• Journal of Yeungnam Medical Science
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• v.11 no.1
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• pp.63-71
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• 1994

The purpose of this study was to evaluate the effect of stroke on hypothalamic-pituitary axis using dexamethasone suppression test. The effects were evaluated according to age, sex, type, size, and lesion site of stroke. These tests were performed in 62 patients with stroke(cerebral infarction, 42 cases : intracerebral hemorrage, 20 cases) and 21 disabled controlled patients without intracranial diseases at Yeungnam University Hospital from June 1992 to June 1993. The results summarized as follows. 1. Cerebral infarction showed significantly higher frequency of DST non-suppression in stroke patients than control(p<0.05). 2. Patients with left hemisphere stroke showed more frequent abnormal neuroendocrine test results(p<0.01) 3. Patients with large infarction revealed strongly non-suppressed DST results(p<0.01). 4. Sinificantly higher basal cortisol level in patients with cerebral infarction was noted(p<0.01). 5. There are no statistical significance between DST results and sex, age, motor impairment, type of cerebral infarction.

• Journal of Yeungnam Medical Science
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• v.18 no.1
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• pp.67-74
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• 2001

Background: Meralgia paresthetica(MP) which is characterized by paresthesias and sensory impairment without motor weakness in the anterolateral aspects of the thigh is produced by compression of the lateral femoral cutaneous nerve(LFCN). Even though the diagnosis of MP is mostly based on the clinical symptoms, electrophysiologic study is mandatory to confirm the disease objectively. It has been known that Somatosensory evoked potential(SSEP) study of LFCN is a simple and very useful method to evaluate MP, so we studied SSEP of LFCN in normal adults and offer normal values. Materials and Methods: Thirty six normal adults(23 males and 13 females) ages from 21 to 73 years old($mean{\pm}SD$:$42.06{\pm}15.74$) were studied SSEP of LFCN bilaterally. The stimulation site was anterolateral aspect of thighs and the recording site was Cz'. Results: The mean values($mean{\pm}SD$) of $LP_0$, $SP_0$, $LN_1$ and $SN_1$ of all subjects were 35.10(${\pm}2.42$), 33.80(${\pm}2.4$), 43.68(${\pm}1.88$) and 42.16(${\pm}2.12$) and the mean values($mean{\pm}SD$ of $DP_0$, $DN_1$ and DA(${\mu}V{\pm}SD$ were 1.30(${\pm}1.14$), 1.52(${\pm}1.38$) and 0.32(${\pm}0.33$). Conclusion: For the diagnosis of MP. comparison of latency difference between both sides is more reliable than simple value of latency itself because of individual differences of body types. According to our results. the latency difference should be less than 2 msec and the amplitude difference was less than 1.6 times in normal adults.

• Korean Journal of Clinical Laboratory Science
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• v.51 no.2
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• pp.198-204
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• 2019

Various treatments can be attempted in patients with intractable epilepsy, in whom the symptoms of seizures are not controlled by various drugs. On the other hand, in patients requiring a surgical method, a preoperative examination is needed to determine the portion of seizure site to be resected. Electrodes are inserted into the cerebral cortex for accurate lesion measurements and safe operation. The electrodes inserted in the cortex not only record the electroencephalography (EEG), but also allow various tests to confirm the function of the part. One of these methods is the evoked potential test. From January 2015 to December 2018, the trends of measured waveforms in were analyzed 70 patients. The somatosensory evoked potential (SSEP) recorded on the electrode inserted in the cerebral cortex can be searched for the pathway of the central sulcus to avoid the primary motor area and primary sensory area. In addition, using the middle latency auditory evoked potentials (MLAEP) and flash visual evoked potentials (FVEP), the functional cortex in the auditory cortex and the visual cortex were compared with the seizure focus point on the EEG to help determine the location of the ablation and minimize functional impairment after surgery.

• Journal of Biomedical Engineering Research
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• v.42 no.4
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• pp.150-158
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• 2021

Intracranial hemorrhage (ICH) refers to acute bleeding inside the intracranial vault. Not only does this devastating disease record a very high mortality rate, but it can also cause serious chronic impairment of sensory, motor, and cognitive functions. Therefore, a prompt and professional diagnosis of the disease is highly critical. Noninvasive brain imaging data are essential for clinicians to efficiently diagnose the locus of brain lesion, volume of bleeding, and subsequent cortical damage, and to take clinical interventions. In particular, computed tomography (CT) images are used most often for the diagnosis of ICH. In order to diagnose ICH through CT images, not only medical specialists with a sufficient number of diagnosis experiences are required, but even when this condition is met, there are many cases where bleeding cannot be successfully detected due to factors such as low signal ratio and artifacts of the image itself. In addition, discrepancies between interpretations or even misinterpretations might exist causing critical clinical consequences. To resolve these clinical problems, we developed a diagnostic model predicting intracranial bleeding and its subtypes (intraparenchymal, intraventricular, subarachnoid, subdural, and epidural) by applying deep learning algorithms to CT images. We also constructed a visualization tool highlighting important regions in a CT image for predicting ICH. Specifically, 1) 27,758 CT brain images from RSNA were pre-processed to minimize the computational load. 2) Three different CNN-based models (ResNet, EfficientNet-B2, and EfficientNet-B7) were trained based on a training image data set. 3) Diagnosis performance of each of the three models was evaluated based on an independent test image data set: As a result of the model comparison, EfficientNet-B7's performance (classification accuracy = 91%) was a way greater than the other models. 4) Finally, based on the result of EfficientNet-B7, we visualized the lesions of internal bleeding using the Grad-CAM. Our research suggests that artificial intelligence-based diagnostic systems can help diagnose and treat brain diseases resolving various problems in clinical situations.

• Journal of Music and Human Behavior
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• v.19 no.2
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• pp.81-103
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• 2022

The effects of therapeutic instrumental music performance (TIMP) using a ukulele were examined in adults with central nervous system damage and impaired hand functions. The participants were three adults with neurological damage who participated in 30-min sessions twice a week over 6 weeks. Changes in hand function was measured by the Box and Block Test (BBT), the 9-Hole Peg Test (9-HPT), and the Jebsen-Taylor Hand Function Test (JTHFT). Following the intervention, all three participants showed increases in the BBT and 9-HPT scores, indicating positive changes in fine motor coordination and dexterity. In terms of the JTHFT, all three participants showed increases in the "writing" and "card flipping" subtask scores, indicating that the intervention was effective in improving more coordinated finger movements. All participants reported the satisfaction with the intervention. They also pointed out that they were motivated to play the ukulele and that following the intervention used their affected hand more frequently in daily activities. These findings suggest that TIMP with a ukulele for patients with central nervous system damage can have positive effects on their functional hand movements and motivate these patients to practice their rehabilitation exercises.

• Sleep Medicine and Psychophysiology
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• v.12 no.2
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• pp.122-132
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• 2005

Objectives: The objective of this study is to assess cognitive functions and their relationship with sleep symptoms in young narcoleptic patients. Methods: Eighteen young narcolepsy patients and 18 normal controls (age: 17-35 years old) were recruited. All narcolepsy patients had HLA $DQB_1$ *0602 allele and cataplexy. Several important areas of cognition were assessed by a battery of neuropsychological tests consisting of 13 tests: executive functions (e.g. cognitive set shifting, inhibition, and selective attention) through Wisconsin card sorting test, Trail Making A/B, Stroop test, Ruff test, Digit Symbol, Controlled Oral Word Association and Boston Naming Test; alertness and sustained attention through paced auditory serial addition test; verbal/nonverbal short-term memory and working memory through Digit Span and Spatial Span; visuospatial memory through Rey-Osterrieth complex figure test; verbal learning and memory through California verbal learning test; and fine motor activity through grooved pegboard test. Sleep symptoms in narcolepsy patients were assessed with Epworth sleepiness scale, Ullanlinna narcolepsy scale, multiple sleep latency test, and nocturnal polysomnography. Relationship between cognitive functions and sleep symptoms in narcolepsy patients was also explored. Results: Compared with normal controls, narcolepsy patients showed poor performance in paced auditory serial addition (2.0 s and 2.4 s), digit symbol tests, and spatial span (forward)(t=3.86, p<0.01; t=-2.47, p=0.02; t=-3.95, p<0.01; t=-2.22, p=0.03, respectively). There were no significant between-group differences in other neuropsychological tests. In addition, results of neuropsychological test in narcolepsy patients were not correlated with Epworth sleepiness scale score, Ullanlinna narcolepsy scale score and sleep variables in multiple sleep latency test or nocturnal polysomnography. Conclusion: The current findings suggest that young narcolepsy patients have impaired attention. In addition, impairment of attention in narcolepsy might not be solely due to sleep symptoms such as excessive daytime sleepiness.

• Radiation Oncology Journal
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• v.11 no.2
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• pp.249-258
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• 1993

Between March 1983 and December 1989, ninety-six patients with intracranial glioma were treated in the Department of Therapeutic Radiology, Kangnam St. Mary's Hospital, Catholic University Medical College. We retrospectively reviewed each case to evaluate variable factors influencing the treatment results and to develop an optimal therapy Policy. Median follow-up is 57 months (range: 31~133 months). Of the 96 patients, 60 $(63\%)$ were males and 36 $(37\%)$ were females. Ages ranged from 3 to 69 years (median 42 years). The most common presenting symtoms were headeche $(67\%)$ followed by cerebral motor and sensory discrepancy $(54\%),$ nausea and vomiting $(34\%),$ seizure $(19\%),$ mental change $(10\%)$ and memory and calculation impairment $(8\%).$ Eighty five $(88.5\%)$ patients all, except 11 $(11.5\%)$ brain stem lesions, were biopsy proven intracranial glioma. The distribution by histologic type was 64 astrocytomas $(75\%),$ 4 mixed oligoastrocytomas $(5\%),$ and 17 oligodendrogliomas $(20\%).$ Fourty nine patients $(58\%$ were grade I, II histology and 36 $(42\%)$ patients were grade III, IV histology. Of the 96 patients, 64 $(67\%)$ recieved postoperative RT and 32 $(33\%)$ were treated with primary radiotherapy. Gross total resection was peformed in 14 $(16\%)$ patients, subtotal resection En 29 $(34\%),$ partial resection in 21 $(25\%),$ and biopsy only in 21 $(25\%).$ Median survival time was 53 months (range 2~ 133 months), and 2- and, 5-year survival rate were $69\%,49\%$ respectively. 5-year survival rate by histologic grade was grade I, $70\%,$ grade II, $58\%,$ grade III, $28\%,$ and grade IV, $15\%.$ Multivariated analysis demonstrate that age at diagnosis (p=0.0121), Karnofsky performance Status (KPS) (p=0.0002), histologic grade (p=0.0001), postoperative radiation therapy (p=0.0278), surgical extent (p =0.024), cerebellar location of tumor (p=0.0095) were significant prognostic factors influencing on survival.