Differences in Disrupted Dynamic Functional Network Connectivity Among Children, Adolescents, and Adults With Attention Deficit/Hyperactivity Disorder: A Resting-State fMRI Study.

Differences in Disrupted Dynamic Functional Network Connectivity Among Children, Adolescents, and Adults With Attention Deficit/Hyperactivity Disorder: A Resting-State fMRI Study.
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患有注意力缺陷/多动症的儿童、青少年和成人之间动态功能网络连接中断的差异:静息态功能磁共振成像研究

DOI:
10.3389/fnhum.2021.697696
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发表时间:
2021
影响因子:
2.9
通讯作者:
Biswal B
Biswal B
中科院分区:
医学3区
文献类型:
--
作者:
Agoalikum E;Klugah-Brown B;Yang H;Wang P;Varshney S;Niu B;Biswal B

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注意缺陷多动障碍(ADHD)是最普遍的精神障碍之一,通常从童年持续到成年,其症状随年龄而变化。在这项研究中,我们旨在通过静息状态功能磁共振成像(rs-fMRI)数据确定成人,青少年和儿童ADHD的中断动态功能网络连接差异,该数据包括35名儿童(8.64±0.81岁),40名青少年(14.11±1.83岁)和39名成年人(31.59±10.13岁)。我们假设功能连接是随时间变化的,并且在三个年龄组之间存在网络内部和网络之间的连接差异。利用群ICA识别了9个功能网络,并基于动态功能网络连通性(dFNC)模式识别了3种fc状态。计算时间分数、平均停留时间、跃迁概率、入度和出度来测量状态动力学。包括DMN、SN和FPN在内的高阶网络和包括SMN、VN、SC和AUD在内的低阶网络经常分布在所有州,并且在三个年龄组之间显示出连接差异。我们的研究结果暗示异常的动态互动和连接障碍与不同的ADHD相关,这些异常在三个ADHD年龄组之间有所不同。鉴于当前研究中三组之间的dFNC差异,我们的工作进一步为年龄差异在ADHD病理生理中的作用机制提供了新的见解,并可能为未来在各个年龄组的病例对照研究奠定基础,以及为制定针对每个年龄组这些特定网络的治疗策略提供指导。
Attention deficit hyperactivity disorder (ADHD) is one of the most widespread mental disorders and often persists from childhood to adulthood, and its symptoms vary with age. In this study, we aim to determine the disrupted dynamic functional network connectivity differences in adult, adolescent, and child ADHD using resting-state functional magnetic resonance imaging (rs-fMRI) data consisting of 35 children (8.64 ± 0.81 years), 40 adolescents (14.11 ± 1.83 years), and 39 adults (31.59 ± 10.13 years). We hypothesized that functional connectivity is time-varying and that there are within- and between-network connectivity differences among the three age groups. Nine functional networks were identified using group ICA, and three FC-states were recognized based on their dynamic functional network connectivity (dFNC) pattern. Fraction of time, mean dwell time, transition probability, degree-in, and degree-out were calculated to measure the state dynamics. Higher-order networks including the DMN, SN, and FPN, and lower-order networks comprising the SMN, VN, SC, and AUD were frequently distributed across all states and were found to show connectivity differences among the three age groups. Our findings imply abnormal dynamic interactions and dysconnectivity associated with different ADHD, and these abnormalities differ between the three ADHD age groups. Given the dFNC differences between the three groups in the current study, our work further provides new insights into the mechanism subserved by age difference in the pathophysiology of ADHD and may set the grounds for future case-control studies in the individual age groups, as well as serving as a guide in the development of treatment strategies to target these specific networks in each age group.
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