Olaf Sporns

Hierarchical Community Structure of the Adult Drosophila Connectome Reveals Conserved Circuit Archetypes

The paper analyzes the Drosophila connectome to reveal hierarchical community structures and identifies functional circuit archetypes.

Trait-Relevant Tasks Improve Personality Prediction from Structural-Functional Brain Network Coupling

The paper shows that trait-relevant tasks improve personality prediction from structural-functional brain network coupling during resting state and specific tasks.

Structural signatures of synergy and redundancy in human brain function

This study uses multivariate information theory to show how structural features of the human connectome influence higher-order information sharing, revealing distinct structural profiles for redundant and synergistic brain region subsets.

Decoding the Human Brain during Intelligence Testing

This study investigates how brain connectivity and dynamics across temporal and spatial scales relate to intelligence test performance using fMRI and EEG data.

No Disconnection Syndrome after Near-Complete Callosotomy

The paper shows that retaining only the splenium of the corpus callosum prevents disconnection syndrome, suggesting minimal pathways can maintain functional unity.

Full inter-hemispheric integration sustained by a fraction of posterior callosal fibers

The paper shows that a small portion of posterior callosal fibers can sustain full inter-hemispheric integration, challenging the traditional topographic model of callosal organization.

Leveraging multivariate information for community detection in functional brain networks

This paper introduces a community detection algorithm for functional brain networks that accounts for higher-order interactions and identifies redundant modules, revealing new organizational patterns in the transmodal cortex.

Emergence of a synergistic scaffold in the brains of human infants

This study identifies the emergence of a synergistic scaffold in the human brain around birth, influenced by environmental factors and linked to later neurocognitive development.

Revealing non-trivial information structures in aneural biological tissues via functional connectivity

The paper uses functional connectivity networks to analyze calcium dynamics in non-neural tissues, revealing non-random structural and informational patterns post-injury.

Time-varying synergy/redundancy dominance in the human cerebral cortex

The paper analyzes time-varying synergy and redundancy dominance in fMRI BOLD signals during rest, finding that whole-brain synergy is rare and that optimized subsets show recurrent functional systems.

Connectome architecture favours within-module diffusion and between-module routing

The paper investigates how connectome architecture supports dual communication modes, showing that modular networks enable within-module diffusion and between-module routing across multiple organisms.

Temporal Variability of Brain-Behavior Relationships in Fine-Scale Dynamics of Edge Time Series

The paper shows that selecting specific time points from fMRI data improves brain-behavior correlations compared to full scan data across multiple behaviors.

The brain cortical similarity network: Development and sensitivity to early life stress in a rat model

The paper uses MRI similarity network analysis to study how early life stress affects cortical network development in rats, finding altered inter-areal similarity in key brain regions.

Cell Type Differentiation Using Network Clustering Algorithms

This study compares clustering algorithms for cell type annotation in scRNA-seq data, finding that Infomap outperforms others in identifying cell types in PBMC and ROSMAP datasets.

Choosing explanation over performance: Insights from machine learning-based prediction of human intelligence from brain connectivity

This study predicts human intelligence from brain connectivity with a focus on interpretability, finding that multiple brain connections across the system contribute to intelligence prediction.

Structural-Functional Brain Network Coupling During Task Performance Reveals Intelligence-Relevant Communication Strategies

The paper predicts general intelligence using structural-functional brain network coupling during task performance and resting state.

Structural-Functional Brain Network Coupling Predicts Human Cognitive Ability

The paper investigates how structural-functional brain network coupling relates to individual differences in general cognitive ability using data from the Human Connectome Project.

Synchronous high-amplitude co-fluctuations of functional brain networks during movie-watching

The paper analyzes brain network events during movie-watching, identifying three synchronization classes and their distinct characteristics.

Co-Evolving Dynamics and Topology in a Coupled Oscillator Model of Resting Brain Function

This paper introduces a coupled oscillator model that dynamically limits brain network communication, showing it better fits empirical functional connectivity than standard models.

Few temporally distributed brain connectivity states predict human cognitive abilities

The paper shows that 16 time frames of high brain connectivity can predict intelligence, but network-defining states do not, and results replicate in an independent sample.

Fine-scale dynamics of functional connectivity in the face processing network during movie watching

This study examines inter-subject functional connectivity during movie watching and finds correlations with face recognition scores, revealing dynamics in attentional and memory networks.

Communication dynamics in the human connectome shape the cortex-wide propagation of direct electrical stimulation

The paper uses intracranial EEG data to show that structural connectivity models can predict the propagation of electrical brain stimulation across the cortex.

Information processing dynamics in neural networks of macaque cerebral cortex reflect cognitive state and behavior.

The paper analyzes information processing dynamics in macaque brain areas during a grasping task, showing dynamic inter-area processing and neuron-level reconfiguration based on cognitive demands.

Hierarchical organization of spontaneous co-fluctuations in densely-sampled individuals using fMRI

This study identifies hierarchical co-fluctuation patterns in brain activity using fMRI data from two dense-sampling studies, revealing multi-scale organization of brain systems.

A connectomics-based taxonomy of mammals

This paper compares neural connectomes across 124 mammalian species using a unified protocol, finding that connectome organization aligns with traditional taxonomies.

Multi-modal and multi-subject modular organization of human brain networks

This paper investigates the relationship between anatomical and functional modular organization of the human brain using a novel multi-layer framework across multiple subjects.

Edge-centric analysis of time-varying functional brain networks with applications in autism spectrum disorder

This study compares edge-centric and sliding window methods for analyzing time-varying functional brain networks in ASD and healthy controls, finding distinct dynamic patterns in co-fluctuations.

Self-organization of in vitro neuronal assemblies drives to complex network topology

The paper studies how neuronal network topology evolves in vitro by analyzing electrophysiological signals from rat hippocampal cultures, finding increasing integration and complex topological features.

Network communication models narrow the gap between the modular organization of structural and functional brain networks

The paper shows that adding models of indirect neural communication to structural brain networks better aligns their modular organization with functional systems.

Multi-policy models of interregional communication in the human connectome

The paper introduces a multi-policy communication framework for the human connectome that outperforms existing models and explains variance in time-varying functional connectivity.