Cited by 12Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and ApplicationsFunctional Brain Connectivity Studies

Diffusion tensor imaging‐based studies at the group‐level applied to animal models of neurodegenerative diseases

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Müller, Hans-Peter, Roselli, Francesco, Rasche, Volker, Kassubek, Jan·2020·Frontiers in Neuroscience

Abstract

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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Crossref · 10.3389/fnins.2020.00734

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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 Muller et al., 2020

    The section on AD animal models reports that DTI detects abnormalities in several mouse models, including changes detected as early as 2.5 months in a tauopathy model (page unavailable). It does not establish that those DTI changes precede anatomical changes visible on structural MRI; the Discussion describes longitudinal DTI findings without making that comparison. (LLM, conf=0.84)

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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, together with cellular responses to neuroinflammation and neuropathology.

    “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]

    Citation 69 is attached to the proposed cellular responses to neuroinflammation and neuropathology. The Introduction (Neuroimaging of Neurodegenerative Diseases in Humans and Preclinical Models; page unavailable) says cellular mechanisms are not completely understood, while the Applications section links DTI abnormalities to tissue pathology. Searches for neuroinflammation, cellular responses, and MRI–transcriptional alignment found no passage making the attributed connection. (LLM, conf=0.72)

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1 of the 244 references couldn’t be matched to a known paper.

Research works printed but not linked: 2

  1. Paxinos G. Franklin K. B. J. (2007). The mouse brain in stereotaxic coordinates. 3rd Edn. New York, NY: Academic press; Elsevier
  2. Paxinos G. Watson C. (2013). The Rat Brain in Stereotaxic Coordinates. 7th Edn. New York, NY: Academic Press; Elsevier.

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Authors
Müller, H.-P., Roselli, F., Rasche, V., & Kassubek, J.
Affiliations
Universität Ulm (DE)
Corresponding author
Müller, Hans-Peter
Venue
Frontiers in Neuroscience
Published
2020-08-31
Volume
14
Pages
734-734
ISSN
1662-453X (ISSN-L)
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
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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