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我们如何为行为定义的障碍建立生物学标志物？自闭症作为一个测试案例。

How do we establish a biological marker for a behaviorally defined disorder? Autism as a test case.

出版信息

Autism Res. 2011 Aug;4(4):239-41. doi: 10.1002/aur.204. Epub 2011 Jun 24.

DOI:10.1002/aur.204
PMID:21710504
Abstract

We discuss the recent push to develop support vector machines and other cluster analyses as a means for biological signatures as early screens for autism. These methods not only hold great promise but also require careful consideration prior to implementation. We outline three validity tests and potential methods for addressing them.

摘要

我们讨论了最近推动开发支持向量机和其他聚类分析作为自闭症早期筛查的生物学特征的方法。这些方法不仅有很大的前景，而且在实施之前需要仔细考虑。我们概述了三个有效性测试和潜在的解决方法。

相似文献

1
How do we establish a biological marker for a behaviorally defined disorder? Autism as a test case.我们如何为行为定义的障碍建立生物学标志物？自闭症作为一个测试案例。
Autism Res. 2011 Aug;4(4):239-41. doi: 10.1002/aur.204. Epub 2011 Jun 24.
2
Toddler autism screening questionnaire: development and potential clinical validity.幼儿自闭症筛查问卷：编制与潜在临床效度。
Autism. 2012 Jul;16(4):340-9. doi: 10.1177/1362361311429694. Epub 2012 Mar 7.
3
Screening for autism in young children: The Modified Checklist for Autism in Toddlers (M-CHAT) and other measures.幼儿自闭症筛查：改良版幼儿自闭症检查表（M-CHAT）及其他方法。
Ment Retard Dev Disabil Res Rev. 2005;11(3):253-62. doi: 10.1002/mrdd.20072.
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Screening for autism: agreement with diagnosis.自闭症筛查：与诊断结果的一致性。
Autism. 2006 May;10(3):229-42. doi: 10.1177/1362361306063288.
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Autism spectrum disorder in Down syndrome: definition of the cutoff point for the autism screening questionnaire screening instrument.唐氏综合征中的自闭症谱系障碍：自闭症筛查问卷筛查工具临界点的定义
J Dev Behav Pediatr. 2010 Oct;31(8):684. doi: 10.1097/DBP.0b013e3181f4a067.
6
Magnetic resonance imaging in autism: preliminary report.自闭症的磁共振成像：初步报告。
Neuropediatrics. 1989 Aug;20(3):142-6. doi: 10.1055/s-2008-1071280.
7
Screening strategies for autism spectrum disorders in pediatric primary care.儿科初级保健中自闭症谱系障碍的筛查策略。
J Dev Behav Pediatr. 2008 Oct;29(5):345-50. doi: 10.1097/DBP.0b013e31818914cf.
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A screening instrument for autism at 18 months of age: a 6-year follow-up study.一项针对18个月大儿童的自闭症筛查工具：一项为期6年的随访研究。
J Am Acad Child Adolesc Psychiatry. 2000 Jun;39(6):694-702. doi: 10.1097/00004583-200006000-00007.
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Re: Screening strategies for autism spectrum disorder in pediatric primary care.关于：儿科初级保健中自闭症谱系障碍的筛查策略。
J Dev Behav Pediatr. 2009 Apr;30(2):174; author reply 174-5. doi: 10.1097/DBP.0b013e31819f1c2b.
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Checklist for autism in toddlers.幼儿自闭症检查表。
Ir Med J. 2001 Sep;94(8):254.

引用本文的文献

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Volume-based and Surface-Based Methods in Autism Compared with Healthy Controls Are Free surfer and CAT12 in Agreement?与健康对照组相比，自闭症中基于体积和基于表面的方法：FreeSurfer和CAT12是否一致？
Iran J Child Neurol. 2024 Winter;18(1):93-118. doi: 10.22037/IJCN.V18i1.43294. Epub 2024 Jan 18.
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Assessing Predictive Ability of Dynamic Time Warping Functional Connectivity for ASD Classification.评估动态时间规整功能连接对自闭症谱系障碍分类的预测能力。
Int J Biomed Imaging. 2023 Oct 25;2023:8512461. doi: 10.1155/2023/8512461. eCollection 2023.
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Diagnosis of Autism Spectrum Disorders in Young Children Based on Resting-State Functional Magnetic Resonance Imaging Data Using Convolutional Neural Networks.
基于卷积神经网络的静息态功能磁共振成像数据对幼儿孤独症谱系障碍的诊断。
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Combination of rs-fMRI and sMRI Data to Discriminate Autism Spectrum Disorders in Young Children Using Deep Belief Network.基于深度置信网络的 rs-fMRI 与 sMRI 数据联合分析在儿童孤独症谱系障碍中的鉴别诊断
J Digit Imaging. 2018 Dec;31(6):895-903. doi: 10.1007/s10278-018-0093-8.
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Progress and roadblocks in the search for brain-based biomarkers of autism and attention-deficit/hyperactivity disorder.自闭症和注意缺陷多动障碍的脑生物标志物研究进展与障碍。
Transl Psychiatry. 2017 Aug 22;7(8):e1218. doi: 10.1038/tp.2017.164.
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Functional connectivity classification of autism identifies highly predictive brain features but falls short of biomarker standards.自闭症的功能连接分类可识别出具有高度预测性的大脑特征，但未达到生物标志物标准。
Neuroimage Clin. 2014 Dec 24;7:359-66. doi: 10.1016/j.nicl.2014.12.013. eCollection 2015.
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Use of Machine Learning to Identify Children with Autism and Their Motor Abnormalities.利用机器学习识别自闭症儿童及其运动异常情况。
J Autism Dev Disord. 2015 Jul;45(7):2146-56. doi: 10.1007/s10803-015-2379-8.
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Autism biomarkers: challenges, pitfalls and possibilities.自闭症生物标志物：挑战、陷阱与可能性
J Autism Dev Disord. 2015 Apr;45(4):1103-13. doi: 10.1007/s10803-014-2225-4.
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Neurobiological abnormalities in the first few years of life in individuals later diagnosed with autism spectrum disorder: a review of recent data.自闭症谱系障碍患者生命早期的神经生物学异常：近期数据综述。
Behav Neurol. 2014;2014:210780. doi: 10.1155/2014/210780. Epub 2014 Feb 9.