Center for Cognition and Brain Disorders, Department of Psychology, Hangzhou Normal University, Hangzhou, China.
Department of Radiology, Lewis Katz School of Medicine, Temple University, 3401 N Broad Street, 1st Floor, Radiology, Philadelphia, PA, 19140, USA.
Brain Imaging Behav. 2019 Oct;13(5):1486-1495. doi: 10.1007/s11682-018-9963-4.
Entropy is a fundamental trait of human brain. Using fMRI-based brain entropy (BEN) mapping, interesting findings have been increasingly revealed in normal brain and neuropsychiatric disorders. As BEN is still relatively new, an often-raised question is how much new information can this measure tell about the brain compared to other more established brain activity measures. The study aimed to address that question by examining the relationship between BEN and cerebral blood flow (CBF) and the fractional amplitude of low-frequency fluctuations (fALFF), two widely used resting state brain state measures. fMRI data acquired from a large cohort of normal subjects were used to calculate the three metrics; inter-modality associations were assessed at each voxel through the Pearson correlation analysis. A moderate to high positive BEN-CBF and BEN-fALFF correlations were found in orbito-frontal cortex (OFC) and posterior inferior temporal cortex (ITC); Strong negative BEN-fALFF correlations were found in visual cortex (VC), anterior ITC, striatum, motor network, precuneus, and lateral parietal cortex. Positive CBF-fALFF correlations were found in medial OFC (MOFC), medial prefrontal cortex (MPFC), left angular gyrus, and left precuneus. Significant gender effects were observed for all three metrics and their correlations. Our data clearly demonstrated that BEN provides unique information that cannot be revealed by CBF and fALFF.
熵是人类大脑的基本特征。使用基于 fMRI 的大脑熵（BEN）映射，在正常大脑和神经精神障碍中已经揭示了越来越多的有趣发现。由于 BEN 仍然相对较新，人们经常提出的一个问题是，与其他更成熟的大脑活动测量方法相比，这种测量方法可以提供多少关于大脑的新信息。本研究旨在通过检查 BEN 与脑血流（CBF）和低频振幅（fALFF）之间的关系来解决这个问题，这两个是广泛使用的静息态大脑状态测量方法。使用来自大量正常受试者的 fMRI 数据来计算这三个指标；通过 Pearson 相关分析在每个体素评估了三种模式之间的关联。在眶额皮质（OFC）和后下颞叶皮质（ITC）中发现了中等至高的 BEN-CBF 和 BEN-fALFF 正相关；在视觉皮质（VC）、前 ITC、纹状体、运动网络、楔前叶和外侧顶叶皮质中发现了强烈的 BEN-fALFF 负相关。在中额眶皮质（MOFC）、前额叶皮质（MPFC）、左角回和左楔前叶中发现了 CBF-fALFF 的正相关。所有三个指标及其相关性都观察到了显著的性别效应。我们的数据清楚地表明，BEN 提供了无法通过 CBF 和 fALFF 揭示的独特信息。
