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   Articles with "multimodal brain" as a keyword



BrainFusion: a Low‐Code, Reproducible, and Deployable Software Framework for Multimodal Brain‒Computer Interface and Brain‒Body Interaction Research

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recommendations! Published in 2025 at "Advanced Science"

DOI: 10.1002/advs.202417408

Abstract: This study presents BrainFusion, a unified software framework designed to improve reproducibility and support translational applications in multimodal brain–computer interface (BCI) and brain–body interaction research. While electroencephalography (EEG)‐based BCIs have advanced considerably, integrating multimodal physiological… read more here.

Keywords: brain; brainfusion; brain computer; research ... See more keywords

Segmentation of the multimodal brain tumor image used the multi-pathway architecture method based on 3D FCN

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recommendations! Published in 2021 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.10.031

Abstract: Abstract Segmentation of multimodal brain tissues from 3D medical images is of great significance for brain diagnosis. It is required to create an automated and accurate segmentation based on deep-learning network due to the manual… read more here.

Keywords: multimodal brain; segmentation; multi pathway; segmentation multimodal ... See more keywords

Multimodal brain imaging with magnetoencephalography: A method for measuring blood pressure and cardiorespiratory oscillations

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recommendations! Published in 2017 at "Scientific Reports"

DOI: 10.1038/s41598-017-00293-7

Abstract: Studies with magnetoencephalography (MEG) are still quite rarely combined simultaneously with methods that can provide a metabolic dimension to MEG investigations. In addition, continuous blood pressure measurements which comply with MEG compatibility requirements are lacking.… read more here.

Keywords: multimodal brain; cardiorespiratory; blood; blood pressure ... See more keywords

MMI-Fuse: Multimodal Brain Image Fusion With Multiattention Module

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3163260

Abstract: Medical imaging plays a pivotal role in the clinical diagnosis of brain disease. There are many imaging methods to detect the state of tissues in the brain. While these imaging methods have advantages, they also… read more here.

Keywords: fusion; brain image; multimodal brain; image fusion ... See more keywords

mBGT: Encoding Brain Signals With Multimodal Brain Graph Transformer

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recommendations! Published in 2025 at "IEEE Transactions on Consumer Electronics"

DOI: 10.1109/tce.2024.3425478

Abstract: Leveraging the multimodal brain signals collected from various electronic devices, such as electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) data, has been regarded as a promising technique for automated brain disease diagnosis. Existing studies on… read more here.

Keywords: brain; brain graph; brain signals; graph transformer ... See more keywords

Multimodal Brain Monitoring-Guided Anesthesia Management Improves Functional Connectivity, Enhances Recovery and Attenuates Postoperative Pain in Elderly Surgical Patients

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recommendations! Published in 2025 at "Clinical Interventions in Aging"

DOI: 10.2147/cia.s551727

Abstract: Purpose Perioperative neurocognitive disorder (PND) is common in elderly surgical patients and severely affects postoperative recovery. However, effective prevention is still lacking. Potential perioperative cerebral stressors (including inappropriate sedative/analgesic depth and imbalanced cerebral oxygen supply/demand)… read more here.

Keywords: brain monitoring; management; multimodal brain; guided anesthesia ... See more keywords

Multimodal Brain Connectomics-Based Prediction of Parkinson’s Disease Using Graph Attention Networks

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recommendations! Published in 2021 at "Frontiers in Neuroscience"

DOI: 10.3389/fnins.2021.741489

Abstract: Background A multimodal connectomic analysis using diffusion and functional MRI can provide complementary information on the structure–function network dynamics involved in complex neurodegenerative network disorders such as Parkinson’s disease (PD). Deep learning-based graph neural network… read more here.

Keywords: connectomics; multimodal brain; attention; network ... See more keywords