• Korean Journal of Otorhinolaryngology-Head and Neck Surgery
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• v.60 no.5
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• pp.209-214
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• 2017

Background and Objectives Tinnitus retraining therapy (TRT) is one of the most effective treatment modalities of tinnitus based on the neurophysiological model proposed by Jastreboff and Hazell. This study was performed to evaluate the effect of counselor factor on treatment outcomes of TRT. Subjects and Method The total of 78 patients who had TRT from three different counselors in a tinnitus clinic of tertiary referral center from Jan 2015 to Dec 2015 were included in this study. Their medical records were retrospectively reviewed to evaluate the therapeutic response to TRT. Results Among 78 patients who were followed-up for more than 6 months, 47, 20, and 11 patients were treated by counselors A, B, C (all ENT specialists), respectively. Counselor A had 15-year-experience of TRT counseling, whereas counselor B and C were well trained but beginners of TRT counseling. Initial clinical characteristics including Tinnitus Handicap Inventory (THI) and tinnitus Visual Analogue Scale (VAS) scores of the patients among three groups were not significantly different. Treatment responses evaluated via THI and most of the tinnitus VAS scores after at least 6 months after TRT were significantly improved in all three groups (p<0.05) with no significant difference between the senior (A) and junior (B, C) group. Conclusion TRT seems to be an effective treatment modality of tinnitus even in this short term follow-up study. Treatment outcomes of TRT may not depend on the counselors once they are well trained and follow the same protocol.

• Trans-
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• v.12
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• pp.21-49
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• 2022

This study examines the possibility of chronic brain disease rehabilitation treatment using VR/AR technology and raises the research need for the development of digital therapeutics. In addition, by proposing a digital therapeutic research and development process this study intends to contribute to the development of VR/AR rehabilitation treatment. To this end, this study identified research trends of VR/AR technology, neurophysiology, and chronic brain disease and proposed a method for applying VR/AR technology to treat chronic brain disease patients in three stages. The first stage is to prepare a neurophysiological basis for rehabilitation treatment of brain disease patients using VR technology. The second stage is to provide a treatment method using VR/AR technology and systematize the contents characteristics. The third stage is to conduct clinical trails and validate that the treatment method and contents utilization is effective for the patient. It is hope that this study serves as a guide for developing media production base technology for treating patient with a chronic brain disease.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.1
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• pp.137-142
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• 2024

Recently, deep learning technology has become those methods as de facto standards in the area of medical data representation. But, deep learning inherently requires a large amount of training data, which poses a challenge for its direct application in the medical field where acquiring large-scale data is not straightforward. Additionally, brain signal modalities also suffer from these problems owing to the high variability. Research has focused on designing deep neural network structures capable of effectively extracting spectro-spatio-temporal characteristics of brain signals, or employing self-supervised learning methods to pre-learn the neurophysiological features of brain signals. This paper analyzes methodologies used to handle small-scale data in emerging fields such as brain-computer interfaces and brain signal-based state prediction, presenting future directions for these technologies. At first, this paper examines deep neural network structures for representing brain signals, then analyzes self-supervised learning methodologies aimed at efficiently learning the characteristics of brain signals. Finally, the paper discusses key insights and future directions for deep learning-based brain signal analysis.

• The Journal of Korean Academy of Sensory Integration
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• v.22 no.1
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• pp.15-24
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• 2024

Objective : The aim of this study was to investigate the relationship between interoceptive awareness, sensory processing, and heart rate variability which reflects the function of the autonomic nervous system. Methods : Young adults completed the Adolescent/Adult Sensory Profile (AASP) and the Multidimensional Assessment of Interoceptive Awareness (MAIA) for sensory processing and interoceptive awareness, respectively. Heart rate was recorded using electrocardiograms during the resting period, and the standard deviation of normal-to-normal interval (SDNN) was extracted. The correlation between sensory sections of the AASP and subscales of the MAIA was analyzed, and the differences in touch and interoceptive awareness between groups with high and low SDNN were compared. Results : The touch of the AASP showed a relatively strong correlation with the subscales of the MAIA. Higher touch scores were associated with lower scores of not-worrying and attention regulation, but higher emotional awareness. The high SDNN group showed a tendency of higher interoceptive awareness compared to the low SDNN group. Conclusion : This study demonstrated the tactile processing has the relationship with interoceptive awareness and individuals with higher heart rate variability tend to have greater interoceptive awareness. This study provides information on interoceptive awareness, which is emphasized in recent occupational therapy and sensory integration practices, and deepens the understanding of neurophysiological mechanism of sensory integration.

• Progress in Medical Physics
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• v.14 no.4
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• pp.211-217
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• 2003

The Principal component analysis (PCA) is a well-known data analysis method that is useful in linear feature extraction and data compression. The PCA is a linear transformation that applies an orthogonal rotation to the original data, so as to maximize the retained variance. PCA is a classical technique for obtaining an optimal overall mapping of linearly dependent patterns of correlation between variables (e.g. neurons). PCA provides, in the mean-squared error sense, an optimal linear mapping of the signals which are spread across a group of variables. These signals are concentrated into the first few components, while the noise, i.e. variance which is uncorrelated across variables, is sequestered in the remaining components. PCA has been used extensively to resolve temporal patterns in neurophysiological recordings. Because the retinal signal is stochastic process, PCA can be used to identify the retinal spikes. With excised rabbit eye, retina was isolated. A piece of retina was attached with the ganglion cell side to the surface of the microelectrode array (MEA). The MEA consisted of glass plate with 60 substrate integrated and insulated golden connection lanes terminating in an 8${\times}$8 array (spacing 200 $\mu$m, electrode diameter 30 $\mu$m) in the center of the plate. The MEA 60 system was used for the recording of retinal ganglion cell activity. The action potentials of each channel were sorted by off­line analysis tool. Spikes were detected with a threshold criterion and sorted according to their principal component composition. The first (PC1) and second principal component values (PC2) were calculated using all the waveforms of the each channel and all n time points in the waveform, where several clusters could be separated clearly in two dimension. We verified that PCA-based waveform detection was effective as an initial approach for spike sorting method.

• Korean Journal of Biological Psychiatry
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• v.5 no.1
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• pp.34-45
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• 1998

We provide the reader with a brief introduction to the neurobiology of neuropeptides. Several comprehensive reviews of the distribution and neurochemical, neurophysiological, neuropharmacological and behavioral effects of the major neuropeptides have recently appeared. In reviews of the large number of neuropeptides in brain and their occurance in brain regions thought to be involved in the pathogenesis of major psychiatric disorders, investigators have sought to determine whether alternations in neuropeptide systems are associated with schizophrenia, mood disorders, anxiety disorders, alcoholism and neurodegenerative disease. There is no longer any doubt that neuropeptide-containing neurons are altered in several neuropsychiatric disorders. One of the factors that has hindered neuropeptide research to a considerable extent is the lack of pharmacological agents that specifically alter the synaptic availability of neuropeptides. With the exception of naloxone and naltrexone, the opiate-receptor antagonists, there are few available neuropeptide- receptor antagonists. Two independent classes of neuropeptide-receptor antagonists has been expected to be clinically useful. Naltrexone, a potent ${\mu}$-receptor antagonist, has been used successfully to reduce the need for alcohol consumption. And cholecycstokinin antagonists are now in development as a new class of anxiolytics, which would be expected to be free from tolerance and physical dependence and lack of sedation. In this review, we deal with these two kinds of neuropeptide system, the opioid system and cholesystokinins in the brain. The role of opioid systems in the reinforcement after alcohol consumtion and that of cholesystokinins in the pathogenesis of anxiety will be discussed briefly. As we know, the future for neuropeptides in psychiatry remains bright indeed.

• Korean Journal of Cognitive Science
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• v.27 no.4
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• pp.573-597
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• 2016

Recent fMRI and EEG research for neural representations of action concepts insist that processing of action concepts evoke the simulation of sensory-motor information. Moreover, there are several behavioral studies showing that understanding of action verbs or sentences describing actions interfere or facilitate current action performance. However, it is unclear that online interaction between processing of action concepts and current action is based on the simulation of sensory-motor information, or other neural mechanisms. The present research aims to explore the underlying neural mechanism that how the perception of action language influence the performance of current action using high-spacial temporal resolution EEG and multiple source analysis techniques. For this, participants were asked to perform a cued-motor reaction task in which button-pressing hand action and pedal-stepping foot action were required according to the color of the cue, and we presented auditorily action verbs describing the responding actions (i.e., /press/, /step/, /stop/) just before the color cue and examined the interaction effect from the semantic congruency between the action verbs and the current action. Behavioral results revealed consistently a facilitatory effect when action verbs and responding actions were semantically congruent in both button-pressing and pedal-stepping actions, and an inhibitory effect when semantically incongruent in the button-pressing action condition. In the results of EEG source waveform analysis, the semantic congruency effects between action verbs and the responding actions were observed in the Wernicke's area during the perception of action verbs, in the anterior cingulate gyrus and the supplementary motor area (SMA) at the time when the motor-cue was presented, and in the SMA and primary motor cortex (M1) during action execution stage. Based on the current findings, we argue that perceived action verbs evoke the facilitation/inhibition effect by influencing the expectation and preparation stage of following actions rather than the directly activating the particular motor cortex. Finally we discussed the implication on the neural representation of action concepts and methodological limitations of the current research.

• The Korean Journal of Nuclear Medicine
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• v.25 no.1
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• pp.6-16
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• 1991

Regional cerebral blood flow (rCBF) was evaluated in 12 children ranging in age from 2.7 to 10.0 yr using $^{99m}Tc-HMPAO$ SPECT. For quantitative analysis, 13 pairs of homologous regions of interest (ROIs) were created on three attenuation-corrected 18.8 mm thick transverse slices matching the cerebral cortical regions, deep gray matter, cerebellar hemisphere, and vascular territories, and the semiquantitative indices including "right to left ratio" [(mean count/voxel of homologous right ROI) / (mean count/voxel of homologous left ROI)] and "regional index"(RI) [(mean count/voxel of a ROI)/ (mean count/voxel of all ROIs of each hemisphere)] were calculated. Mean values of right to left ratios of homologous regions ranged from 0.984 to 1.028 in children under 5 yr (group 1) and from 0.982 to 1.012 in children between 5 and 10 yr (group 2), and the mean $value{\pm}2S.D.$ for each region did not exceed 11% and 12% in group 1 and group 2, respectively. There were no statistically significant differences between the RIs of the homologous right and left regions. Significant differences of RIs were found both between vascular regions (p<0.0005 for goup 1, and p=0.0001 for goup 2) and between regions of cerebral cortices (p<0.0005 for group 1, and p<0.005 for group 2) with a relatively high value in the occipital cortex and the lower values in the cerebellum and deep gray matter among the regions of cerebral cortices in both groups. There were no significant differences between the RIs of corresponding regions of group 1 and group 2, except a significantly higher value of right deep gray matter in group 2 than in group 1(p=0.0301). The RIs of the superior frontal cortex and deep gray matter showed to be positively correlated with age (superior frontal cortex; right: rs=0.5254, p=0.0814, left : rs=0.5919, p=0.0496/deep gray matter; right: rs=0.8246, p=0.0062, left: rs=0.6266, p=0.0377). The results suggest that the rCBF pattern of children approaches that of adults in an accipito-rostral direction. This time course of rCBF changes is in agreement with behavioral, neurophysiological, and anatomical alterations known to occur in the developing brain.

• Journal of The Korean Association For Science Education
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• v.33 no.6
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• pp.1154-1169
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• 2013

The present work was performed to find behavioral characteristics of elementary school students corresponding to the motivation system on science learning (SL-BIS/BAS; Behavioral Inhibition/Activation System about Science Learning) in the observation situation. Eye-tracking was used for this study, which is one of the neurophysiological methods. The findings of present study were as follows: First, students who have sensitive motivation system to SL-BIS (SL-BIS group) showed meaningfully shorter fixation duration the whole time during an observation task than students who have sensitive motivation system to SL-BAS (SL-BAS group) (p<.05). Total fixation counts of SL-BIS group were significantly larger than SL-BAS group and it indicates that SL-BIS group often generated new fixations. Therefore, fixation duration per count of SL-BAS group was longer than that of SLBIS group. Second, we studied fixations in situations with movement corresponding to the motivation system on science learning. SL-BIS group and SL-BAS group exhibited similar fixation duration in the study task segment with movement, which is one of the stimulus attracting students. However, for the study task segment when the movement was finished, total fixation duration and fixation duration per count of SL-BAS group were meaningfully longer than those of SL-BIS group. Third, comparing fixation targets classified by factors of study task, SL-BIS group showed fixation on the target that is not important for the study task. But SL-BAS group concentrated on the target-related factor of the study task. The present work could be helpful in understanding students' characteristics corresponding to the motivation system on science learning in observation situation and for making a learning & teaching plan that is suitable to the feature of students.

• Sleep Medicine and Psychophysiology
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• v.8 no.2
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• pp.121-128
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• 2001

Objectives: In narcoleptic patients diagnosed with ICSD (international classification of sleep disorders, 1990) criteria, nocturnal polysomnography, and MSLT (multiple sleep latency test), we tried to find characteristic features of quantitative electroencephalography (QEEG) in a wakeful state. Methods: We compared eight drug-free narcoleptic patients with sex- and age-matched normal controls, using computerized electroencephalographic mapping technique and spectral analysis. Absolute power, relative power, interhemispheric asymmetry, interhemispheric and intrahemispheric coherence, and mean frequency in each frequency band (delta, theta, alpha and beta) were measured and analyzed. Results: Compared with normal controls, narcoleptic patients showed decrease in monopolar interhemispheric coherence of alpha frequency bands in occipital ($O_1/O_2$), parietal ($P_3/P_4$), and temporal ($T_5/T_6$) areas and beta frequency band in the occipital ($O_1/O_2$) area. Monopolar intrahemispheric coherences of alpha frequency bands in left hemispheric areas ($T_3/T_5$, $C_3/P_3$ & $F_3/O_1$) decreased. Decrease of monopolar interhemispheric asymmetry of delta frequency band in the occipital ($O_1/O_2$) area was also noted. The monopolar absolute powers of beta frequency bands decreased in occipital ($O_2,\;O_z$) areas. Conclusion: Decreases in coherences of narcoleptic patients compared with normal controls may indicate fewer posterior neocortical interhemispheric neuronal connections, and fewer left intrahemispheric neuronal connections than normal controls in a wakeful state. Therefore, we suggest that abnormal neurophysiological sites of narcolepsy may involve complex areas such as neocortex and subcortex as well as the brainstem.