Translating phenotypic prediction models from big to small anatomical MRI data using meta-matching [0.03%]
基于元匹配的大数据到小数据的表型预测模型转换方法
Naren Wulan,Lijun An,Chen Zhang et al.
Naren Wulan et al.
Individualized phenotypic prediction based on structural magnetic resonance imaging (MRI) is an important goal in neuroscience. Prediction performance increases with larger samples, but small-scale datasets with fewer than 200 participants ...
Elucidating a statistical learning brain network: Coordinate-based meta-analyses and functional connectivity profiles of artificial grammar learning in healthy adults [0.03%]
健康成年人人工语法学习的坐标元分析及功能连接模式研究
Amy E Ramage,Kaila Cote,Jill C Thorson et al.
Amy E Ramage et al.
Language rehabilitation centers on modifying its use through experience-based neuroplasticity. Statistical learning of language is essential to its acquisition and likely its rehabilitation following brain injury, but its corresponding brai...
The dynamics of dynamic time warping in fMRI data: A method to capture inter-network stretching and shrinking via warp elasticity [0.03%]
基于fMRI数据的动态时间规整的动力学：通过拉伸弹性捕获网络间变化的方法
Sir-Lord Wiafe,Ashkan Faghiri,Zening Fu et al.
Sir-Lord Wiafe et al.
In neuroimaging research, understanding the intricate dynamics of brain networks over time is paramount for unraveling the complexities of brain function. One approach commonly used to explore the dynamic nature of brain networks is functio...
Trial-by-trial detection of cognitive events in neural time-series [0.03%]
基于神经信号的时间序列认知事件的逐trial检测方法研究
Gabriel Weindel,Leendert van Maanen,Jelmer P Borst
Gabriel Weindel
Measuring the time-course of neural events that make up cognitive processing is crucial to understand the relationship between brain and behavior. To this aim, we formulated a method to discover a trial-wise sequence of events in multivaria...
Limitations of 2-dimensional line-scan MRI for directly measuring neural activity [0.03%]
二维线扫描磁共振成像直接测量神经活动的局限性
Joshua M Wilson,Hua Wu,Adam B Kerr et al.
Joshua M Wilson et al.
A 2D-line-scan MRI sequence has been reported to directly measure neural responses to stimuli (the "DIANA response"). Attempts to replicate the DIANA response have failed, even with higher field strength and more repetitions. Part of this d...
Application of a 1H brain MRS benchmark dataset to deep learning for out-of-voxel artifacts [0.03%]
基于深度学习的脑代谢物谱成像出体效应校正方法及数据集研究
Aaron T Gudmundson,Christopher W Davies-Jenkins,İpek Özdemir et al.
Aaron T Gudmundson et al.
Neural networks are potentially valuable for many of the challenges associated with MRS data. The purpose of this manuscript is to describe the AGNOSTIC dataset, which contains 259,200 synthetic 1H MRS examples for training and testing neur...
High sensitivity mapping of brain-wide functional networks in awake mice using simultaneous multi-slice fUS imaging [0.03%]
基于同时多切片fUS成像的觉醒小鼠全脑功能网络高灵敏度映射技术
Adrien Bertolo,Jeremy Ferrier,Silvia Cazzanelli et al.
Adrien Bertolo et al.
Functional ultrasound (fUS) has received growing attention in preclinical research in the past decade, providing a new tool to measure functional connectivity (FC) and brain task-evoked responses with single-trial detection capability in bo...
Cortical changes during the learning of sequences of simultaneous finger presses [0.03%]
同时按压手指序列学习过程中的皮层变化规律
Benjamín Garzón,Gunther Helms,Hampus Olsson et al.
Benjamín Garzón et al.
The cortical alterations underpinning the acquisition of motor skills remain debated. In this longitudinal study in younger adults, we acquired performance and neuroimaging (7 T MRI) measures weekly over the course of 6 weeks to investigate...
The cerebellum during provocation and aggressive behaviour: A 7 T fMRI study [0.03%]
挑逗下的伏隔核及攻击行为中的小脑：7T功能磁共振研究
Elze M L Wolfs,Wietske Van der Zwaag,Nikos Priovoulos et al.
Elze M L Wolfs et al.
Increasing empirical evidence points towards the involvement of the cerebellum in anger and aggressive behaviour. However, human functional neuroimaging studies so far have emphasised the involvement of subcortical and cortical regions, rat...
Successful modulation of temporoparietal junction activity and stimulus-driven attention by fNIRS-based neurofeedback-A randomized controlled proof-of-concept study [0.03%]
基于fNIRS的神经反馈调节颞顶交界区活动和刺激驱动注意力的一个随机对照概念性研究
Simon H Kohl,Pia Melies,Johannes Uttecht et al.
Simon H Kohl et al.
The right temporoparietal junction (rTPJ) is a core hub in neural networks associated with reorienting of attention and social cognition. However, it remains unknown whether participants can learn to actively modulate their rTPJ activity vi...