The normative modeling framework for computational psychiatry
Normative modeling is an emerging and innovative framework for mapping individual
differences at the level of a single subject or observation in relation to a reference model. It …
differences at the level of a single subject or observation in relation to a reference model. It …
[HTML][HTML] Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization
Magnetic resonance imaging and computed tomography from multiple batches (eg sites,
scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to …
scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to …
Evidence for embracing normative modeling
In this work, we expand the normative model repository introduced in Rutherford et al.,
2022a to include normative models charting lifespan trajectories of structural surface area …
2022a to include normative models charting lifespan trajectories of structural surface area …
A review of resting-state fMRI and its use to examine psychiatric disorders
Resting-state fMRI (rs-fMRI) has emerged as an alternative method to study brain function in
human and animal models. In humans, it has been widely used to study psychiatric …
human and animal models. In humans, it has been widely used to study psychiatric …
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 …
Virtual reality for neurorehabilitation and cognitive enhancement
Our access to computer-generated worlds changes the way we feel, how we think, and how
we solve problems. In this review, we explore the utility of different types of virtual reality …
we solve problems. In this review, we explore the utility of different types of virtual reality …
[HTML][HTML] What have we really learned from functional connectivity in clinical populations?
Functional connectivity (FC), or the statistical interdependence of blood-oxygen dependent
level (BOLD) signals between brain regions using fMRI, has emerged as a widely used tool …
level (BOLD) signals between brain regions using fMRI, has emerged as a widely used tool …
A petavoxel fragment of human cerebral cortex reconstructed at nanoscale resolution
To fully understand how the human brain works, knowledge of its structure at high resolution
is needed. Presented here is a computationally intensive reconstruction of the ultrastructure …
is needed. Presented here is a computationally intensive reconstruction of the ultrastructure …
A parsimonious description of global functional brain organization in three spatiotemporal patterns
Resting-state functional magnetic resonance imaging (MRI) has yielded seemingly
disparate insights into large-scale organization of the human brain. The brain's large-scale …
disparate insights into large-scale organization of the human brain. The brain's large-scale …
The older adult brain is less modular, more integrated, and less efficient at rest: A systematic review of large‐scale resting‐state functional brain networks in aging
The literature on large‐scale resting‐state functional brain networks across the adult
lifespan was systematically reviewed. Studies published between 1986 and July 2021 were …
lifespan was systematically reviewed. Studies published between 1986 and July 2021 were …