Burke Q. Rosen

Simulated field potentials capture multiple simultaneous processes underlying human temporal attention

The paper simulates field potentials to disentangle neural mechanisms of human temporal attention, identifying signatures of attentional bias and anticipatory activity that predict perceptual accuracy.

Iterative co-creation of harmonized human and non-human primate cellular and structural ontologies and 3D common coordinate frameworks for the basal ganglia

The paper describes the iterative creation of harmonized ontologies and 3D frameworks for the basal ganglia across human and non-human primates to enable cross-species comparisons of cellular and molecular data.

A cross-species spatial transcriptomic atlas of the human and non-human primate basal ganglia

This paper creates a cross-species spatial transcriptomic atlas of the basal ganglia in human, rhesus macaque, and common marmoset, revealing conserved molecular organization and cell type-specific compartments.

Emergent effects of synaptic connectivity on the dynamics of global and local slow waves in large-scale thalamocortical network model of the human brain

The paper develops a biophysically realistic human brain model to study how synaptic connectivity influences the emergence of global and local slow waves during slow-wave sleep.

Modular Phoneme Processing in Human Superior Temporal Gyrus

The paper identifies modular organization in human superior temporal gyrus for phoneme processing using high-density micro-arrays.

Aperiodic neural activity is a better predictor of schizophrenia than neural oscillations

This study shows that aperiodic neural activity, not oscillatory power, better predicts schizophrenia diagnosis and severity using EEG data during a target detection task.

Thalamic spindles and upstates, but not ripples, coordinate cortico-cortical and hippocampo-cortical co-ripples in humans

The paper investigates how thalamic spindles and upstates coordinate cortico-cortical and hippocampo-cortical co-ripples in humans during NREM sleep, finding that thalamic ripples do not directly synchronize co-ripples but spindles and upstates do.

Cortical ripples during NREM sleep and waking in humans

This study shows cortical ripples occur during human NREM sleep and waking with similar characteristics to hippocampal ripples, associated with upstates, spindles, and unit co-firing, suggesting a role in memory consolidation.

Widespread ripples synchronize human cortical activity during sleep, waking, and memory recall

This paper shows that high-frequency ripples synchronize cortical activity across distant brain regions during sleep, waking, and memory recall, supporting the binding-by-synchrony theory.

Dynamical differential covariance recovers directional network structure in multiscale neural systems

This paper introduces DDC, a method for detecting directional network interactions in neural systems, validated on simulations and applied to fMRI data.

An estimation of the absolute number of axons indicates that human cortical areas are sparsely connected

The paper estimates the absolute number of axons connecting human cortical areas using dMRI data and histological calibration, finding sparse long-range connections.

A whole-cortex probabilistic diffusion tractography connectome

This paper presents a full-cortex connectome derived from probabilistic diffusion tractography, organized into the HCP-MMP1.0 atlas, and compares it to resting-state fMRI and evoked potential connectivity matrices.

Simulating human sleep spindle MEG and EEG from ion channel and circuit level dynamics

The paper simulates human sleep spindle MEG and EEG by integrating ion channel dynamics and circuit-level neural activity across multiple scales.

Theta bursts precede, and spindles follow, cortical and thalamic downstates in human NREM sleep

The paper identifies theta bursts preceding and spindles following cortical and thalamic downstates in human NREM sleep, suggesting theta bursts may trigger downstates and aid memory consolidation.

Thalamocortical and Intracortical Laminar Connectivity Determines Sleep Spindle Properties

The paper develops a thalamocortical network model to explain differences in sleep spindle properties between MEG and EEG recordings and links these to cortical and thalamic connectivity.