A hierarchical brain network model based on the K-shell decomposition algorithm

S Peng, W Zhou, Y Han - 2019 14th International Conference …, 2019 - ieeexplore.ieee.org
The human brain is a complicated network which has some conflicted properties
simultaneously such as robustness and vulnerability. Early researchers try to explore the …

Deep learning based decomposition of brain networks

P Lee, M Choi, D Kim, S Lee… - … Artificial Intelligence in …, 2019 - ieeexplore.ieee.org
A brain network is the essence of the intelligence where it consists of nodes that are
anatomically defined brain regions, and edges that connect a pair of brain regions. The …

The research of brain network structure in artificial intelligence

J Li, Y Liu - Third International Conference on Biomedical and …, 2024 - spiedigitallibrary.org
Artificial intelligence (AI) and the brain have close connection. The brain contains a large
number of brain cells, which form a complex network of brain cells and nerves. By studying …

Cross-Group Brain Network Topology Propagation Model with Graph Attention Mechanism

J Yu, S Li, K Ma, P Wan, L Sun… - 2023 7th Asian …, 2023 - ieeexplore.ieee.org
Most brain diseases are characterized by widespread structural and functional brain
abnormalities. Exploring the complex changes in network topology caused by brain …

Module differences of glucose metabolic brain network among Alzheimer's disease, Parkinson's disease dementia, Lewy body dementia and health control

D Chen, J Jiang, P Wu, Q Guo… - 2018 40th Annual …, 2018 - ieeexplore.ieee.org
Dementia has become a serious disease in elderly population. Graph theory based brain
network analysis method is considered as a popular and universal technique in the field of …

Coherent pattern in multi-layer brain networks: Application to epilepsy identification

J Huang, Q Zhu, M Wang, L Zhou… - IEEE journal of …, 2019 - ieeexplore.ieee.org
Currently, how to conjointly fuse structural connectivity (SC) and functional connectivity (FC)
for identifying brain diseases is a hot topic in the area of brain network analysis. Most of the …

Construction and analysis of brain networks from different neuroimaging techniques

R Prajapati, IA Emerson - International Journal of Neuroscience, 2022 - Taylor & Francis
Objectives The human brain is one of the most complicated biological structure in the entire
universe. It is incredibly challenging to see how it functions, mainly during scatter-brain, and …

Graph Theoretical Analysis Of Complex Networks In The Alzheimer Brain Using Navie-Bayes Classifier: An EEG And MRI Study

R Wang, Y Yin, H Wang, L Shi - … of the 2022 7th International Conference …, 2022 - dl.acm.org
In order to investigate the changes of local brain regions and the differences of functional
network and structural network in patients with Alzheimer's disease, the coherent functional …

Identification of dementia related brain functional networks with minimum spanning trees

AT Adebisi, V Gonuguntla, HW Lee… - … on Bioinformatics and …, 2020 - ieeexplore.ieee.org
Neurocognitive impairments such as mild cognitive impairment (MCI), alzheimer's disease
(AD) and vascular dementia (VD) effect the functional connectivity across the brain networks …

[PDF][PDF] Basis of graph theory on brain imaging study

K Onoda - Jpn. J. Physiol. Psychol. Psychophysiol, 2015 - scholar.archive.org
Brain is a complex network, which shows dynamic changes depending on the state and
traits of an individual. Graph theory is able to characterize such brain networks by providing …