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 …
Neuroimaging-based individualized prediction of cognition and behavior for mental disorders and health: methods and promises
The neuroimaging community has witnessed a paradigm shift in biomarker discovery from
using traditional univariate brain mapping approaches to multivariate predictive models …
using traditional univariate brain mapping approaches to multivariate predictive models …
[HTML][HTML] Shared and unique brain network features predict cognitive, personality, and mental health scores in the ABCD study
How individual differences in brain network organization track behavioral variability is a
fundamental question in systems neuroscience. Recent work suggests that resting-state and …
fundamental question in systems neuroscience. Recent work suggests that resting-state and …
[HTML][HTML] A dynamic graph convolutional neural network framework reveals new insights into connectome dysfunctions in ADHD
The pathological mechanism of attention deficit hyperactivity disorder (ADHD) is
incompletely specified, which leads to difficulty in precise diagnosis. Functional magnetic …
incompletely specified, which leads to difficulty in precise diagnosis. Functional magnetic …
Autism Detection of MRI Brain Images Using Hybrid Deep CNN With DM-Resnet Classifier
The neurodevelopmental Autism Spectrum Disorder (ASD) causes problems in social
communication. Earlier diagnosis of ASD from brain image is necessary for reducing the …
communication. Earlier diagnosis of ASD from brain image is necessary for reducing the …
Improving power in functional magnetic resonance imaging by moving beyond cluster-level inference
Inference in neuroimaging typically occurs at the level of focal brain areas or circuits. Yet,
increasingly, well-powered studies paint a much richer picture of broad-scale effects …
increasingly, well-powered studies paint a much richer picture of broad-scale effects …
[HTML][HTML] Beyond fingerprinting: Choosing predictive connectomes over reliable connectomes
ES Finn, MD Rosenberg - NeuroImage, 2021 - Elsevier
Recent years have seen a surge of research on variability in functional brain connectivity
within and between individuals, with encouraging progress toward understanding the …
within and between individuals, with encouraging progress toward understanding the …
Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships
Although both resting and task-induced functional connectivity (FC) have been used to
characterize the human brain and cognitive abilities, the potential of task-induced FCs in …
characterize the human brain and cognitive abilities, the potential of task-induced FCs in …
Intelligence and creativity share a common cognitive and neural basis.
Are intelligence and creativity distinct abilities, or do they rely on the same cognitive and
neural systems? We sought to quantify the extent to which intelligence and creative …
neural systems? We sought to quantify the extent to which intelligence and creative …
[HTML][HTML] Person-specific and precision neuroimaging: Current methods and future directions
Most neuroimaging studies of brain function analyze data in normalized space to identify
regions of common activation across participants. These studies treat interindividual …
regions of common activation across participants. These studies treat interindividual …