Convergent functional changes of default mode network in mild cognitive impairment using activation likelihood estimation
Q Yuan, W Qi, C Xue, H Ge, G Hu, S Chen… - Frontiers in Aging …, 2021 - frontiersin.org
Background: Mild cognitive impairment (MCI) represents a transitional state between normal
aging and dementia disorders, especially Alzheimer's disease (AD). The disruption of the …
aging and dementia disorders, especially Alzheimer's disease (AD). The disruption of the …
Mild cognitive impairment and fMRI studies of brain functional connectivity: the state of the art
L Farràs-Permanyer, J Guàrdia-Olmos… - Frontiers in …, 2015 - frontiersin.org
In the last 15 years, many articles have studied brain connectivity in Mild Cognitive
Impairment patients with fMRI techniques, seemingly using different connectivity statistical …
Impairment patients with fMRI techniques, seemingly using different connectivity statistical …
Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification
Recent works have shown that hyper-networks derived from blood-oxygen-level-dependent
(BOLD) fMRI, where an edge (called hyper-edge) can be connected to more than two nodes …
(BOLD) fMRI, where an edge (called hyper-edge) can be connected to more than two nodes …
Sub-network kernels for measuring similarity of brain connectivity networks in disease diagnosis
As a simple representation of interactions among distributed brain regions, brain networks
have been widely applied to automated diagnosis of brain diseases, such as Alzheimer's …
have been widely applied to automated diagnosis of brain diseases, such as Alzheimer's …
Brain age prediction using the graph neural network based on resting-state functional MRI in Alzheimer's disease
Introduction Alzheimer's disease (AD) is a neurodegenerative disease that significantly
impacts the quality of life of patients and their families. Neuroimaging-driven brain age …
impacts the quality of life of patients and their families. Neuroimaging-driven brain age …
A Multi-Graph Cross-Attention based Region-Aware Feature Fusion Network using Multi-Template for Brain Disorder Diagnosis
Functional connectivity (FC) networks based on resting-state functional magnetic imaging (rs-
fMRI) are reliable and sensitive for brain disorder diagnosis. However, most existing …
fMRI) are reliable and sensitive for brain disorder diagnosis. However, most existing …
Longitudinal changes in functional brain connectivity predicts conversion to Alzheimer's disease
L Serra, M Cercignani, C Mastropasqua… - Journal of …, 2016 - content.iospress.com
This longitudinal study investigates the modifications in structure and function occurring to
typical Alzheimer's disease (AD) brains over a 2-year follow-up, from pre-dementia stages of …
typical Alzheimer's disease (AD) brains over a 2-year follow-up, from pre-dementia stages of …
Machine learning classification combining multiple features of a hyper-network of fMRI data in Alzheimer's disease
H Guo, F Zhang, J Chen, Y Xu, J Xiang - Frontiers in neuroscience, 2017 - frontiersin.org
Exploring functional interactions among various brain regions is helpful for understanding
the pathological underpinnings of neurological disorders. Brain networks provide an …
the pathological underpinnings of neurological disorders. Brain networks provide an …
3D Multimodal Fusion Network with Disease-induced Joint Learning for Early Alzheimer's Disease Diagnosis
Multimodal neuroimaging provides complementary information critical for accurate early
diagnosis of Alzheimer's disease (AD). However, the inherent variability between multimodal …
diagnosis of Alzheimer's disease (AD). However, the inherent variability between multimodal …
Differences in graph theory functional connectivity in left and right temporal lobe epilepsy
Purpose To investigate lateralized differences in limbic system functional connectivity
between left and right temporal lobe epilepsy (TLE) using graph theory. Methods Interictal …
between left and right temporal lobe epilepsy (TLE) using graph theory. Methods Interictal …