Statistical power in network neuroscience
K Helwegen, I Libedinsky… - Trends in Cognitive …, 2023 - cell.com
Network neuroscience has emerged as a leading method to study brain connectivity. The
success of these investigations is dependent not only on approaches to accurately map …
success of these investigations is dependent not only on approaches to accurately map …
[HTML][HTML] One size does not fit all: methodological considerations for brain-based predictive modeling in psychiatry
Psychiatric illnesses are heterogeneous in nature. No illness manifests in the same way
across individuals, and no two patients with a shared diagnosis exhibit identical symptom …
across individuals, and no two patients with a shared diagnosis exhibit identical symptom …
Heritability and interindividual variability of regional structure-function coupling
White matter structural connections are likely to support flow of functional activation or
functional connectivity. While the relationship between structural and functional connectivity …
functional connectivity. While the relationship between structural and functional connectivity …
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?
White matter bundle segmentation using diffusion MRI fiber tractography has become the
method of choice to identify white matter fiber pathways in vivo in human brains. However …
method of choice to identify white matter fiber pathways in vivo in human brains. However …
[HTML][HTML] Structure-function coupling in the human connectome: A machine learning approach
While the function of most biological systems is tightly constrained by their structure, current
evidence suggests that coupling between the structure and function of brain networks is …
evidence suggests that coupling between the structure and function of brain networks is …
Biological constraints on neural network models of cognitive function
F Pulvermüller, R Tomasello… - Nature Reviews …, 2021 - nature.com
Neural network models are potential tools for improving our understanding of complex brain
functions. To address this goal, these models need to be neurobiologically realistic …
functions. To address this goal, these models need to be neurobiologically realistic …
Overcoming false-positive gene-category enrichment in the analysis of spatially resolved transcriptomic brain atlas data
Transcriptomic atlases have improved our understanding of the correlations between gene-
expression patterns and spatially varying properties of brain structure and function. Gene …
expression patterns and spatially varying properties of brain structure and function. Gene …
Enhancing precision in human neuroscience
Human neuroscience has always been pushing the boundary of what is measurable. During
the last decade, concerns about statistical power and replicability–in science in general, but …
the last decade, concerns about statistical power and replicability–in science in general, but …
A new method for accurate in vivo mapping of human brain connections using microstructural and anatomical information
Diffusion magnetic resonance imaging is a noninvasive imaging modality that has been
extensively used in the literature to study the neuronal architecture of the brain in a wide …
extensively used in the literature to study the neuronal architecture of the brain in a wide …
Heritability of individualized cortical network topography
Human cortex is patterned by a complex and interdigitated web of large-scale functional
networks. Recent methodological breakthroughs reveal variation in the size, shape, and …
networks. Recent methodological breakthroughs reveal variation in the size, shape, and …