Bratislav Mišić

This study reconstructs brainstem connectomes using MRI and finds structural and functional connectivity correlations, revealing heterogeneous structure-function coupling across brainstem nuclei.

This study links human brain functional connectivity to neurotransmitter systems using resting-state fMRI and MEG across multiple cohorts, showing consistent patterns and clinical relevance.

The paper introduces netneurotools, a Python toolkit developed by trainees to streamline brain imaging workflows by integrating diverse data types and addressing interoperability challenges.

The paper shows that white matter tracts are positioned within the cortical hierarchy to support specific cognitive functions and connect regions with greater cognitive diversity.

The paper identifies distinct transcriptomic and hierarchical brain organization associated with hyperconnectivity and hypoconnectivity in autism spectrum disorder, showing they are separate phenomena rather than opposing aspects of a single process.

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

This paper introduces hierarchical modular networks as reservoirs to study computational advantages of brain-like modularity, showing enhanced memory, multitasking, and temporal dynamics.

The paper investigates how sample size and cohort composition affect the replicability of brain-behaviour associations using Canonical Correlation Analysis on UK Biobank data.

The paper analyzes the Drosophila connectome to reveal hierarchical community structures and identifies functional circuit archetypes.

This study shows that cognitive co-activation dominates fMRI synchrony in the awake brain but is replaced by anatomical and molecular constraints during consciousness perturbations.

This paper introduces a generative model of brain maps based on homophily and shows it can accurately reconstruct maps using biological and functional similarity.

The paper identifies neurotransmitter systems linked to specific symptom dimensions in early psychosis using neuroimaging and PET data.

This study benchmarks spatial interpolation methods for brain maps, finding that stochastic frameworks like Ordinary Kriging and Regression Kriging outperform deterministic methods in accuracy and biological realism.

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

This study maps age-related structural and functional changes in the spinal cord and brain, identifying shared aging patterns across the central nervous system.

This study integrates multi-feature white matter connectivity into structure-function brain models, showing that myelin strongly predicts functional connectivity across brain regions and timescales.

This study shows how white matter myelin and tract caliber influence large-scale brain communication by shaping distinct functional connectivity patterns.

The paper identifies multiscale principles of brain reorganization under electrical perturbation by integrating neuroimaging, connectomics, and transcriptomics data from 148 experiments.

The paper simulates sensory signal propagation in the Drosophila connectome to study modality-specific cascades and neuron classification based on dynamic response profiles.

This paper adapts network control theory to model spatially diffuse input signals in the human brain, showing reduced energy for state transitions and matching existing neurobiological maps.

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 identifies a latent variable linking resting-state functional connectivity and psychopathology in children and adolescents, revealing a neurotypical-neurodivergent continuum.

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

This paper uses AI to analyze neuroscientific literature and discovers conserved cognitive circuits across species.

The paper identifies a transdiagnostic functional connectivity pattern in early psychosis linked to cognitive inflexibility and arousal dysregulation across different diagnoses.

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 the genetic basis of neurophysiological variability using twin and unrelated individuals, finding significant genetic influence on brain activity traits linked to neurotransmission and cortical gene expression patterns.

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