• 제목/요약/키워드: Neuroimaging

검색결과 216건 처리시간 0.028초

하지불안증후군이 중추신경계 질환임을 시사하는 임상적, 신경영상학적, 신경생리학적 증거들에 관하여 (Clinical, Neuroimaging and Neurophysiologic Evidences of Restless Legs Syndrome as a Disorder of Central Nervous System)

  • 정기영
    • Annals of Clinical Neurophysiology
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    • 제10권2호
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    • pp.98-100
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    • 2008
  • Restless legs syndrome (RLS) is a sensorimotor neurological disorder in which the primary symptom is a compelling urge to move the legs, accompanied by unpleasant and disturbing sensations in the legs. Although pathophysiologic mechanism of RLS is still unclear, several evidences suggest that RLS is related to dysfunction in central nervous system involving brain and spinal cord. L-DOPA, as the precursor of dopamine, as well as dopamine agonists, plays an essential role in the treatment of RLS leading to the assumption of a key role of dopamine function in the pathophysiology of RLS. Patients with RLS have lower levels of dopamine in the substantia nigra and respond to iron administration. Iron, as a cofactor in dopamine production, plays a central role in the etiology of RLS. Functional neuroimaging studies using PET and SPECT support a central striatal D2 receptor abnormality in the pathophysiology of RLS. Functional MRI suggested a central generator of periodic limb movements during sleep (PLMs) in RLS. However, to date, we have no direct evidence of pathogenic mechanisms of RLS.

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Cerebral fat embolism syndrome: diagnostic challenges and catastrophic outcomes: a case series

  • Hussein A.Algahtani;Bader H. Shirah;Nawal Abdelghaffar;Fawziah Alahmari;Wajd Alhadi;Saeed A. Alqahtani
    • Journal of Yeungnam Medical Science
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    • 제40권2호
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    • pp.207-211
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    • 2023
  • Fat embolism syndrome is a rare but alarming, life-threatening clinical condition attributed to fat emboli entering the circulation. It usually occurs as a complication of long-bone fractures and joint reconstruction surgery. Neurological manifestations usually occur 12 to 72 hours after the initial insult. These neurological complications include cerebral infarction, spinal cord ischemia, hemorrhagic stroke, seizures, and coma. Other features include an acute confusional state, autonomic dysfunction, and retinal ischemia. In this case series, we describe three patients with fat embolism syndrome who presented with atypical symptoms and signs and with unusual neuroimaging findings. Cerebral fat embolism may occur without any respiratory or dermatological signs. In these cases, diagnosis was established after excluding other differential diagnoses. Neuroimaging using brain magnetic resonance imaging is of paramount importance in establishing a diagnosis. Aggressive hemodynamic and respiratory support from the beginning and consideration of orthopedic surgical intervention within the first 24 hours after trauma are critical to decreased morbidity and mortality.

노년기의 마음이론: 신경인지적 접근 (Theory of Mind in Old Age: A Review from a Neurocognitive Perspective)

  • 박민
    • 한국노년학
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    • 제30권3호
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    • pp.743-757
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    • 2010
  • 마음이론이란 자기 자신과 타인의 믿음, 바람, 의도와 같은 마음 상태를 추론하는 능력을 가리킨다. 마음이론에 대한 대다수의 연구는 아동과 자폐증 환자에 초점을 맞춘 것이었으나 정상적인 노화 과정을 겪고 있는 노인과 치매 노인을 대상으로 한 연구도 이루어지고 있다. 본 논문에서는 마음이론의 노화에 대한 기존 연구 결과들을 개관하고 신경영상 기법의 활용과 실생활에 근거한 마음이론 측정 과제의 적용과 같은 향후 연구 방향을 제안한다. 아직까지 마음이론 능력의 노화가 다른 인지적 측면과 어떻게 관련되어 있는가와 같은 문제에 대해 논쟁이 이루어지고 있기는 하지만 마음이론의 관점에 근거한 노화 연구는 노인의 인지적 기능과 사회적 기능에 대한 이해를 증진시킬 것으로 기대된다.

허혈성 뇌졸중의 진단, 치료 및 예후 예측에 대한 기계 학습의 응용: 서술적 고찰 (Machine learning application in ischemic stroke diagnosis, management, and outcome prediction: a narrative review)

  • 은미연;전은태;정진만
    • Journal of Medicine and Life Science
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    • 제20권4호
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    • pp.141-157
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    • 2023
  • Stroke is a leading cause of disability and death. The condition requires prompt diagnosis and treatment. The quality of care provided to patients with stroke can vary depending on the availability of medical resources, which in turn, can affect prognosis. Recently, there has been growing interest in using machine learning (ML) to support stroke diagnosis and treatment decisions based on large medical data sets. Current ML applications in stroke care can be divided into two categories: analysis of neuroimaging data and clinical information-based predictive models. Using ML to analyze neuroimaging data can increase the efficiency and accuracy of diagnoses. Commercial software that uses ML algorithms is already being used in the medical field. Additionally, the accuracy of predictive ML models is improving with the integration of radiomics and clinical data. is expected to be important for improving the quality of care for patients with stroke.

행동증상 아형 전측두엽 치매 표현형모사 증후군 (Behavioral Variant Frontotemporal Dementia Phenocopy Syndrome)

  • 전진숙
    • 정신신체의학
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    • 제25권1호
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    • pp.3-11
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    • 2017
  • 연구목적 소위 '행동증상 아형 전두측두엽 치매 표현형모사 증후군(behavioral variant frontotemporal dementia phenocopy syndrome)' 환자들은 일차성 정신장애와 감별이 힘들고, 기존의 치료 약물에 대한 반응도 회의적이어서, 오진의 위험과 법적 문제의 유발 가능성이 높으므로, 이러한 양상을 보이는 환자군에 대한 지속적인 관심과 연구가 필요함을 환기 시키기 위해서 본 연구를 시행하였다. 방법 2000년 부터 2016년 까지 발행된 영문 학술지에 게재된 논문을 인터넷에서 'frontotemporal', 'phenocopy', 'behavioral'과 같은 단어의 조합으로 검색하여 찾은 참고문헌을 정리, 고찰하였다. 또한 저자가 직접 경험한 두 증례를 간략히 기술하였다. 결과 환자의 행동 증상은 가족과 지역사회에 큰 영향을 끼치므로 행동증상 아형 전두측두엽 치매에서 정확한 진단이 중요하다. 그러나, 행동증상 아형 전두측두엽 치매에서 현재까지 질병 수정 치료법은 개발되지 않았으며, 현재의 약물학적 치료는 특수한 증상에 도움이 될 뿐이고, 적절한 정신의학적 치료에도 불구하고 점진적인 퇴행이 진행된다. 상당수의 '행동증상 아형 전두측두엽 치매 의심(possible bvFTD)' 환자에서 임상적으로 '행동증상 아형 전두측두엽 치매 가능(probable bvFTD)'으로 진행되지 않으며, 인지기능이나 사회적 기능이 저하되지 않고, 활동 기능의 저하를 보이지 않으며, 생존기간이 조금 더 길고, 수년에 걸쳐서 정상적인 뇌영상화 검사 소견을 보인다. 결론 환전두측두엽 치매 및 일차성 정신장애 환자에서 보이는 전형적인 임상적 양상이나 경과, 뇌영상화 검사를 포함한 진단적 평가와는 다른 비전형적인 소견을 보이는 환자군들은 생각보다 많으며, 정신의학과 의사들이 이에 대한 의학적 지식과 판별 능력이 발전되면, 그 발견의 비율은 훨씬 더 높아질 것이다. 그러나, 현재로서는 이러한 비전형적인 환자군의 정체에 대해서는 이견이 많으며, 향후 적극적인 연구가 행해져야할 분야이다.

자동화 프로그램을 이용한 아동의 전체두개강내용적 평가 (Total Intracranial Volume Measurement for Children by Using an Automatized Program)

  • 이정환;김지은;임성진;주가원;김시경;손정우;신철진;이상익;김혜리
    • 생물정신의학
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    • 제21권3호
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    • pp.81-86
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    • 2014
  • Objectives Total intracranial volume (TIV) is a major nuisance of neuroimaging research for interindividual differences of brain structure and function. Authors intended to prove the reliability of the atlas scaling factor (ASF) method for TIV estimation in FreeSurfer by comparing it with the results of manual tracing as reference method. Methods The TIVs of 26 normal children and 26 children with attention-deficit hyperactivity disorder (ADHD) were obtained by using FreeSurfer reconstruction and manual tracing with T1-weighted images. Manual tracing performed in every 10th slice of MRI dataset from midline of sagittal plane by one researcher who was blinded from clinical data. Another reseacher performed manual tracing independently for randomly selected 20 dataset to verify interrater reliability. Results The interrater reliability was excellent (intraclass coefficient = 0.91, p < 7.1e-07). There were no significant differences of age and gender distribution between normal and ADHD groups. No significant differences were found between TIVs from ASF method and manual tracing. Strong correlation between TIVs from 2 different methods were shown (r = 0.90, p < 2.2e-16). Conclusions The ASF method for TIV estimation by using FreeSurfer showed good agreement with the reference method. We can use the TIV from ASF method for correction in analysis of structural and functional neuroimaging studies with not only elderly subjects but also children, even with ADHD.

소아 두통의 임상적 접근 (Clinical Approach to Headache in Childhood)

  • 채수안
    • Clinical and Experimental Pediatrics
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    • 제48권4호
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    • pp.349-354
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    • 2005
  • Headache is a common complaint in pediatric office practices as well as in children presenting to emergency departments. Children who complain of headache usually are brought to medical attention by their parents, who seek reassurance that the headaches are not a sign of a serious illness. The etiologies of headache range from school problems to brain tumors. A history taking, physical examination, and appropriate diagnostic testing will enable to distinguish primary headaches from those of a secondary etiology. The clinical, neuroimaging, and laboratory evaluation of the child with headache are reviewed here.

외상성 뇌손상의 영상진단 (Neuroimaging of Traumatic Brain Injury)

  • 최우석
    • 생물정신의학
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    • 제2권2호
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    • pp.169-176
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    • 1995
  • 두부 외상은 많은 발생율과 사망율을 차지하고 있으며, 건강한 생활을 위해 큰 관심을 갖게 되었다. 신경방사선영상은 외상성 뇌손상 환자들의 진단과 치료에 필수적인 방법이다. 뇌손상의 기본 기전, 병리, 그리고 영상 소견을 이해 하는 것은 매우 중요하다. 1970년대에 Glasgow coma scale의 형상과 전산화단층촬영(CT)의 발달은 임상의사들이 두부외상에 대한 평가와 환자들의 경과를 예상하는데 극적인 변화를 주었다. 최근 자기공명영상(MRI)의 발달로 외상성 뇌손상의 형태를 더욱 이해 하게 되었고, 두부 외상의 발견율이 높아지게 되었다.

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불안의 신경생물학 (Neurobiology of Anxiety)

  • 류성곤;한창환
    • 생물정신의학
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    • 제8권1호
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    • pp.71-78
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    • 2001
  • The current understanding of the neurobiology of anxiety is generally based on experimental animal model, empirical effective psychopharmacological agents, chemical and naturalistic challenge paradigms, and psychoendocinological assessment. This article focuses on reviewing neuroanantomical, neuroendocinological and neurofunctional research of anxiety disorder. In the decade ahead, we anticipate that extension of current research and the new integrated approach promise novel insight into mechanism of anxiety.

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Brain Computer Interfacing: A Multi-Modal Perspective

  • Fazli, Siamac;Lee, Seong-Whan
    • Journal of Computing Science and Engineering
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    • 제7권2호
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    • pp.132-138
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    • 2013
  • Multi-modal techniques have received increasing interest in the neuroscientific and brain computer interface (BCI) communities in recent times. Two aspects of multi-modal imaging for BCI will be reviewed. First, the use of recordings of multiple subjects to help find subject-independent BCI classifiers is considered. Then, multi-modal neuroimaging methods involving combined electroencephalogram and near-infrared spectroscopy measurements are discussed, which can help achieve enhanced and robust BCI performance.