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Cited by 76Functional Brain Connectivity StudiesAdvanced MRI Techniques and ApplicationsAdvanced Neuroimaging Techniques and Applications

Functional Connectivity Mapping in the Animal Model: Principles and Applications of Resting-State fMRI

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Gorges, Martin, Roselli, Francesco, Müller, Hans-Peter, Ludolph, Albert C., Rasche, Volker, Kassubek, Jan·2017·Frontiers in Neurology
DOI 10.3389/fneur.2017.00200PMC PMC5423907
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Abstract

‘Resting-state’ fMRI has substantially contributed to the understanding of human and non-human functional brain organization by the analysis of correlated patterns in spontaneous activity within dedicated brain systems. Spontaneous neural activity is indirectly measured from the blood oxygenation level dependent (BOLD) signal as acquired by echo planar imaging, when subjects quietly ‘resting’ in the scanner. Animal models including disease or knockout models allow a broad spectrum of experimental manipulations not applicable in humans. The noninvasive fMRI approach provides a promising tool for cross-species comparative investigations. This review focuses on the principles of ‘resting-state’ functional connectivity analysis and its applications to living animals. The translational aspect from in vivo animal models towards clinical applications in humans is emphasized. We introduce the fMRI-based investigation of the non-human brain’s hemodynamics, the methodological issues in the data postprocessing, and the functional data interpretation from different abstraction levels. The longer-term goal of integrating fMRI connectivity data with structural connectomes obtained with tracing and optical imaging approaches is presented and will allow the interrogation of fMRI data in terms of directional flow of information and may identify the structural underpinnings of observed functional connectivity patterns.

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  • Connectome properties have been shown to be preserved across species and therefore provide a unique translational bridge between preclinical and clinical studies.

    “Connectome properties have been shown to be preserved across species and therefore provide a unique translational bridge between preclinical and clinical studies (Gorges et al., 2017; Oh et al., 2014; Stafford et al., 2014; van den Heuvel, Bullmore, & Sporns, 2016).”

    From Functional and structural connectome properties in the 5XFAD transgenic mouse model of Alzheimer’s disease (2018) · cites this paper as Gorges et al., 2017

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Cited by

Sorted by citations

Authors
Gorges, M., Roselli, F., Müller, H.-P., Ludolph, A. C., Rasche, V., & Kassubek, J.
Affiliations
Universität Ulm (DE)
Corresponding author
Kassubek, Jan
ORCID
Venue
Frontiers in Neurology
Publisher
Frontiers Media SA
Published
2017-05-10
Volume
8
Pages
200-200
ISSN
1664-2295 (ISSN-L)
DOI
10.3389/fneur.2017.00200
PMC
PMC5423907
OpenAlex
W2612129909
Cited by
76
References
15
Citations by year
2026: 1 · 2025: 3 · 2024: 5 · 2023: 7 · 2022: 7 · 2021: 14 · 2020: 13 · 2019: 8 · 2018: 18
FWCI
1.19
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Frontiers in Neurology (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (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, other-oa)
  • Universität Ulm, Kommunikations- und Informationszentrum (kiz) (cc-by)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Keywords
resting-state fMRI, functional connectivity, animal models, spontaneous neuronal activity, BOLD signal, hemodynamics, structural connectome, translational research, knockout models, cross-species comparison, echo planar imaging, data post-processing, information flow

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