Functional Subdivisions of the Cerebellum in Naturalistic Paradigm Functional Magnetic Resonance Imaging

Compelling evidence has suggested that the human cerebellum is engaged in a wide range of cognitive tasks besides traditional opinions of motor control, and it is organized into a set of distinct functional subregions. The existing model-driven cerebellum parcellations through resting-state function...
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Autor*in:	Jianing Hao [verfasserIn] Xintao Hu [verfasserIn] Liting Wang [verfasserIn] Lei Guo [verfasserIn] Junwei Han [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	cerebellum subdivision functional magnetic resonance imaging naturalistic paradigm data driven cerebellum–cerebrum connectivity

Übergeordnetes Werk:	In: Frontiers in Neuroscience - Frontiers Media S.A., 2008, 15(2021)
Übergeordnetes Werk:	volume:15 ; year:2021

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fnins.2021.748561

Katalog-ID:	DOAJ075933748

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allfieldsSound	10.3389/fnins.2021.748561 doi (DE-627)DOAJ075933748 (DE-599)DOAJe80dee0029d7408e8e516962c6e0e83e DE-627 ger DE-627 rakwb eng RC321-571 Jianing Hao verfasserin aut Functional Subdivisions of the Cerebellum in Naturalistic Paradigm Functional Magnetic Resonance Imaging 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Compelling evidence has suggested that the human cerebellum is engaged in a wide range of cognitive tasks besides traditional opinions of motor control, and it is organized into a set of distinct functional subregions. The existing model-driven cerebellum parcellations through resting-state functional MRI (rsfMRI) and task-fMRI are relatively coarse, introducing challenges in resolving the functions of the cerebellum especially when the brain is exposed to naturalistic environments. The current study took the advantages of the naturalistic paradigm (i.e., movie viewing) fMRI (nfMRI) to derive fine parcellations via a data-driven dual-regression-like sparse representation framework. The parcellations were quantitatively evaluated by functional homogeneity, and global and local boundary confidence. In addition, the differences of cerebellum–cerebrum functional connectivities between rsfMRI and nfMRI for some exemplar parcellations were compared to provide qualitatively functional validations. Our experimental results demonstrated that the proposed study successfully identified distinct subregions of the cerebellum. This fine parcellation may serve as a complementary solution to existing cerebellum parcellations, providing an alternative template for exploring neural activities of the cerebellum in naturalistic environments. cerebellum subdivision functional magnetic resonance imaging naturalistic paradigm data driven cerebellum–cerebrum connectivity Neurosciences. Biological psychiatry. Neuropsychiatry Xintao Hu verfasserin aut Liting Wang verfasserin aut Lei Guo verfasserin aut Junwei Han verfasserin aut In Frontiers in Neuroscience Frontiers Media S.A., 2008 15(2021) (DE-627)55908109X (DE-600)2411902-7 1662453X nnns volume:15 year:2021 https://doi.org/10.3389/fnins.2021.748561 kostenfrei https://doaj.org/article/e80dee0029d7408e8e516962c6e0e83e kostenfrei https://www.frontiersin.org/articles/10.3389/fnins.2021.748561/full kostenfrei https://doaj.org/toc/1662-453X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2021
language	English
source	In Frontiers in Neuroscience 15(2021) volume:15 year:2021
sourceStr	In Frontiers in Neuroscience 15(2021) volume:15 year:2021
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institution	findex.gbv.de
topic_facet	cerebellum subdivision functional magnetic resonance imaging naturalistic paradigm data driven cerebellum–cerebrum connectivity Neurosciences. Biological psychiatry. Neuropsychiatry
isfreeaccess_bool	true
container_title	Frontiers in Neuroscience
authorswithroles_txt_mv	Jianing Hao @@aut@@ Xintao Hu @@aut@@ Liting Wang @@aut@@ Lei Guo @@aut@@ Junwei Han @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
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callnumber-first	R - Medicine
author	Jianing Hao
spellingShingle	Jianing Hao misc RC321-571 misc cerebellum misc subdivision misc functional magnetic resonance imaging misc naturalistic paradigm misc data driven misc cerebellum–cerebrum connectivity misc Neurosciences. Biological psychiatry. Neuropsychiatry Functional Subdivisions of the Cerebellum in Naturalistic Paradigm Functional Magnetic Resonance Imaging
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topic_title	RC321-571 Functional Subdivisions of the Cerebellum in Naturalistic Paradigm Functional Magnetic Resonance Imaging cerebellum subdivision functional magnetic resonance imaging naturalistic paradigm data driven cerebellum–cerebrum connectivity
topic	misc RC321-571 misc cerebellum misc subdivision misc functional magnetic resonance imaging misc naturalistic paradigm misc data driven misc cerebellum–cerebrum connectivity misc Neurosciences. Biological psychiatry. Neuropsychiatry
topic_unstemmed	misc RC321-571 misc cerebellum misc subdivision misc functional magnetic resonance imaging misc naturalistic paradigm misc data driven misc cerebellum–cerebrum connectivity misc Neurosciences. Biological psychiatry. Neuropsychiatry
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title	Functional Subdivisions of the Cerebellum in Naturalistic Paradigm Functional Magnetic Resonance Imaging
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title_full	Functional Subdivisions of the Cerebellum in Naturalistic Paradigm Functional Magnetic Resonance Imaging
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title_sort	functional subdivisions of the cerebellum in naturalistic paradigm functional magnetic resonance imaging
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title_auth	Functional Subdivisions of the Cerebellum in Naturalistic Paradigm Functional Magnetic Resonance Imaging
abstract	Compelling evidence has suggested that the human cerebellum is engaged in a wide range of cognitive tasks besides traditional opinions of motor control, and it is organized into a set of distinct functional subregions. The existing model-driven cerebellum parcellations through resting-state functional MRI (rsfMRI) and task-fMRI are relatively coarse, introducing challenges in resolving the functions of the cerebellum especially when the brain is exposed to naturalistic environments. The current study took the advantages of the naturalistic paradigm (i.e., movie viewing) fMRI (nfMRI) to derive fine parcellations via a data-driven dual-regression-like sparse representation framework. The parcellations were quantitatively evaluated by functional homogeneity, and global and local boundary confidence. In addition, the differences of cerebellum–cerebrum functional connectivities between rsfMRI and nfMRI for some exemplar parcellations were compared to provide qualitatively functional validations. Our experimental results demonstrated that the proposed study successfully identified distinct subregions of the cerebellum. This fine parcellation may serve as a complementary solution to existing cerebellum parcellations, providing an alternative template for exploring neural activities of the cerebellum in naturalistic environments.
abstractGer	Compelling evidence has suggested that the human cerebellum is engaged in a wide range of cognitive tasks besides traditional opinions of motor control, and it is organized into a set of distinct functional subregions. The existing model-driven cerebellum parcellations through resting-state functional MRI (rsfMRI) and task-fMRI are relatively coarse, introducing challenges in resolving the functions of the cerebellum especially when the brain is exposed to naturalistic environments. The current study took the advantages of the naturalistic paradigm (i.e., movie viewing) fMRI (nfMRI) to derive fine parcellations via a data-driven dual-regression-like sparse representation framework. The parcellations were quantitatively evaluated by functional homogeneity, and global and local boundary confidence. In addition, the differences of cerebellum–cerebrum functional connectivities between rsfMRI and nfMRI for some exemplar parcellations were compared to provide qualitatively functional validations. Our experimental results demonstrated that the proposed study successfully identified distinct subregions of the cerebellum. This fine parcellation may serve as a complementary solution to existing cerebellum parcellations, providing an alternative template for exploring neural activities of the cerebellum in naturalistic environments.
abstract_unstemmed	Compelling evidence has suggested that the human cerebellum is engaged in a wide range of cognitive tasks besides traditional opinions of motor control, and it is organized into a set of distinct functional subregions. The existing model-driven cerebellum parcellations through resting-state functional MRI (rsfMRI) and task-fMRI are relatively coarse, introducing challenges in resolving the functions of the cerebellum especially when the brain is exposed to naturalistic environments. The current study took the advantages of the naturalistic paradigm (i.e., movie viewing) fMRI (nfMRI) to derive fine parcellations via a data-driven dual-regression-like sparse representation framework. The parcellations were quantitatively evaluated by functional homogeneity, and global and local boundary confidence. In addition, the differences of cerebellum–cerebrum functional connectivities between rsfMRI and nfMRI for some exemplar parcellations were compared to provide qualitatively functional validations. Our experimental results demonstrated that the proposed study successfully identified distinct subregions of the cerebellum. This fine parcellation may serve as a complementary solution to existing cerebellum parcellations, providing an alternative template for exploring neural activities of the cerebellum in naturalistic environments.
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title_short	Functional Subdivisions of the Cerebellum in Naturalistic Paradigm Functional Magnetic Resonance Imaging
url	https://doi.org/10.3389/fnins.2021.748561 https://doaj.org/article/e80dee0029d7408e8e516962c6e0e83e https://www.frontiersin.org/articles/10.3389/fnins.2021.748561/full https://doaj.org/toc/1662-453X
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up_date	2024-07-03T17:39:32.294Z
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