This Research Topic is dedicated to highlighting current advances, applications, and methodological innovations in multimodal neuroimaging. We aim to showcase studies that harness the synergistic potential of integrating two or more imaging modalities to decipher the healthy and diseased brain. Our scope spans basic neuroscience, clinical research, and technical development; we are particularly interested in interdisciplinary work that bridges imaging physics, data science, neurobiology, and translational medicine. Through this collection, we seek to advance the field towards a more comprehensive, systems-level understanding of brain organization and function.
We invite submissions on a broad range of subjects related to multimodal neuroimaging, including but not limited to:
1. Novel approaches for data acquisition, co-registration, and integration of multiple imaging modalities. Examples include simultaneous PET/MRI, EEG-fMRI, optical/MRI, or hybrid MEG-EEG, as well as advancements in artifact correction and motion compensation.
2. Studies using multimodal imaging to investigate brain networks, connectivity, and dynamics across the lifespan, during cognitive tasks, resting state, or naturalistic paradigms.
3. Multimodal approaches in the diagnosis, prognosis, and monitoring of neurological or psychiatric disorders—including epilepsy, neurodegenerative diseases, brain tumors, stroke, and mental health conditions. We also welcome contributions leveraging machine learning or AI-based tools in multimodal neuroimaging analysis, especially those enhancing cross-modal feature integration or improving clinical decision-making.
4. Perspectives and reviews on the challenges facing multimodal neuroimaging, such as standardization, data sharing, big data management, and open science, as well as commentary on the future landscape of the field.
Article types and fees
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Case Report
Clinical Trial
Community Case Study
Curriculum, Instruction, and Pedagogy
Data Report
Editorial
FAIR² Data
FAIR² DATA Direct Submission
Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.
Article types
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Case Report
Clinical Trial
Community Case Study
Curriculum, Instruction, and Pedagogy
Data Report
Editorial
FAIR² Data
FAIR² DATA Direct Submission
General Commentary
Hypothesis and Theory
Methods
Mini Review
Opinion
Original Research
Perspective
Review
Study Protocol
Systematic Review
Technology and Code
Keywords: neuroimaging, PET/MRI, multimodal MRI
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.