 통하여 범위(Lower bound & Upper bound)를 가지는 구간데이터와 포인트데이터의 통합적인 학습이 가능하고 전문가시스템(expert system)에서의 "don't care attributes"의 학습 등에도 활용이 가능함을 보인다.

An Error position detection and recovery algorithm at 3×3 matrix digital circuit by mimicking a Neuron (뉴런의 기능을 모사한 3×3배열구조의 디지털 회로에서의 오류위치 확인 및 복구 알고리즘)

  • Kim, Seok-Hwan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.11
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    • pp.2193-2198
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    • 2016
  • In this study, we propose an algorithm to simulate the function of the coupling structure and having two neurons to find out exactly recover the temporary or permanent position errors that can occur during operation in a digital circuit was separated by function, a $3{\times}3$ array. If any particular part in the combined cells are differentiated cells have a problem that function to other cells caused an error and perform the same function are subjected to a step of apoptosis by the surrounding cells. Designed as a function block in the function and the internal structure having a cell structure of this digital circuit proposes an algorithm. In case of error of module 4 of block 1 considered in this study, sum of all module numbers for horizontal direction, total module number sum for vertical direction, and sum of all module numbers for diagonal direction, We were able to find the location.

A Study on the Synaptic Characteristics of SONOS memories for the Artificial Neural Networks (인공신경망을 위한 SONOS 기억소자의 시냅스특성에 관한 연구)

  • 이성배;김주연;서광열
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.11 no.1
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    • pp.7-11
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    • 1998
  • In this paper, a new synapse cell with nonvolatile SONOS semiconductor memory device is proposed and it's fundamental function electronically implemented SONOS NVSM has shown characteristics that the memory value, synaptic weights, can be increased or decreased incrementally. A novel SONOS synapse is used to read out the stored analog value. For the purpose of synapse implementation using SONOS NVSM, this work has investigated multiplying characteristics including weight updating characteristics and neuron output characteristics. It is concluded that SONOS synapse cell has good agreement for use as a synapse in artificial neural networks.

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Immunohistochemical Study of NSE in Small Cell Lung Cancer (SCLC) Combined with Serum Assay (소세포폐암에서 Neuron Specific Enolase의 면역조직 화학염색과 혈청농도에 관한 연구)

  • Kwak, Seung-Min;Kim, Hyung-Jung;Shin, Dong-Hwan;Jang, Joong-Hyun;Lee, Hong-Lyeol;Kim, Se-Kyu;Ahn, Chul-Min;Kim, Sung-Kyu;Lee, Won-Young;Lee, Kyi-Beom
    • Tuberculosis and Respiratory Diseases
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    • v.39 no.6
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    • pp.502-510
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    • 1992
  • Background: Neuron specific enolase (NSE) is a neuronal form of the glycolytic enzyme enolase which was first found in extracts of brain tissue, and later in a variety of APUD cells and neurons of the diffuse endocrine system. SCLC shares many APUD properties with normal neuroendocrine cells. NSE immunostaining and serum NSE measurement may be a useful marker of neuroendocrine differentiation in lung tumors and diagnosis of small cell carcinoma. Methods: NSE immunohistochemical staining was done and at the same time serum NSE levels were measured in 22 small cell lung cancer and 21 non small cell lung cancer which were confirmed histologically. Results: 1) NSE immunoreactivity was detected in 9 of the 18 (50%) small cell lung cancer, in 5 of the 16 non small cell lung cancer. 2) Whereas the mean value in non-small cell lung cancer group was $11.79{\pm}4.47\;ng/ml$, the mean level of serum NSE in small cell lung cancer increased up to $59.3{\pm}77.8\;ng/ml$. In small cell lung cancer patients, mean value of limited disease group was $20.19{\pm}12.91\;ng/ml$, while mean value of extended disease group was $91.9{\pm}94.2\;ng/ml$ showing statistically significant difference. If serum levels above 20 ng/ml were tentatively defined as positive, 16 of 22 (73%) patients with SCLC had positive serum NSE level, but only one patient with NSCLC did. There was no correlation between serum NSE level and immunoreactivity of NSE. Conclusion: These studies indicate that serum NSE measurement may be a useful marker for the diagnosis and disease extent and NSE immunostaining can be used to demonstrate the neuroendocrine components of lung tumor.

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Suppression by Microinjection of Bicuculline into Brain Stem Nuclei of Dorsal Horn Neuron Responsiveness in Neuropathic Rats (신경병증성통증 모델쥐에서 뇌간핵 부위에 미세 주입한 Bicuculline에 의한 척수후각세포의 반응도 억제)

  • Leem, Joong-Woo;Choi, Yoon;Lee, Jae-Hwan;Nam, Taick-Sang;Paik, Kwang-Se
    • The Korean Journal of Pain
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    • v.11 no.1
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    • pp.23-29
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    • 1998
  • Background: The present study was conducted to investigate effects of microinjection of bicuculline, GABA-A receptor antagonist, into the brain stem nuclei on the dorsal horn neuron responsiveness in rats with an experimental peripheral neuropathy. Methods: An experimental neuropathy was induced by a unilateral ligation of L5~L6 spinal nerves of rats. After 2~3 weeks after the surgery, single-unit recording was made from wide dynamic range (WDR) neurons in the spinal cord dorsal horn. Results: Responses of WDR neurons to both noxious and innocuous mechanical stimuli applied to the somatic receptive fields were enhanced on the nerve injured side. These enhanced responsiveness of WDR neurons were suppressed by microinjection of bicuculline into periaqueductal gray(PAG) or nucleus reticularis gigantocellularis(Gi). A similar suppression was also observed when morphine was microinjected into PAG or Gi. Suppressive action by Gi-bicuculline was reversed by naloxonazine, ${\mu}$-opioid receptor antagonist, microinjected into PAG whereas PAG-bicuculline induced suppression was not affected by naloxonazine injection into Gi. Gi-bicuculline induced suppression were reversed by a transection of dorsolateral funiculus(DLF) of the spinal cord. Conclusions: The results suggest that endogenous opioids, via acting on GABAergic interneurons in PAG and Gi, may be involved in the control of neuropathic pain by activating the descending inhibitory pathways that project to the spinal dorsal horn through DLF to inhibit the responsiveness of WDR neurons.

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Electrical properties and ATP-sensitive K+ channel density of the rat substantia nigra pars compacta neurons (랫드 흑질 신경세포의 전기적 특성과 ATP-sensitive K+채널의 전류밀도)

  • Han, Seong-kyu;Park, Jin-bong;Ryu, Pan-dong
    • Korean Journal of Veterinary Research
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    • v.40 no.2
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    • pp.275-282
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    • 2000
  • Substantia nigra is known to highly express glibenclamide binding site, a protein associated to ATP-sensitive $K^{+}$ ($K_{ATP}$) channel in the brain. However, the functional expression of $K_{ATP}$ channels in the area is not yet known. In this work, we attempted to estimate the functional expression of $K_{ATP}$ channels in neurons of the substantia nigra pars compacta (SNC) in young rats using slice patch clamp technique. Membrane properties and whole cell currents attributable to $K_{ATP}$ channel were examined by the current and voltage clamp method, respectively. In SNC, two sub-populations of neurons were identified. Type I (rhythmic) neurons had low frequency rebound action potentials ($4.5{\pm}0.25Hz$, n=75) with rhythmic pattern. Type II (phasic) neurons were characterized by faster firing ($22.7{\pm}3.16Hz$, n=12). Both time constants and membrane capacitance in rhythmic neurons ($34.0{\pm}1.27$ ms, $270.0{\pm}11.83$ pF) and phasic neurons ($23.7{\pm}4.16$ ms, $184{\pm}35.2$ pF) were also significantly different. The current density of $K_{ATP}$ channels was $6.1{\pm}1.47$ pA/pF (2.44~15.43 pA/pF, n=8) at rhythmic neurons of young rats. Our data show that in SNC there are two types of neurons with different electrical properties and the density of $K_{ATP}$, channel of rhythmic neuron is about 600 channels per neuron.

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Lower Motor Neuron Hyperexcitability in Amyotrophic Lateral sclerosis: Analysis Using Motor Evoked Potentials (근위축성 측삭 경화증의 하 운동 신경원 과흥분성: 운동유발전위를 이용한 분석)

  • Bae, Jong-Seok;Hong, Suk-Chan;Kim, Min-ky;Kim, Byoung-Joon
    • Annals of Clinical Neurophysiology
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    • v.5 no.1
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    • pp.21-26
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    • 2003
  • Background & Objectives: Hyperexcitablity of motor system is a well-established characteristic pathophysiologic finding of amyotrophic lateral sclerosis (ALS). Whereas little is known about the source of excitability according to the progression of the disease. We evaluated the excitability and its source in advanced ALS patients using transcranial magnetic stimulation (TMS). Meterial & Methods: Motor evoked potentials (MEP) by TMS were recorded for abductor pollicis brevis muscles in 20 patients, 11 men and 9 women, with ALS. Mean age was $54.2{\pm}12.1years$, and mean disease duration was $13.9{\pm}13.4years$. Serial magnetic stimulations were applied to get the parameters; excitability threshold (ET), amplitude and latency of MEP. We also had a facilitated MEP (fMEP). Results: The parameters were analyzed according to the clinical settings. ET was higher in ALS(mean $63.5{\pm}18.1$) than normal control (mean $46.0{\pm}8.4$, p<0.01). Amplitudes of MEP were reduced in ALS ($2.6{\pm}3.6mV$; control $6.5{\pm}3.1mV$, p<0.01). Duration of the disease and ET showed significant inverse correlation (Spearson correlation coefficient = -0.57, p<0.01). Duration of the disease and fMEP/MEP ratio showed less but also significant inverse correlation (Spearson correlation coefficient, r = -0.52, p < 0.05). Conclusions: Lower ET in advanced ALS patients, in spite of decreased fMEP/MEP ratio, may indicate the hyperexcitability of lower motor neurons in these patients. This study suggests that lower motor neurons is hyperexcitable due to upper motor neuron dysfunction at advanced stage.

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Detection of Intensity Changes by a Diffusion Neural Network (확산뉴런망을 이용한 밝기 변화 추출)

  • Kwon, Yool;Nam, Ki-Gon;Yoon, Tae-Hoon;Kim, Jae-Chang
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.29B no.11
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    • pp.85-92
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    • 1992
  • In this paper we propose a diffusion neural network model. In this model, each excitatory and inhibitory neuron has the capability of diffusing external excitations. We show that this model can be used for the detection of intensity changes of an input image. The relations between the diffusion coefficient, the iteration number of diffusion, and the detected spatial frequency are analyzed. The calculation time is reduced than that of a LOG(a Laplacian of a Gaussian) method.

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