ArticleNeural plasticity2016
EEG Source Imaging Guided by Spatiotemporal Specific fMRI: Toward an Understanding of Dynamic Cognitive Processes.
Article in Neural plasticity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed.
- Multimodal fNIRS-EEG sensor fusion: Review of data-driven methods and perspective for naturalistic brain imaging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Article
- Functional Brain Controllability Alterations in Stroke.Frontiers in bioengineering and biotechnology · 2022Article
- Basal ganglia shape features differentiate schizoaffective disorder from schizophrenia.Psychiatry research. Neuroimaging · 2021Article
- Mental Fatigue Has Great Impact on the Fractal Dimension of Brain Functional Network.Neural plasticity · 2020Article
- Effects of Mental Fatigue onNeural plasticity · 2019Article
- Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging.Journal of visualized experiments : JoVE · 2018Article
- Optimizing Within-Subject Experimental Designs for jICA of Multi-Channel ERP and fMRI.Frontiers in neuroscience · 2018Article
- Exploration of Neural Activity under Cognitive Reappraisal Using Simultaneous EEG-fMRI Data and Kernel Canonical Correlation Analysis.Computational and mathematical methods in medicine · 2018Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Understanding the mechanism of neuroplasticity is the first step in treating neuromuscular system impairments with cognitive rehabilitation approaches. To characterize the dynamics of the neural networks and the underlying neuroplasticity of the central motor system, neuroimaging tools with high spatial and temporal accuracy are desirable. EEG and fMRI stand among the most popular noninvasive neuroimaging modalities with complementary features, yet achieving both high spatial and temporal accuracy remains a challenge. A novel multimodal EEG/fMRI integration method was developed in this study to achieve high spatiotemporal accuracy by employing the most probable fMRI spatial subsets to guide EEG source localization in a time-variant fashion. In comparison with the traditional fMRI constrained EEG source imaging method in a visual/motor activation task study, the proposed method demonstrated superior localization accuracy with lower variation and identified neural activity patterns that agreed well with previous studies. This spatiotemporal fMRI constrained source imaging method was then implemented in a "sequential multievent-related potential" paradigm where motor activation is evoked by emotion-related visual stimuli. Results demonstrate that the proposed method can be used as a powerful neuroimaging tool to unveil the dynamics and neural networks associated with the central motor system, providing insights into neuroplasticity modulation mechanism.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.