[HTML][HTML] Progress of brain network studies on anesthesia and consciousness: framework and clinical applications
J Liu, K Dong, Y Sun, I Kakkos, F Huang, G Wang, P Qi… - Engineering, 2023 - Elsevier
Although the relationship between anesthesia and consciousness has been investigated for
decades, our understanding of the underlying neural mechanisms of anesthesia and …
decades, our understanding of the underlying neural mechanisms of anesthesia and …
Machine learning-guided anesthesiology: A review of recent advances and clinical applications
S Hashemi, Z Yousefzadeh, AA Abin… - Journal of Cellular & …, 2024 - brieflands.com
: Anesthesia is the process of inducing and experiencing various conditions, such as
painlessness, immobility, and amnesia, to facilitate surgeries and other medical procedures …
painlessness, immobility, and amnesia, to facilitate surgeries and other medical procedures …
Brain complexities and anesthesia: Their meaning and measurement
D Li, MS Fabus, JW Sleigh - Anesthesiology, 2022 - ingentaconnect.com
A complex system is often associated with emergence of new phenomena from the
interactions between the system's components. General anesthesia reduces brain …
interactions between the system's components. General anesthesia reduces brain …
Propofol-induced unresponsiveness is associated with a brain network phase transition
RM Pullon, CE Warnaby, JW Sleigh - Anesthesiology, 2022 - pmc.ncbi.nlm.nih.gov
Background: The wakeful brain can easily access and coordinate a large repertoire of
different states—dynamics suggestive of “criticality.” Anesthesia causes loss of criticality at …
different states—dynamics suggestive of “criticality.” Anesthesia causes loss of criticality at …
[HTML][HTML] Dynamic reconfiguration of frequency-specific cortical coactivation patterns during psychedelic and anesthetized states induced by ketamine
D Li, PE Vlisides, GA Mashour - Neuroimage, 2022 - Elsevier
Recent neuroimaging studies have demonstrated that spontaneous brain activity exhibits
rich spatiotemporal structure that can be characterized as the exploration of a repertoire of …
rich spatiotemporal structure that can be characterized as the exploration of a repertoire of …
EEG evidence reveals zolpidem-related alterations and prognostic value in disorders of consciousness
Z Hao, X **a, Y Bai, Y Wang, W Dou - Frontiers in Neuroscience, 2022 - frontiersin.org
Effective treatment and accurate long-term prognostication of patients with disorders of
consciousness (DOC) remain pivotal clinical issues and challenges in neuroscience …
consciousness (DOC) remain pivotal clinical issues and challenges in neuroscience …
Breakdown of long-range spatial correlations of infraslow amplitude fluctuations of EEG oscillations in patients with current and past major depressive disorder
D Sihn, JS Kim, OS Kwon, SP Kim - Frontiers in Psychiatry, 2023 - frontiersin.org
Introduction Identifying biomarkers for depression from brain activity is important for the
diagnosis and treatment of depression disorders. We investigated spatial correlations of the …
diagnosis and treatment of depression disorders. We investigated spatial correlations of the …
Gamma power and beta envelope correlation are potential neural predictors of deep hypnosis
Y Farahzadi, C Alldredge, Z Kekecs - Scientific Reports, 2024 - nature.com
Hypnosis is a psychological intervention that is commonly used to enhance the effectiveness
of therapeutic suggestions. Despite extensive fascination and study, the neural mechanisms …
of therapeutic suggestions. Despite extensive fascination and study, the neural mechanisms …
The consciousness domain index: External validation and prognostic relevance of a data-driven assessment
P Liuzzi, B Hakiki, A Magliacano… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
The prognosis of neurological outcomes in patients with prolonged Disorders of
Consciousness (pDoC) has improved in the last decades. Currently, the level of …
Consciousness (pDoC) has improved in the last decades. Currently, the level of …
Decoding emotion with phase–amplitude fusion features of EEG functional connectivity network
L Hu, C Tan, J Xu, R Qiao, Y Hu, Y Tian - Neural Networks, 2024 - Elsevier
Decoding emotional neural representations from the electroencephalographic (EEG)-based
functional connectivity network (FCN) is of great scientific importance for uncovering …
functional connectivity network (FCN) is of great scientific importance for uncovering …