Joint domain symmetry and predictive balance for cross-dataset EEG emotion recognition
Background: Cross-dataset EEG emotion recognition is an extremely challenging task, since
data distributions of EEG from different datasets are greatly different, which makes the …
data distributions of EEG from different datasets are greatly different, which makes the …
Resting-state network predicts the decision-making behaviors of the proposer during the ultimatum game
Y Li, Q Yang, Y Liu, R Wang, Y Zheng… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. The decision-making behavior of the proposer is a key factor in achieving
effective and equitable maintenance of social resources, particularly in economic …
effective and equitable maintenance of social resources, particularly in economic …
Schizophrenia induces abnormal frequency-dependent patterns of dynamic brain network reconfiguration during an auditory oddball task
Objective. Schizophrenia is a psychiatric disorder that has been shown to disturb the
dynamic top-down processing of sensory information. Various imaging techniques have …
dynamic top-down processing of sensory information. Various imaging techniques have …
The electrophysiology and structural difference between humans with distinct risky preference: a study based on EEG and MRI
Risky decision-making is affected by past feedback, especially after encountering the
beneficial loss in the past decision-making round, yet little is known about the mechanism …
beneficial loss in the past decision-making round, yet little is known about the mechanism …
Recognition of general anesthesia-induced loss of consciousness based on the spatial pattern of the brain networks
Objective. Unconsciousness is a key feature related to general anesthesia (GA) but is
difficult to be evaluated accurately by anesthesiologists clinically. Approach. To tracking the …
difficult to be evaluated accurately by anesthesiologists clinically. Approach. To tracking the …
The frontooccipital interaction mechanism of high-frequency acoustoelectric signal
X Song, P Huang, X Chen, M Xu, D Ming - Cerebral Cortex, 2023 - academic.oup.com
Based on acoustoelectric effect, acoustoelectric brain imaging has been proposed, which is
a high spatiotemporal resolution neural imaging method. At the focal spot, brain electrical …
a high spatiotemporal resolution neural imaging method. At the focal spot, brain electrical …
Brain state and dynamic transition patterns of motor imagery revealed by the bayes hidden markov model
Y Liu, S Yu, J Li, J Ma, F Wang, S Sun, D Yao… - Cognitive …, 2024 - Springer
Motor imagery (MI) is a high-level cognitive process that has been widely applied to brain-
computer inference (BCI) and motor recovery. In practical applications, however, huge …
computer inference (BCI) and motor recovery. In practical applications, however, huge …
Dynamic networks of P300-related process
P300 as an effective biomarker to index attention and memory has been widely used for
brain-computer interface, cognitive evaluation, and clinical diagnosis. To evoke clear P300 …
brain-computer interface, cognitive evaluation, and clinical diagnosis. To evoke clear P300 …
Novel Approaches to Large-Scale Data in Neuroimaging
M Tharp, SL Risacher, P Bice… - The Sage Handbook …, 2024 - sk.sagepub.com
Sage Reference - The Sage Handbook of Cognitive and Systems Neuroscience - Novel
Approaches to Large-Scale Data in Neuroimaging Skip to main content About Browse …
Approaches to Large-Scale Data in Neuroimaging Skip to main content About Browse …