Luke J. Hearne

Complementary frontoparietal and corticothalamic contributions to relational reasoning

The paper investigates how frontoparietal and corticothalamic circuits contribute to relational reasoning by analyzing EEG data and neural field models during problem-solving tasks.

Aligning transformer circuit mechanisms to neural representations in relational reasoning

This study compares transformer models and human brain activity during relational reasoning tasks, finding alignment between attention mechanisms and neural networks involved in reasoning.

Brain-heart coupling shapes large scale brain dynamics

The paper investigates how heart rate influences large-scale brain network dynamics using EEG, fMRI, and HR data during emotional stimuli, finding both direct and obscured neural-cardiac links.

Relational integration demands are tracked by temporally delayed neural representations in alpha and beta rhythms within higher-order cortical networks

The paper investigates how brain activity patterns in alpha and beta rhythms within higher-order cortical networks track relational complexity during reasoning tasks.

Targeted Time-Varying Functional Connectivity

This paper introduces T-TVFC, a method for targeted time-varying functional connectivity analysis, and shows it captures task-related information in thalamocortical networks not found in traditional methods.

Activity flow underlying abnormalities in brain activations and cognition in schizophrenia

The paper investigates how abnormal activity flow in brain networks contributes to cognitive dysfunction in schizophrenia using fMRI data and activity flow mapping.

Core and Matrix Thalamic Sub-Populations Relate to Spatio-Temporal Cortical Connectivity Gradients

The paper identifies Core and Matrix thalamic sub-populations and links them to spatio-temporal cortical connectivity gradients using fMRI and calcium-binding protein data.

A cortical hierarchy of localized and distributed processes revealed via dissociation of task activations, connectivity changes, and intrinsic timescales

The paper examines the relationship between localized task activity and distributed functional connectivity across the cortex, revealing a negative correlation and hierarchical differences in intrinsic timescales and myelin content.

ADHD symptoms map onto noise-driven structure-function decoupling between hub and peripheral brain regions

The paper identifies reduced structure-function coupling in ADHD, linking it to increased neural noise variability in fronto-parietal networks.

Increased cognitive complexity reveals abnormal brain network activity in individuals with corpus callosum dysgenesis

This study investigates brain network activity in individuals with corpus callosum dysgenesis during cognitive tasks, finding reduced connectivity in the fronto-parietal network with increased task complexity.

Reconfiguration of brain network architectures between resting state and complexity-dependent cognitive reasoning

The paper examines how brain network architectures change between resting state and task-driven cognitive reasoning, finding that increased complexity leads to merging of resting state modules and selective connectivity changes.

Neural decoding of visual stimuli varies with fluctuations in global network efficiency

The paper shows that neural decoding of visual stimuli is higher during periods of high global network efficiency compared to low efficiency.