ArticleAn international journal on information fusion2020
Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation.
Article in An international journal on information fusion, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
97 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Physiological influences on neurovascular coupling: A systematic review of multimodal imaging approaches and recommendations for future study designs.Experimental physiology · 2025Pooled it
- Neuroimage analysis using artificial intelligence approaches: a systematic review.Medical & biological engineering & computing · 2024Pooled it
- Factors associated with brain ageing - a systematic review.BMC neurology · 2021Pooled it
- Preoperative assessment of IDH status in adult glioma by integratedEJNMMI research · 2026Article
- Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Neurovascular Uncoupling in Alzheimer's and Parkinson's Diseases: Mechanisms and Therapeutic Strategies.Brain sciences · 2026Review
- Classification of major depressive disorder using vertex-wise brain sulcal depth, curvature, and thickness with a deep and a shallow learning model.Molecular psychiatry · 2026Article
- Machine learning unveils three layers of food complexity.NPJ science of food · 2026Review
- The Tip-of-the-Tongue Phenomenon: Cognitive, Neural, and Neurochemical Perspectives.Biomedicines · 2026Review
- Closed-loop neuromodulation: a paradigm shift in precision neuroscience for clinical and cognitive applications.Frontiers in neuroscience · 2026Review
- Multimodal Fusion of Structural and Diffusion MRI for Intelligence Prediction.Proceedings. IEEE Southwest Symposium on Image Analysis and Interpretation · 2026Article
- Challenge-based learning in blended education: a meta-analysis of deep learning outcomes.Frontiers in psychology · 2026Review
- TC2-Res: a structured fusion of tract-level and connectome-level brain imaging in small-sample cohorts of athletes.Frontiers in neuroanatomy · 2026Article
- Editorial: Multimodal brain data integration and computational modeling.Frontiers in neuroinformatics · 2026Article
- Early diagnosis and developmental outcome prediction of agenesis of the corpus callosum via an interpretable deep multimodal fusion model.Frontiers in neuroscience · 2026Article
- Advances in multiscale myelin imaging: from classical histology to functional insights.Frontiers in cellular neuroscience · 2026Review
- Multiplex functional connectome graph transformer for cognitive vulnerability in dialysis-treated chronic kidney disease.Frontiers in psychiatry · 2026Article
- Generalizable structure-function covariation predictive of antidepressant response revealed by target-oriented multimodal fusion.Nature. Mental health · 2026Article
- Vision and convolutional transformers for Alzheimer's disease diagnosis: a systematic review of architectures, multimodal fusion and critical gaps.Brain informatics · 2025Review
- Multimodal Imaging Reveals Cerebral Microcirculation Dynamics and Mechanisms in Mouse Central Nervous System After Intranasal Infection With Recombinant Pseudorabies Virus.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
37 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multimodal fusion in neuroimaging combines data from multiple imaging modalities to overcome the fundamental limitations of individual modalities. Neuroimaging fusion can achieve higher temporal and spatial resolution, enhance contrast, correct imaging distortions, and bridge physiological and cognitive information. In this study, we analyzed over 450 references from PubMed, Google Scholar, IEEE, ScienceDirect, Web of Science, and various sources published from 1978 to 2020. We provide a review that encompasses (1) an overview of current challenges in multimodal fusion (2) the current medical applications of fusion for specific neurological diseases, (3) strengths and limitations of available imaging modalities, (4) fundamental fusion rules, (5) fusion quality assessment methods, and (6) the applications of fusion for atlas-based segmentation and quantification. Overall, multimodal fusion shows significant benefits in clinical diagnosis and neuroscience research. Widespread education and further research amongst engineers, researchers and clinicians will benefit the field of multimodal neuroimaging.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.