Theory of the multiregional neocortex: large-scale neural dynamics and distributed cognition
XJ Wang - Annual review of neuroscience, 2022 - annualreviews.org
The neocortex is a complex neurobiological system with many interacting regions. How
these regions work together to subserve flexible behavior and cognition has become …
these regions work together to subserve flexible behavior and cognition has become …
[HTML][HTML] Geometric constraints on human brain function
The anatomy of the brain necessarily constrains its function, but precisely how remains
unclear. The classical and dominant paradigm in neuroscience is that neuronal dynamics …
unclear. The classical and dominant paradigm in neuroscience is that neuronal dynamics …
[HTML][HTML] Dynamic sensitivity analysis: Defining personalised strategies to drive brain state transitions via whole brain modelling
Traditionally, in neuroimaging, model-free analyses are used to find significant differences
between brain states via signal detection theory. Depending on the a priori assumptions …
between brain states via signal detection theory. Depending on the a priori assumptions …
Characterization of regional differences in resting-state fMRI with a data-driven network model of brain dynamics
Model-based data analysis of whole-brain dynamics links the observed data to model
parameters in a network of neural masses. Recently, studies focused on the role of regional …
parameters in a network of neural masses. Recently, studies focused on the role of regional …
A synergistic core for human brain evolution and cognition
How does the organization of neural information processing enable humans' sophisticated
cognition? Here we decompose functional interactions between brain regions into …
cognition? Here we decompose functional interactions between brain regions into …
Uncovering the biological basis of control energy: Structural and metabolic correlates of energy inefficiency in temporal lobe epilepsy
Network control theory is increasingly used to profile the brain's energy landscape via
simulations of neural dynamics. This approach estimates the control energy required to …
simulations of neural dynamics. This approach estimates the control energy required to …
A synergistic workspace for human consciousness revealed by integrated information decomposition
How is the information-processing architecture of the human brain organised, and how does
its organisation support consciousness? Here, we combine network science and a rigorous …
its organisation support consciousness? Here, we combine network science and a rigorous …
[HTML][HTML] Performance reserves in brain-imaging-based phenotype prediction
This study examines the impact of sample size on predicting cognitive and mental health
phenotypes from brain imaging via machine learning. Our analysis shows a 3-to 9-fold …
phenotypes from brain imaging via machine learning. Our analysis shows a 3-to 9-fold …
Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain's control energy landscape
Psychedelics including lysergic acid diethylamide (LSD) and psilocybin temporarily alter
subjective experience through their neurochemical effects. Serotonin 2a (5-HT2a) receptor …
subjective experience through their neurochemical effects. Serotonin 2a (5-HT2a) receptor …
Asymmetric signaling across the hierarchy of cytoarchitecture within the human connectome
Cortical variations in cytoarchitecture form a sensory-fugal axis that shapes regional profiles
of extrinsic connectivity and is thought to guide signal propagation and integration across …
of extrinsic connectivity and is thought to guide signal propagation and integration across …