Autism spectrum disorder-specific changes in white matter connectome edge density based on functionally defined nodes.
Autism spectrum disorder-specific changes in white matter connectome edge density based on functionally defined nodes.
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DOI：
10.3389/fnins.2023.1285396
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发表时间：
2023
影响因子：
4.3
通讯作者：
Payabvash, Seyedmehdi
中科院分区：
文献类型：
--
作者：
Weber, Clara F.;Lake, Evelyn M. R.;Haider, Stefan P.;Mozayan, Ali;Bobba, Pratheek S.;Mukherjee, Pratik;Scheinost, Dustin;Constable, Robert T.;Ment, Laura;Payabvash, Seyedmehdi
自闭症谱系障碍（ASD）与功能和微观结构连接体破坏有关。我们部署了一种新的方法，使用功能定义的节点，以指导白色物质（WM）纤维束成像，并确定ASD相关的微结构连接体的变化在整个生命周期。我们使用了国家自闭症研究数据库（NDAR）中四项研究的弥散张量成像和临床数据，包括155名婴儿，102名幼儿，230名青少年和96名年轻人-其中264名（45%）被诊断为ASD。我们应用先前功能磁共振成像研究中的皮质节点识别与症状严重程度评分相关的区域，并使用这些种子构建WM纤维束作为连接体边缘密度（艾德）图。使用逐体素和基于束的分析评估所得到的艾德图的组间差异。然后，我们研究了ASD诊断与由不同灵敏度阈值产生的功能节点驱动的艾德的关联。在功能引导纤维束造影的艾德中，我们确定了婴儿ASD相关变化（pFDR ≤ 0.001-0.483）。总体而言，基于与ASD正相关的功能节点，在艾德中可检测到更广泛的ASD相关差异，而不是与ASD负相关，功能节点的更严格阈值导致婴儿中ASD的相关性更强（z = −6.413至6.666，pFDR ≤ 0.001-0.968）。体素分析显示，广泛的艾德减少中央WM束的幼儿，青少年和成人。我们发现早期的异常WM发展的婴儿ASD时，功能成像定义的皮质节点的微结构连接体艾德地图。当应用结构定义的节点时，这些并不明显，这表明功能引导的DTI纤维束成像可以帮助识别早期ASD相关的WM在以后的生活中表现出异常连接模式的皮质区域之间的中断。此外，我们的研究结果表明，在基于扩散成像的概率纤维束成像中涉及功能信息节点的好处，并强调不同年龄组可以从年龄和大脑发育适应的图像处理协议中受益。
Autism spectrum disorder (ASD) is associated with both functional and microstructural connectome disruptions. We deployed a novel methodology using functionally defined nodes to guide white matter (WM) tractography and identify ASD-related microstructural connectome changes across the lifespan. We used diffusion tensor imaging and clinical data from four studies in the national database for autism research (NDAR) including 155 infants, 102 toddlers, 230 adolescents, and 96 young adults – of whom 264 (45%) were diagnosed with ASD. We applied cortical nodes from a prior fMRI study identifying regions related to symptom severity scores and used these seeds to construct WM fiber tracts as connectome Edge Density (ED) maps. Resulting ED maps were assessed for between-group differences using voxel-wise and tract-based analysis. We then examined the association of ASD diagnosis with ED driven from functional nodes generated from different sensitivity thresholds. In ED derived from functionally guided tractography, we identified ASD-related changes in infants (pFDR ≤ 0.001–0.483). Overall, more wide-spread ASD-related differences were detectable in ED based on functional nodes with positive symptom correlation than negative correlation to ASD, and stricter thresholds for functional nodes resulted in stronger correlation with ASD among infants (z = −6.413 to 6.666, pFDR ≤ 0.001–0.968). Voxel-wise analysis revealed wide-spread ED reductions in central WM tracts of toddlers, adolescents, and adults. We detected early changes of aberrant WM development in infants developing ASD when generating microstructural connectome ED map with cortical nodes defined by functional imaging. These were not evident when applying structurally defined nodes, suggesting that functionally guided DTI-based tractography can help identify early ASD-related WM disruptions between cortical regions exhibiting abnormal connectivity patterns later in life. Furthermore, our results suggest a benefit of involving functionally informed nodes in diffusion imaging-based probabilistic tractography, and underline that different age cohorts can benefit from age- and brain development-adapted image processing protocols.
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DOI：
10.1093/cercor/bhaa365
发表时间：
2021-03-31
期刊：
Cerebral cortex (New York, N.Y. : 1991)
影响因子：
--
作者：
Changeux JP;Goulas A;Hilgetag CC
通讯作者：
Hilgetag CC
影响因子：
4.7
作者：
Beggiato, Anita;Peyre, Hugo;Delorme, Richard
通讯作者：
Delorme, Richard
影响因子：
11
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.
通讯作者：
Milham, M. P.
影响因子：
25.8
作者：
Aoki, Yuta;Yoncheva, Yuliya N.;Di Martino, Adriana
通讯作者：
Di Martino, Adriana
影响因子：
3.9
作者：
de Figueiredo, Felipe A. P.;Mennes, Ruben;Moerman, Ingrid
通讯作者：
Moerman, Ingrid