Replicable brain–phenotype associations require large-scale neuroimaging data

S Liu, A Abdellaoui, KJH Verweij… - Nature Human …, 2023 - nature.com
Numerous neuroimaging studies have investigated the neural basis of interindividual
differences but the replicability of brain–phenotype associations remains largely unknown …

[HTML][HTML] Task fMRI paradigms may capture more behaviorally relevant information than resting-state functional connectivity

W Zhao, C Makowski, DJ Hagler, HP Garavan… - NeuroImage, 2023 - Elsevier
Characterizing the optimal fMRI paradigms for detecting behaviorally relevant functional
connectivity (FC) patterns is a critical step to furthering our knowledge of the neural basis of …

A brain-based general measure of attention

K Yoo, MD Rosenberg, YH Kwon, Q Lin… - Nature human …, 2022 - nature.com
Attention is central to many aspects of cognition, but there is no singular neural measure of a
person's overall attentional functioning across tasks. Here, using original data from 92 …

Functional brain connectivity predicts sleep duration in youth and adults

A Mummaneni, O Kardan, AJ Stier… - Human Brain …, 2023 - Wiley Online Library
Sleep is critical to a variety of cognitive functions and insufficient sleep can have negative
consequences for mood and behavior across the lifespan. An important open question is …

Functional connectome stability and optimality are markers of cognitive performance

A Corriveau, K Yoo, YH Kwon, MM Chun… - Cerebral …, 2023 - academic.oup.com
Patterns of whole-brain fMRI functional connectivity, or connectomes, are unique to
individuals. Previous work has identified subsets of functional connections within these …

[HTML][HTML] Resting-state functional connectivity identifies individuals and predicts age in 8-to-26-month-olds

O Kardan, S Kaplan, MD Wheelock, E Feczko… - Developmental …, 2022 - Elsevier
Resting-state functional connectivity (rsFC) measured with fMRI has been used to
characterize functional brain maturation in typically and atypically developing children and …

Edge-based general linear models capture moment-to-moment fluctuations in attention

HM Jones, K Yoo, MM Chun… - Journal of …, 2024 - Soc Neuroscience
Although we must prioritize the processing of task-relevant information to navigate life, our
ability to do so fluctuates across time. Previous work has identified fMRI functional …

Intrinsic functional connectivity in the default mode network predicts mnemonic discrimination: A connectome‐based modeling approach

CN Wahlheim, AP Christensen, ZM Reagh… - …, 2022 - Wiley Online Library
The ability to distinguish existing memories from similar perceptual experiences is a core
feature of episodic memory. This ability is often examined using the mnemonic similarity task …

Limited generalizability of multivariate brain-based dimensions of child psychiatric symptoms

B Xu, L Dall'Aglio, J Flournoy, G Bortsova… - Communications …, 2024 - nature.com
Multivariate machine learning techniques are a promising set of tools for identifying complex
brain-behavior associations. However, failure to replicate results from these methods across …

Executive network activation moderates the association between neighborhood threats and externalizing behavior in youth

MI Conley, KM Rapuano, C Benson-Williams… - Research on Child and …, 2023 - Springer
Neighborhood threats can increase risk for externalizing problems, including aggressive,
oppositional, and delinquent behavior. Yet, there is substantial variability in how youth …