Taylor Bolt

Distributed fMRI patterns coupled to low-frequency cardiorespiratory dynamics provide markers of aging

The paper predicts chronological age from whole-brain fMRI-physiology coupling patterns, showing brain regions involved in autonomic regulation are key predictors.

"The Brain is...": A Survey of The Brain's Many Definitions

The paper analyzes phrases of the form 'the brain is...' in biomedical literature to explore conceptualizations of the brain, finding diverse metaphors and functions.

Variation in the Distribution of Large-scale Spatiotemporal Patterns of Activity Across Brain States

The paper examines variations in large-scale spatiotemporal brain activity patterns across different brain states using resting-state fMRI data from humans and rats.

Creative tempo: Spatiotemporal dynamics of the default mode network in improvisational musicians

This study compares two dynamic functional connectivity methods in musicians, finding increased DMN-VIS and DMN-FPN correlations in improvisational musicians, replicating and expanding previous findings.

Widespread Autonomic Physiological Coupling Across the Brain-Body Axis

This study identifies widespread brain-body co-fluctuations across multiple physiological systems and shows they are linked to autonomic nervous system activity.

A Parsimonious Description of Global Functional Brain Organization in Three Spatiotemporal Patterns

This paper identifies three spatiotemporal patterns that unify diverse resting-state functional MRI phenomena into a parsimonious framework of global brain organization.

Global signal topography in the human brain differs systematically across the lifespan

The paper shows lifespan changes in global signal topography in the human brain, with distinct patterns in subcortical and cortical regions, suggesting a dual-layer model of the signal.

Ontological Dimensions of Cognitive-Neural Mappings

The paper identifies latent dimensions in task-fMRI data that explain more variance than conventional cognitive categories, suggesting current cognitive frameworks may not fully capture brain activation patterns.

Inter-subject phase synchronization differentiates neural networks underlying physical pain empathy

The paper uses inter-subject phase synchronization to analyze fMRI data and identifies distinct neural networks associated with physical pain empathy, but not affective pain.

Inter-subject phase synchronization and the dynamics of human cognition

This study introduces a novel bottom-up approach to analyze task-driven brain activity using phase synchronization and independent component analysis, revealing dynamic network synchronization across cognitive tasks.

Data-Driven Extraction of a Nested Structure of Human Cognition

The paper identifies a nested structure in brain activation patterns using bi-factor analysis, revealing a general factor and sub-factors that explain variance in task-driven cognitive processes.