Neuroimaging (NEU)

Section Information

Neuroimaging focuses on the development, application, and interpretation of imaging methods used to study the structure, function, connectivity, and pathology of the nervous system. It includes modalities that visualize brain anatomy, activity patterns, neural circuits, molecular processes, and physiological dynamics in humans and animal models.

Modern research in this field includes MRI and fMRI, diffusion imaging, PET and SPECT, MEG and EEG source imaging, optical and molecular imaging, multimodal integration, computational neuroimaging, brain mapping, and quantitative biomarkers. Advances in hardware, contrast mechanisms, image reconstruction, machine learning, and large-scale datasets continue to expand neuroimaging capabilities.

This section publishes experimental studies, methodological innovations, computational analyses, clinical investigations, reviews, and translational research addressing neuroanatomy, brain function, neural connectivity, neurological and psychiatric disorders, and emerging imaging technologies.

Scope

Structural and Anatomical Neuroimaging
- High-resolution MRI, volumetry, and morphometric analysis
- Diffusion MRI, tractography, and white matter mapping
- Quantitative MRI and tissue property estimation
- Neuroanatomical atlases and structural biomarkers
Functional and Physiological Imaging
- BOLD fMRI, resting-state fMRI, and functional connectivity
- Perfusion imaging, metabolic imaging, and cerebral blood flow mapping
- Task-based activation studies and hemodynamic modeling
- Electrophysiological imaging using EEG/MEG
Molecular and Cellular Neuroimaging
- PET, SPECT, and radiotracer-based imaging of receptors and metabolism
- Molecular probes for amyloid, tau, inflammation, and neurotransmitters
- Optical imaging, calcium imaging, and fluorescent biosensors
- Translational and preclinical neuroimaging technologies
Multimodal and Integrated Neuroimaging
- Integration of MRI, PET, EEG/MEG, and optical imaging
- Correlative imaging approaches for structure–function relationships
- Hybrid scanners and synchronized acquisition methods
- Cross-modality harmonization and fusion techniques
Image Processing, Analysis, and Computational Neuroimaging
- Preprocessing pipelines, artifact correction, and reconstruction
- Machine learning and AI for classification, prediction, and segmentation
- Network neuroscience, graph theory, and connectivity modeling
- Big-data platforms, reproducibility, and open-source tools
Clinical Neuroimaging and Biomarkers
- Imaging of neurological and psychiatric disorders
- Biomarker development for diagnosis, prognosis, and treatment monitoring
- Neurodegeneration, epilepsy, stroke, tumors, and traumatic brain injury
- Neurodevelopmental and aging-related imaging studies
Neuroimaging Methods, Hardware, and Contrast Mechanisms
- Scanner development, coil design, and acquisition sequences
- Advanced contrasts including diffusion, susceptibility, and quantitative mapping
- High-field and ultra-high-field imaging
- Innovations for speed, resolution, and motion correction
Translational, Cognitive, and Behavioral Neuroimaging
- Brain–behavior relationships and cognitive mapping
- Imaging in learning, memory, language, and emotion
- Neuroimaging for treatment response and intervention studies
- Ethical considerations and data governance in brain imaging