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注意缺陷多动障碍功能大脑默认模式网络中的层次综合和分离加工。

Hierarchical integrated and segregated processing in the functional brain default mode network within attention-deficit/hyperactivity disorder.

机构信息

State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi'an Jiaotong University, Xi'an, China.

School of Aerospace Engineering, Xi'an Jiaotong University, Xi'an, China.

出版信息

PLoS One. 2019 Sep 12;14(9):e0222414. doi: 10.1371/journal.pone.0222414. eCollection 2019.

DOI:10.1371/journal.pone.0222414
PMID:31513664
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6742360/
Abstract

The hierarchical modular organization of functional networks in the brain is crucial for supporting diverse cognitive functions. Functional disorders in the brain are associated with an abnormal hierarchical modular organization. The default mode network (DMN) is a complex dynamic network that is linked to specialized cognitive functions and clinically relevant information. In this study, we hypothesize that hierarchical functional segregation and integration of the DMN within attention-deficit/hyperactivity disorder (ADHD) is abnormal. We investigated topological metrics of both segregation and integration in different hierarchical subnetworks of the DMN between patients with ADHD and healthy controls. We found that the hierarchical functional integration and segregation of the DMN decreased and increased, respectively, in ADHD. Our results also indicated that the abnormalities in the DMN are intrinsically caused by changes in functional segregation and integration in its higher-level subnetworks. To better understand the temporally dynamic changes in the hierarchical functional integration and segregation of the DMN within ADHD, we further analyzed the dynamic transitions between functional segregation and integration. We found that the adaptive reorganizational ability of brain network states decreased in ADHD patients, which indicated less adaptive regulation between the DMN subnetworks in ADHD for supporting correspondingly normal cognitive function. From the perspective of hierarchical functional segregation and integration, our results further provide evidence to support dysfunctional brain cognitive functions within ADHD linked to brain network segregation and integration.

摘要

大脑功能网络的层次模块化组织对于支持多样化的认知功能至关重要。大脑的功能障碍与异常的层次模块化组织有关。默认模式网络（DMN）是一个复杂的动态网络，与专门的认知功能和临床相关信息有关。在这项研究中，我们假设注意缺陷多动障碍（ADHD）患者的 DMN 内部的层次功能分离和整合是异常的。我们研究了 ADHD 患者和健康对照组之间 DMN 不同层次子网中分离和整合的拓扑度量。我们发现，ADHD 中 DMN 的层次功能整合和分离分别降低和增加。我们的结果还表明，DMN 的异常是由其更高层次子网中功能分离和整合的变化内在引起的。为了更好地理解 ADHD 中 DMN 的层次功能整合和分离的时间动态变化，我们进一步分析了功能分离和整合之间的动态转换。我们发现，ADHD 患者的大脑网络状态的自适应重组能力降低，这表明 ADHD 患者的 DMN 子网之间的适应性调节能力降低，无法支持相应的正常认知功能。从层次功能分离和整合的角度来看，我们的结果进一步提供了证据，支持与大脑网络分离和整合相关的 ADHD 中大脑认知功能的功能障碍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6daa/6742360/3f03c4c88ddf/pone.0222414.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6daa/6742360/5229ed9a001d/pone.0222414.g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6daa/6742360/150abdd02549/pone.0222414.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6daa/6742360/7b4f56ba6798/pone.0222414.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6daa/6742360/91371a73ba50/pone.0222414.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6daa/6742360/3f03c4c88ddf/pone.0222414.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6daa/6742360/5229ed9a001d/pone.0222414.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6daa/6742360/b26b37ab7d5f/pone.0222414.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6daa/6742360/7681ed30189e/pone.0222414.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6daa/6742360/150abdd02549/pone.0222414.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6daa/6742360/7b4f56ba6798/pone.0222414.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6daa/6742360/91371a73ba50/pone.0222414.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6daa/6742360/3f03c4c88ddf/pone.0222414.g007.jpg

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