[HTML][HTML] Technologies to support the diagnosis and/or treatment of neurodevelopmental disorders: A systematic review

MO Ribas, M Micai, A Caruso, F Fulceri, M Fazio… - Neuroscience & …, 2023 - Elsevier
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 …

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 …

Learning functional brain networks with heterogeneous connectivities for brain disease identification

C Zhang, Y Ma, L Qiao, L Zhang, M Liu - Neural Networks, 2024 - Elsevier
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 …

LCGNet: Local Sequential Feature Coupling Global Representation Learning for Functional Connectivity Network Analysis with fMRI

J Zhou, B Jie, Z Wang, Z Zhang, T Du… - … on Medical Imaging, 2024 - ieeexplore.ieee.org
Analysis of functional connectivity networks (FCNs) derived from resting-state functional
magnetic resonance imaging (rs-fMRI) has greatly advanced our understanding of brain …

Modularity-guided functional brain network analysis for early-stage dementia identification

Y Zhang, X Jiang, L Qiao, M Liu - Frontiers in Neuroscience, 2021 - frontiersin.org
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 …

Adaptive multimodal neuroimage integration for major depression disorder detection

Q Wang, L Li, L Qiao, M Liu - Frontiers in Neuroinformatics, 2022 - frontiersin.org
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 …

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 …

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 …

Brain function network: higher order vs. more discrimination

T Guo, Y Zhang, Y Xue, L Qiao, D Shen - Frontiers in Neuroscience, 2021 - frontiersin.org
Brain functional network (BFN) has become an increasingly important tool to explore
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

H Han, X Li, JQ Gan, H Yu, H Wang… - Neuroscience, 2022 - Elsevier
Recent studies show that overlapping community structure is an important feature of the
brain functional network. However, alterations in such overlapping community structure in …