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] 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 …
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] Machine learning prediction of cognition from functional connectivity: Are feature weights reliable?
Cognitive performance can be predicted from an individual's functional brain connectivity
with modest accuracy using machine learning approaches. As yet, however, predictive …
with modest accuracy using machine learning approaches. As yet, however, predictive …
[HTML][HTML] Reliability and stability challenges in ABCD task fMRI data
JT Kennedy, MP Harms, O Korucuoglu, SV Astafiev… - NeuroImage, 2022 - Elsevier
Trait stability of measures is an essential requirement for individual differences research.
Functional MRI has been increasingly used in studies that rely on the assumption of trait …
Functional MRI has been increasingly used in studies that rely on the assumption of trait …
[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 …
White matter functional connectivity in resting-state fMRI: robustness, reliability, and relationships to gray matter
A comprehensive characterization of the spatiotemporal organization in the whole brain is
critical to understand both the function and dysfunction of the human brain. Resting-state …
critical to understand both the function and dysfunction of the human brain. Resting-state …
[HTML][HTML] Stability, change, and reliable individual differences in electroencephalography measures: a lifespan perspective on progress and opportunities
Electroencephalographic (EEG) methods have great potential to serve both basic and
clinical science approaches to understand individual differences in human neural function …
clinical science approaches to understand individual differences in human neural function …
The burden of reliability: How measurement noise limits brain-behaviour predictions
Current major efforts in human neuroimaging research aim to understand individual
differences and identify biomarkers for clinical applications. One particularly promising …
differences and identify biomarkers for clinical applications. One particularly promising …
ReX: an integrative tool for quantifying and optimizing measurement reliability for the study of individual differences
Characterizing multifaceted individual differences in brain function using neuroimaging is
central to biomarker discovery in neuroscience. We provide an integrative toolbox …
central to biomarker discovery in neuroscience. We provide an integrative toolbox …