Vincent Bazinet

Structure-function coupling in the human brainstem

This study reconstructs brainstem connectomes using MRI and finds structural and functional connectivity correlations, revealing heterogeneous structure-function coupling across brainstem nuclei.

netneurotools: a trainee-oriented approach to network neuroscience

The paper introduces netneurotools, a Python toolkit developed by trainees to streamline brain imaging workflows by integrating diverse data types and addressing interoperability challenges.

Cerebral vasculature shapes the spatial patterning of brain metastases

The paper maps brain metastases from breast, lung, and melanoma cancers to vascular anatomy, showing that vascular features predict metastatic patterns.

Homophily-informed generative models of brain maps

This paper introduces a generative model of brain maps based on homophily and shows it can accurately reconstruct maps using biological and functional similarity.

Benchmarking spatial interpolation methods for brain maps

This study benchmarks spatial interpolation methods for brain maps, finding that stochastic frameworks like Ordinary Kriging and Regression Kriging outperform deterministic methods in accuracy and biological realism.

Controlling the human connectome with spatially diffuse input signals

This paper adapts network control theory to model spatially diffuse input signals in the human brain, showing reduced energy for state transitions and matching existing neurobiological maps.

Network Spreading and Local Biological Vulnerability in Amyotrophic Lateral Sclerosis

This study examines how network structure and local biological features influence spatial patterns of cortical atrophy in ALS using the CALSNIC dataset.

Brain network dynamics determine tau presence while regional vulnerability governs tau load in Alzheimer's disease

This study investigates how brain network dynamics and regional vulnerability influence tau propagation and load in Alzheimer's disease using multi-scale simulations.

The effect of spherical projection on spin tests for brain maps

This study shows that spherical projection in spin tests distorts spatial relationships, leading to inflated false positives, and suggests removing high-distortion spins to improve accuracy.

A simulated annealing algorithm for randomizing weighted networks

This paper introduces a simulated annealing algorithm for randomizing weighted networks while preserving strength sequences, outperforming existing methods and showing broad applicability in neuroscience and beyond.

Assortative mixing in micro-architecturally annotated brain connectomes

The paper investigates assortative mixing in brain connectomes by analyzing how micro-architectural attributes influence macroscale connectivity across species.

Resolving inter-regional communication capacity in the human connectome

The paper develops a method to analyze inter-regional communication in the brain connectome and finds that communication pathways align with functional systems and higher-order cognitive functions.

The central autonomic system revisited - convergent evidence for a regulatory role of the insular and midcingulate cortex from neuroimaging meta-analyses

This paper uses neuroimaging meta-analyses to identify the insular and midcingulate cortex as key regions of the central autonomic system, showing task-independent and task-specific roles in autonomic signal processing.

Neuromaps: structural and functional interpretation of brain maps

Neuromaps provides a software package to standardize and compare brain maps across different coordinate systems, enabling comprehensive annotation analysis of the human brain.

Multiscale communication in cortico-cortical networks

The paper examines how cortico-cortical networks mediate localized and global communication by analyzing the functional connectivity of unimodal and multimodal brain regions across multiple scales.

Global network structure and local transcriptomic vulnerability shape atrophy in sporadic and genetic behavioral variant frontotemporal dementia

This study shows that atrophy patterns in bvFTD are shaped by both global brain network structure and local transcriptomic vulnerability from disease-related genes.