ArticleJournal of the Optical Society of America. A, Optics, image science, and vision2021
Variability in atlas registration of optical intrinsic signal imaging and its effect on functional connectivity analysis.
Article in Journal of the Optical Society of America. A, Optics, image science, and vision, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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
6 citing papers in PubMed.
- Improving Neuropathological Reconstruction Fidelity via AI Slice Imputation.Research square · 2026Article
- Functional connectivity changes in mouse models of maple syrup urine disease.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Intact-skull cranial windows for widefield optical imaging in juvenile mice: complications and consequences.Journal of the Optical Society of America. A, Optics, image science, and vision · 2024Article
- Spatial nonstationarity of image noise in widefield optical imaging and its effects on cluster-based inference for resting-state functional connectivity.Journal of neuroscience methods · 2024Article
- Controlling the familywise error rate in widefield optical neuroimaging of functional connectivity in mice.Neurophotonics · 2023Article
- Statistical approaches to temporal and spatial autocorrelation in resting-state functional connectivity in mice measured with optical intrinsic signal imaging.Neurophotonics · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
To compare neuroimaging data between subjects, images from individual sessions need to be aligned to a common reference or "atlas." Atlas registration of optical intrinsic signal imaging of mice, for example, is commonly performed using affine transforms with parameters determined by manual selection of canonical skull landmarks. Errors introduced by such procedures have not previously been investigated. We quantify the variability that arises from this process and consequent errors from misalignment that affect interpretation of functional neuroimaging data. We propose an improved method, using separately acquired high-resolution images and demonstrate improvements in variability and alignment using this method.
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Registered trials
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