ArticleFrontiers in neuroscience2020
A Deep Network Model on Dynamic Functional Connectivity With Applications to Gender Classification and Intelligence Prediction.
Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Article
- HESREN: A Derivative-Informed Reservoir Framework for Detecting Transient Neural Events and Windowless Estimation of Dynamic Functional Connectivity.Neuroinformatics · 2026Article
- A view-engage-predict framework for enhancing brain-behavior mapping with naturalistic movie-watching fMRI.Communications biology · 2026Article
- Brain regions beyond the visual cortex are relevant to subjective time prediction from fMRI salient events in a visual naturalistic context.Brain imaging and behavior · 2026Article
- The effects of sex and age on movie-watching functional connectivity and movie clip classification.Brain structure & function · 2025Article
- Brain networks and intelligence: A graph neural network based approach to resting state fMRI data.Medical image analysis · 2025Article
- Evaluating Cognitive Function and Brain Activity Patterns via Blood Oxygen Level-Dependent Transformer in N-Back Working Memory Tasks.Brain sciences · 2025Article
- Prob-sparse self-attention extraction of time-aligned dynamic functional connectivity for ASD diagnosis.Heliyon · 2025Article
- Sequential patterning of dynamic brain states distinguish Parkinson's disease patients with mild cognitive impairments.NeuroImage. Clinical · 2025Article
- Brain Networks and Intelligence: A Graph Neural Network Based Approach to Resting State fMRI Data.ArXiv · 2024Article
- Individual cognitive traits can be predicted from task-based dynamic functional connectivity with a deep convolutional-recurrent model.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Measuring functional connectivity in frequency-domain helps to better characterize brain function.Human brain mapping · 2024Article
- Rich-club organization of whole-brain spatio-temporal multilayer functional connectivity networks.Frontiers in neuroscience · 2024Article
- Article
- Accounting for temporal variability in functional magnetic resonance imaging improves prediction of intelligence.Human brain mapping · 2023Article
- ConCeptCNN: A novel multi-filter convolutional neural network for the prediction of neurodevelopmental disorders using brain connectome.Medical physics · 2022Article
- Feeding the machine: Challenges to reproducible predictive modeling in resting-state connectomics.Network neuroscience (Cambridge, Mass.) · 2022Article
- Multi-Source Domain Adaptation Techniques for Mitigating Batch Effects: A Comparative Study.Frontiers in neuroinformatics · 2022Article
- Article
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Increasing evidence has suggested that the dynamic properties of functional brain networks are related to individual behaviors and cognition traits. However, current fMRI-based approaches mostly focus on statistical characteristics of the windowed correlation time course, potentially overlooking subtle time-varying patterns in dynamic functional connectivity (dFC). Here, we proposed the use of an end-to-end deep learning model that combines the convolutional neural network (CNN) and long short-term memory (LSTM) network to capture temporal and spatial features of functional connectivity sequences simultaneously. The results on a large cohort (Human Connectome Project,
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