[HTML][HTML] Progress of brain network studies on anesthesia and consciousness: framework and clinical applications
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 …
Distinct patterns of cortical manifold expansion and contraction underlie human sensorimotor adaptation
DJ Gale, CN Areshenkoff… - Proceedings of the …, 2022 - National Acad Sciences
Sensorimotor learning is a dynamic, systems-level process that involves the combined
action of multiple neural systems distributed across the brain. Although much is known about …
action of multiple neural systems distributed across the brain. Although much is known about …
Differential effects of propofol and ketamine on critical brain dynamics
Whether the brain operates at a critical “tipping” point is a long standing scientific question,
with evidence from both cellular and systems-scale studies suggesting that the brain does sit …
with evidence from both cellular and systems-scale studies suggesting that the brain does sit …
The neural basis of resting-state fMRI functional connectivity in fronto-limbic circuits revealed by chemogenetic manipulation
Measures of fMRI resting-state functional connectivity (rs-FC) are an essential tool for basic
and clinical investigations of fronto-limbic circuits. Understanding the relationship between …
and clinical investigations of fronto-limbic circuits. Understanding the relationship between …
Reconfigurations of cortical manifold structure during reward-based motor learning
Q Nick, DJ Gale, C Areshenkoff, A De Brouwer… - Elife, 2024 - elifesciences.org
Adaptive motor behavior depends on the coordinated activity of multiple neural systems
distributed across the brain. While the role of sensorimotor cortex in motor learning has been …
distributed across the brain. While the role of sensorimotor cortex in motor learning has been …
Cortical connectivity is embedded in resting state at columnar resolution
NS Card, OA Gharbawie - Progress in neurobiology, 2022 - Elsevier
Resting state (RS) fMRI is now widely used for gaining insight into the organization of brain
networks. Functional connectivity (FC) inferred from RS-fMRI is typically at macroscale …
networks. Functional connectivity (FC) inferred from RS-fMRI is typically at macroscale …
Frontal cortical functional connectivity is impacted by anaesthesia in macaques
C Giacometti, A Dureux, D Autran-Clavagnier… - Cerebral …, 2022 - academic.oup.com
A critical aspect of neuroscience is to establish whether and how brain networks evolved
across primates. To date, most comparative studies have used resting-state functional …
across primates. To date, most comparative studies have used resting-state functional …
[HTML][HTML] Meso-scale reorganization of local–global brain networks under mild sedation of propofol anesthesia
K Dong, L Zhang, Y Zhong, T Xu, Y Zhao, S Chen… - NeuroImage, 2024 - Elsevier
The fragmentation of the functional brain network has been identified through the functional
connectivity (FC) analysis in studies investigating anesthesia-induced loss of consciousness …
connectivity (FC) analysis in studies investigating anesthesia-induced loss of consciousness …
Recovery of brain network integration and segregation during the loss and recovery of consciousness induced by sevoflurane
K Dong, Q Wei, D Zhang, L Zhang… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Anesthetic-induced loss of consciousness (LOC) has been studied using functional
connectivity (FC) and functional network analysis (FNA), manifested as fragmentation of the …
connectivity (FC) and functional network analysis (FNA), manifested as fragmentation of the …
Stepwise covariance-free common principal components (CF-CPC) with an application to neuroscience
Finding the common principal component (CPC) for ultra-high dimensional data is a
multivariate technique used to discover the latent structure of covariance matrices of shared …
multivariate technique used to discover the latent structure of covariance matrices of shared …