ArticleBrain structure & function2017
A seed-based cross-modal comparison of brain connectivity measures.
Article in Brain structure & function, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
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Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Localised grey matter atrophy in multiple sclerosis is network-based: a coordinate-based meta-analysis.Clinical radiology · 2019Pooled it
- Characterisation of meta-analytical functional connectivity in progressive supranuclear palsy.Clinical radiology · 2018Pooled it
- Association of HIV infection and alcohol use on resting-state functional connectivity and mental health in youth living with perinatal HIV.Research square · 2026Article
- Anatomic & functional brain atlases: connecting functional flexibility with fixed infrastructure.Brain structure & function · 2026Review
- Structural and functional covariance architecture of major depressive disorder: A meta-analytic structural equation modeling approach to primary neuroimaging analysis.Brain organoid & systems neuroscience journal · 2025Article
- Similarity between structural and proxy estimates of brain connectivity.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024Article
- Hippocampal anterior- posterior shift in childhood and adolescence.Progress in neurobiology · 2023Article
- Amygdala abnormalities across disease stages in patients with sporadic amyotrophic lateral sclerosis.Human brain mapping · 2022Article
- The brain's structural differences between postherpetic neuralgia and lower back pain.Scientific reports · 2021Article
- Brain Structure and Function: the first 15 years-a retrospective.Brain structure & function · 2021Article
- Intrasubject functional connectivity related to self-generated thoughts.Brain and behavior · 2021Article
- Predicting Individual Pain Thresholds From Morphological Connectivity Using Structural MRI: A Multivariate Analysis Study.Frontiers in neuroscience · 2021Article
- Multimodal neuroimaging analysis reveals age-associated common and discrete cognitive control constructs.Human brain mapping · 2019Article
- The homotopic connectivity of the functional brain: a meta-analytic approach.Scientific reports · 2019Article
- Review
- The hippocampal network model: A transdiagnostic metaconnectomic approach.NeuroImage. Clinical · 2018Article
- Do all roads lead to Rome? A comparison of brain networks derived from inter-subject volumetric and metabolic covariance and moment-to-moment hemodynamic correlations in old individuals.Brain structure & function · 2017Article
- Multimodal evaluation of the amygdala's functional connectivity.NeuroImage · 2017Article
- Studying neuroanatomy using MRI.Nature neuroscience · 2017Review
- Construction of Individual Morphological Brain Networks with Multiple Morphometric Features.Frontiers in neuroanatomy · 2017Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Human neuroimaging methods have provided a number of means by which the connectivity structure of the human brain can be inferred. For instance, correlations in blood-oxygen-level-dependent (BOLD) signal time series are commonly used to make inferences about "functional connectivity." Correlations across samples in structural morphometric measures, such as voxel-based morphometry (VBM) or cortical thickness (CT), have also been used to estimate connectivity, putatively through mutually trophic effects on connected brain areas. In this study, we have compared seed-based connectivity estimates obtained from four common correlational approaches: resting-state functional connectivity (RS-fMRI), meta-analytic connectivity modeling (MACM), VBM correlations, and CT correlations. We found that the two functional approaches (RS-fMRI and MACM) had the best agreement. While the two structural approaches (CT and VBM) had better-than-random convergence, they were no more similar to each other than to the functional approaches. The degree of correspondence between modalities varied considerably across seed regions, and also depended on the threshold applied to the connectivity distribution. These results demonstrate some degrees of similarity between connectivity inferred from structural and functional covariances, particularly for the most robust functionally connected regions (e.g., the default mode network). However, they also caution that these measures likely capture very different aspects of brain structure and function.
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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.