The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism.
The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism.
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DOI：
10.1038/mp.2013.78
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发表时间：
2014-06
影响因子：
11
通讯作者：
Milham, M. P.
中科院分区：
文献类型：
--
作者：
Di Martino, A.;Yan, C-G;Li, Q.;Denio, E.;Castellanos, F. X.;Alaerts, K.;Anderson, J. S.;Assaf, M.;Bookheimer, S. Y.;Dapretto, M.;Deen, B.;Delmonte, S.;Dinstein, I.;Ertl-Wagner, B.;Fair, D. A.;Gallagher, L.;Kennedy, D. P.;Keown, C. L.;Keysers, C.;Lainhart, J. E.;Lord, C.;Luna, B.;Menon, V.;Minshew, N. J.;Monk, C. S.;Mueller, S.;Mueller, R. A.;Nebel, M. B.;Nigg, J. T.;O'Hearn, K.;Pelphrey, K. A.;Peltier, S. J.;Rudie, J. D.;Sunaert, S.;Thioux, M.;Tyszka, J. M.;Uddin, L. Q.;Verhoeven, J. S.;Wenderoth, N.;Wiggins, J. L.;Mostofsky, S. H.;Milham, M. P.
关键词：
自闭症谱系障碍(ASD)是精神病学和神经科学面临的一个巨大挑战，因为它们具有高患病率、终身性、复杂性和显著的异质性。面对这些障碍需要大规模的多学科努力。由于这些原因，遗传学领域开创了数据共享的先河，而神经成像却没有跟上步伐。作为回应，我们引入了自闭症脑成像数据交换(ABIT)--一个草根联盟，聚集并公开共享来自539名自闭症患者和573名年龄匹配的典型对照(TC；7-)(http://fcon_1000.projects.nitrc.org/indi/abide/).的1112个现有的静息状态功能磁共振成像(R-fMRI)数据集以及相应的结构磁共振和表型信息在这里，我们提出了这一资源，并基于360名患有ASD的男性和403名年龄匹配的男性TC的分析，证明了它对促进ASD神经生物学知识的适用性。我们专注于全脑内在功能连接，并调查了一系列内在功能大脑结构的体素测量。全脑分析调和了ASD文献中看似不同的低连接和高连接的主题；两者都被检测到，尽管连接不足占主导地位，特别是皮质-皮质和大脑半球之间的功能连接。使用一系列脑内在功能的区域指标进行的探索性分析集中在ASD的常见功能障碍部位(中叶和后叶脑岛、后扣带回皮质)，并突出了丘脑等较不常见的探索区域。对ABER R-fMRI数据集的调查提供了前所未有的复制和新发现的演示。通过汇集多个国际数据集，ABISE有望加快发现步伐，为下一代ASD研究奠定基础。
Autism spectrum disorders (ASD) represent a formidable challenge for psychiatry and neuroscience because of their high prevalence, life-long nature, complexity and substantial heterogeneity. Facing these obstacles requires large-scale multidisciplinary efforts. While the field of genetics has pioneered data sharing for these reasons, neuroimaging had not kept pace. In response, we introduce the Autism Brain Imaging Data Exchange (ABIDE) – a grassroots consortium aggregating and openly sharing 1112 existing resting-state functional magnetic resonance imaging (R-fMRI) datasets with corresponding structural MRI and phenotypic information from 539 individuals with ASD and 573 age-matched typical controls (TC; 7–64 years) (http://fcon_1000.projects.nitrc.org/indi/abide/). Here, we present this resource and demonstrate its suitability for advancing knowledge of ASD neurobiology based on analyses of 360 males with ASD and 403 male age-matched TC. We focused on whole-brain intrinsic functional connectivity and also survey a range of voxel-wise measures of intrinsic functional brain architecture. Whole-brain analyses reconciled seemingly disparate themes of both hypo and hyperconnectivity in the ASD literature; both were detected, though hypoconnectivity dominated, particularly for cortico-cortical and interhemispheric functional connectivity. Exploratory analyses using an array of regional metrics of intrinsic brain function converged on common loci of dysfunction in ASD (mid and posterior insula, posterior cingulate cortex), and highlighted less commonly explored regions such as thalamus. The survey of the ABIDE R-fMRI datasets provides unprecedented demonstrations of both replication and novel discovery. By pooling multiple international datasets, ABIDE is expected to accelerate the pace of discovery setting the stage for the next generation of ASD studies.
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影响因子：
16.2
作者：
Dinstein I;Heeger DJ;Lorenzi L;Minshew NJ;Malach R;Behrmann M
通讯作者：
Behrmann M
影响因子：
3.9
作者：
Gotham, Katherine;Pickles, Andrew;Lord, Catherine
通讯作者：
Lord, Catherine
DOI：
10.1176/appi.ajp.2009.08121894
发表时间：
2009-08
期刊：
The American journal of psychiatry
影响因子：
--
作者：
Di Martino A;Shehzad Z;Kelly C;Roy AK;Gee DG;Uddin LQ;Gotimer K;Klein DF;Castellanos FX;Milham MP
通讯作者：
Milham MP
影响因子：
14.5
作者：
Gotts, Stephen J.;Simmons, W. Kyle;Martin, Alex
通讯作者：
Martin, Alex
使用磁共振成像和扩散张量纤维束成像检测自闭症患者胼胝体连接异常
影响因子：
2.3
作者：
Hong, Shanshan;Ke, Xiaoyan;Liu, Yijun
通讯作者：
Liu, Yijun