Olaf Sporns

The paper decomposes whole-brain functional connectivity into framewise contributions, showing that individualized brain network 'events' drive connectivity patterns, which are distinct from group-averaged patterns.

The paper investigates cortico-subcortical interactions using edge communities and finds distinct coupling patterns between subcortical regions and cortical systems.

This study shows that higher intelligence is linked to less brain network reconfiguration across tasks, suggesting more efficient neural architecture.

The paper shows that modular structural connectivity shapes high-amplitude co-fluctuation events in simulated brain dynamics, mirroring empirical findings.

The paper analyzes edge communities in brain networks using the Midnight Scan Club dataset, showing they transcend traditional brain systems and reveal personalized patterns.

This paper introduces connectome embedding to model individual differences in brain structure-function-behavior relationships, showing improved prediction of age and intelligence.

The paper develops an edge-centric functional connectivity model to identify subject-specific features across different spatial scales and shows improved identifiability over traditional nodal FC.

This study compares the effects of ketamine and propofol anesthesia on brain dynamics using topological analysis of electrophysiological data from macaques, finding distinct structural differences in dynamic attractors.

The paper shows that inhibitory neurons dominate the rich-club structure in cortical microcircuits, influencing network dynamics through increased synchrony and longer neuronal avalanches.

This study examines how different anesthetics affect hippocampal network activity, spine dynamics, and memory consolidation in mice, finding distinct impacts on neural function and memory.

The paper introduces a method to analyze temporal fluctuations in functional connectivity by decomposing time series into binary patterns that reveal transient expression of brain functional systems.

This study compares how propofol and ketamine affect brain dynamics during anaesthesia, finding propofol reduces complexity and restricts critical dynamics more than ketamine.

This study identifies structural features of the human connectome that enable dynamic fluctuations between segregation and integration in resting-state fMRI functional connectivity.

The paper introduces an edge-centric network model to analyze brain connectivity, showing that edge functional connectivity is consistent across datasets and modulated by sensory input.

The paper develops a pipeline to generate age-specific MRI brain templates and growth charts for children and adolescents, revealing neurodevelopmental differences between Chinese and US populations.

The paper decomposes resting-state functional connectivity to show that high-amplitude activity frames drive most of the variance in connectivity patterns and modular structure.

The paper examines structural and functional connectivity in a two-layer multiplex network using MRI data, finding SC is assortative while FC is disassortative, with lateralized patterns in FC.

The paper examines how neuromodulators shape a low-dimensional integrative core in the brain that supports diverse cognitive tasks through dynamic neural activity patterns.

The paper shows that the right auditory cortex is more integrated in the brain network, enabling more efficient communication, with this asymmetry explained by diffusive communication mechanisms.

The paper examines age-related changes in structural brain networks during adolescence, finding decreased structural correlation and changes in nodal degree in association cortex.