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Article Dans Une Revue Frontiers in Neuroinformatics Année : 2020

Animal Functional Magnetic Resonance Imaging: Trends and Path Toward Standardization

Francesca Mandino
  • Fonction : Auteur
Domenic H Cerri
  • Fonction : Auteur
Clement M Garin
  • Fonction : Auteur
Milou Straathof
  • Fonction : Auteur
Geralda a F van Tilborg
  • Fonction : Auteur
M Mallar Chakravarty
  • Fonction : Auteur
Rick M Dijkhuizen
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Alessandro Gozzi
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Andreas Hess
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Shella D Keilholz
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Jason P Lerch
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Yen-Yu Ian Shih
  • Fonction : Auteur
Joanes Grandjean
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Résumé

Animal whole-brain functional magnetic resonance imaging (fMRI) provides a noninvasive window into brain activity. A collection of associated methods aims to replicate observations made in humans and to identify the mechanisms underlying the distributed neuronal activity in the healthy and disordered brain. Animal fMRI studies have developed rapidly over the past years, fueled by the development of resting-state fMRI connectivity and genetically encoded neuromodulatory tools. Yet, comparisons between sites remain hampered by lack of standardization. Recently, we highlighted that mouse resting-state functional connectivity converges across centers, although large discrepancies in sensitivity and specificity remained. Here, we explore past and present trends within the animal fMRI community and highlight critical aspects in study design, data acquisition, and post-processing operations, that may affect the results and influence the comparability between studies. We also suggest practices aimed to promote the adoption of standards within the community and improve between lab reproducibility. The implementation of standardized animal neuroimaging protocols will facilitate animal population imaging efforts as well as meta-analysis and replication studies, the gold standards in evidence-based science.
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Dates et versions

hal-03053221 , version 1 (10-12-2020)

Identifiants

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Francesca Mandino, Domenic H Cerri, Clement M Garin, Milou Straathof, Geralda a F van Tilborg, et al.. Animal Functional Magnetic Resonance Imaging: Trends and Path Toward Standardization. Frontiers in Neuroinformatics, 2020, 13, ⟨10.3389/fninf.2019.00078⟩. ⟨hal-03053221⟩
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