Jarrahi Behnaz, Mantini Dante
Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:5558-5562. doi: 10.1109/EMBC.2016.7591986.
Sources of variations in the neural circuitry of the human brain and interrelationship between intrinsic connectivity networks (ICNs) are still a matter of debate and ongoing research. Here, we applied a multivariate analysis of covariance (MANCOVA) based on high-dimensional independent component analysis (ICA) to identify the effects of interoception and related variables on human brain connectome. Fifteen healthy right-handed subjects (all females, age range 21 - 48 years; mean age = 30.3, SD = 8.7 years) underwent a blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI) that included continuous intravesical saline infusion and drainage. The design matrix included the intravesical fullness, subject fullness rating, normalized right and left insula thickness, age, and neuropsychological assessments (Mini-Mental State Exam; MMSE, and Hospital Anxiety and Depression Scale; HADS) as covariates of interest. Univariate tests were also performed with a reduced design matrix (p <; 0.05, corrected for multiple comparisons using false discovery rate) to study the nature and extent of the relationship between these covariates and three ICA outcome measures, namely, the spatial map intensity, frequency spectral power, and functional network connectivity. Results showed significant effects of interoception (intravesical fullness) on spatial map intensity of the salience network (anchored by insula and anterior cingulate cortex) and the frontoparietal central executive network, The left and right insula thickness influenced the spatial map intensity of the subcortical network, and the attention/cognitive and default-mode networks, respectively. The intravesical fullness also showed an effect on the spectral power of the subcortical network. Further investigations of the effect of internal (bodily) sensations on the ICN properties can provide an invaluable tool for understanding the role of interoception in health and illness.
人类大脑神经回路变化的来源以及内在连接网络(ICN)之间的相互关系仍是一个存在争议且正在研究的问题。在此,我们基于高维独立成分分析(ICA)应用多变量协方差分析(MANCOVA)来确定内感受及相关变量对人类大脑连接组的影响。15名健康的右利手受试者(均为女性,年龄范围21 - 48岁;平均年龄 = 30.3岁,标准差 = 8.7岁)接受了血氧水平依赖(BOLD)功能磁共振成像(fMRI),该成像包括持续的膀胱内盐水灌注和引流。设计矩阵包括膀胱内充盈度、受试者充盈度评分、左右脑岛归一化厚度、年龄以及神经心理学评估(简易精神状态检查表;MMSE,和医院焦虑抑郁量表;HADS)作为感兴趣的协变量。还使用简化的设计矩阵进行了单变量检验(p < 0.05,使用错误发现率校正多重比较),以研究这些协变量与三个ICA结果指标之间关系的性质和程度,这三个指标分别是空间图强度、频谱功率和功能网络连接性。结果显示,内感受(膀胱内充盈度)对显著网络(以脑岛和前扣带回皮质为锚定)和额顶中央执行网络的空间图强度有显著影响,左右脑岛厚度分别影响皮质下网络以及注意力/认知网络和默认模式网络的空间图强度。膀胱内充盈度对皮质下网络的频谱功率也有影响。进一步研究内部(身体)感觉对ICN特性的影响可为理解内感受在健康和疾病中的作用提供一个宝贵工具。