Attention deficit and hyperactivity disorder（ADHD） is a disorder characterized by behavioral symptoms including hyperactivity/impulsivity among children,adolescents,and adults.These ADHD related symptoms are influen...Attention deficit and hyperactivity disorder（ADHD） is a disorder characterized by behavioral symptoms including hyperactivity/impulsivity among children,adolescents,and adults.These ADHD related symptoms are influenced by the complex interaction of brain networks which were under explored.We explored age-related brain network differences between ADHD patients and typically developing（TD） subjects using resting state f MRI（rs-f MRI） for three age groups of children,adolescents,and adults.We collected rs-f MRI data from 184 individuals（27 ADHD children and 31 TD children;32 ADHD adolescents and 32 TD adolescents;and 31 ADHD adults and 31 TD adults）.The Brainnetome Atlas was used to define nodes in the network analysis.We compared three age groups of ADHD and TD subjects to identify the distinct regions that could explain age-related brain network differences based on degree centrality,a well-known measure of nodal centrality.The left middle temporal gyrus showed significant interaction effects between disease status（i.e.,ADHD or TD） and age（i.e.,child,adolescent,or adult）（P 0.001）.Additional regions were identified at a relaxed threshold（P 0.05）.Many of the identified regions（the left inferior frontal gyrus,the left middle temporal gyrus,and the left insular gyrus） were related to cognitive function.The results of our study suggest that aberrant development in cognitive brain regions might be associated with age-related brain network changes in ADHD patients.These findings contribute to better understand how brain function influences the symptoms of ADHD.展开更多
目的针对目前缺少对脑肿瘤患者客观的认知损伤评价标准,本文提出基于静息态功能磁共振数据的脑复杂度分析方法。方法首先对24位肿瘤患者与18位健康志愿者的BOLD-f MRI图像分别进行预处理,再求取全脑平均样本熵值及全脑体素样本熵图,然...目的针对目前缺少对脑肿瘤患者客观的认知损伤评价标准,本文提出基于静息态功能磁共振数据的脑复杂度分析方法。方法首先对24位肿瘤患者与18位健康志愿者的BOLD-f MRI图像分别进行预处理,再求取全脑平均样本熵值及全脑体素样本熵图,然后求取以肿瘤部位为感兴趣区域(region of interest,ROI)的功能连接和互样本熵值对比分析。结果健康志愿者样本熵值明显高于肿瘤患者(F=15.907,P=0.000),互样本熵值与功能连接呈负相关关系,并且左额或左颞有脑肿瘤的患者在左额、左颞、楔叶的功能脑区与健康志愿者相比有明显差异,该研究结果与临床诊断数据较为一致。结论提出一种基于样本熵的脑复杂度分析方法,发现肿瘤会影响大脑的复杂度,肿瘤级别升高导致大脑复杂度的降低,该方法所得结果能够作为评定肿瘤级别的量化参数之一。展开更多
基金supported by the Institute for Basic Science[grant No.IBS-R015-D1]the National Research Foundation of Korea(grant No.NRF-2016R1A2B4008545)
文摘Attention deficit and hyperactivity disorder（ADHD） is a disorder characterized by behavioral symptoms including hyperactivity/impulsivity among children,adolescents,and adults.These ADHD related symptoms are influenced by the complex interaction of brain networks which were under explored.We explored age-related brain network differences between ADHD patients and typically developing（TD） subjects using resting state f MRI（rs-f MRI） for three age groups of children,adolescents,and adults.We collected rs-f MRI data from 184 individuals（27 ADHD children and 31 TD children;32 ADHD adolescents and 32 TD adolescents;and 31 ADHD adults and 31 TD adults）.The Brainnetome Atlas was used to define nodes in the network analysis.We compared three age groups of ADHD and TD subjects to identify the distinct regions that could explain age-related brain network differences based on degree centrality,a well-known measure of nodal centrality.The left middle temporal gyrus showed significant interaction effects between disease status（i.e.,ADHD or TD） and age（i.e.,child,adolescent,or adult）（P 0.001）.Additional regions were identified at a relaxed threshold（P 0.05）.Many of the identified regions（the left inferior frontal gyrus,the left middle temporal gyrus,and the left insular gyrus） were related to cognitive function.The results of our study suggest that aberrant development in cognitive brain regions might be associated with age-related brain network changes in ADHD patients.These findings contribute to better understand how brain function influences the symptoms of ADHD.
文摘目的针对目前缺少对脑肿瘤患者客观的认知损伤评价标准,本文提出基于静息态功能磁共振数据的脑复杂度分析方法。方法首先对24位肿瘤患者与18位健康志愿者的BOLD-f MRI图像分别进行预处理,再求取全脑平均样本熵值及全脑体素样本熵图,然后求取以肿瘤部位为感兴趣区域(region of interest,ROI)的功能连接和互样本熵值对比分析。结果健康志愿者样本熵值明显高于肿瘤患者(F=15.907,P=0.000),互样本熵值与功能连接呈负相关关系,并且左额或左颞有脑肿瘤的患者在左额、左颞、楔叶的功能脑区与健康志愿者相比有明显差异,该研究结果与临床诊断数据较为一致。结论提出一种基于样本熵的脑复杂度分析方法,发现肿瘤会影响大脑的复杂度,肿瘤级别升高导致大脑复杂度的降低,该方法所得结果能够作为评定肿瘤级别的量化参数之一。
