[HTML][HTML] Technologies to support the diagnosis and/or treatment of neurodevelopmental disorders: A systematic review
In recent years, there has been a great interest in utilizing technology in mental health
research. The rapid technological development has encouraged researchers to apply …
research. The rapid technological development has encouraged researchers to apply …
A review of methods for classification and recognition of ASD using fMRI data
W Feng, G Liu, K Zeng, M Zeng, Y Liu - Journal of neuroscience methods, 2022 - Elsevier
Autism spectrum disorder (ASD) is a severe neuropsychiatric brain disorder that affects
people's social communication and daily routine. Considering the phenomenon of abnormal …
people's social communication and daily routine. Considering the phenomenon of abnormal …
Learning functional brain networks with heterogeneous connectivities for brain disease identification
Functional brain networks (FBNs), which are used to portray interactions between different
brain regions, have been widely used to identify potential biomarkers of neurological and …
brain regions, have been widely used to identify potential biomarkers of neurological and …
LCGNet: Local Sequential Feature Coupling Global Representation Learning for Functional Connectivity Network Analysis with fMRI
Analysis of functional connectivity networks (FCNs) derived from resting-state functional
magnetic resonance imaging (rs-fMRI) has greatly advanced our understanding of brain …
magnetic resonance imaging (rs-fMRI) has greatly advanced our understanding of brain …
Modularity-guided functional brain network analysis for early-stage dementia identification
Function brain network (FBN) analysis has shown great potential in identifying brain
diseases, such as Alzheimer's disease (AD) and its prodromal stage, namely mild cognitive …
diseases, such as Alzheimer's disease (AD) and its prodromal stage, namely mild cognitive …
Adaptive multimodal neuroimage integration for major depression disorder detection
Major depressive disorder (MDD) is one of the most common mental health disorders that
can affect sleep, mood, appetite, and behavior of people. Multimodal neuroimaging data …
can affect sleep, mood, appetite, and behavior of people. Multimodal neuroimaging data …
Prediction of brain age based on the community structure of functional networks
H Han, S Ge, H Wang - Biomedical Signal Processing and Control, 2023 - Elsevier
Studies have demonstrated that brain functional networks (BFNs) and machine learning are
promising methods for predicting brain age. However, many studies ignore the important …
promising methods for predicting brain age. However, many studies ignore the important …
Multi-scale graph representation learning for autism identification with functional MRI
Y Chu, G Wang, L Cao, L Qiao, M Liu - Frontiers in Neuroinformatics, 2022 - frontiersin.org
Resting-state functional MRI (rs-fMRI) has been widely used for the early diagnosis of autism
spectrum disorder (ASD). With rs-fMRI, the functional connectivity networks (FCNs) are …
spectrum disorder (ASD). With rs-fMRI, the functional connectivity networks (FCNs) are …
Brain function network: higher order vs. more discrimination
Brain functional network (BFN) has become an increasingly important tool to explore
individual differences and identify neurological/mental diseases. For estimating a “good” …
individual differences and identify neurological/mental diseases. For estimating a “good” …
Biomarkers derived from alterations in overlapping community structure of resting-state brain functional networks for detecting Alzheimer's disease
Recent studies show that overlapping community structure is an important feature of the
brain functional network. However, alterations in such overlapping community structure in …
brain functional network. However, alterations in such overlapping community structure in …