Brain network communication: concepts, models and applications
Understanding communication and information processing in nervous systems is a central
goal of neuroscience. Over the past two decades, advances in connectomics and network …
goal of neuroscience. Over the past two decades, advances in connectomics and network …
[HTML][HTML] Blurred streamlines: A novel representation to reduce redundancy in tractography
Tractography is a powerful tool to study brain connectivity in vivo, but it is well known to
suffer from an intrinsic trade-off between sensitivity and specificity. A critical–but usually …
suffer from an intrinsic trade-off between sensitivity and specificity. A critical–but usually …
Systematic evaluation of fMRI data-processing pipelines for consistent functional connectomics
Functional interactions between brain regions can be viewed as a network, enabling
neuroscientists to investigate brain function through network science. Here, we …
neuroscientists to investigate brain function through network science. Here, we …
versaFlow: a versatile pipeline for resolution adapted diffusion MRI processing and its application to studying the variability of the PRIME-DE database
The lack of “gold standards” in Diffusion Weighted Imaging (DWI) makes validation
cumbersome. To tackle this task, studies use translational analysis where results in humans …
cumbersome. To tackle this task, studies use translational analysis where results in humans …
Open datasets and code for multi-scale relations on structure, function and neuro-genetics in the human brain
The human brain is an extremely complex network of structural and functional connections
that operate at multiple spatial and temporal scales. Investigating the relationship between …
that operate at multiple spatial and temporal scales. Investigating the relationship between …
Eigenmodes of the brain: revisiting connectomics and geometry
Eigenmodes can be derived from various structural brain properties, including cortical
surface geometry and interareal axonal connections comprising an organism's connectome …
surface geometry and interareal axonal connections comprising an organism's connectome …
[HTML][HTML] Predicting an individual's functional connectivity from their structural connectome: Evaluation of evidence, recommendations, and future prospects
Several recent studies have optimized deep neural networks to learn high-dimensional
relationships linking structural and functional connectivity across the human connectome …
relationships linking structural and functional connectivity across the human connectome …
Discovering prominent differences in structural and functional connectomes using a multinomial stochastic block model
Understanding the differences between functional and structural human brain connectivity
has been a focus of an extensive amount of neuroscience research. We employ a novel …
has been a focus of an extensive amount of neuroscience research. We employ a novel …
Combining multimodal connectivity information improves modelling of pathology spread in Alzheimer's disease
Cortical atrophy and aggregates of misfolded tau proteins are key hallmarks of Alzheimer's
disease. Computational models that simulate the propagation of pathogens between …
disease. Computational models that simulate the propagation of pathogens between …
Spectral normative modeling of brain structure
Normative modeling in neuroscience aims to characterize interindividual variation in brain
phenotypes and thus establish reference ranges, or brain charts, against which individual …
phenotypes and thus establish reference ranges, or brain charts, against which individual …