Neurite imaging reveals microstructural variations in human cerebral cortical gray matter

We present distinct patterns of neurite distribution in the human cerebral cortex using diffusion magnetic resonance imaging (MRI). We analyzed both high-resolution structural (T1w and T2w images) and diffusion MRI data in 505 subjects from the Human Connectome Project. Neurite distributions were ev...

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Published inNeuroImage (Orlando, Fla.) Vol. 182; pp. 488 - 499
Main Authors Fukutomi, Hikaru, Glasser, Matthew F., Zhang, Hui, Autio, Joonas A., Coalson, Timothy S., Okada, Tomohisa, Togashi, Kaori, Van Essen, David C., Hayashi, Takuya
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 15.11.2018
Elsevier Limited
Subjects
Adult
Aging
Bands of baillarger
Brain research
Cerebral cortex
Cortical mapping
Diffusion Magnetic Resonance Imaging - methods
Diffusion Tensor Imaging - methods
Gray Matter - anatomy & histology
Gray Matter - diagnostic imaging
Humans
Magnetic resonance imaging
Morphology
Myelin
Myelin Sheath
Myeloarchitecture
Neocortex - anatomy & histology
Neocortex - diagnostic imaging
Neurite density
Neurites
Neuroimaging
Neuroimaging - methods
Neurosciences
NMR
Nuclear magnetic resonance
Orientation behavior
Orientation dispersion
R&D
Research & development
Sensorimotor integration
Sensory integration
Somatosensory cortex
Substantia grisea
Temporal lobe
Visual cortex
Japan
Myeloarchitecture
Neurite density
Bands of baillarger
Orientation dispersion
Cortical mapping
Online AccessGet full text
ISSN1053-8119
1095-9572
1095-9572
DOI10.1016/j.neuroimage.2018.02.017

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Abstract We present distinct patterns of neurite distribution in the human cerebral cortex using diffusion magnetic resonance imaging (MRI). We analyzed both high-resolution structural (T1w and T2w images) and diffusion MRI data in 505 subjects from the Human Connectome Project. Neurite distributions were evaluated using the neurite orientation dispersion and density imaging (NODDI) model, optimized for gray matter, and mapped onto the cortical surface using a method weighted towards the cortical mid-thickness to reduce partial volume effects. The estimated neurite density was high in both somatosensory and motor areas, early visual and auditory areas, and middle temporal area (MT), showing a strikingly similar distribution to myelin maps estimated from the T1w/T2w ratio. The estimated neurite orientation dispersion was particularly high in early sensory areas, which are known for dense tangential fibers and are classified as granular cortex by classical anatomists. Spatial gradients of these cortical neurite properties revealed transitions that colocalize with some areal boundaries in a recent multi-modal parcellation of the human cerebral cortex, providing mutually supportive evidence. Our findings indicate that analyzing the cortical gray matter neurite morphology using diffusion MRI and NODDI provides valuable information regarding cortical microstructure that is related to but complementary to myeloarchitecture. •Neurite orientation dispersion and density imaging was applied to HCP diffusion MRI.•Cortical neurite density map showed strikingly similar distribution to myelin map.•Cortical neurite orientation dispersion was high in von Economo's granular cortex.
AbstractList We present distinct patterns of neurite distribution in the human cerebral cortex using diffusion magnetic resonance imaging (MRI). We analyzed both high-resolution structural (T1w and T2w images) and diffusion MRI data in 505 subjects from the Human Connectome Project. Neurite distributions were evaluated using the neurite orientation dispersion and density imaging (NODDI) model, optimized for gray matter, and mapped onto the cortical surface using a method weighted towards the cortical mid-thickness to reduce partial volume effects. The estimated neurite density was high in both somatosensory and motor areas, early visual and auditory areas, and middle temporal area (MT), showing a strikingly similar distribution to myelin maps estimated from the T1w/T2w ratio. The estimated neurite orientation dispersion was particularly high in early sensory areas, which are known for dense tangential fibers and are classified as granular cortex by classical anatomists. Spatial gradients of these cortical neurite properties revealed transitions that colocalize with some areal boundaries in a recent multi-modal parcellation of the human cerebral cortex, providing mutually supportive evidence. Our findings indicate that analyzing the cortical gray matter neurite morphology using diffusion MRI and NODDI provides valuable information regarding cortical microstructure that is related to but complementary to myeloarchitecture.We present distinct patterns of neurite distribution in the human cerebral cortex using diffusion magnetic resonance imaging (MRI). We analyzed both high-resolution structural (T1w and T2w images) and diffusion MRI data in 505 subjects from the Human Connectome Project. Neurite distributions were evaluated using the neurite orientation dispersion and density imaging (NODDI) model, optimized for gray matter, and mapped onto the cortical surface using a method weighted towards the cortical mid-thickness to reduce partial volume effects. The estimated neurite density was high in both somatosensory and motor areas, early visual and auditory areas, and middle temporal area (MT), showing a strikingly similar distribution to myelin maps estimated from the T1w/T2w ratio. The estimated neurite orientation dispersion was particularly high in early sensory areas, which are known for dense tangential fibers and are classified as granular cortex by classical anatomists. Spatial gradients of these cortical neurite properties revealed transitions that colocalize with some areal boundaries in a recent multi-modal parcellation of the human cerebral cortex, providing mutually supportive evidence. Our findings indicate that analyzing the cortical gray matter neurite morphology using diffusion MRI and NODDI provides valuable information regarding cortical microstructure that is related to but complementary to myeloarchitecture.
We present distinct patterns of neurite distribution in the human cerebral cortex using diffusion magnetic resonance imaging (MRI). We analyzed both high-resolution structural (T1w and T2w images) and diffusion MRI data in 505 subjects from the Human Connectome Project. Neurite distributions were evaluated using the neurite orientation dispersion and density imaging (NODDI) model, optimized for gray matter, and mapped onto the cortical surface using a method weighted towards the cortical mid-thickness to reduce partial volume effects. The estimated neurite density was high in both somatosensory and motor areas, early visual and auditory areas, and middle temporal area (MT), showing a strikingly similar distribution to myelin maps estimated from the T1w/T2w ratio. The estimated neurite orientation dispersion was particularly high in early sensory areas, which are known for dense tangential fibers and are classified as granular cortex by classical anatomists. Spatial gradients of these cortical neurite properties revealed transitions that colocalize with some areal boundaries in a recent multi-modal parcellation of the human cerebral cortex, providing mutually supportive evidence. Our findings indicate that analyzing the cortical gray matter neurite morphology using diffusion MRI and NODDI provides valuable information regarding cortical microstructure that is related to but complementary to myeloarchitecture. •Neurite orientation dispersion and density imaging was applied to HCP diffusion MRI.•Cortical neurite density map showed strikingly similar distribution to myelin map.•Cortical neurite orientation dispersion was high in von Economo's granular cortex.
We present distinct patterns of neurite distribution in the human cerebral cortex using diffusion magnetic resonance imaging (MRI). We analyzed both high-resolution structural (T1w and T2w images) and diffusion MRI data in 505 subjects from the Human Connectome Project. Neurite distributions were evaluated using the neurite orientation dispersion and density imaging (NODDI) model, optimized for gray matter, and mapped onto the cortical surface using a method weighted towards the cortical mid-thickness to reduce partial volume effects. The estimated neurite density was high in both somatosensory and motor areas, early visual and auditory areas, and middle temporal area (MT), showing a strikingly similar distribution to myelin maps estimated from the T1w/T2w ratio. The estimated neurite orientation dispersion was particularly high in early sensory areas, which are known for dense tangential fibers and are classified as granular cortex by classical anatomists. Spatial gradients of these cortical neurite properties revealed transitions that colocalize with some areal boundaries in a recent multi-modal parcellation of the human cerebral cortex, providing mutually supportive evidence. Our findings indicate that analyzing the cortical gray matter neurite morphology using diffusion MRI and NODDI provides valuable information regarding cortical microstructure that is related to but complementary to myeloarchitecture.
Author Zhang, Hui
Togashi, Kaori
Glasser, Matthew F.
Okada, Tomohisa
Hayashi, Takuya
Coalson, Timothy S.
Autio, Joonas A.
Fukutomi, Hikaru
Van Essen, David C.
AuthorAffiliation 1 RIKEN Center for Life Science Technologies, Kobe, Japan
4 St. Luke’s Hospital St. Louis, MO, USA
5 Centre for Medical Image Computing and Department of Computer Science, University College London, UK
2 Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto Japan
3 Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
6 RIKEN Compass to Healthy Life Research Complex Program, Kobe, Japan
AuthorAffiliation_xml – name: 1 RIKEN Center for Life Science Technologies, Kobe, Japan
– name: 6 RIKEN Compass to Healthy Life Research Complex Program, Kobe, Japan
– name: 3 Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
– name: 4 St. Luke’s Hospital St. Louis, MO, USA
– name: 2 Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto Japan
– name: 5 Centre for Medical Image Computing and Department of Computer Science, University College London, UK
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  surname: Fukutomi
  fullname: Fukutomi, Hikaru
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  surname: Glasser
  fullname: Glasser, Matthew F.
  organization: Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
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  surname: Zhang
  fullname: Zhang, Hui
  organization: Centre for Medical Image Computing and Department of Computer Science, University College London, UK
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  surname: Autio
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  fullname: Coalson, Timothy S.
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/29448073$$D View this record in MEDLINE/PubMed
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ContentType Journal Article
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Keywords Myeloarchitecture
Neurite density
Bands of baillarger
Orientation dispersion
Cortical mapping
Language English
License This is an open access article under the CC BY license.
Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.
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Snippet We present distinct patterns of neurite distribution in the human cerebral cortex using diffusion magnetic resonance imaging (MRI). We analyzed both...
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SubjectTerms Adult
Aging
Bands of baillarger
Brain research
Cerebral cortex
Cortical mapping
Diffusion Magnetic Resonance Imaging - methods
Diffusion Tensor Imaging - methods
Gray Matter - anatomy & histology
Gray Matter - diagnostic imaging
Humans
Magnetic resonance imaging
Morphology
Myelin
Myelin Sheath
Myeloarchitecture
Neocortex - anatomy & histology
Neocortex - diagnostic imaging
Neurite density
Neurites
Neuroimaging
Neuroimaging - methods
Neurosciences
NMR
Nuclear magnetic resonance
Orientation behavior
Orientation dispersion
R&D
Research & development
Sensorimotor integration
Sensory integration
Somatosensory cortex
Substantia grisea
Temporal lobe
Visual cortex
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Title Neurite imaging reveals microstructural variations in human cerebral cortical gray matter
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