ReviewNeuroImage2014
Function-structure associations of the brain: evidence from multimodal connectivity and covariance studies.
Review in NeuroImage, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
85 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- A systematic review of the relationship between magnetic resonance imaging based resting-state and structural networks in the rodent brain.Frontiers in neuroscience · 2023Pooled it
- Abnormalities of regional brain function in Parkinson's disease: a meta-analysis of resting state functional magnetic resonance imaging studies.Scientific reports · 2017Pooled it
- Pooled it
- Neuroplasticity in response to cognitive behavior therapy for social anxiety disorder.Translational psychiatry · 2016Trial
- Trial
- Lysophospholipids in Synucleinopathies: A Conceptual Framework Linking Proteostasis and Neuroinflammatory Signaling.Brain sciences · 2026Review
- Mapping latent neuroanatomical substrates of behavioral and emotional dysregulation in ADHD.Psychological medicine · 2026Article
- Primate-informed neural network for visual decision-making.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- The development of aperiodic neural activity in the human brain.Nature human behaviour · 2025Article
- Cognitive heterogeneity in major depressive disorder: classification by IQ trajectory and multimodal neuroimaging profiles.BMC psychiatry · 2025Article
- Analysis of Longitudinal Change Patterns in Developing Brain Using Functional and Structural Magnetic Resonance Imaging via Multimodal Fusion.Human brain mapping · 2025Article
- Integrated brain connectivity analysis with fMRI, DTI, and sMRI powered by interpretable graph neural networks.Medical image analysis · 2025Article
- A novel integration of brain structural and functional connectivity for identifying traumatic brain injury induced perturbations.Journal of neuroscience methods · 2025Article
- Article
- Confound Controlled Multimodal Neuroimaging Data Fusion and Its Application to Developmental Disorders.IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · 2025Article
- P-Wave Duration Is Associated With Aging Patterns in Structural Brain Networks.Journal of the American Heart Association · 2024Article
- Disrupted small-world white matter networks in patients with major depression and recent suicide plans or attempts.Brain imaging and behavior · 2024Article
- A spatially constrained independent component analysis jointly informed by structural and functional network connectivity.bioRxiv : the preprint server for biology · 2024Article
- A within-subject voxel-wise constant-block partial least squares correlation method to explore MRI-based brain structure-function relationship.Cognitive neurodynamics · 2024Article
- Cortical thickness moderates intraindividual variability in prefrontal cortex activation patterns of older adults during walking.Journal of the International Neuropsychological Society : JINS · 2024Article
25 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
5 authors.
Funding
Abstract
Despite significant advances in multimodal imaging techniques and analysis approaches, unimodal studies are still the predominant way to investigate brain changes or group differences, including structural magnetic resonance imaging (sMRI), functional MRI (fMRI), diffusion tensor imaging (DTI) and electroencephalography (EEG). Multimodal brain studies can be used to understand the complex interplay of anatomical, functional and physiological brain alterations or development, and to better comprehend the biological significance of multiple imaging measures. To examine the function-structure associations of the brain in a more comprehensive and integrated manner, we reviewed a number of multimodal studies that combined two or more functional (fMRI and/or EEG) and structural (sMRI and/or DTI) modalities. In this review paper, we specifically focused on multimodal neuroimaging studies on cognition, aging, disease and behavior. We also compared multiple analysis approaches, including univariate and multivariate methods. The possible strengths and limitations of each method are highlighted, which can guide readers when selecting a method based on a given research question. In particular, we believe that multimodal fusion approaches will shed further light on the neuronal mechanisms underlying the major structural and functional pathophysiological features of both the healthy brain (e.g. development) or the diseased brain (e.g. mental illness) and, in the latter case, may provide a more sensitive measure than unimodal imaging for disease classification, e.g. multimodal biomarkers, which potentially can be used to support clinical diagnosis based on neuroimaging techniques.
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What OpenQuestion holds
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.