Research on nonstroke dementia screening and cognitive function prediction model for older people based on brain atrophy characteristics
Sign Up to like & getrecommendations! Published in 2022 at "Brain and Behavior"
DOI: 10.1002/brb3.2726
Abstract: Brain atrophy is an important feature in dementia and is meaningful to explore a brain atrophy model to predict dementia. Using machine learning algorithm to establish a dementia model and cognitive function model based on… read more here.
Keywords: cognitive function; based brain; brain; brain atrophy ... See more keywords
Explainable fMRI‐based brain decoding via spatial temporal‐pyramid graph convolutional network
Sign Up to like & getrecommendations! Published in 2022 at "Human Brain Mapping"
DOI: 10.1002/hbm.26255
Abstract: Brain decoding, aiming to identify the brain states using neural activity, is important for cognitive neuroscience and neural engineering. However, existing machine learning methods for fMRI‐based brain decoding either suffer from low classification performance or… read more here.
Keywords: fmri based; brain; based brain; graph ... See more keywords
S3-3. Clinical application of electroencephalogram-based brain-machine interfaces
Sign Up to like & getrecommendations! Published in 2018 at "Clinical Neurophysiology"
DOI: 10.1016/j.clinph.2018.02.036
Abstract: A large number of electroencephalogram-based brain-machine interface (BMI) systems developed by industry and academia are now available for neurorehabilitation. However, the lack of phase 1–2 clinical trials for BMI interventions to post-stroke hemiplegia has been… read more here.
Keywords: bmi; based brain; electroencephalogram based; brain machine ... See more keywords
Function Based Brain Modeling and Simulation of an Ischemic Region in Post-Stroke Patients using the Bidomain
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Neuroscience Methods"
DOI: 10.1016/j.jneumeth.2019.108464
Abstract: BACKGROUND Several studies have shown that post-stroke patients develop divergent activity in the sensorimotor areas of the affected hemisphere of the brain compared to healthy people during motor tasks. Proper mathematical models will help us… read more here.
Keywords: post stroke; using bidomain; based brain; stroke patients ... See more keywords
Recent advances in nanomaterial-based brain-targeted delivery systems for glioblastoma therapy.
Sign Up to like & getrecommendations! Published in 2025 at "Nanomedicine"
DOI: 10.1080/17435889.2025.2503694
Abstract: Glioblastoma (GBM) poses a formidable challenge because of its high morbidity and mortality. The therapeutic efficacy of GBM is significantly hampered by the intricate blood-brain barrier (BBB) and blood-brain tumor barrier (BBTB). Nanomaterial-based brain-targeted delivery… read more here.
Keywords: brain targeted; brain; delivery systems; delivery ... See more keywords
Cluster decomposing and multi-objective optimization based-ensemble learning framework for motor imagery-based brain–computer interfaces
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/abe20f
Abstract: Objective. Motor imagery (MI) is a mental representation of motor behavior and a widely used pattern in electroencephalogram (EEG) based brain–computer interface (BCI) systems. EEG is known for its non-stationary, non-linear features and sensitivity to… read more here.
Keywords: motor imagery; multi objective; based brain; optimization ... See more keywords
Comparisons of stimulus paradigms for SSVEP-based brain–computer interfaces
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/adce32
Abstract: Objective. With the recent development of visual evoked potential (VEP) based brain–computer interfaces (BCIs), the stimulus paradigm has been continuously innovated, in which the pursuit of higher BCI performance and better user experience has become… read more here.
Keywords: stimulus; stimulus paradigms; brain computer; computer interfaces ... See more keywords
Cost-Effectiveness of Blood-Based Brain Biomarkers for Screening Adults with Mild Traumatic Brain Injury in the French Health Care Setting
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Neurotrauma"
DOI: 10.1089/neu.2022.0270
Abstract: Two blood-based brain biomarker tests such as the combination of glial fibrillary acidic protein and ubiquitin C-terminal hydrolase-L1 (GFAP+UCH-L1) or S100B have potential to reduce the need for head computed tomography (CT) scanning in patients… read more here.
Keywords: gfap uch; health; brain; based brain ... See more keywords
A Gait Imagery-Based Brain–Computer Interface With Visual Feedback for Spinal Cord Injury Rehabilitation on Lokomat
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2024.3440036
Abstract: Objective: Motor Imagery (MI)-based Brain-Computer Interfaces (BCIs) have been proposed for the rehabilitation of people with disabilities, being a big challenge their successful application to restore motor functions in individuals with Spinal Cord Injury (SCI).… read more here.
Keywords: rehabilitation; gait; imagery; gait imagery ... See more keywords
Multi-Objective Optimization-Based High-Pass Spatial Filtering for SSVEP-Based Brain–Computer Interfaces
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3146950
Abstract: Many spatial filtering methods have been proposed to enhance the target identification performance for the steady-state visual evoked potential (SSVEP)-based brain–computer interface (BCI). The existing approaches tend to learn spatial filter parameters of a certain… read more here.
Keywords: ssvep based; multi objective; brain computer; based brain ... See more keywords
Amplitude Modulation Depth Coding Method for SSVEP-Based Brain–Computer Interfaces
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2025.3528409
Abstract: In steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs), the limited availability of frequency resources inherently constrains the scale of the instruction set, presenting a substantial challenge for efficient communication. As the number of stimuli… read more here.
Keywords: method; ssvep based; modulation depth; modulation ... See more keywords