Nicola Palomero‐Gallagher

This study examines how acute alcohol consumption affects neural inhibition in both rats and humans using the Hurst exponent as an fMRI marker, finding reduced inhibition in both species.

This paper develops a computational framework to model how regional cortical heterogeneities influence macroscopic wave dynamics in human and non-human primate brains, showing that myelin and excitation-inhibition balance significantly affect wave speed.

This study quantifies inter-individual variability in PET-estimated receptor and transporter density across 12 neurotransmitter systems in the human brain.

This study investigates how brain network dynamics and regional vulnerability influence tau propagation and load in Alzheimer's disease using multi-scale simulations.

This study identifies three cortical streams for somatosensory information processing in macaques by integrating receptor covariance and connectivity data.

This study benchmarks macaque brain gene expression for horizontal and vertical translation by comparing it to human gene expression and protein density.

This paper develops a geometrically constrained framework to map brain regions across species and shows geometry influences regional organization through patterning molecules.

MEBRAINS 1.0 creates a multi-subject, multi-modal macaque brain atlas using T1 and T2 images, surface models, and curated segmentations to improve data integration.

The paper builds a large-scale macaque cortical model to show distributed sensory evidence accumulation across multiple brain regions during decision-making.

This paper introduces a surface-based hippocampal registration method that improves subfield alignment across different morphologies.

The paper identifies 35 prefrontal areas in macaques, reveals regional receptor differences, and shows functional connectivity patterns across clusters of frontal lobe areas.

This study uses EPIK to examine laminar fMRI dynamics in resting-state networks, finding depth-specific connectivity patterns and task-related changes in cortical layers.

Neurotransmitter receptor/transporter PET maps (19 targets, 1239 healthy participants) align with connectomes, explain MEG power, and track cognitive gradients and cortical thinning in 13 disorders.

The paper examines the relationship between gene expression and neurotransmitter receptor/transporter density in the human brain using PET and autoradiography, finding poor spatial correspondence except for four specific receptors.

This paper develops a mesoscale connectome-based model of the macaque cortex to simulate conscious access, showing how receptor dynamics drive ignition-like events in neural networks.

This study shows that a dopamine gradient in monkey cortex influences working memory by filtering stimuli and determining memory encoding mechanisms.

The paper identifies a natural axis of transmitter receptor distribution in the human cerebral cortex that reflects laminar differentiation and functional organization.

The paper creates a 3D atlas of the macaque motor and premotor cortex by integrating cytoarchitectonic and receptor data, revealing 16 distinct areas and their functional connectivity patterns.

The paper uses machine learning to predict local glutamate levels from functional connectivity in the pregenual anterior cingulate cortex, showing better prediction for p32 than p24.

The paper presents a 3D laminar atlas of the human cerebral cortex using a convolutional neural network and uses it to analyze thickness gradients in sensory and motor cortices.