Abstract:
Recent neuroimaging studies in humans have reported distinct temporal dynamics of gyri and sulci, which may be associated with putative functions of cortical gyrification. However, the complex folding patterns of the human cortex make it difficult to explain temporal patterns of gyrification. In this study, we used the common marmoset as a simplified model to examine the temporal characteristics and compare them with the complex gyrification of humans. Using a brain-inspired deep neural network, we obtained reliable temporal-frequency fingerprints of gyri and sulci from the awake rs-fMRI data of marmosets and humans. Notably, the temporal fingerprints of one region successfully classified the gyrus/sulcus of another region in both marmosets and humans. Additionally, the temporal-frequency fingerprints were remarkably similar in both species. We then analyzed the resulting fingerprints in several domains and adopted the Wavelet Transform Coherence approach to characterize the gyro-sulcal coupling patterns. In both humans and marmosets, sulci exhibited higher frequency bands than gyri, and the two were temporally coupled within the same range of phase angles. This study supports the notion that gyri and sulci possess unique and evolutionarily conserved features that are consistent across functional areas, and advances our understanding of the functional role of cortical gyrification.
摘要:
最近在人类的神经影像学研究已经报道了不同的时间动态的回旋和沟,这可能与推定的皮质旋化功能有关。然而,人类大脑皮层复杂的折叠模式,使得很难解释旋转的时间模式。在这项研究中,我们使用普通的mar集作为简化模型来检查时间特征,并将其与人类的复杂旋转进行比较。使用大脑启发的深度神经网络,我们从mar猴和人类的清醒rs-fMRI数据中获得了可靠的回和沟的时间频率指纹。值得注意的是,一个区域的时间指纹成功地将另一个区域的回/沟分类为mar猴和人类。此外,两个物种的时间频率指纹非常相似。然后,我们分析了多个域中的指纹,并采用了小波变换相干方法来表征陀螺沟耦合模式。在人类和猿猴身上,沟表现出比回旋更高的频带,两者在相同的相位角范围内时间耦合。这项研究支持以下观点:回旋和沟具有独特的和进化上保守的特征,这些特征在功能区域之间是一致的,并提高了我们对皮质旋化的功能作用的理解。