Department of Neuroimaging, Centre of Bio-Medical Research, Sanjay Gandhi Postgraduate Institute of Medical Sciences Campus, Lucknow, Uttar Pradesh, 226014, India.
Department of Psychiatry, King George Medical University, Lucknow, India.
Brain Imaging Behav. 2021 Feb;15(1):157-165. doi: 10.1007/s11682-019-00242-0.
Resting-state functional magnetic resonance imaging (rsfMRI) is a novel approach that has the potential to examine abnormalities in the default mode network (DMN) component. Two different approaches were used in the present study to characterize the functional connectivities of various DMN components in 16 non-medicated ADHD and a similar number of TD (typically developing) children. rsfMRI data were analysed using independent component analysis (ICA) and region-of-interest (ROI) seed to voxel correlation analysis. ICA results indicated a strong coherence of the left dorsal anterior cingular cortex (dACC) with the DMN components in children with ADHD. In addition, seed-to-voxel functional connectivity analysis using the left dorsal anterior cingulate as a seed region suggested higher temporal coherence with other neural networks upon comparison with TD children. These results imply children with ADHD exhibit a higher dispersed resting state connectivity pattern in DMN and other networks.
静息态功能磁共振成像(rsfMRI)是一种新的方法，有潜力检查默认模式网络(DMN)成分的异常。本研究采用了两种不同的方法来描述 16 名非药物治疗的 ADHD 儿童和数量相当的 TD(正常发育)儿童的各种 DMN 成分的功能连接。使用独立成分分析(ICA)和感兴趣区(ROI)种子到体素相关分析对 rsfMRI 数据进行分析。ICA 结果表明，ADHD 儿童左侧背侧前扣带皮层(dACC)与 DMN 成分之间具有很强的一致性。此外，使用左侧背侧前扣带作为种子区域的种子到体素功能连接分析表明，与 TD 儿童相比，与其他神经网络的时间一致性更高。这些结果表明，ADHD 儿童在 DMN 和其他网络中表现出更高的分散静息状态连接模式。
