Structural insights into the rodent CNS via diffusion tensor imaging.
Open accessAbstract
Diffusion tensor imaging (DTI) is a useful tool for studying anatomy and pathology in the rodent central nervous system (CNS).The unique tissue contrasts provided by DTI are well suited for monitoring disease progression, studying brain development, and characterizing anatomical phenotypes. Recent technical developments have vastly improved the speed and resolution of rodent DTI. Ongoing research efforts exploring the microstructural basis of DTI signals have provided useful insights into its capabilities to delineate brain structures and detect neuropathology. Significant progress has also been made in combining DTI results with data acquired using other imaging modalities to enhance our understanding of the rodent CNS.
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DTI changes precede anatomical changes on structural MRI for detecting brain impairment in different mice models.
“Several studies have demonstrated that DTI changes precede the anatomical changes on structural MRI for detecting the brain impairment in different mice models (Zhang et al., 2012; Muller et al., 2020).”
From Age-dependent microstructure alterations in 5xFAD mice by high-resolution diffusion tensor imaging (2022) · cites this paper as Zhang et al., 2012
The ‘Using DTI to study white matter injury’ section reports DTI-detected abnormalities in rodent disease models, including an early diffusivity change in a mouse injury model. It does not compare the timing of those changes with anatomical changes on structural MRI, so the claimed precedence is unsupported. Page numbers were not available in our copy. (LLM, conf=0.82)
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References 78 · Cited by 73
Research works printed but not linked: 2
- [5]Jones DK Diffusion MRI: Theory, Methods, and Applications 2000 1st edn Oxford University Press
- [7]Johansen-Berg H Behrens TEJ Diffusion MRI: From Quantitative Measurement to In Vivo Neuroanatomy 2009 1st edn Academic Press
- Authors
- Zhang, J., Aggarwal, M., & Mori, S.
- Affiliations
- Johns Hopkins University (US)
- Kennedy Krieger Institute (US)
- Corresponding author
- Zhang, Jiangyang
- Venue
- Trends in Neurosciences
- Publisher
- Elsevier BV
- Published
- 2012-07
- Volume
- 35
- Issue
- 7
- Pages
- 412-421
- ISSN
- 0166-2236 (ISSN-L)
- PMC
- PMC3591520
- OpenAlex
- W2000690058
- Cited by
- 73
- References
- 78
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 6 · 2023: 1 · 2022: 4 · 2021: 4 · 2020: 5 · 2019: 8 · 2018: 10 · 2017: 4 · 2016: 8 · 2015: 4 · 2014: 10 · 2013: 3
- FWCI
- 0.74
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Trends in Neurosciences (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (R01AG020012, R01-AG20012)
- National Institute of Neurological Disorders and Stroke (R01NS070909, R21NS065306, R21NS059529)
- National Institute of Biomedical Imaging and Bioengineering (R01EB003543)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- diffusion tensor imaging, white matter microstructure, brain development, neuropathology, disease progression monitoring, multimodal imaging
- MeSH terms
- Animals, Brain, Image Processing, Computer-Assisted, Rodentia, Spinal Cord, Diffusion Tensor Imaging
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