Previous studies on brain functional connectivity networks in children have mainly focused on changes in function in specific brain regions, as opposed to whole brain connectivity in healthy children. By analyzing the...Previous studies on brain functional connectivity networks in children have mainly focused on changes in function in specific brain regions, as opposed to whole brain connectivity in healthy children. By analyzing the independent components of activation and network connectivity between brain regions, we examined brain activity status and development trends in children aged 3 and 5 years. These data could provide a reference for brain function rehabilitation in children with illness or abnormal function. We acquired functional magnetic resonance images from 15 3-year-old children and 15 5-year-old children under natural sleep cond让ions. The participants were recruited from five kindergartens in the Nanshan District of Shenzhen City, China. The parents of the participants signed an informed consent form with the premise that they had been fully informed regarding the experimental protocol. We used masked independent component analysis and BrainNet Viewer software to explore the independent components of the brain and correlation connections between brain regions. We identified seven independent components in the two groups of children, including the executive control network, the dorsal attention network, the default mode network, the left frontoparietal network, the right frontoparietal network, the salience network, and the motor network. In the default mode network, the posterior cingulate cortex, medial frontal gyrus, and inferior parietal lobule were activated in both 3- and 5-year-old children, supporting the "three-brain region theory” of the default mode network. In the frontoparietal network, the frontal and parietal gyri were activated in the two groups of children, and functional connectivity was strengthened in 5-year-olds compared with 3-year-olds, although the nodes and network connections were not yet mature. The high-correlation network connections in the default mode networks and dorsal attention networks had been significantly strengthened in 5-year-olds vs. 3-year-olds. Further, the salience展开更多
It is not clear whether the method used in functional brain-network related research can be applied to explore the feature binding mechanism of visual perception. In this study, we inves-tigated feature binding of col...It is not clear whether the method used in functional brain-network related research can be applied to explore the feature binding mechanism of visual perception. In this study, we inves-tigated feature binding of color and shape in visual perception. Functional magnetic resonance imaging data were collected from 38 healthy volunteers at rest and while performing a visual perception task to construct brain networks active during resting and task states. Results showed that brain regions involved in visual information processing were obviously activated during the task. The components were partitioned using a greedy algorithm, indicating the visual network existed during the resting state.Z-values in the vision-related brain regions were calculated, conifrming the dynamic balance of the brain network. Connectivity between brain regions was determined, and the result showed that occipital and lingual gyri were stable brain regions in the visual system network, the parietal lobe played a very important role in the binding process of color features and shape features, and the fusiform and inferior temporal gyri were crucial for processing color and shape information. Experimental ifndings indicate that understanding visual feature binding and cognitive processes will help establish computational models of vision, improve image recognition technology, and provide a new theoretical mechanism for feature binding in visual perception.展开更多
目的探讨静息状态下抑郁障碍患者脑网络功能连接特征和强度。方法纳入抑郁障碍患者(抑郁障碍组)和健康被试(对照组),进行静息态功能磁共振(resting state functional magnetic resonance imaging,rs-fMRI)扫描。计算两组被试全脑度中心...目的探讨静息状态下抑郁障碍患者脑网络功能连接特征和强度。方法纳入抑郁障碍患者(抑郁障碍组)和健康被试(对照组),进行静息态功能磁共振(resting state functional magnetic resonance imaging,rs-fMRI)扫描。计算两组被试全脑度中心性(degree centrality,DC)值,进而计算其功能连接强度;采用支持向量机(support vector machine,SVM)方法探索异常的DC值是否对抑郁障碍有识别作用。结果抑郁障碍组26例患者和对照组37名对照纳入分析。相较于对照组,抑郁障碍组左侧额中回DC值降低(t=-4.98,P<0.05,GRF校正),而右侧颞中回(t=5.02,P<0.05,GRF校正)、右侧海马旁回(t=4.80,P<0.05,GRF校正)、右侧小脑后部(t=4.98,P<0.05,GRF校正)DC值增加。抑郁障碍组异常脑区DC值与17项-汉密尔顿抑郁量表、贝克抑郁量表得分无统计学相关性(P>0.05)。SVM分析结果显示,左侧额中回DC值降低区分抑郁障碍组和对照组的准确度为84.13%,敏感度为88.46%,特异度为81.08%,受试者操作特征曲线下面积为0.87。结论静息状态下抑郁障碍患者左侧额中回及右侧颞中回、右侧海马旁回、右侧小脑后部存在功能连接改变,左侧额中回功能连接强度变化可能对抑郁障碍的识别有提示作用。展开更多
基金supported by the Natural Science Foundation of Guangdong Province,No.2016A030313180(to FCJ)
文摘Previous studies on brain functional connectivity networks in children have mainly focused on changes in function in specific brain regions, as opposed to whole brain connectivity in healthy children. By analyzing the independent components of activation and network connectivity between brain regions, we examined brain activity status and development trends in children aged 3 and 5 years. These data could provide a reference for brain function rehabilitation in children with illness or abnormal function. We acquired functional magnetic resonance images from 15 3-year-old children and 15 5-year-old children under natural sleep cond让ions. The participants were recruited from five kindergartens in the Nanshan District of Shenzhen City, China. The parents of the participants signed an informed consent form with the premise that they had been fully informed regarding the experimental protocol. We used masked independent component analysis and BrainNet Viewer software to explore the independent components of the brain and correlation connections between brain regions. We identified seven independent components in the two groups of children, including the executive control network, the dorsal attention network, the default mode network, the left frontoparietal network, the right frontoparietal network, the salience network, and the motor network. In the default mode network, the posterior cingulate cortex, medial frontal gyrus, and inferior parietal lobule were activated in both 3- and 5-year-old children, supporting the "three-brain region theory” of the default mode network. In the frontoparietal network, the frontal and parietal gyri were activated in the two groups of children, and functional connectivity was strengthened in 5-year-olds compared with 3-year-olds, although the nodes and network connections were not yet mature. The high-correlation network connections in the default mode networks and dorsal attention networks had been significantly strengthened in 5-year-olds vs. 3-year-olds. Further, the salience
基金supported by the National Natural Science Foundation of China (No. 31971028, 31571111)Major Project of Medicine Science and Technology of PLA, China (No. AWS17J012)
基金financially supported by grants from the National Natural Science Foundation of China,No.61170136,61373101,61472270,and 61402318Natural Science Foundation(Youth Science and Technology Research Foundation)of Shanxi Province,No.2014021022-5Shanxi Provincial Key Science and Technology Projects(Agriculture),No.20130311037-4
文摘It is not clear whether the method used in functional brain-network related research can be applied to explore the feature binding mechanism of visual perception. In this study, we inves-tigated feature binding of color and shape in visual perception. Functional magnetic resonance imaging data were collected from 38 healthy volunteers at rest and while performing a visual perception task to construct brain networks active during resting and task states. Results showed that brain regions involved in visual information processing were obviously activated during the task. The components were partitioned using a greedy algorithm, indicating the visual network existed during the resting state.Z-values in the vision-related brain regions were calculated, conifrming the dynamic balance of the brain network. Connectivity between brain regions was determined, and the result showed that occipital and lingual gyri were stable brain regions in the visual system network, the parietal lobe played a very important role in the binding process of color features and shape features, and the fusiform and inferior temporal gyri were crucial for processing color and shape information. Experimental ifndings indicate that understanding visual feature binding and cognitive processes will help establish computational models of vision, improve image recognition technology, and provide a new theoretical mechanism for feature binding in visual perception.
文摘目的探讨静息状态下抑郁障碍患者脑网络功能连接特征和强度。方法纳入抑郁障碍患者(抑郁障碍组)和健康被试(对照组),进行静息态功能磁共振(resting state functional magnetic resonance imaging,rs-fMRI)扫描。计算两组被试全脑度中心性(degree centrality,DC)值,进而计算其功能连接强度;采用支持向量机(support vector machine,SVM)方法探索异常的DC值是否对抑郁障碍有识别作用。结果抑郁障碍组26例患者和对照组37名对照纳入分析。相较于对照组,抑郁障碍组左侧额中回DC值降低(t=-4.98,P<0.05,GRF校正),而右侧颞中回(t=5.02,P<0.05,GRF校正)、右侧海马旁回(t=4.80,P<0.05,GRF校正)、右侧小脑后部(t=4.98,P<0.05,GRF校正)DC值增加。抑郁障碍组异常脑区DC值与17项-汉密尔顿抑郁量表、贝克抑郁量表得分无统计学相关性(P>0.05)。SVM分析结果显示,左侧额中回DC值降低区分抑郁障碍组和对照组的准确度为84.13%,敏感度为88.46%,特异度为81.08%,受试者操作特征曲线下面积为0.87。结论静息状态下抑郁障碍患者左侧额中回及右侧颞中回、右侧海马旁回、右侧小脑后部存在功能连接改变,左侧额中回功能连接强度变化可能对抑郁障碍的识别有提示作用。
