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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…
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Keywords:
cognitive function;
based brain;
brain;
brain atrophy ... See more keywords
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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…
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Keywords:
fmri based;
brain;
based brain;
graph ... See more keywords
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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…
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Keywords:
bmi;
based brain;
electroencephalogram based;
brain machine ... See more keywords
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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…
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Keywords:
post stroke;
using bidomain;
based brain;
stroke patients ... See more keywords
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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…
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Keywords:
motor imagery;
multi objective;
based brain;
optimization ... See more keywords
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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…
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Keywords:
gfap uch;
health;
brain;
based brain ... See more keywords
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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…
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Keywords:
ssvep based;
multi objective;
brain computer;
based brain ... See more keywords
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Published in 2021 at "International journal of neural systems"
DOI: 10.1142/s0129065721500210
Abstract: Connected consciousness refers to the state when external stimuli can enter into the stream of our consciousness experience. Emerging evidence suggests that although patients may not respond behaviorally to external stimuli during anesthesia, they may…
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Keywords:
consciousness;
connected consciousness;
brain decoding;
eeg based ... See more keywords
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Published in 2022 at "Oxidative Medicine and Cellular Longevity"
DOI: 10.1155/2022/4834117
Abstract: Overcoming blood-brain barrier (BBB) to improve brain bioavailability of therapeutic drug remains an ongoing concern. Prodrug is one of the most reliable approaches for delivering agents with low-level BBB permeability into the brain. The well-known…
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Keywords:
bbb;
brain targeting;
brain;
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Published in 2021 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2021.612777
Abstract: Using P300-based brain–computer interfaces (BCIs) in daily life should take into account the user’s emotional state because various emotional conditions are likely to influence event-related potentials (ERPs) and consequently the performance of P300-based BCIs. This…
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Keywords:
p300 based;
based bci;
based brain;
p300 ... See more keywords
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Published in 2019 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2019.01033
Abstract: It is well-known that hyaluronic acid (HA) as a component of brain extracellular matrix (ECM) plays a pivotal role in the nervous system and is involved in synaptic plasticity changes in vascular cognitive impairment and…
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Keywords:
digestion hyaluronan;
based brain;
enzymatic digestion;
hyaluronan based ... See more keywords