Xiaoya Wu, Chuang Liang, Juan Bustillo, Peter Kochunov, Xuyun Wen, Jing Sui, Rongtao Jiang, Xiao Yang, Zening Fu, Daoqiang Zhang, Vince D. Calhoun, Shile Qi
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引用次数: 0
Abstract
Neuropsychiatric disorders are associated with altered functional connectivity (FC); however, the reported regional patterns of functional alterations suffered from low replicability and high variability. This is partly because of differences in the atlas and delineation techniques used to measure FC-related deficits within/across disorders. We systematically investigated the impact of the brain parcellation approach on the FC-based brain network analysis. We focused on identifying the replicable FCs using three structural brain atlases, including Automated Anatomical Labeling (AAL), Brainnetome atlas (BNA) and HCP_MMP_1.0, and four functional brain parcellation approaches: Yeo-Networks (Yeo), Gordon parcel (Gordon) and two Schaefer parcelletions, among correlation, group difference, and classification tasks in six neuropsychiatric disorders: attention deficit and hyperactivity disorder (ADHD, n = 340), autism spectrum disorder (ASD, n = 513), schizophrenia (SZ, n = 200), schizoaffective disorder (SAD, n = 142), bipolar disorder (BP, n = 172), and major depression disorder (MDD, n = 282). Our cross-atlas/disorder analyses demonstrated that frontal-related FC deficits were reproducible in all disorders, independent of the atlasing approach; however, replicable FC extraction in other areas and the classification accuracy were affected by the parcellation schema. Overall, functional atlases with finer granularity performed better in classification tasks. Specifically, the Schaefer atlases generated the most repeatable FC deficit patterns across six illnesses. These results indicate that frontal-related FCs may serve as potential common and robust neuro-abnormalities across 6 psychiatric disorders. Furthermore, in order to improve the replicability of rsfMRI-based FC analyses, this study suggests the use of functional templates at larger granularity.
神经精神疾病与功能连接改变(FC)有关;然而,报告的区域功能改变模式具有低可复制性和高变异性。这在一定程度上是因为用于测量疾病内/间fc相关缺陷的图谱和描绘技术的差异。我们系统地研究了脑包裹化方法对基于神经网络的脑网络分析的影响。利用自动解剖标记(AAL)、脑组图谱(BNA)和HCP_MMP_1.0三种脑结构图谱,以及杨网络(Yeo)、戈登包裹(Gordon)和两个Schaefer包裹四种脑功能包裹方法,在6种神经精神疾病的相关性、组差异性和分类任务中,重点识别可复制的FCs。注意缺陷和多动障碍(ADHD, n = 340)、自闭症谱系障碍(ASD, n = 513)、精神分裂症(SZ, n = 200)、分裂情感障碍(SAD, n = 142)、双相情感障碍(BP, n = 172)和重度抑郁症(MDD, n = 282)。我们的跨图谱/疾病分析表明,在所有疾病中,与额叶相关的FC缺陷都是可重复的,与图谱方法无关;但是,分割模式对其他区域FC提取的可复制性和分类精度有一定的影响。总体而言,粒度更细的功能地图集在分类任务中表现更好。具体来说,Schaefer图谱在六种疾病中产生了最可重复的FC缺陷模式。这些结果表明,额叶相关的FCs可能是6种精神疾病中潜在的常见和强大的神经异常。此外,为了提高基于rsfmri的FC分析的可重复性,本研究建议使用更大粒度的功能模板。
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.