ArticleNeuroImage2015
Optimization of large-scale mouse brain connectome via joint evaluation of DTI and neuron tracing data.
Article in NeuroImage, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.
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Who cites it
31 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Diffusion Tensor Imaging-Based Studies at the Group-Level Applied to Animal Models of Neurodegenerative Diseases.Frontiers in neuroscience · 2020Pooled it
- Discovering hierarchical common brain networks via multimodal deep belief network.Medical image analysis · 2019Pooled it
- A systematic review on the quantitative relationship between structural and functional network connectivity strength in mammalian brains.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2019Pooled it
- Mapping the spatiotemporal continuum of structural connectivity development across the human connectome in youth.Nature communications · 2026Article
- From Circuits to Lifespan: Translating Mouse and Human Timelines with Neuroimaging-Based Tractography.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- From circuits to lifespan: translating mouse and human timelines with neuroimaging based tractography.bioRxiv : the preprint server for biology · 2024Article
- Individualized epidemic spreading models predict epilepsy surgery outcomes: A pseudo-prospective study.Network neuroscience (Cambridge, Mass.) · 2024Article
- Early adversity changes the economic conditions of mouse structural brain network organization.Developmental psychobiology · 2023Article
- Using mesoscopic tract-tracing data to guide the estimation of fiber orientation distributions in the mouse brain from diffusion MRI.NeuroImage · 2023Article
- The role of epidemic spreading in seizure dynamics and epilepsy surgery.Network neuroscience (Cambridge, Mass.) · 2023Article
- Review
- Article
- Brain virtual histology with X-ray phase-contrast tomography Part I: whole-brain myelin mapping in white-matter injury models.Biomedical optics express · 2022Article
- The role of spatial embedding in mouse brain networks constructed from diffusion tractography and tracer injections.NeuroImage · 2021Article
- Estimating Brain Connectivity With Diffusion-Weighted Magnetic Resonance Imaging: Promise and Peril.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2020Review
- Cytoarchitecture of the mouse brain by high resolution diffusion magnetic resonance imaging.NeuroImage · 2020Article
- Distinct structure-function relationships across cortical regions and connectivity scales in the rat brain.Scientific reports · 2020Article
- Evolution of Brain Connections: Integrating Diffusion MR Tractography With Gene Expression Highlights Increased Corticocortical Projections in Primates.Cerebral cortex (New York, N.Y. : 1991) · 2019Article
- Building connectomes using diffusion MRI: why, how and but.NMR in biomedicine · 2019Review
- A registration method for improving quantitative assessment in probabilistic diffusion tractography.NeuroImage · 2019Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Tractography based on diffusion tensor imaging (DTI) data has been used as a tool by a large number of recent studies to investigate structural connectome. Despite its great success in offering unique 3D neuroanatomy information, DTI is an indirect observation with limited resolution and accuracy and its reliability is still unclear. Thus, it is essential to answer this fundamental question: how reliable is DTI tractography in constructing large-scale connectome? To answer this question, we employed neuron tracing data of 1772 experiments on the mouse brain released by the Allen Mouse Brain Connectivity Atlas (AMCA) as the ground-truth to assess the performance of DTI tractography in inferring white matter fiber pathways and inter-regional connections. For the first time in the neuroimaging field, the performance of whole brain DTI tractography in constructing a large-scale connectome has been evaluated by comparison with tracing data. Our results suggested that only with the optimized tractography parameters and the appropriate scale of brain parcellation scheme, can DTI produce relatively reliable fiber pathways and a large-scale connectome. Meanwhile, a considerable amount of errors were also identified in optimized DTI tractography results, which we believe could be potentially alleviated by efforts in developing better DTI tractography approaches. In this scenario, our framework could serve as a reliable and quantitative test bed to identify errors in tractography results which will facilitate the development of such novel tractography algorithms and the selection of optimal parameters.
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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.