Resting-State Functional Connectivity in Autism Spectrum Disorders: A Review.

Resting-State Functional Connectivity in Autism Spectrum Disorders: A Review.
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DOI:
10.3389/fpsyt.2016.00205
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发表时间:
2016
影响因子:
4.7
通讯作者:
Van Horn JD
Van Horn JD
中科院分区:
医学3区
文献类型:
--
作者:
Hull JV;Dokovna LB;Jacokes ZJ;Torgerson CM;Irimia A;Van Horn JD

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关于自闭症患者大脑的内在连接是如何改变的,在静息态功能性MRI(fMRI)文献中存在持续的争论,报告了一般的过度连接,连接不足和/或两者的组合。使用大脑连接对自闭症进行分类是复杂的,因为这种情况的异质性,允许患有这种疾病的个体之间存在广泛变化的连接模式。报告结果的进一步差异可能归因于参与者的年龄和性别,静息状态扫描的设计以及用于评估数据的分析技术。这篇综述系统地研究了迄今为止的静息态功能磁共振成像自闭症文献,并比较研究,试图得出目前具有挑战性的总体结论。我们还提出了未来的方向rs-fMRI用于自闭症谱系障碍的个人分类,作为一种可能的诊断工具,并最好地利用数据共享的举措。
Ongoing debate exists within the resting-state functional MRI (fMRI) literature over how intrinsic connectivity is altered in the autistic brain, with reports of general over-connectivity, under-connectivity, and/or a combination of both. Classifying autism using brain connectivity is complicated by the heterogeneous nature of the condition, allowing for the possibility of widely variable connectivity patterns among individuals with the disorder. Further differences in reported results may be attributable to the age and sex of participants included, designs of the resting-state scan, and to the analysis technique used to evaluate the data. This review systematically examines the resting-state fMRI autism literature to date and compares studies in an attempt to draw overall conclusions that are presently challenging. We also propose future direction for rs-fMRI use to categorize individuals with autism spectrum disorder, serve as a possible diagnostic tool, and best utilize data-sharing initiatives.
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