The DOI matches its Crossref record; 243 of the 244 references it cites were found in a registry or an index.
Diffusion tensor imaging‐based studies at the group‐level applied to animal models of neurodegenerative diseases
Open accessAbstract
Diffusion tensor imaging (DTI), as a technique of diffusion-weighted magnetic resonance imaging (MRI), has substantially contributed to the understanding of human and non-human microstructural brain alterations in the course of neurodegenerative diseases. Given that animal models including disease or knockout models allow for a broad spectrum of experimental manipulations not applicable to humans, the non-invasive DTI approach provides a promising tool for cross-species comparative and longitudinal investigations of the neurobiological targets and mechanisms of neurodegeneration. This overview with a systematic review focuses on the principles of DTI analysis as used in studies at the group level in living preclinical models of neurodegeneration. The translational aspect from in vivo animal models toward clinical applications in humans is covered as well as the DTI-based investigation of the non-human brains´ microstructure, the methodological issues in data postprocessing, and data interpretation at different abstraction levels. The aim of integrating DTI in multiparametric or multimodal imaging protocols will allow the interrogation of DTI data in terms of directional flow of information and may identify the microstructural underpinnings of neurodegeneration-related patterns.
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“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 Muller et al., 2020
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“Significant directional alignment between MRI and transcriptional changes likely reflects co‐occurring neuronal loss, dendritic degeneration, axonal disruption, and myelin damage, 85 , 86 , 87 together with cellular responses to neuroinflammation and neuropathology. 69”
From Diffusion MRI reveals amyloid plaque–associated cellular signatures through spatial transcriptomic integration (2026) · cites this paper as [86]
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Flagged first, then by citations
1 of the 244 references couldn’t be matched to a known paper.
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“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).”
Background
Metadata
- Authors
- Müller, H.-P., Roselli, F., Rasche, V., & Kassubek, J.
- Affiliations
- Universität Ulm (DE)
- Corresponding author
- Müller, Hans-Peter
- Venue
- Frontiers in Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2020-08-31
- Volume
- 14
- Pages
- 734-734
- ISSN
- 1662-453X (ISSN-L)
- PMC
- PMC7487414
- OpenAlex
- W3081907146
- Cited by
- 12
- References
- 244
- Citations by year
- 2026: 3 · 2024: 2 · 2023: 1 · 2022: 4 · 2021: 2
- FWCI
- 0.26
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Neuroscience (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- OPen Access Repositorium der Universität Ulm (OPARU) (Ulm University) (submittedVersion, cc-by)
- DZNE Pub (submittedVersion, other-oa)
- Universität Ulm, Kommunikations- und Informationszentrum (kiz) (cc-by)
- Funders
- Deutsche Forschungsgemeinschaft
- 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, neurodegenerative diseases, animal models of neurodegeneration, brain microstructure, translational research, knockout models, multimodal imaging, white matter microstructure, cross-species comparison
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