Inferring causal relations from multivariate data using Large-Scale Augmented Granger Causality (lsAGC) [0.03%]
基于大规模扩充的Granger因果分析的多变量数据因果关系推断方法研究
Axel Wismüller,Ali Vosoughi,Akhil Kasturi
Axel Wismüller
Causal inference from high-dimensional and short time-series data is crucial to scientific discovery across diverse fields. Yet, standard approaches frequently fail under these constraints. We propose Large-scale Augmented Granger Causality...
Buffering effects of amusement and awe on stress responses: Behavioral, physiological, and neural response [0.03%]
积极情绪对压力反应的缓冲作用：行为、生理及神经学证据
Masayuki Tsujimoto,Yutaka Matsuzaki,Noriki Yamaya et al.
Masayuki Tsujimoto et al.
The experience of positive emotions plays a crucial role in promoting mental and physical health. Laboratory studies have suggested that induced positive emotions facilitate stress recovery. However, how recovery from stress by discrete pos...
Divergent neural correlates of intolerance of uncertainty subdimensions: Insights from multimodal analyses of reward processing [0.03%]
基于多模态奖赏处理分析的不确定容忍度维度的神经机制研究
Antonia Küttner,Esther Zwiky,Philine König et al.
Antonia Küttner et al.
Background: Intolerance of uncertainty (IU) is a transdiagnostic factor in mental disorders, affecting emotional, cognitive, and behavioral functioning. While IU influences the processing of uncertain rewards, analyses of...
Rapid Whole-Brain Venous Cerebral Blood Volume Mapping Using Velocity-Selective Venous-Spin-Labeling With 3D GRASE [0.03%]
基于速度选择性静脉标记的三维GRASE技术进行全脑静脉CBV成像
Youngho Heo,Sung Suk Oh,Won Beom Jung et al.
Youngho Heo et al.
Venous cerebral blood volume (CBVv) is an important neurophysiological parameter and contributor to the BOLD signal mechanism. However, MRI-based, noninvasive methods for CBVv mapping remain scarce, and existing approaches are limited by es...
ODF based deep learning network for unsupervised deformable diffusion resonance image registration (ODDRnet) [0.03%]
一种基于_ODF_的无监督扩散加权磁共振图像配准深度学习网络(ODDRNet)
Mengyao Li,Jieying Zhang,Baogui Zhang et al.
Mengyao Li et al.
In recent years, deep-learning algorithms have been widely adopted for medical-image registration owing to their high speed and accuracy, yet most works focus on scalar images. Diffusion MRI (dMRI) is primarily used to depict white-matter a...
Combining fast and slow fMRI sampling rates can enhance predictive power in resting-state data [0.03%]
结合快速和慢速fMRI采样率可以增强静息态数据的预测能力
Joanne Wardell,Kseniya Solovyeva,David Danks et al.
Joanne Wardell et al.
Data collection technology in functional magnetic resonance imaging (fMRI) is rapidly developing, leading to continuous growth of spatio-temporal resolution. The need to understand brain dynamics, as it plays a crucial role in understanding...
Identifying individuals with high susceptibility to mental fatigue: A functional connectivity study [0.03%]
具有高度易感心理疲劳个体的识别：一项功能连接研究
Lingyun Gao,Mengru Xu,Linze Qian et al.
Lingyun Gao et al.
Substantial inter-individual difference of behavioral performance was repeatedly revealed during prolonged time-on-task (TOT), indicating complex neural mechanisms underlying mental fatigue. In this work, we provided a comprehensive investi...
Cerebellum and self-esteem in children and adolescents: the moderating effect of depression [0.03%]
儿童和青少年小脑与自尊：抑郁的调节作用
Haemi Choi,Jeongeun Lee,Jungeun Cho et al.
Haemi Choi et al.
Introduction: Self-esteem, a critical determinant of psychological well-being, develops concurrently with brain maturation during childhood and adolescence. Emerging evidence has identified the involvement of the cerebell...
Anatomical characterization of premotor-motor connectivity in humans by paired intraoperative direct cortical stimulation [0.03%]
人脑额叶皮层和运动皮层功能连接的术中定位研究
Luigi Cattaneo,Sonia Nunes,Davide Giampiccolo et al.
Luigi Cattaneo et al.
The human motor cortex represents the major source of corticospinal output and receives input from a constellation of sensorimotor regions in the surrounding cerebral cortex and subcortical regions. Here we tested cortico-cortical connectio...
Neural basis of inhibitory control enhancement after high-intensity interval training and moderate-intensity continuous training:fNIRS study of children aged 9 to 10 [0.03%]
高强度间歇训练和中等强度持续训练后儿童抑制控制的神经基础增强：一项fNIRS研究(针对9至10岁儿童)
Yunzhou Liu,Rong Zhang,Qiao He et al.
Yunzhou Liu et al.
Purpose: Investigate the effects of high-intensity interval training (HIIT) and moderate intensity continuous training (MICT) on school-aged children's executive function and reveal how they affect executive function focu...