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

Abstract Resting-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 co...

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Autores principales:	Dóra Szabó, Kálmán Czeibert, Ádám Kettinger, Márta Gácsi, Attila Andics, Ádám Miklósi, Enikő Kubinyi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/563e0d9790d8437f8061ac3c9358f8d3
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spelling	oai:doaj.org-article:563e0d9790d8437f8061ac3c9358f8d32021-12-02T15:08:09ZResting-state fMRI data of awake dogs (Canis familiaris) via group-level independent component analysis reveal multiple, spatially distributed resting-state networks10.1038/s41598-019-51752-22045-2322https://doaj.org/article/563e0d9790d8437f8061ac3c9358f8d32019-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-019-51752-2https://doaj.org/toc/2045-2322Abstract Resting-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 individuals of both sexes and carried out group-level spatial independent component analysis to explore whole-brain connectivity patterns. In this exploratory study, using resting-state functional magnetic resonance imaging (rs-fMRI), we found several such networks: a network involving prefrontal, anterior cingulate, posterior cingulate and hippocampal regions; sensorimotor (SMN), auditory (AUD), frontal (FRO), cerebellar (CER) and striatal networks. The network containing posterior cingulate regions, similarly to Primates, but unlike previous studies in dogs, showed antero-posterior connectedness with involvement of hippocampal and lateral temporal regions. The results give insight into the resting-state networks of awake animals from a taxon beyond rodents through a non-invasive method.Dóra SzabóKálmán CzeibertÁdám KettingerMárta GácsiAttila AndicsÁdám MiklósiEnikő KubinyiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 9, Iss 1, Pp 1-25 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Dóra Szabó Kálmán Czeibert Ádám Kettinger Márta Gácsi Attila Andics Ádám Miklósi Enikő Kubinyi Resting-state fMRI data of awake dogs (Canis familiaris) via group-level independent component analysis reveal multiple, spatially distributed resting-state networks
description	Abstract Resting-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 individuals of both sexes and carried out group-level spatial independent component analysis to explore whole-brain connectivity patterns. In this exploratory study, using resting-state functional magnetic resonance imaging (rs-fMRI), we found several such networks: a network involving prefrontal, anterior cingulate, posterior cingulate and hippocampal regions; sensorimotor (SMN), auditory (AUD), frontal (FRO), cerebellar (CER) and striatal networks. The network containing posterior cingulate regions, similarly to Primates, but unlike previous studies in dogs, showed antero-posterior connectedness with involvement of hippocampal and lateral temporal regions. The results give insight into the resting-state networks of awake animals from a taxon beyond rodents through a non-invasive method.
format	article
author	Dóra Szabó Kálmán Czeibert Ádám Kettinger Márta Gácsi Attila Andics Ádám Miklósi Enikő Kubinyi
author_facet	Dóra Szabó Kálmán Czeibert Ádám Kettinger Márta Gácsi Attila Andics Ádám Miklósi Enikő Kubinyi
author_sort	Dóra Szabó
title	Resting-state fMRI data of awake dogs (Canis familiaris) via group-level independent component analysis reveal multiple, spatially distributed resting-state networks
title_short	Resting-state fMRI data of awake dogs (Canis familiaris) via group-level independent component analysis reveal multiple, spatially distributed resting-state networks
title_full	Resting-state fMRI data of awake dogs (Canis familiaris) via group-level independent component analysis reveal multiple, spatially distributed resting-state networks
title_fullStr	Resting-state fMRI data of awake dogs (Canis familiaris) via group-level independent component analysis reveal multiple, spatially distributed resting-state networks
title_full_unstemmed	Resting-state fMRI data of awake dogs (Canis familiaris) via group-level independent component analysis reveal multiple, spatially distributed resting-state networks
title_sort	resting-state fmri data of awake dogs (canis familiaris) via group-level independent component analysis reveal multiple, spatially distributed resting-state networks
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/563e0d9790d8437f8061ac3c9358f8d3
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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

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