Whole-brain anatomical networks: does the choice of nodes matter?
Whole-brain anatomical connectivity in living humans can be modeled as a network with
diffusion-MRI and tractography. Network nodes are associated with distinct grey-matter�…
diffusion-MRI and tractography. Network nodes are associated with distinct grey-matter�…
[HTML][HTML] Probabilistic mapping of human functional brain networks identifies regions of high group consensus
Many recent developments surrounding the functional network organization of the human
brain have focused on data that have been averaged across groups of individuals. While�…
brain have focused on data that have been averaged across groups of individuals. While�…
[HTML][HTML] Comparing functional connectivity matrices: A geometry-aware approach applied to participant identification
M Venkatesh, J Jaja, L Pessoa�- NeuroImage, 2020 - Elsevier
Understanding the correlation structure associated with multiple brain measurements
informs about potential “functional groupings” and network organization. The correlation�…
informs about potential “functional groupings” and network organization. The correlation�…
[HTML][HTML] Clinica: An open-source software platform for reproducible clinical neuroscience studies
We present Clinica (www. clinica. run), an open-source software platform designed to make
clinical neuroscience studies easier and more reproducible. Clinica aims for researchers to�…
clinical neuroscience studies easier and more reproducible. Clinica aims for researchers to�…
[HTML][HTML] Ten simple rules for predictive modeling of individual differences in neuroimaging
Establishing brain-behavior associations that map brain organization to phenotypic
measures and generalize to novel individuals remains a challenge in neuroimaging�…
measures and generalize to novel individuals remains a challenge in neuroimaging�…
[HTML][HTML] Comparing the similarity and spatial structure of neural representations: a pattern-component model
In recent years there has been growing interest in multivariate analyses of neuroimaging
data, which can be used to detect distributed patterns of activity that encode an experimental�…
data, which can be used to detect distributed patterns of activity that encode an experimental�…
[HTML][HTML] BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets
Understanding how cognitive functions emerge from brain structure depends on quantifying
how discrete regions are integrated within the broader cortical landscape. Recent work�…
how discrete regions are integrated within the broader cortical landscape. Recent work�…
[HTML][HTML] Spatial normalization of lesioned brains: performance evaluation and impact on fMRI analyses
A key component of group analyses of neuroimaging data is precise and valid spatial
normalization (ie, inter-subject image registration). When patients have structural brain�…
normalization (ie, inter-subject image registration). When patients have structural brain�…
Rank-order versus mean based statistics for neuroimaging
Traditional analysis of neuroimaging data uses parametric statistics, such as the t-test.
These tests are designed to detect mean differences. In fact, even nonparametric techniques�…
These tests are designed to detect mean differences. In fact, even nonparametric techniques�…
Coordinate‐based activation likelihood estimation meta‐analysis of neuroimaging data: A random‐effects approach based on empirical estimates of spatial�…
A widely used technique for coordinate‐based meta‐analyses of neuroimaging data is
activation likelihood estimation (ALE). ALE assesses the overlap between foci based on�…
activation likelihood estimation (ALE). ALE assesses the overlap between foci based on�…