ReviewIEEE reviews in biomedical engineering2008
Multimodal functional neuroimaging: integrating functional MRI and EEG/MEG.
Review in IEEE reviews in biomedical engineering, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 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
71 citing papers in PubMed.
- Lateralization and localization of epilepsy related hemodynamic foci using presurgical fMRI.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2015Trial
- Quantitative mapping of prefrontal oxygenation dysfunction and neuropsychiatric symptoms in patients with systemic lupus erythematosus: a multichannel functional near-infrared spectroscopy study.Lupus science & medicine · 2026Article
- A geometry aware framework enhances noninvasive mapping of whole human brain dynamics.Nature biomedical engineering · 2026Article
- Resting-state and task-state fNIRS fusion assessment method for upper limb motor function in stroke patients.Journal of neuroengineering and rehabilitation · 2026Article
- Editorial: Multimodal brain data integration and computational modeling.Frontiers in neuroinformatics · 2026Article
- Investigating the neurovascular coupling across multiple motor execution and imagery conditions: a whole-brain EEG-informed fMRI analysis.NeuroImage · 2025Article
- Simultaneously Acquired Magnetoencephalography and Diffuse Optical Tomography Data Reveals Correlated Somatosensory Activity.Human brain mapping · 2025Article
- A Discussion of a Case of Paradoxical Ipsilateral Hemiparesis in a Patient Diagnosed with Pterional Meningioma.Journal of clinical medicine · 2025Article
- WAND: A multi-modal dataset integrating advanced MRI, MEG, and TMS for multi-scale brain analysis.Scientific data · 2025Article
- Enhancing Attention Network Spatiotemporal Dynamics for Motor Rehabilitation in Parkinson's Disease.Cyborg and bionic systems (Washington, D.C.) · 2025Article
- Extracting interpretable signatures of whole-brain dynamics through systematic comparison.PLoS computational biology · 2024Article
- Emotion Recognition Based on a EEG-fNIRS Hybrid Brain Network in the Source Space.Brain sciences · 2024Article
- Enhancing Epilepsy Seizure Detection Through Advanced EEG Preprocessing Techniques and Peak-to-Peak Amplitude Fluctuation Analysis.Diagnostics (Basel, Switzerland) · 2024Article
- Advances, challenges, and prospects of electroencephalography-based biomarkers for psychiatric disorders: a narrative review.Journal of Yeungnam medical science · 2024Article
- Mobile neuroimaging: What we have learned about the neural control of human walking, with an emphasis on EEG-based research.Neuroscience and biobehavioral reviews · 2024Review
- Extracting interpretable signatures of whole-brain dynamics through systematic comparison.bioRxiv : the preprint server for biology · 2024Article
- Modulation of hippocampal theta oscillations via deep brain stimulation of the parietal cortex depends on cognitive state.Cortex; a journal devoted to the study of the nervous system and behavior · 2024Article
- Network disruption based on multi-modal EEG-MRI in α-synucleinopathies.Frontiers in neurology · 2024Article
- A revisit of the amygdala theory of autism: Twenty years after.Neuropsychologia · 2023Review
- Neuro-nanotechnology: diagnostic and therapeutic nano-based strategies in applied neuroscience.Biomedical engineering online · 2023Review
11 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Noninvasive functional neuroimaging, as an important tool for basic neuroscience research and clinical diagnosis, continues to face the need of improving the spatial and temporal resolution. While existing neuroimaging modalities might approach their limits in imaging capability mostly due to fundamental as well as technical reasons, it becomes increasingly attractive to integrate multiple complementary modalities in an attempt to significantly enhance the spatiotemporal resolution that cannot be achieved by any modality individually. Electrophysiological and hemodynamic/metabolic signals reflect distinct but closely coupled aspects of the underlying neural activity. Combining fMRI and EEG/MEG data allows us to study brain function from different perspectives. In this review, we start with an overview of the physiological origins of EEG/MEG and fMRI, as well as their fundamental biophysics and imaging principles, we proceed with a review of the major advances in the understanding and modeling of neurovascular coupling and in the methodologies for the fMRI-EEG/MEG simultaneous recording. Finally, we summarize important remaining issues and perspectives concerning multimodal functional neuroimaging, including brain connectivity imaging.
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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.