Results 111 to 120 of about 5,006,415 (321)

Functional neuroimaging of traumatic brain injury: advances and clinical utility

Neuropsychiatric Disease and Treatment, 2015
Functional deficits due to traumatic brain injury (TBI) can have significant and enduring consequences upon patients’ life quality and expectancy. Although functional neuroimaging is essential for understanding TBI pathophysiology, an insufficient amount
A. Irimia, J. V. Van Horn
semanticscholar   +1 more source

Improving Adult Vision Through Pathway‐Specific Training in Augmented Reality

Advanced Science, EarlyView.
Traditional perceptual training approaches are limited by stimulus specificity, treatment efficacy, and patient compliance. A novel altered reality (AR) method is developed to enhance pathway‐specific functions in human adults while performing everyday activities.
Yige Gao, Yulian Zhou, Qing He, Wen Wen, Peng Zhang   +4 more
wiley   +1 more source

A Rapid Cortical Learning Process Supporting Students’ Knowledge Construction During Real Classroom Teaching

Advanced Science, EarlyView.
There is growing interest in understanding how classroom teaching works, but previous theories and studies leave a gap in the neurocognitive mechanisms involved in real classroom teaching. Here we show that during real classroom teaching, students' middle frontal cortex serves as a hub of a rapid cortical learning process, supporting their knowledge ...
Xiaodan Feng, Xinran Xu, Zhaonan Meng, Jiahao Jiang, Miao Pei, Yonghe Zheng, Chunming Lu   +6 more
wiley   +1 more source

Fast Optimal Transport Averaging of Neuroimaging Data [PDF]

arXiv, 2015
Knowing how the Human brain is anatomically and functionally organized at the level of a group of healthy individuals or patients is the primary goal of neuroimaging research. Yet computing an average of brain imaging data defined over a voxel grid or a triangulation remains a challenge.
arxiv  

Longitudinal, Multimodal Tracking Reveals Lasting Neurovascular Impact of Individual Microinfarcts

Advanced Science, EarlyView.
Jin et al. investigate the neurovascular impact of microinfarcts, revealing transient neural suppression with minimal cell death and recovery linked to vascular remodeling. Fast‐spiking interneurons exhibit reduced excitability, whereas regular‐spiking neurons showed increased bursting activity. Disruptions in low‐gamma phase locking suggest persistent
Yifu Jin, Fei He, Haad Rathore, Yingchu Sun, Jia‐ao Zhang, Xinyu Li, Rongkang Yin, Hanlin Zhu, Chong Xie, Lan Luan   +9 more
wiley   +1 more source

Advancing fNIRS Neuroimaging through Synthetic Data Generation and Machine Learning Applications [PDF]

arXiv
This study presents an integrated approach for advancing functional Near-Infrared Spectroscopy (fNIRS) neuroimaging through the synthesis of data and application of machine learning models. By addressing the scarcity of high-quality neuroimaging datasets, this work harnesses Monte Carlo simulations and parametric head models to generate a comprehensive
arxiv  

Learning-related Neuronal Responses in Prefrontal Cortex Studied with Functional Neuroimaging [PDF]

, 1999
Paul C. Fletcher
openalex   +1 more source

Functional Neuroimaging in Psychopathy

Neuropsychobiology, 2015
Background and Aim: Psychopathy is associated with cognitive and affective deficits causing disruptive, harmful and selfish behaviour. These have considerable societal costs due to recurrent crime and property damage.
A. Del Casale, G. Kotzalidis, C. Rapinesi, S. Di Pietro, M. C. Alessi, G. Di Cesare, Silvia Criscuolo, P. de Rossi, R. Tatarelli, P. Girardi, S. Ferracuti   +10 more
semanticscholar   +1 more source

Integrating Aggregate Materials and Machine Learning Algorithms: Advancing Detection of Pathogen‐Derived Extracellular Vesicles

Aggregate, EarlyView.
Pathogen‐derived extracellular vesicle detection: theoretical insights and advanced methodologies: This review explores the theoretical foundations and practical applications of pEV detection, emphasizing the challenges and innovative strategies involving novel aggregate materials and machine learning for enhanced diagnostic accuracy.
Lihan Lai, Yun Su, Cong Hu, Zehong Peng, Wei Xue, Liang Dong, Tony Y. Hu   +6 more
wiley   +1 more source

The relationship between spatial configuration and functional connectivity of brain regions revisited

eLife, 2019
Previously we showed that network-based modelling of brain connectivity interacts strongly with the shape and exact location of brain regions, such that cross-subject variations in the spatial configuration of functional brain regions are being ...
Janine Diane Bijsterbosch, Christian F Beckmann, Mark W Woolrich, Stephen M Smith, Samuel J Harrison   +4 more
doaj   +1 more source