ReviewBrain informatics2015
Multimodal neuroimaging computing: a review of the applications in neuropsychiatric disorders.
Review in Brain informatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
46 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Neuroimaging Insights into the Public Health Burden of Neuropsychiatric Disorders: A Systematic Review of Electroencephalography-Based Cognitive Biomarkers.Medicina (Kaunas, Lithuania) · 2025Pooled it
- Towards a brain-based predictome of mental illness.Human brain mapping · 2020Pooled it
- The Deep Learning Revolution in Neuroimaging: Insights from a Bibliometric Analysis (2014-2024).Neuroinformatics · 2026Review
- Multimodal MRI to elucidate cross-organ coupling mechanisms of the heart-brain axis.Frontiers in cardiovascular medicine · 2026Review
- Utility of Deep Learning to Address Missing Modalities from Multi-Modal Medical Imaging Studies: A Systematic Review.Artificial intelligence and applications (Commerce, Calif.) · 2025Article
- Multimodal Brain Growth Patterns: Insights from Canonical Correlation Analysis and Deep Canonical Correlation Analysis with Auto-Encoder.Information (Basel) · 2025Article
- Precision TMS through the integration of neuroimaging and machine learning: optimizing stimulation targets for personalized treatment.Frontiers in human neuroscience · 2025Review
- Neurobiological mechanisms of the effect of exercise on depressive disorder: analysis using CiteSpace.Frontiers in psychiatry · 2025Review
- Article
- TGNet: tensor-based graph convolutional networks for multimodal brain network analysis.BioData mining · 2024Article
- A transcriptomic atlas of the human brain reveals genetically determined aspects of neuropsychiatric health.American journal of human genetics · 2024Article
- Abundant pleiotropy across neuroimaging modalities identified through a multivariate genome-wide association study.Nature communications · 2024Article
- Neuroimmune activation and increased brain aging in chronic pain patients after the COVID-19 pandemic onset.Brain, behavior, and immunity · 2024Article
- A Comprehensive Review of Sonographic Assessment of Peripheral Slow-Flow Vascular Malformations.Cureus · 2024Review
- Statistical Inferences for Complex Dependence of Multimodal Imaging Data.Journal of the American Statistical Association · 2024Article
- A machine learning approach for identifying anatomical biomarkers of early mild cognitive impairment.PeerJ · 2024Article
- Multimodal Neuroimaging Computing: Basics and Applications in Neurosurgery.Advances in experimental medicine and biology · 2024Review
- Cocaine Use Prediction With Tensor-Based Machine Learning on Multimodal MRI Connectome Data.Neural computation · 2023Article
- Chromatic fusion: Generative multimodal neuroimaging data fusion provides multi-informed insights into schizophrenia.Human brain mapping · 2023Article
- Bridging the Gap between Basic Research and Clinical Practice: The Growing Role of Translational Neurorehabilitation.Medicines (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Multimodal neuroimaging is increasingly used in neuroscience research, as it overcomes the limitations of individual modalities. One of the most important applications of multimodal neuroimaging is the provision of vital diagnostic data for neuropsychiatric disorders. Multimodal neuroimaging computing enables the visualization and quantitative analysis of the alterations in brain structure and function, and has reshaped how neuroscience research is carried out. Research in this area is growing exponentially, and so it is an appropriate time to review the current and future development of this emerging area. Hence, in this paper, we review the recent advances in multimodal neuroimaging (MRI, PET) and electrophysiological (EEG, MEG) technologies, and their applications to the neuropsychiatric disorders. We also outline some future directions for multimodal neuroimaging where researchers will design more advanced methods and models for neuropsychiatric research.
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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.