Brain functional network modeling and analysis based on fMRI: a systematic review
In recent years, the number of patients with neurodegenerative diseases (ie, Alzheimer's
disease, Parkinson's disease, mild cognitive impairment) and mental disorders (ie …
disease, Parkinson's disease, mild cognitive impairment) and mental disorders (ie …
Brain functional networks based on resting-state EEG data for major depressive disorder analysis and classification
B Zhang, G Yan, Z Yang, Y Su… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
If the brain is regarded as a system, it will be one of the most complex systems in the
universe. Traditional analysis and classification methods of major depressive disorder …
universe. Traditional analysis and classification methods of major depressive disorder …
The starving brain: Overfed meets undernourished in the pathology of mild cognitive impairment (MCI) and Alzheimer's disease (AD)
KJ Gibas - Neurochemistry International, 2017 - Elsevier
Type II Diabetes affects 400 million people worldwide (IDF, 2013). The pathology is
paradoxical: internal starvation activated by overfeeding. Hyperinsulinemic impairments of …
paradoxical: internal starvation activated by overfeeding. Hyperinsulinemic impairments of …
A survey on brain effective connectivity network learning
Human brain effective connectivity characterizes the causal effects of neural activities
among different brain regions. Studies of brain effective connectivity networks (ECNs) for …
among different brain regions. Studies of brain effective connectivity networks (ECNs) for …
Convolutional neural network with element-wise filters to extract hierarchical topological features for brain networks
X Xing, J Ji, Y Yao - 2018 IEEE international conference on …, 2018 - ieeexplore.ieee.org
Human brain network analysis based on machine learning has been paid much attention in
the field of neuroimaging, where the application of convolutional neural network (CNN) is …
the field of neuroimaging, where the application of convolutional neural network (CNN) is …
Convolutional kernels with an element-wise weighting mechanism for identifying abnormal brain connectivity patterns
Deep learning based human brain network classification has gained increasing attention in
recent years. However, current methods remain limited in exploring the topological structure …
recent years. However, current methods remain limited in exploring the topological structure …
Reorganized brain functional network topology in presbycusis
B Guan, Y Xu, YC Chen, C Xing, L Xu… - Frontiers in Aging …, 2022 - frontiersin.org
Purpose Presbycusis is characterized by bilateral sensorineural hearing loss at high
frequencies and is often accompanied by cognitive decline. This study aimed to identify the …
frequencies and is often accompanied by cognitive decline. This study aimed to identify the …
Brain functional networks in type 2 diabetes mellitus patients: a resting-state functional MRI study
J Xu, F Chen, T Liu, T Wang, J Zhang, H Yuan… - Frontiers in …, 2019 - frontiersin.org
Background Previous diabetes mellitus studies of cognitive impairments in the early stages
have focused on changes in brain structure and function, and more recently the focus has …
have focused on changes in brain structure and function, and more recently the focus has …
默认网络的神经机制, 功能假设及临床应用
李雨， 舒华 - 心理科学进展, 2014 - journal.psych.ac.cn
认知神经科学的迅速发展使得研究者对大脑的功能有了深刻的认识. 近些年来,
研究者对大脑在进行外在注意任务时产生的负激活有了更多的了解, 默认网络(Default Mode …
研究者对大脑在进行外在注意任务时产生的负激活有了更多的了解, 默认网络(Default Mode …
Altered structural networks in neuromyelitis optica spectrum disorder related with cognition impairment and clinical features
Q Zheng, X Chen, M Xie, J Fu, Y Han, J Wang… - Multiple Sclerosis and …, 2021 - Elsevier
Objective To investigate the topological properties alterations of white matter (WM) network
in neuromyelitis optica spectrum disorder (NMOSD) patients and its correlation with clinical …
in neuromyelitis optica spectrum disorder (NMOSD) patients and its correlation with clinical …