利用多模态融合的功能和结构磁共振成像分析发育中的大脑纵向变化模式

IF 3.5 2区 医学 Q1 NEUROIMAGING
Rekha Saha, Debbrata K. Saha, Zening Fu, Marlena Duda, Rogers F. Silva, Tony W. Wilson, Yu-Ping Wang, Julia M. Stephen, Vince D. Calhoun
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引用次数: 0

摘要

功能和结构磁共振成像(fMRI和sMRI)是可用于研究青少年纵向大脑变化的互补方法。每一种模式都提供了对大脑的不同见解。然而,每一种单独的模式都可能忽略大脑分析的关键方面。通过将它们结合起来,我们可以发现隐藏的大脑联系,并获得更全面的理解。在以前的工作中,我们确定了青春期全脑功能变化的多变量模式。在这项工作中,我们的重点是将功能变化模式(fcp)与大脑结构联系起来。我们介绍了两种方法,并将它们应用于青少年大脑和认知发展(ABCD)数据集的数据。首先,我们评估体素级sMRI- FCP对称$$ {FCP}_{asym} $$耦合,以识别与我们先前识别的FCP相关的结构模式。我们的方法揭示了功能网络连接(FNC)和灰质体积(GMV)数据中多个有趣的模式,这些模式与受试者水平的变化有关。FCP asy$$ {FCP}_{asym} $$组件2和4在其加载和体素GMV数据之间表现出广泛的关联。其次,我们利用了一种对称的多模态融合技术,称为多集典型相关分析(mCCA) +联合独立分量分析(jICA)。使用这种方法,我们确定了结构化的fcp系统$$ {FCPs}_{sym} $$,例如视觉和感觉运动域之间的连接增加,感觉运动域和认知控制域之间的连接减少。与结构改变模式(scp系统$$ {SCPs}_{sym} $$)有关,包括双侧感觉运动皮层的改变。有趣的是,女性比男性表现出更强的大脑功能和结构变化之间的联系,突出了与性别相关的差异。非对称和对称多模态融合方法的综合结果强调了神经动力学中复杂的性别特异性细微差别。通过利用两种互补的多模态方法,我们的研究增强了我们对青少年时期全脑连接和结构演变本质的理解,揭示了青少年大脑发育的微妙过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Analysis of Longitudinal Change Patterns in Developing Brain Using Functional and Structural Magnetic Resonance Imaging via Multimodal Fusion

Analysis of Longitudinal Change Patterns in Developing Brain Using Functional and Structural Magnetic Resonance Imaging via Multimodal Fusion

Functional and structural magnetic resonance imaging (fMRI and sMRI) are complementary approaches that can be used to study longitudinal brain changes in adolescents. Each individual modality offers distinct insights into the brain. However each individual modality may overlook crucial aspects of brain analysis. By combining them, we can uncover hidden brain connections and gain a more comprehensive understanding. In previous work, we identified multivariate patterns of change in whole-brain function during adolescence. In this work, we focus on linking functional change patterns (FCPs) to brain structure. We introduced two approaches and applied them to data from the adolescent brain and cognitive development (ABCD) dataset. First, we evaluate voxel-wise sMRI- FCP asym $$ {FCP}_{asym} $$ coupling to identify structural patterns linked to our previously identified FCPs. Our approach revealed multiple interesting patterns in functional network connectivity (FNC) and gray matter volume (GMV) data that were linked to subject-level variation. FCP asym $$ {FCP}_{asym} $$ components 2 and 4 exhibit extensive associations between their loadings and voxel-wise GMV data. Secondly, we leveraged a symmetric multimodal fusion technique called multiset canonical correlation analysis (mCCA) + joint independent component analysis (jICA). Using this approach, we identified structured FCPs sym $$ {FCPs}_{sym} $$ such as one showing increased connectivity between visual and sensorimotor domains and decreased connectivity between sensorimotor and cognitive control domains, linked to structural change patterns ( SCPs sym $$ {SCPs}_{sym} $$ ) including alterations in the bilateral sensorimotor cortex. Interestingly, females show stronger connection between brain functional and structural changes than males, highlighting gender-related differences. The combined results from both asymmetric and symmetric multimodal fusion methods underscore the intricate gender-specific nuances in neural dynamics. By utilizing two complementary multimodal approaches, our study enhances our understanding of the evolving nature of whole brain connectivity and structure during the adolescent period, shedding light on the nuanced processes underlying adolescent brain development.

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来源期刊
Human Brain Mapping
Human Brain Mapping 医学-核医学
CiteScore
8.30
自引率
6.20%
发文量
401
审稿时长
3-6 weeks
期刊介绍: Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged. Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.
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