Alain Dagher

This study examines how bariatric surgery affects neural valuation of food stimuli over time and links these changes to long-term weight loss outcomes.

The paper maps brain metastases from breast, lung, and melanoma cancers to vascular anatomy, showing that vascular features predict metastatic patterns.

This study develops a musical neurofeedback approach to enable self-regulation of ventral striatal activity, showing improved reward system modulation and behavioral relevance.

The paper compares brain energy metabolism across human and macaque lifespans, showing conserved metabolic strategies and identifying mitochondrial programs.

This study maps AQP4 expression across the human brain, linking it to vascular physiology, neurodegenerative disease patterns, and edema, revealing its role in glymphatic function and disease vulnerability.

The paper maps five energy metabolic pathways in the human brain using whole-brain transcriptomics and finds developmental and spatial differences between energy-producing and anabolic pathways.

This study examines how LRRK2 pathogenic variants affect brain structure in Parkinson's disease patients and non-manifesting carriers, finding milder cortical atrophy in LRRK2 PD patients and no atrophy in carriers.

This study identifies two brain-body health axes using multi-omics data from aging populations, linking metabolic features to cognitive deficits.

This study examines how network structure and local biological features influence spatial patterns of cortical atrophy in ALS using the CALSNIC dataset.

This study investigates how alpha-synuclein propagation affects brain atrophy and motor deficits across different genotypes and inoculation sites in mice.

The paper identifies three latent genetic factors of impulsivity and risk-taking traits and links them to distinct brain structures and developmental patterns in children.

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

The paper identifies shared molecular mechanisms between Alzheimer's and Parkinson's disease by analyzing gene co-expression at sub-cell-type resolution using single-nucleus datasets.

This study maps cerebral blood perfusion across the human lifespan and links it to brain structure, function, and disease vulnerability using ASL data from 1,305 individuals.

The paper investigates theta phase resetting in the human parahippocampal gyrus during navigation, finding it correlates with BOLD activation in specific PHG clusters.

This study maps neuropeptide receptor distribution across the human brain, revealing cortical-subcortical gradients and their functional and evolutionary significance.

The paper develops and validates an fMRI-informed EEG model to predict reward-related ventral striatum activation using spectro-temporal EEG features.

This study investigates how brain network architecture relates to ASD-related cortical alterations and polygenic risk for ASD using neuroimaging data from multiple cohorts.

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 introduces biologically-constrained graph neural networks to decode cognitive processes, revealing functional gradients from sensation to cognition and showing improved inter-subject alignment and behavioral prediction.

The paper identifies a shared cortical morphology dimension across six psychiatric conditions using MRI data from 28,546 participants.

This study links schizophrenia polygenic risk to cortical thickness changes in developing children, showing a trajectory toward adult schizophrenia patterns.

The paper investigates neural correlates of reward-cognition interactions and apathy in the psychosis continuum using fMRI and clinical scores.

The paper examines how socioeconomic status (SES) influences brain anatomy, identifying both genetic and environmental contributions to grey matter volume across different brain regions.

The paper investigates how molecular and connectomic vulnerabilities contribute to cortical abnormalities across multiple brain disorders using MRI data from 47,000 individuals.

This study investigates the genetic and environmental factors influencing head motion during MRI, finding no significant single variants and no mediation by physiological or psychological factors.

The paper uses multivariate analysis to estimate heritability and genetic correlations between brain morphology and behavioral traits, identifying four genetically distinct brain clusters.

The paper examines the relationship between impulsivity, uncontrolled eating, and BMI using structural equation models and MRI data, finding associations between impulsivity traits and BMI via uncontrolled eating.

This study shows that atrophy patterns in bvFTD are shaped by both global brain network structure and local transcriptomic vulnerability from disease-related genes.