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 …
Prediction complements explanation in understanding the developing brain
A central aim of human neuroscience is understanding the neurobiology of cognition and
behavior. Although we have made significant progress towards this goal, reliance on group …
behavior. Although we have made significant progress towards this goal, reliance on group …
[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 …
[HTML][HTML] Dynamic functional connectivity during task performance and rest predicts individual differences in attention across studies
Dynamic functional connectivity (DFC) aims to maximize resolvable information from
functional brain scans by considering temporal changes in network structure. Recent work …
functional brain scans by considering temporal changes in network structure. Recent work …
Functional connectivity predicts changes in attention observed across minutes, days, and months
MD Rosenberg, D Scheinost… - Proceedings of the …, 2020 - National Acad Sciences
The ability to sustain attention differs across people and changes within a single person over
time. Although recent work has demonstrated that patterns of functional brain connectivity …
time. Although recent work has demonstrated that patterns of functional brain connectivity …
Characterizing attention with predictive network models
Recent work shows that models based on functional connectivity in large-scale brain
networks can predict individuals' attentional abilities. While being some of the first …
networks can predict individuals' attentional abilities. While being some of the first …
Connectome-based models predict separable components of attention in novel individuals
Although we typically talk about attention as a single process, it comprises multiple
independent components. But what are these components, and how are they represented in …
independent components. But what are these components, and how are they represented in …
Anomalous network architecture of the resting brain in children who stutter
Purpose We combined a large longitudinal neuroimaging dataset that includes children who
do and do not stutter and a whole-brain network analysis in order to examine the intra-and …
do and do not stutter and a whole-brain network analysis in order to examine the intra-and …
Functional connectivity within and between intrinsic brain networks correlates with trait mind wandering
Individual differences across a variety of cognitive processes are functionally associated
with individual differences in intrinsic networks such as the default mode network (DMN) …
with individual differences in intrinsic networks such as the default mode network (DMN) …
Methylphenidate modulates functional network connectivity to enhance attention
Recent work has demonstrated that human whole-brain functional connectivity patterns
measured with fMRI contain information about cognitive abilities, including sustained …
measured with fMRI contain information about cognitive abilities, including sustained …