Organization for Human Brain Mapping (OHBM 2027) Annual Meeting

The Organization for Human Brain Mapping (OHBM 2027) Annual Meeting explores cutting-edge techniques, applications, and theories in brain mapping and neuroimaging across diverse modalities and life stages.

Key Topics

• Social neuroscience, emotion and motivation
• FMRI-based neurofeedback
• Antisocial behaviour and neuroimaging approaches
• Precision mapping of individual human brains
• Open large-scale collaborations to improve reproducibility
• Mapping of amygdala circuits in humans
• Quantitative imaging of myelin plasticity
• Brain activity propagation and behavioural relevance
• Modeling and analysis of connectivity
• Sex differences in multiscale brain organization
• Brain stimulation: treatment and modelling
• Learning and memory across brain regions
• PET imaging linking neurochemistry and brain activation
• Disorders of the nervous system in late life
• Global fMRI harmonisation and mental health
• Educational, data protection and social dimensions of brain imaging
• Computational models for brain health and social factors
• Network controllability and empirical observations
• High-resolution imaging of visual and memory systems
• Neural basis of decision making
• Language networks and related disorders
• Modeling and analysis of brain activation
• Naturalistic neuroimaging best practices
• Clinical applications of brain mapping
• Advanced neuroimaging meta-analyses
• Normative modeling and clinical translation
• Sex, gender and brain science to practice
• Neuroanatomy and imaging implications
• Integration of empirical and computational approaches
• How MRI optimizes brain stimulation
• Neuroinformatics and data sharing
• Functional connectivity in pre-clinical models
• Machine learning for trait prediction and treatment
• Meta-analyses frontiers in neuroimaging
• Higher cognitive function insights
• Advanced brain stimulation modeling
• Naturalistic cortical mapping innovations
• Neural field theory for brain mapping
• Spatial information in fMRI analysis
• Brain heterogeneity across diseases and systems
• Whole-brain MRSI and clinical relevance
• Lifespan development of the brain
• Electromagnetic imaging of brain development
• Burnout in academia and strategies to cope
• Reproducibility in data acquisition and analysis
• EEG and MEG in developing brain studies
• Multivariate approaches in neuroimaging
• Novel imaging acquisition methods
• Naturalistic paradigms in psychiatric research
• From neuroimaging to brain stimulation
• Transcriptomics and genetic markers of brain function
• Amygdala and emotion circuits
• Including brainstem and cerebellum in mapping
• Multimodal psychiatry research
• Ultra-low field MRI challenges
• Functional and structural imaging theory
• Early life neurodevelopmental disorders
• Connectome-based surgical planning
• Visual and memory system anatomy
• FAIRness and sustainability in neuroscience
• Analytical variability in imaging pipelines
• Decision superiority mechanisms
• Brain biomarkers and individual pain differences
• Local research showcase in neuroimaging
• Incorporating spatial context in fMRI
• Clinical relevance of imaging movie paradigms
• Gradient theory and brain modes
• Cross-scale brain organization
• Neuroimaging of sleep and cognition
• Human and primate brain metabolism
• Showcase of imaging software tools
• Longitudinal studies and mental health prediction

Who should Attend

• Imaging specialists developing novel acquisition methods
• Researchers focusing on lifespan brain development
• Professionals using brain stimulation in clinical settings
• Computational neuroscientists modeling neural systems
• Social and affective neuroscientists
• Psychiatrists applying multimodal imaging techniques
• Data scientists advancing neuroimaging reproducibility
• Students and trainees interested in neuroimaging education
• Cognitive neuroscientists working on decision making
• Clinicians using neuroimaging across the lifespan
• Experts in brain connectivity and neural circuits
• Researchers exploring brain genetics and phenotypes
• Scientists integrating neurobiology with social factors
• Neuroinformaticians involved in open data initiatives
• Academics addressing burnout and mental health
• Policy makers interested in data protection and ethics
• Behavioral scientists investigating pain and emotion