Bratislav Mišić

This study benchmarks 239 pairwise interaction statistics for functional connectivity mapping, finding substantial variation in their topological, neurobiological, and behavioral properties.

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.

This study identifies molecular, physiological, and functional mechanisms underlying antipsychotic-related cortical thinning using data from patients with early psychosis and a large meta-analysis.

The paper introduces a computational engine to systematically discover cause-effect relationships between brain structure and function using in-silico brain models.

This study introduces a framework using game theory to characterize optimal communication in brain networks, finding that broadcasting models best describe communication efficiency, with rich-club regions playing a key role.

This study profiles neural dynamics across species during anaesthesia, finding conserved dynamical changes and linking them to molecular mechanisms.

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

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 shows that synapse diversity in the mouse brain influences regional dynamics, with specific synapse types linked to distinct patterns of brain activity and connectivity.

This study shows that spherical projection in spin tests distorts spatial relationships, leading to inflated false positives, and suggests removing high-distortion spins to improve accuracy.

This paper introduces eigenstrapping, a method to generate surrogate brain maps that preserve spatial autocorrelation while breaking map correlations, improving false positive control in brain map analysis.

The paper assesses brain network energy during cognitive control tasks and finds it increases compared to rest, with selective allocation to functional networks.

This study evaluates permutation-based inference in PLS analysis of neuroimaging data, finding that Procrustes rotation affects significance and that complementary metrics improve LV assessment.

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

This paper introduces a simulated annealing algorithm for randomizing weighted networks while preserving strength sequences, outperforming existing methods and showing broad applicability in neuroscience and beyond.

The paper identifies multimodal brain network patterns associated with dimensions of psychopathology using the Adolescent Brain Cognitive Development dataset.

This paper quantifies the control costs of human brain dynamics using network control theory and finds that brain state transitions are more efficient within hierarchical groups.

This study uses computational whole-brain modeling to show that competitive interactions in mammalian connectomes enhance computational capacity and fit brain dynamics better than cooperative-only models.

This study integrates brainstem and cortical functional architectures using fMRI, revealing brainstem hubs that connect to the cortex and influence cortical functional organization.

The paper links regional human cortex development and aging to molecular and cellular brain organization patterns using neuroimaging and gene expression data.

The paper identifies a stable microstructural white matter signature associated with negative and somatic symptoms in early psychosis across two independent cohorts using PLS correlation.

The paper identifies three conserved spatiomolecular gradients in the adult human brain that align with developmental axes and predict functional territories.

HippoMaps provides a toolbox and data warehouse for mapping and analyzing hippocampal data across multiple modalities and scales.

This study investigates how structural brain alterations in schizophrenia relate to network architecture, finding hub susceptibility and shared epicenters across disease stages and disorders.

This study uses multimodal imaging and connectivity modeling to show that polysynaptic mechanisms are implicated in autism spectrum disorder, with reduced structure-function coupling in transmodal networks.

This study shows that general anaesthesia reduces the uniqueness of human brain connectivity both between individuals and across species.

This study investigates the variability of fMRI BOLD signals in the human brain, showing it reflects multi-scale brain organization rather than noise.

This study maps neurophysiological dynamics to cortical micro-architecture, finding spatial correlations between brain activity patterns and microstructural features.

The paper examines how neurotransmitter receptor/transporter molecule (NTRM) co-expression patterns in the brain share organizational traits with brain structure and function.