Striving toward translation: strategies for reliable fMRI measurement
ML Elliott, AR Knodt, AR Hariri - Trends in cognitive sciences, 2021 - cell.com
fMRI has considerable potential as a translational tool for understanding risk, prioritizing
interventions, and improving the treatment of brain disorders. However, recent studies have …
interventions, and improving the treatment of brain disorders. However, recent studies have …
A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence
Extensive sampling of neural activity during rich cognitive phenomena is critical for robust
understanding of brain function. Here we present the Natural Scenes Dataset (NSD), in …
understanding of brain function. Here we present the Natural Scenes Dataset (NSD), in …
[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 …
[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 …
Hierarchical dynamics as a macroscopic organizing principle of the human brain
Multimodal evidence suggests that brain regions accumulate information over timescales
that vary according to anatomical hierarchy. Thus, these experimentally defined “temporal …
that vary according to anatomical hierarchy. Thus, these experimentally defined “temporal …
Neural signatures of social inferences predict the number of real-life social contacts and autism severity
We regularly infer other people's thoughts and feelings from observing their actions, but how
this ability contributes to successful social behavior and interactions remains unknown. We …
this ability contributes to successful social behavior and interactions remains unknown. We …
Physiological and motion signatures in static and time-varying functional connectivity and their subject identifiability
Human brain connectivity yields significant potential as a noninvasive biomarker. Several
studies have used fMRI-based connectivity fingerprinting to characterize individual patterns …
studies have used fMRI-based connectivity fingerprinting to characterize individual patterns …
[HTML][HTML] Relationship between prediction accuracy and feature importance reliability: An empirical and theoretical study
There is significant interest in using neuroimaging data to predict behavior. The predictive
models are often interpreted by the computation of feature importance, which quantifies the …
models are often interpreted by the computation of feature importance, which quantifies the …
Functional imaging studies of acute administration of classic psychedelics, ketamine, and MDMA: Methodological limitations and convergent results
Functional magnetic resonance imaging (fMRI) is increasingly used to non-invasively study
the acute impact of psychedelics on the human brain. While fMRI is a promising tool for …
the acute impact of psychedelics on the human brain. While fMRI is a promising tool for …
[HTML][HTML] Network variants are similar between task and rest states
Recent work has demonstrated that individual-specific variations in functional networks
(termed “network variants”) can be identified in individuals using resting state functional …
(termed “network variants”) can be identified in individuals using resting state functional …