Cerebral paragonimiasis ad cerebral cysticercosis are two notorious parasitic infestations of the brain in Korea, of which diagnoses were not clarified yet clinically. The authors experienced 25 such parasitic brain diseases with their characteristic CT findings, and it was assumed that computed cosmography(CT scan) is the procedure of choice for the diagnosis of these parasitic brain diseases.
Brain Diseases ; Brain* ; Cysticercosis ; Diagnosis ; Korea* ; Paragonimiasis

The routine interictal electroencephalogram(EEG) continues to play an important role in the diagnosis and treatment of epilepsy. The clinical investigation of brain disease in the last decade has been marked by dramatic advances in functional imaging. magnetic resonance scanning and digitized EEG. Epilepsy is a disorder of electrical hyperirritability. The sensitivity and specificity of the EEG in the diagosis of epilepsy have been disputed. In this review, the type of EEG also the role of EEG in various clinical situations are summarized.
Brain Diseases ; Diagnosis* ; Electroencephalography* ; Epilepsy* ; Sensitivity and Specificity

Traumatic brain injury (TBI) could give rise to variable clinical manifestations based on the involved structures of our bodies. Although there are no structural abnormalities proven, the patients with mild TBI suffer from chronic dizziness and imbalance. Herein, I will discuss the visuo-vestibular interaction and neurotological finding in TBI, which could demonstrate the clue to the diagnosis and management in dizzy patients with TBI.
Brain Concussion ; Brain Injuries ; Diagnosis ; Dizziness ; Humans ; Vestibular Diseases

Humans ; Child ; Brain Diseases ; Influenza, Human/diagnosis* ; Influenza A virus

Arterial spin labeling (ASL) technique is a kind of perfusion functional magnetic resonance imaging method that is based on endogenous contrast, and it can measure cerebral blood flow (CBF) noninvasively. The ASL technique has advantages of noninvasiveness, simplicity and relatively lower costs so that it is more suitable for longitudinal studies compared with previous perfusion methods, such as positron emission tomography (PET), single photon emission computed tomography (SPECT), CT and the contrast agent based magnetic resonance perfusion imaging. This paper mainly discusses the current clinical applications of ASL in brain diseases as cerebrovascular diseases, brain tumors, Alzheimer's disease and epilepsy, etc.
Animals ; Brain Diseases ; diagnosis ; Brain Neoplasms ; diagnosis ; Cerebrovascular Circulation ; Cerebrovascular Disorders ; diagnosis ; Humans ; Magnetic Resonance Imaging ; methods ; Perfusion ; Spin Labels

Recently, it is reported that preganglionic oculomotor nerve palsies shows denervational supersensitive pupillary responses to dilute parasympathomimetic agents and this phenomenon is in inverse proportion to consciousness level. We measured pupillary diameters of 10 brain death patients(20 eyes) and 10 comatous patients (20 eyes). After we instilled 0.06% pilocarpine to patients that initial pupillary diameter is over 4.0mm(13 eyes in brain death group, 5 eyes in comatous group), we compared pupillary responses of two groups to evaluate whether this helps diagnosis of brain death. If pupillary diameter was changed over 25%(compared to initial diameter), we considered it positive. In comatous group, no one was positive. But in brain death group, 11 cases were positive(84.6%). It revealed significant difference statistically(P<0.05). Mean change of pupillary diameter to 0.06% pilocarpine was 0.46mm(9.35%) in comatous group, and 2.62mm(47.72%) in brain death group. With above results, we concluded that pupillary response to dilute parasympathomimetic agents is a useful indicator for diagnosis of brain death.
Brain Death* ; Brain* ; Consciousness ; Diagnosis ; Humans ; Oculomotor Nerve Diseases ; Parasympathomimetics ; Pilocarpine*

Dementia is defined as a primary decline of intellect and/or comportment due to a structural and chemical brain disease to the point that customary activities of daily living (ADLs) become compromised. Korean society is rapidly becoming an aging society where average age increases, and dementia is becoming more prevalent. Therefore, prevention, early detection, and proper management of dementia patients are health- and social-care priorities of Korean society. Neurorehabilitationist means a specialist for rehabilitative care of neurologically compromised patients including stroke, traumatic brain injury, degenerative brain disease, and dementia. However, the role of neurorehabilitationists for the diagnosis and treatment of dementia are not well established compared to that of neurologist and psychiatrist. Therefore, this article deals a role of neurorehabilitationist for proper management of patients with dementia in a way that preventing the functional deterioration as well as reduction of national welfare burden.
Activities of Daily Living ; Aging ; Brain Diseases ; Brain Injuries ; Dementia* ; Diagnosis ; Humans ; Psychiatry ; Specialization ; Stroke

Understanding of brain morphology and magnetic resonance image(MRI) is essential for accurate diagnosis and treatment of the brain diseases. As education tools, the cadaver dissection, plastic models, and neuroanatomy books have been used for understanding brain morphology; and the MRI films and radiology books have been used for understanding brain MRI. Recently, due to the popularization of powerful personal computers, computer programs compensating the conventional education tools have been used. But these computer programs have a disadvantage that it is not possible to visualize the details of brain morphology or to compare the corresponding sectioned specimens and MRI. Therefore, we attempted to make a computer program which could visualize not only the details of brain morphology but also the corresponding sectioned specimens and MRI by using the brains removed from Korean cadavers. Three brains were removed from Korean cadavers. With a brain, 122 MRI and 122 serially-sectioned specimens with an 1.4mm interval were acquired and inputted into the computer. Ten brain structures were segmented, and 83 fine structures were designated on the images. With two brains, 27 dissected specimens were acquired and inputted into the computer. One-hundred two fine structures were designated on the images. Based on these images, a computer program for understanding brain morphology and MRI was made. The computer program, which was made in this study, visualized the corresponding sectioned specimens, MRI, and segmented images after sectioning a brain horizontally or at any angles. In addition, the computer program visualized the images of dissected brain. This computer program is helpful to understand brain morphology and MRI. This computer program is expected to be used through CD-title or Internet as an educational tool for medical students and doctors.
Brain Diseases ; Brain* ; Cadaver ; Diagnosis ; Education ; Humans ; Internet ; Magnetic Resonance Imaging ; Microcomputers ; Neuroanatomy ; Plastics ; Students, Medical

Brain disorder recognition has becoming a promising area of study. In reality, some disorders share similar features and signs, making the task of diagnosis and treatment challenging. This paper presents a rigorous and robust computer aided diagnosis system for the detection of multiple brain abnormalities which can assist physicians in the diagnosis and treatment of brain diseases. In this system, we used energy of wavelet sub bands, textural features of gray level co-occurrence matrix and intensity feature of MR brain images. These features are ranked using Wilcoxon test. The composite features are classifi ed using back propagation neural network. Bayesian regulation is adopted to fi nd the optimal weights of neural network. The experimentation is carried out on datasets DS-90 and DS-310 of Harvard Medical School. To enhance the generalization capability of the network, fi vefold stratifi ed cross validation technique is used. The proposed system yields multi class disease classifi cation accuracy of 100% in diff erentiating 90 MR brain images into 18 classes and 97.81% in diff erentiating 310 MR brain images into 6 classes. The experimental results reveal that the composite features along with BPNN classifi er create a competent and reliable system for the identifi cation of multiple brain disorders which can be used in clinical applications. The Wilcoxon test outcome demonstrates that standard deviation feature along with energies of approximate and vertical sub bands of level 7 contribute the most in achieving enhanced multi class classifi cation performance results.
Brain Diseases ; Brain ; Dataset ; Diagnosis ; Generalization (Psychology) ; Magnetic Resonance Imaging ; Schools, Medical ; Weights and Measures

INTRODUCTIONRadiologists may encounter bilaterally symmetrical abnormalities of the basal ganglia on magnetic resonance imaging (MRI), typically in the context of diffuse systemic, toxic or metabolic diseases. A systematic approach and broad knowledge of pathology causing this uncommon group of conditions would be useful.

MATERIALS AND METHODSThis review uses illustrative images to highlight metabolic conditions, such as Leigh's syndrome, citrullinaemia, hypoglycaemia or carbon monoxide poisoning, as well as other causes of bilateral basal ganglia lesions such as osmotic myelinolysis, deep cerebral venous thrombosis and Creutzfeldt-Jakob disease.

RESULTSCareful assessment of radiological findings outside the basal ganglia, such as involvement of the cortex, white matter, thalamus and pons, together with clinical correlation, may be helpful in narrowing the differential diagnosis, and directing further radiological, biochemical or genetic investigations. Recent advances in MR technology have resulted in newer techniques including diffusion-weighted (DW) MR imaging and MR spectroscopy (MRS); these may be helpful if appropriately used.

CONCLUSIONSAbnormal MRI findings in the basal ganglia should not be interpreted in isolation. A systematic approach including DW MR imaging, MRS, and a broad knowledge of diffuse systemic, toxic or metabolic diseases is helpful.

Basal Ganglia Diseases ; diagnosis ; diagnostic imaging ; physiopathology ; Brain Diseases, Metabolic ; diagnosis ; diagnostic imaging ; Diagnosis, Differential ; Humans ; Magnetic Resonance Imaging ; Radiography