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低频波动揭示了大脑半球之间的集成和分离处理。

Low frequency fluctuations reveal integrated and segregated processing among the cerebral hemispheres.

机构信息

Phyllis Green and Randolph Cōwen Institute for Pediatric Neuroscience at the NYU Langone Medical Center, New York, NY 10016, USA.

出版信息

Neuroimage. 2011 Jan 1;54(1):517-27. doi: 10.1016/j.neuroimage.2010.05.073. Epub 2010 Jun 4.

Abstract

Resting-state functional magnetic resonance imaging (fMRI) has provided a novel approach for examining interhemispheric interaction, demonstrating a high degree of functional connectivity between homotopic regions in opposite hemispheres. However, heterotopic resting-state functional connectivity (RSFC) remains relatively uncharacterized. In the present study, we examine non-homotopic regions, characterizing heterotopic RSFC and comparing it to intrahemispheric RSFC, to examine the impact of hemispheric separation on the integration and segregation of processing in the brain. Resting-state fMRI scans were acquired from 59 healthy participants to examine inter-regional correlations in spontaneous low frequency fluctuations in BOLD signal. Using a probabilistic atlas, we correlated probability-weighted time series from 112 regions (56 per hemisphere) distributed throughout the entire cerebrum. We compared RSFC for pairings of non-homologous regions located in different hemispheres (heterotopic connectivity) to RSFC for the same pairings when located within hemisphere (intrahemispheric connectivity). For positive connections, connectivity strength was greater within each hemisphere, consistent with integrated intrahemispheric processing. However, for negative connections, RSFC strength was greater between the hemispheres, consistent with segregated interhemispheric processing. These patterns were particularly notable for connections involving frontal and heteromodal regions. The distribution of positive and negative connectivity was nearly identical within and between the hemispheres, though we demonstrated detailed regional variation in distribution. We discuss implications for leading models of interhemispheric interaction. The future application of our analyses may provide important insight into impaired interhemispheric processing in clinical and aging populations.

摘要

静息态功能磁共振成像(fMRI)为研究大脑两半球间相互作用提供了一种新方法,显示了对侧大脑半球同源区域之间具有高度的功能连接。然而,大脑两半球间的异质静息态功能连接(RSFC)仍相对不明确。在本研究中,我们检查了非同源区域,以描绘异质 RSFC,并将其与半球内 RSFC 进行比较,以研究半球分离对大脑信息处理的整合和分离的影响。我们采集了 59 名健康参与者的静息态 fMRI 扫描,以检查自发低频脑血氧水平依赖信号波动的区域间相关性。我们使用概率图谱,对分布于整个大脑的 112 个区域(每个半球 56 个)的概率加权时间序列进行相关性分析。我们将位于不同半球的非同源区域对(异质连接)之间的 RSFC 与位于同一半球内的相同配对之间的 RSFC 进行比较(半球内连接)。对于正连接,每个半球内的连接强度更大,这与整合的半球内处理一致。然而,对于负连接,半球间的 RSFC 强度更大,这与分离的大脑两半球间处理一致。这些模式在涉及额部和异模态区域的连接中尤为明显。正连接和负连接的分布在半球内和半球间几乎相同,尽管我们在分布上显示了详细的区域变化。我们讨论了这些发现对大脑两半球间相互作用的主要模型的意义。我们的分析方法的未来应用可能会为临床和老年人群中大脑两半球间信息处理受损提供重要的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c4c/3134281/6c0f2a04e72d/nihms287172f1.jpg

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