Brain network mechanisms of visual shape completion.
Brain network mechanisms of visual shape completion.
复制标题
DOI：
10.1016/j.neuroimage.2021.118069
复制
发表时间：
2021-08-01
期刊：
影响因子：
5.7
通讯作者：
Cole MW
中科院分区：
文献类型：
--
作者：
Keane BP;Barch DM;Mill RD;Silverstein SM;Krekelberg B;Cole MW
视觉形状完成恢复对象的形状，大小和数量从空间隔离的边缘。尽管被广泛研究，但该过程的潜在大脑区域，网络和功能连接仍然没有得到很好的理解。为了阐明这一主题，我们扫描了（fMRI）健康成年人在休息和在一项任务中，他们区分吃豆人的配置，形成或未能形成完整的形状（虚幻和碎片的条件，分别）。任务激活差异（illusory-fragmented），休息状态的功能连接，和多元模式的皮质表面上确定使用360个预定义的包裹和12个功能网络组成的这些包裹。脑活动流图（ActFlow）被用来评估形状完成的静息状态连接的可能参与。我们确定了36个差异活跃的包裹，包括后颞区，PH，其活动在95%的观察者中是一致的。重要的任务区域主要占据了次级视觉网络，但也纳入了额顶叶背侧注意，默认模式，扣带-鳃盖网络。每个包裹的任务激活差异可以通过其与其余包裹的静息状态连接来建模（r= 0.62，p<10−9），这表明这种连接支持网格形状完成。背侧注意网络的功能连接是模拟次级视觉网络中任务激活差异的关键。背侧注意力和额顶叶连接也可以模拟其余网络的激活。总之，这些结果表明，形状完成依赖于一个稀疏分布，但密集互连的网络联盟，是在次要视觉网络为中心，协调的背侧注意力网络，并包括至少三个其他网络。
Visual shape completion recovers object shape, size, and number from spatially segregated edges. Despite being extensively investigated, the process’s underlying brain regions, networks, and functional connections are still not well understood. To shed light on the topic, we scanned (fMRI) healthy adults during rest and during a task in which they discriminated pac-man configurations that formed or failed to form completed shapes (illusory and fragmented condition, respectively). Task activation differences (illusory-fragmented), resting-state functional connectivity, and multivariate patterns were identified on the cortical surface using 360 predefined parcels and 12 functional networks composed of such parcels. Brain activity flow mapping (ActFlow) was used to evaluate the likely involvement of resting-state connections for shape completion. We identified 36 differentially-active parcels including a posterior temporal region, PH, whose activity was consistent across 95% of observers. Significant task regions primarily occupied the secondary visual network but also incorporated the frontoparietal dorsal attention, default mode, and cingulo-opercular networks. Each parcel’s task activation difference could be modeled via its resting-state connections with the remaining parcels (r=.62, p<10−9), suggesting that such connections undergird shape completion. Functional connections from the dorsal attention network were key in modelling task activation differences in the secondary visual network. Dorsal attention and frontoparietal connections could also model activations in the remaining networks. Taken together, these results suggest that shape completion relies upon a sparsely distributed but densely interconnected network coalition that is centered in the secondary visual network, coordinated by the dorsal attention network, and inclusive of at least three other networks.
登录
查看更多内容
影响因子：
5.7
作者：
Ji JL;Spronk M;Kulkarni K;Repovš G;Anticevic A;Cole MW
通讯作者：
Cole MW
DOI：
10.1073/pnas.1310806110
发表时间：
2013-10-15
影响因子：
11.1
作者：
Cox, Michele A.;Schmid, Michael C.;Maier, Alexander
通讯作者：
Maier, Alexander
影响因子：
3.7
作者：
Esteban, Oscar;Birman, Daniel;Gorgolewski, Krzysztof J.
通讯作者：
Gorgolewski, Krzysztof J.
影响因子：
2
作者：
Ciaramelli, Elisa;Leo, Fabrizio;Ladavas, Elisabetta
通讯作者：
Ladavas, Elisabetta
DOI：
10.1111/j.2517-6161.1995.tb02031.x
发表时间：
1995-01-01
影响因子：
5.8
作者：
BENJAMINI, Y;HOCHBERG, Y
通讯作者：
HOCHBERG, Y