Latent functional connectivity underlying multiple brain states.

Area of Science:

• Neuroscience
• Cognitive Neuroscience
• Brain Imaging

Background:

• Functional connectivity (FC) studies often use resting-state to infer intrinsic brain network architecture.
• This intrinsic architecture is assumed to be state-general, persisting across different cognitive states.
• However, the resting state's optimality for measuring this state-general FC remains uncertain.

Purpose of the Study:

• To investigate whether a novel measure, latent functional connectivity (FC), better captures state-general intrinsic FC than resting-state FC alone.
• To determine if latent FC provides a more accurate representation of brain network architecture across various cognitive states.
• To assess the predictive power of latent FC for behavioral measures, such as general intelligence.

Main Methods:

• Utilized functional magnetic resonance imaging (fMRI) data from the Human Connectome Project.
• Estimated latent FC for each brain connection using leave-one-task-out factor analysis across seven distinct task states (24 conditions) and resting state.
• Compared the generalization capabilities and explanatory power of latent FC against traditional resting-state FC.

Main Results:

• Latent FC demonstrated improved generalization to unseen brain states compared to resting-state connectivity.
• Latent FC better explained patterns of brain connectivity and task-evoked activation.
• Latent FC significantly improved the prediction of general intelligence (g) factor, a measure of behavior outside the scanner.

Conclusions:

• Brain functional connectivity patterns shared across multiple states, termed latent FC, offer a superior reflection of state-general intrinsic connectivity than resting-state alone.
• This finding refines the conceptualization of intrinsic brain networks as properties persistent across diverse brain states.
• The study introduces an updated framework for understanding and measuring intrinsic connectivity as a latent factor.