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Resting-state fMRI data of awake dogs (Canis familiaris) via group-level independent component analysis reveal multiple, spatially distributed resting-state networks

Authors: Szabό, Dόra; Czeibert, Kálmán; Kettinger, Ádám; Gácsi, Márta; Andics, Attila; Miklόsi, Ádám; Kubinyi, Enikő;

Resting-state fMRI data of awake dogs (Canis familiaris) via group-level independent component analysis reveal multiple, spatially distributed resting-state networks

Abstract

ABSTRACTResting-state networks are spatially distributed, functionally connected brain regions. Studying these networks gives us information about the large-scale functional organization of the brain and alternations in these networks are considered to play a role in a wide range of neurological conditions and aging. To describe resting-state networks in dogs, we measured 22 awake, unrestrained animals of either sex and carried out group-level spatial independent component analysis to explore whole-brain connectivity patterns. Using resting-state functional magnetic resonance imaging (rs-fMRI), in this exploratory study we found multiple resting-state networks in dogs, which resemble the pattern described in humans. We report the following dog resting-state networks: default mode network (DMN), visual network (VIS), sensorimotor network (SMN), combined auditory (AUD)-saliency (SAL) network and cerebellar network (CER). The DMN, similarly to Primates, but unlike previous studies in dogs, showed antero-posterior connectedness with involvement of hippocampal and lateral temporal regions. The results give us insight into the resting-state networks of awake animals from a taxon beyond rodents through a non-invasive method.

Country
Hungary
Subjects by Vocabulary

Microsoft Academic Graph classification: Spatial independent component analysis Hippocampal formation Biology medicine Group level Default mode network medicine.diagnostic_test Resting state fMRI Independent component analysis Posterior cingulate Temporal Regions Functional organization Functional magnetic resonance imaging Neuroscience

Keywords

Male, Rest, Science, Functional magnetic resonance imaging, Article, Dogs, Animals, Brain Mapping, Multidisciplinary, Functional Neuroimaging, Q, R, Brain, Cognitive neuroscience, Magnetic Resonance Imaging, Medicine, Female, Nerve Net

52 references, page 1 of 6

van den Heuvel, MP, Hulshoff Pol, HE. Exploring the brain network: A review on resting-state fMRI functional connectivity. Eur. Neuropsychopharmacol.. 2010; 20: 519-534 [OpenAIRE] [PubMed] [DOI]

Beckmann, CF. Modelling with independent components. NeuroImage. 2012; 62: 891-901 [OpenAIRE] [PubMed] [DOI]

Park, H.-J., Friston, K.. Structural and Functional Brain Networks: From Connections to Cognition. Science. 2013; 342 (6158): 1238411-1238411 [OpenAIRE] [PubMed] [DOI]

Broyd, SJ. Default-mode brain dysfunction in mental disorders: A systematic review. Neurosci. Biobehav. Rev.. 2009; 33: 279-296 [OpenAIRE] [PubMed] [DOI]

Keifer, J, Summers, CH. Putting the “Biology” Back into “Neurobiology”: The Strength of Diversity in Animal Model Systems for Neuroscience Research. Front. Syst. Neurosci.. 2016; 10: 1-9 [OpenAIRE] [PubMed] [DOI]

Sforazzini, Francesco, Schwarz, Adam J., Galbusera, Alberto, Bifone, Angelo, Gozzi, Alessandro. Distributed BOLD and CBV-weighted resting-state networks in the mouse brain. NeuroImage. 2014; 87: 403-415 [OpenAIRE] [PubMed] [DOI]

Lu, H. Rat brains also have a default mode network. Proc. Natl. Acad. Sci.. 2012; 109: 3979-3984 [OpenAIRE] [PubMed] [DOI]

Belcher, AM. Large-Scale Brain Networks in the Awake, Truly Resting Marmoset Monkey. J. Neurosci.. 2013; 33: 16796-16804 [OpenAIRE] [PubMed] [DOI]

Hutchison, RM. Resting-state networks in the macaque at 7T. NeuroImage. 2011; 56: 1546-1555 [OpenAIRE] [PubMed] [DOI]

10.Ortiz, J. J., Portillo, W., Paredes, R. G., Young, L. J. & Alcauter, S. Resting state brain networks in the prairie vole. Sci. Reports 1–11, 10.1038/s41598-017-17610-9 (2018).

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    14
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Average
Top 10%
Green
gold
Funded by
EC| EVOLOR
Project
EVOLOR
Cognitive Ageing in Dogs
  • Funder: European Commission (EC)
  • Project Code: 680040
  • Funding stream: H2020 | ERC | ERC-STG
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Neuroinformatics
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