ReviewCognitive neurodynamics2021
Brain functional network modeling and analysis based on fMRI: a systematic review.
Review in Cognitive neurodynamics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Effects of Multi-Sensory Stimulation on Brain Functional Connectivity in Patients with Disorders of Consciousness.Brain sciences · 2026Article
- Neural correlates of suppressing and imagining future threat.Scientific reports · 2025Article
- Identification of key brain networks and functional connectivities of successful aging: A surface-based resting-state functional magnetic resonance study.World journal of psychiatry · 2025Article
- Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations.Diagnostics (Basel, Switzerland) · 2025Review
- Knowledge concept recognition in the learning brain via fMRI classification.Frontiers in neuroscience · 2025Article
- Exploring the Relationship between Abnormal Communication Efficiency of Cerebral Cortex and Multiple Cognitive Functions in Mild Subcortical Stroke: A Resting-State fMRI Study.Brain sciences · 2024Article
- SMART (Splitting-Merging Assisted Reliable) Independent Component Analysis for Extracting Accurate Brain Functional Networks.Neuroscience bulletin · 2024Article
- A spatially constrained independent component analysis jointly informed by structural and functional network connectivity.bioRxiv : the preprint server for biology · 2024Article
- The neuronal and synaptic dynamics underlying post-inhibitory rebound burst related to major depressive disorder in the lateral habenula neuron model.Cognitive neurodynamics · 2024Article
- Probing latent brain dynamics in Alzheimer's disease via recurrent neural network.Cognitive neurodynamics · 2024Article
- Constructing fine-grained spatiotemporal neonatal functional atlases with spectral functional network learning.Human brain mapping · 2024Article
- Graph neural network and machine learning analysis of functional neuroimaging for understanding schizophrenia.BMC neuroscience · 2024Article
- A spatially constrained independent component analysis jointly informed by structural and functional network connectivity.Network neuroscience (Cambridge, Mass.) · 2024Article
- Events in context-The HED framework for the study of brain, experience and behavior.Frontiers in neuroinformatics · 2024Article
- ImageNomer: Description of a functional connectivity and omics analysis tool and case study identifying a race confound.Neuroimage. Reports · 2023Article
- The characteristics of brain network in patient with post-stroke depression under cognitive task condition.Frontiers in neuroscience · 2023Article
- Detecting synaptic connections in neural systems using compressive sensing.Cognitive neurodynamics · 2022Article
- NDCN-Brain: An Extensible Dynamic Functional Brain Network Model.Diagnostics (Basel, Switzerland) · 2022Article
- Temporal and Spatial Analysis of Alzheimer's Disease Based on an Improved Convolutional Neural Network and a Resting-State FMRI Brain Functional Network.International journal of environmental research and public health · 2022Article
- Multiscale entropy and small-world network analysis in rs-fMRI - new tools to evaluate early basal ganglia dysfunction in diabetic peripheral neuropathy.Frontiers in endocrinology · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, the number of patients with neurodegenerative diseases (i.e., Alzheimer's disease, Parkinson's disease, mild cognitive impairment) and mental disorders (i.e., depression, anxiety and schizophrenia) have increased dramatically. Researchers have found that complex network analysis can reveal the topology of brain functional networks, such as small-world, scale-free, etc. In the study of brain diseases, it has been found that these topologies have undergoed abnormal changes in different degrees. Therefore, the research of brain functional networks can not only provide a new perspective for understanding the pathological mechanism of neurological and psychiatric diseases, but also provide assistance for the early diagnosis. Focusing on the study of human brain functional networks, this paper reviews the research results in recent years. First, this paper introduces the background of the study of brain functional networks under complex network theory and the important role of topological properties in the study of brain diseases. Second, the paper describes how to construct a brain functional network using neural image data. Third, the common methods of functional network analysis, including network structure analysis and disease classification, are introduced. Fourth, the role of brain functional networks in pathological study, analysis and diagnosis of brain functional diseases is studied. Finally, the paper summarizes the existing studies of brain functional networks and points out the problems and future research directions.
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