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Published in 2018 at "Psychiatry and Clinical Psychopharmacology"
DOI: 10.1080/24750573.2018.1542779
Abstract: ABSTRACT OBJECTIVE In this study we investigated the stimulant methylphenidate (MPH) effects in Attention deficit hyperactivity disorder (ADHD) from neuroimaging and neurophysiological perspective by simultaneous recording functional near infrared spectroscopy (fNIRS) and electroencephalography (EEG) during…
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Keywords:
mph;
multimodal eeg;
eeg fnirs;
children adhd ... See more keywords
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Published in 2017 at "IEEE Access"
DOI: 10.1109/access.2017.2723428
Abstract: Understanding the actions of other people is a key component of social interaction. This paper used an electroencephalography and functional near infrared spectroscopy (EEG-fNIRS) bimodal system to investigate the temporal-spatial features of action intention understanding.…
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Keywords:
spatial features;
fnirs bimodal;
temporal spatial;
eeg fnirs ... See more keywords
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3
Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3276509
Abstract: Hybrid brain–computer interfaces (BCI) utilizing the high temporal resolution of electroencephalography (EEG) and the high spatial resolution of functional near-infrared spectroscopy (fNIRS) are preferred over single-modal BCIs. However, due to the large dimensionality of the…
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Keywords:
general linear;
brain computer;
eeg fnirs;
eeg ... See more keywords
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Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3144216
Abstract: Robot-assisted bimanual training is promising to improve motor function and cortical reorganization for hemiparetic stroke patients. Closing the rehabilitation training loop with neurofeedback can help refine training protocols in time for better engagements and outcomes.…
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Keywords:
characterization bimanual;
bimanual training;
bimanual cyclical;
eeg fnirs ... See more keywords
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Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3149899
Abstract: Non-invasive brain-computer interfaces (BCIs) have been widely used for neural decoding, linking neural signals to control devices. Hybrid BCI systems using electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) have received significant attention for overcoming the…
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Keywords:
network;
guided attention;
fnirs guided;
eeg fnirs ... See more keywords
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3
Published in 2022 at "Psychophysiology"
DOI: 10.1111/psyp.14054
Abstract: Neurovascular coupling is a key physiological mechanism that occurs in the healthy human brain, and understanding this process has implications for understanding the aging and neuropsychiatric populations. Combined electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS)…
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Keywords:
neurovascular coupling;
coupling lens;
viewing neurovascular;
combined eeg ... See more keywords
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Published in 2017 at "PLoS ONE"
DOI: 10.1371/journal.pone.0187743
Abstract: On sedation motivated by the clinical needs for safety and reliability, recent studies have attempted to identify brain-specific signatures for tracking patient transition into and out of consciousness, but the differences in neurophysiological effects between…
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Keywords:
consciousness;
spatio temporal;
sedation;
eeg fnirs ... See more keywords
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1
Published in 2022 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2022.873239
Abstract: The constantly evolving human–machine interaction and advancement in sociotechnical systems have made it essential to analyze vital human factors such as mental workload, vigilance, fatigue, and stress by monitoring brain states for optimum performance and…
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Keywords:
time;
bci;
cnn lstm;
brain ... See more keywords
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Published in 2022 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2022.973959
Abstract: Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) have potentially complementary characteristics that reflect the electrical and hemodynamic characteristics of neural responses, so EEG-fNIRS-based hybrid brain-computer interface (BCI) is the research hotspots in recent years. However,…
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Keywords:
domain;
eeg fnirs;
domain features;
multi domain ... See more keywords
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Published in 2023 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.1062889
Abstract: Introduction Many research papers have reported successful implementation of hybrid brain-computer interfaces by complementarily combining EEG and fNIRS, to improve classification performance. However, modality or feature fusion of EEG and fNIRS was usually designed for…
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Keywords:
fusion;
early stage;
stage fusion;
eeg fnirs ... See more keywords