Auditory Brainstem Response in a Child with Mitochondrial Disorder-Leigh Syndrome.

IF 2.6 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Proceedings of the Vldb Endowment Pub Date : 2024-02-01 Epub Date: 2023-07-27 DOI:10.1007/s12070-023-03971-3
P S Pooja, R Greeshma, Emin K Joy, Shreyank P Swamy
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引用次数: 0

Abstract

The mitochondrial disorder-Leigh syndrome is a neurodegenerative disorder often manifested with brainstem abnormalities. The case report highlights the auditory brainstem response in a child with medical findings suggestive of Leigh syndrome. The case report also emphasizes the importance of ruling out any underlying neural pathology before making a clinical impression in children with developmental delays.

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一名患有线粒体疾病-Leigh 综合征的儿童的听觉脑干反应。
线粒体疾病--利综合征是一种神经退行性疾病,通常表现为脑干异常。本病例报告重点介绍了一名儿童的听觉脑干反应,其医学检查结果提示患有莱氏综合征。该病例报告还强调了在对发育迟缓儿童做出临床印象之前排除任何潜在神经病变的重要性。
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来源期刊
Proceedings of the Vldb Endowment
Proceedings of the Vldb Endowment Computer Science-General Computer Science
CiteScore
7.70
自引率
0.00%
发文量
95
期刊介绍: The Proceedings of the VLDB (PVLDB) welcomes original research papers on a broad range of research topics related to all aspects of data management, where systems issues play a significant role, such as data management system technology and information management infrastructures, including their very large scale of experimentation, novel architectures, and demanding applications as well as their underpinning theory. The scope of a submission for PVLDB is also described by the subject areas given below. Moreover, the scope of PVLDB is restricted to scientific areas that are covered by the combined expertise on the submission’s topic of the journal’s editorial board. Finally, the submission’s contributions should build on work already published in data management outlets, e.g., PVLDB, VLDBJ, ACM SIGMOD, IEEE ICDE, EDBT, ACM TODS, IEEE TKDE, and go beyond a syntactic citation.
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Auditory Brainstem Response in a Child with Mitochondrial Disorder-Leigh Syndrome. Breathing New Life into an Old Tree: Resolving Logging Dilemma of B + -tree on Modern Computational Storage Drives QO-Insight: Inspecting Steered Query Optimizers A Learned Query Rewrite System Demonstrating ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Joins via Reinforcement Learning
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