BigBrain 3D atlas of cortical layers: Cortical and laminar thickness gradients diverge in sensory and motor cortices.

Histological atlases of the cerebral cortex, such as those made famous by Brodmann and von Economo, are invaluable for understanding human brain microstructure and its relationship with functional organization in the brain. However, these existing atlases are limited to small numbers of manually ann...
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Autor*in:	Konrad Wagstyl [verfasserIn] Stéphanie Larocque [verfasserIn] Guillem Cucurull [verfasserIn] Claude Lepage [verfasserIn] Joseph Paul Cohen [verfasserIn] Sebastian Bludau [verfasserIn] Nicola Palomero-Gallagher [verfasserIn] Lindsay B Lewis [verfasserIn] Thomas Funck [verfasserIn] Hannah Spitzer [verfasserIn] Timo Dickscheid [verfasserIn] Paul C Fletcher [verfasserIn] Adriana Romero [verfasserIn] Karl Zilles [verfasserIn] Katrin Amunts [verfasserIn] Yoshua Bengio [verfasserIn] Alan C Evans [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Übergeordnetes Werk:	In: PLoS Biology - Public Library of Science (PLoS), 2003, 18(2020), 4, p e3000678
Übergeordnetes Werk:	volume:18 ; year:2020 ; number:4, p e3000678

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.1371/journal.pbio.3000678

Katalog-ID:	DOAJ004659783

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allfields_unstemmed	10.1371/journal.pbio.3000678 doi (DE-627)DOAJ004659783 (DE-599)DOAJ5dd45009725c4010961ce9e5ad0d2125 DE-627 ger DE-627 rakwb eng QH301-705.5 Konrad Wagstyl verfasserin aut BigBrain 3D atlas of cortical layers: Cortical and laminar thickness gradients diverge in sensory and motor cortices. 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Histological atlases of the cerebral cortex, such as those made famous by Brodmann and von Economo, are invaluable for understanding human brain microstructure and its relationship with functional organization in the brain. However, these existing atlases are limited to small numbers of manually annotated samples from a single cerebral hemisphere, measured from 2D histological sections. We present the first whole-brain quantitative 3D laminar atlas of the human cerebral cortex. It was derived from a 3D histological atlas of the human brain at 20-micrometer isotropic resolution (BigBrain), using a convolutional neural network to segment, automatically, the cortical layers in both hemispheres. Our approach overcomes many of the historical challenges with measurement of histological thickness in 2D, and the resultant laminar atlas provides an unprecedented level of precision and detail. We utilized this BigBrain cortical atlas to test whether previously reported thickness gradients, as measured by MRI in sensory and motor processing cortices, were present in a histological atlas of cortical thickness and which cortical layers were contributing to these gradients. Cortical thickness increased across sensory processing hierarchies, primarily driven by layers III, V, and VI. In contrast, motor-frontal cortices showed the opposite pattern, with decreases in total and pyramidal layer thickness from motor to frontal association cortices. These findings illustrate how this laminar atlas will provide a link between single-neuron morphology, mesoscale cortical layering, macroscopic cortical thickness, and, ultimately, functional neuroanatomy. Biology (General) Stéphanie Larocque verfasserin aut Guillem Cucurull verfasserin aut Claude Lepage verfasserin aut Joseph Paul Cohen verfasserin aut Sebastian Bludau verfasserin aut Nicola Palomero-Gallagher verfasserin aut Lindsay B Lewis verfasserin aut Thomas Funck verfasserin aut Hannah Spitzer verfasserin aut Timo Dickscheid verfasserin aut Paul C Fletcher verfasserin aut Adriana Romero verfasserin aut Karl Zilles verfasserin aut Katrin Amunts verfasserin aut Yoshua Bengio verfasserin aut Alan C Evans verfasserin aut In PLoS Biology Public Library of Science (PLoS), 2003 18(2020), 4, p e3000678 (DE-627)373755597 (DE-600)2126773-X 15457885 nnns volume:18 year:2020 number:4, p e3000678 https://doi.org/10.1371/journal.pbio.3000678 kostenfrei https://doaj.org/article/5dd45009725c4010961ce9e5ad0d2125 kostenfrei https://doi.org/10.1371/journal.pbio.3000678 kostenfrei https://doaj.org/toc/1544-9173 Journal toc kostenfrei https://doaj.org/toc/1545-7885 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_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 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_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2522 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 18 2020 4, p e3000678
allfieldsGer	10.1371/journal.pbio.3000678 doi (DE-627)DOAJ004659783 (DE-599)DOAJ5dd45009725c4010961ce9e5ad0d2125 DE-627 ger DE-627 rakwb eng QH301-705.5 Konrad Wagstyl verfasserin aut BigBrain 3D atlas of cortical layers: Cortical and laminar thickness gradients diverge in sensory and motor cortices. 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Histological atlases of the cerebral cortex, such as those made famous by Brodmann and von Economo, are invaluable for understanding human brain microstructure and its relationship with functional organization in the brain. However, these existing atlases are limited to small numbers of manually annotated samples from a single cerebral hemisphere, measured from 2D histological sections. We present the first whole-brain quantitative 3D laminar atlas of the human cerebral cortex. It was derived from a 3D histological atlas of the human brain at 20-micrometer isotropic resolution (BigBrain), using a convolutional neural network to segment, automatically, the cortical layers in both hemispheres. Our approach overcomes many of the historical challenges with measurement of histological thickness in 2D, and the resultant laminar atlas provides an unprecedented level of precision and detail. We utilized this BigBrain cortical atlas to test whether previously reported thickness gradients, as measured by MRI in sensory and motor processing cortices, were present in a histological atlas of cortical thickness and which cortical layers were contributing to these gradients. Cortical thickness increased across sensory processing hierarchies, primarily driven by layers III, V, and VI. In contrast, motor-frontal cortices showed the opposite pattern, with decreases in total and pyramidal layer thickness from motor to frontal association cortices. These findings illustrate how this laminar atlas will provide a link between single-neuron morphology, mesoscale cortical layering, macroscopic cortical thickness, and, ultimately, functional neuroanatomy. Biology (General) Stéphanie Larocque verfasserin aut Guillem Cucurull verfasserin aut Claude Lepage verfasserin aut Joseph Paul Cohen verfasserin aut Sebastian Bludau verfasserin aut Nicola Palomero-Gallagher verfasserin aut Lindsay B Lewis verfasserin aut Thomas Funck verfasserin aut Hannah Spitzer verfasserin aut Timo Dickscheid verfasserin aut Paul C Fletcher verfasserin aut Adriana Romero verfasserin aut Karl Zilles verfasserin aut Katrin Amunts verfasserin aut Yoshua Bengio verfasserin aut Alan C Evans verfasserin aut In PLoS Biology Public Library of Science (PLoS), 2003 18(2020), 4, p e3000678 (DE-627)373755597 (DE-600)2126773-X 15457885 nnns volume:18 year:2020 number:4, p e3000678 https://doi.org/10.1371/journal.pbio.3000678 kostenfrei https://doaj.org/article/5dd45009725c4010961ce9e5ad0d2125 kostenfrei https://doi.org/10.1371/journal.pbio.3000678 kostenfrei https://doaj.org/toc/1544-9173 Journal toc kostenfrei https://doaj.org/toc/1545-7885 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_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 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_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2522 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 18 2020 4, p e3000678
allfieldsSound	10.1371/journal.pbio.3000678 doi (DE-627)DOAJ004659783 (DE-599)DOAJ5dd45009725c4010961ce9e5ad0d2125 DE-627 ger DE-627 rakwb eng QH301-705.5 Konrad Wagstyl verfasserin aut BigBrain 3D atlas of cortical layers: Cortical and laminar thickness gradients diverge in sensory and motor cortices. 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Histological atlases of the cerebral cortex, such as those made famous by Brodmann and von Economo, are invaluable for understanding human brain microstructure and its relationship with functional organization in the brain. However, these existing atlases are limited to small numbers of manually annotated samples from a single cerebral hemisphere, measured from 2D histological sections. We present the first whole-brain quantitative 3D laminar atlas of the human cerebral cortex. It was derived from a 3D histological atlas of the human brain at 20-micrometer isotropic resolution (BigBrain), using a convolutional neural network to segment, automatically, the cortical layers in both hemispheres. Our approach overcomes many of the historical challenges with measurement of histological thickness in 2D, and the resultant laminar atlas provides an unprecedented level of precision and detail. We utilized this BigBrain cortical atlas to test whether previously reported thickness gradients, as measured by MRI in sensory and motor processing cortices, were present in a histological atlas of cortical thickness and which cortical layers were contributing to these gradients. Cortical thickness increased across sensory processing hierarchies, primarily driven by layers III, V, and VI. In contrast, motor-frontal cortices showed the opposite pattern, with decreases in total and pyramidal layer thickness from motor to frontal association cortices. These findings illustrate how this laminar atlas will provide a link between single-neuron morphology, mesoscale cortical layering, macroscopic cortical thickness, and, ultimately, functional neuroanatomy. Biology (General) Stéphanie Larocque verfasserin aut Guillem Cucurull verfasserin aut Claude Lepage verfasserin aut Joseph Paul Cohen verfasserin aut Sebastian Bludau verfasserin aut Nicola Palomero-Gallagher verfasserin aut Lindsay B Lewis verfasserin aut Thomas Funck verfasserin aut Hannah Spitzer verfasserin aut Timo Dickscheid verfasserin aut Paul C Fletcher verfasserin aut Adriana Romero verfasserin aut Karl Zilles verfasserin aut Katrin Amunts verfasserin aut Yoshua Bengio verfasserin aut Alan C Evans verfasserin aut In PLoS Biology Public Library of Science (PLoS), 2003 18(2020), 4, p e3000678 (DE-627)373755597 (DE-600)2126773-X 15457885 nnns volume:18 year:2020 number:4, p e3000678 https://doi.org/10.1371/journal.pbio.3000678 kostenfrei https://doaj.org/article/5dd45009725c4010961ce9e5ad0d2125 kostenfrei https://doi.org/10.1371/journal.pbio.3000678 kostenfrei https://doaj.org/toc/1544-9173 Journal toc kostenfrei https://doaj.org/toc/1545-7885 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_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 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_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2522 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 18 2020 4, p e3000678
language	English
source	In PLoS Biology 18(2020), 4, p e3000678 volume:18 year:2020 number:4, p e3000678
sourceStr	In PLoS Biology 18(2020), 4, p e3000678 volume:18 year:2020 number:4, p e3000678
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Biology (General)
isfreeaccess_bool	true
container_title	PLoS Biology
authorswithroles_txt_mv	Konrad Wagstyl @@aut@@ Stéphanie Larocque @@aut@@ Guillem Cucurull @@aut@@ Claude Lepage @@aut@@ Joseph Paul Cohen @@aut@@ Sebastian Bludau @@aut@@ Nicola Palomero-Gallagher @@aut@@ Lindsay B Lewis @@aut@@ Thomas Funck @@aut@@ Hannah Spitzer @@aut@@ Timo Dickscheid @@aut@@ Paul C Fletcher @@aut@@ Adriana Romero @@aut@@ Karl Zilles @@aut@@ Katrin Amunts @@aut@@ Yoshua Bengio @@aut@@ Alan C Evans @@aut@@
publishDateDaySort_date	2020-01-01T00:00:00Z
hierarchy_top_id	373755597
id	DOAJ004659783
language_de	englisch
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author	Konrad Wagstyl
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topic_title	QH301-705.5 BigBrain 3D atlas of cortical layers: Cortical and laminar thickness gradients diverge in sensory and motor cortices
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title	BigBrain 3D atlas of cortical layers: Cortical and laminar thickness gradients diverge in sensory and motor cortices.
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title_full	BigBrain 3D atlas of cortical layers: Cortical and laminar thickness gradients diverge in sensory and motor cortices
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title_sort	bigbrain 3d atlas of cortical layers: cortical and laminar thickness gradients diverge in sensory and motor cortices
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title_auth	BigBrain 3D atlas of cortical layers: Cortical and laminar thickness gradients diverge in sensory and motor cortices.
abstract	Histological atlases of the cerebral cortex, such as those made famous by Brodmann and von Economo, are invaluable for understanding human brain microstructure and its relationship with functional organization in the brain. However, these existing atlases are limited to small numbers of manually annotated samples from a single cerebral hemisphere, measured from 2D histological sections. We present the first whole-brain quantitative 3D laminar atlas of the human cerebral cortex. It was derived from a 3D histological atlas of the human brain at 20-micrometer isotropic resolution (BigBrain), using a convolutional neural network to segment, automatically, the cortical layers in both hemispheres. Our approach overcomes many of the historical challenges with measurement of histological thickness in 2D, and the resultant laminar atlas provides an unprecedented level of precision and detail. We utilized this BigBrain cortical atlas to test whether previously reported thickness gradients, as measured by MRI in sensory and motor processing cortices, were present in a histological atlas of cortical thickness and which cortical layers were contributing to these gradients. Cortical thickness increased across sensory processing hierarchies, primarily driven by layers III, V, and VI. In contrast, motor-frontal cortices showed the opposite pattern, with decreases in total and pyramidal layer thickness from motor to frontal association cortices. These findings illustrate how this laminar atlas will provide a link between single-neuron morphology, mesoscale cortical layering, macroscopic cortical thickness, and, ultimately, functional neuroanatomy.
abstractGer	Histological atlases of the cerebral cortex, such as those made famous by Brodmann and von Economo, are invaluable for understanding human brain microstructure and its relationship with functional organization in the brain. However, these existing atlases are limited to small numbers of manually annotated samples from a single cerebral hemisphere, measured from 2D histological sections. We present the first whole-brain quantitative 3D laminar atlas of the human cerebral cortex. It was derived from a 3D histological atlas of the human brain at 20-micrometer isotropic resolution (BigBrain), using a convolutional neural network to segment, automatically, the cortical layers in both hemispheres. Our approach overcomes many of the historical challenges with measurement of histological thickness in 2D, and the resultant laminar atlas provides an unprecedented level of precision and detail. We utilized this BigBrain cortical atlas to test whether previously reported thickness gradients, as measured by MRI in sensory and motor processing cortices, were present in a histological atlas of cortical thickness and which cortical layers were contributing to these gradients. Cortical thickness increased across sensory processing hierarchies, primarily driven by layers III, V, and VI. In contrast, motor-frontal cortices showed the opposite pattern, with decreases in total and pyramidal layer thickness from motor to frontal association cortices. These findings illustrate how this laminar atlas will provide a link between single-neuron morphology, mesoscale cortical layering, macroscopic cortical thickness, and, ultimately, functional neuroanatomy.
abstract_unstemmed	Histological atlases of the cerebral cortex, such as those made famous by Brodmann and von Economo, are invaluable for understanding human brain microstructure and its relationship with functional organization in the brain. However, these existing atlases are limited to small numbers of manually annotated samples from a single cerebral hemisphere, measured from 2D histological sections. We present the first whole-brain quantitative 3D laminar atlas of the human cerebral cortex. It was derived from a 3D histological atlas of the human brain at 20-micrometer isotropic resolution (BigBrain), using a convolutional neural network to segment, automatically, the cortical layers in both hemispheres. Our approach overcomes many of the historical challenges with measurement of histological thickness in 2D, and the resultant laminar atlas provides an unprecedented level of precision and detail. We utilized this BigBrain cortical atlas to test whether previously reported thickness gradients, as measured by MRI in sensory and motor processing cortices, were present in a histological atlas of cortical thickness and which cortical layers were contributing to these gradients. Cortical thickness increased across sensory processing hierarchies, primarily driven by layers III, V, and VI. In contrast, motor-frontal cortices showed the opposite pattern, with decreases in total and pyramidal layer thickness from motor to frontal association cortices. These findings illustrate how this laminar atlas will provide a link between single-neuron morphology, mesoscale cortical layering, macroscopic cortical thickness, and, ultimately, functional neuroanatomy.
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title_short	BigBrain 3D atlas of cortical layers: Cortical and laminar thickness gradients diverge in sensory and motor cortices.
url	https://doi.org/10.1371/journal.pbio.3000678 https://doaj.org/article/5dd45009725c4010961ce9e5ad0d2125 https://doaj.org/toc/1544-9173 https://doaj.org/toc/1545-7885
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author2Str	Stéphanie Larocque Guillem Cucurull Claude Lepage Joseph Paul Cohen Sebastian Bludau Nicola Palomero-Gallagher Lindsay B Lewis Thomas Funck Hannah Spitzer Timo Dickscheid Paul C Fletcher Adriana Romero Karl Zilles Katrin Amunts Yoshua Bengio Alan C Evans
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BigBrain 3D atlas of cortical layers: Cortical and laminar thickness gradients diverge in sensory and motor cortices.

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