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 …

[HTML][HTML] Geometric constraints on human brain function

JC Pang, KM Aquino, M Oldehinkel, PA Robinson… - Nature, 2023 - nature.com
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 …

[HTML][HTML] Dynamic sensitivity analysis: Defining personalised strategies to drive brain state transitions via whole brain modelling

J Vohryzek, J Cabral, F Castaldo, Y Sanz-Perl… - Computational and …, 2023 - Elsevier
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 …

Characterization of regional differences in resting-state fMRI with a data-driven network model of brain dynamics

V Sip, M Hashemi, T Dickscheid, K Amunts… - Science …, 2023 - science.org
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 …

A synergistic core for human brain evolution and cognition

AI Luppi, PAM Mediano, FE Rosas, N Holland… - Nature …, 2022 - nature.com
How does the organization of neural information processing enable humans' sophisticated
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

X He, L Caciagli, L Parkes, J Stiso, TM Karrer… - Science …, 2022 - science.org
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 …

A synergistic workspace for human consciousness revealed by integrated information decomposition

AI Luppi, PAM Mediano, FE Rosas, J Allanson… - Elife, 2024 - elifesciences.org
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 …

[HTML][HTML] Performance reserves in brain-imaging-based phenotype prediction

MA Schulz, D Bzdok, S Haufe, JD Haynes, K Ritter - Cell Reports, 2024 - cell.com
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 …

Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain's control energy landscape

SP Singleton, AI Luppi, RL Carhart-Harris… - Nature …, 2022 - nature.com
Psychedelics including lysergic acid diethylamide (LSD) and psilocybin temporarily alter
subjective experience through their neurochemical effects. Serotonin 2a (5-HT2a) receptor …

Asymmetric signaling across the hierarchy of cytoarchitecture within the human connectome

L Parkes, JZ Kim, J Stiso, ME Calkins, M Cieslak… - Science …, 2022 - science.org
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 …