Skip to main content
Advertisement
  • Main menu
  • User menu
  • Search
  • English ▼
    • English
    • Afrikaans
    • Albanian
    • Amharic
    • Arabic
    • Armenian
    • Azerbaijani
    • Basque
    • Belarusian
    • Bengali
    • Bosnian
    • Bulgarian
    • Catalan
    • Cebuano
    • Chichewa
    • Chinese (Simplified)
    • Chinese (Traditional)
    • Corsican
    • Croatian
    • Czech
    • Danish
    • Dutch
    • Esperanto
    • Estonian
    • Filipino
    • Finnish
    • French
    • Frisian
    • Galician
    • Georgian
    • German
    • Greek
    • Gujarati
    • Haitian Creole
    • Hausa
    • Hawaiian
    • Hebrew
    • Hindi
    • Hmong
    • Hungarian
    • Icelandic
    • Igbo
    • Indonesian
    • Irish
    • Italian
    • Japanese
    • Javanese
    • Kannada
    • Kazakh
    • Khmer
    • Korean
    • Kurdish (Kurmanji)
    • Kyrgyz
    • Lao
    • Latin
    • Latvian
    • Lithuanian
    • Luxembourgish
    • Macedonian
    • Malagasy
    • Malay
    • Malayalam
    • Maltese
    • Maori
    • Marathi
    • Mongolian
    • Myanmar (Burmese)
    • Nepali
    • Norwegian
    • Pashto
    • Persian
    • Polish
    • Portuguese
    • Punjabi
    • Romanian
    • Russian
    • Samoan
    • Scottish Gaelic
    • Serbian
    • Sesotho
    • Shona
    • Sindhi
    • Sinhala
    • Slovak
    • Slovenian
    • Somali
    • Spanish
    • Sudanese
    • Swahili
    • Swedish
    • Tajik
    • Tamil
    • Telugu
    • Thai
    • Turkish
    • Ukrainian
    • Urdu
    • Uzbek
    • Vietnamese
    • Welsh
    • Xhosa
    • Yiddish
    • Yoruba
    • Zulu

Main menu

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • Advancing NeuroMRI with High-Relaxivity Contrast Agents
    • AJNR Awards
    • Low-Field MRI
    • Alzheimer Disease
    • ASNR Foundation Special Collection
    • Photon-Counting CT
    • View All
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home

User menu

  • Alerts
  • Log in

Search

  • Advanced search
American Journal of Neuroradiology
American Journal of Neuroradiology

American Journal of Neuroradiology

ASHNR American Society of Functional Neuroradiology ASHNR American Society of Pediatric Neuroradiology ASSR
  • Alerts
  • Log in

Advanced Search

English ▼
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scottish Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sudanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu
  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • Advancing NeuroMRI with High-Relaxivity Contrast Agents
    • AJNR Awards
    • Low-Field MRI
    • Alzheimer Disease
    • ASNR Foundation Special Collection
    • Photon-Counting CT
    • View All
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home
  • Follow AJNR on Twitter
  • Visit AJNR on Facebook
  • Follow AJNR on Instagram
  • Join AJNR on LinkedIn
  • RSS Feeds

AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates


Improved Turnaround Times | Median time to first decision: 12 days

Research ArticlePediatric Neuroimaging

Tract-Based Analysis of Callosal, Projection, and Association Pathways in Pediatric Patients with Multiple Sclerosis: A Preliminary Study

M.S. Vishwas, T. Chitnis, R. Pienaar, B.C. Healy and P.E. Grant
American Journal of Neuroradiology January 2010, 31 (1) 121-128; DOI: https://doi.org/10.3174/ajnr.A1776
M.S. Vishwas
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
T. Chitnis
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
R. Pienaar
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
B.C. Healy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
P.E. Grant
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Fig 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig 1.

    Regions of interest (ROIs) of the corpus callosum (CC) and interhemispheric fibers. A, A single ROI is placed in the midline CC in the midsaggital plane for studying callosal fibers on the background of a b = 0 T2-weighted image.29 The ROI is red. B, Left lateral view of a 3D reconstruction of callosal fibers passing through the genu, body, and splenium of the CC in the background of a b = 0 T2-weighted image.

  • Fig 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig 2.

    ROIs for the projection fibers and long association fibers (LAF) placed on color fractional anisotropy (FA) images. A and B, A 2-ROI approach is used for the projection fibers. One ROI is placed in the posterior limb of the internal capsule (PLIC) and a second ROI is placed in the cerebral peduncle (CP) on the axial plane at the level of the midbrain to generate the projection fibers.29 C and D, A 2-ROI approach is used for LAF (superior longitudinal fasciculus [SLF], inferior fronto-occipital fasciculus [IFOF], and uncinate fasciculus [UF]). One ROI is placed in the coronal plane for the SLF, lateral to the corona radiata,36,42 and a second ROI, on the axial plane at the level of anterior margin of external capsule, where the IFOF and UF pass close to each other.30 All the regions of interest are white.

  • Fig 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig 3.

    Left lateral view of the 3D reconstruction of projection fibers and LAF on the background of a b = 0 T2-weighted image. A, Projection fibers. B, LAF (SLF, IFOF, and UF) pathway.

  • Fig 4.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig 4.

    Regions of interest in the NAWM are placed on b = 0 T2-weighted images. A, One ROI is placed in the genu of the CC and one, in the splenium of the CC; and bilateral ROIs are placed in the PLIC. B, Bilateral ROIs are placed in the CP at the level of the midbrain. C, Bilateral ROIs for the SLF are placed in the axial plane, one section above the body of the CC lateral to the corona radiata. D, Bilateral ROIs are placed at the level of the anterior margin of the external capsule for the IFOF and UF. All the ROIs are red.

  • Fig 5.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig 5.

    Callosal, projection, and association fibers passing through NAWM. A, Callosal fibers from the splenium of the CC passing through NAWM on the background of axial and sagittal planes of b = 0 T2-weighted images. A black arrow points to the T2 lesion on the axial plane, and the arrowhead points to the fibers from the splenium of the CC passing through NAWM. B, Projection fibers pass through NAWM in the background of the axial and sagittal planes of b = 0 T2-weighted images. Black arrows point to the T2 lesions, and the arrowhead points to the projection fibers passing through NAWM. C, The T2 lesion is encircled, and the arrows point to the association fibers passing through NAWM.

  • Fig 6.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig 6.

    Scatterplots of the correlation between all NAWM regions of interest (ROIs) and tract-based mean ADC values of pediatric patients with MS compared with the total number of T2 lesions in the brain. Circles and diamonds represent the mean values.

  • Fig 7.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig 7.

    Scatterplots of the correlation between all NAWM ROIs and tract-based mean FA values of pediatric patients with MS compared with the total number of T2 lesions in the brain. Circles and diamonds represent the mean values.

Tables

  • Figures
    • View popup
    Table 1:

    ROI and tract-based mean ADC and mean FA values of white matter pathways

    CCPLICCPLAF
    ROI mean ADC × 10−3 mm2/s
        Patients1.11 ± 0.130.73 ± 0.020.88 ± 0.100.84 ± 0.07
        Controls0.89 ± 0.030.70 ± 0.030.76 ± 0.050.76 ± 0.02
        P value0.0020a0.021a0.020a0.0059a
    ROI mean FA
        Patients0.53 ± 0.060.62 ± 0.020.65 ± 0.060.39 ± 0.04
        Controls0.63 ± 0.060.67 ± 0.030.69 ± 0.040.44 ± 0.02
        P value.0039a.0039a.13.037a
    Tract mean ADC × 10−3 mm2/s
        Patients0.97 ± 0.100.76 ± 0.040.81 ± 0.060.85 ± 0.06
        Controls0.86 ± 0.060.71 ± 0.030.73 ± 0.020.75 ± 0.02
         P value.037a.0059a.0020a.0020a
    Tract mean FA
        Patients0.55 ± 0.060.56 v 0.030.58 ± 0.040.42 ± 0.04
        Controls0.62 ± 0.030.59 ± 0.020.62 ± 0.030.48 ± 0.02
        P value.0098a.0098a.0039a.0098a
    • Note:—ROI indicates region of interest; CC, corpus callosum; PLIC, posterior limb of internal capsule; CP, cerebral peduncle; LAF, long association fibers; ADC, apparent diffusion coefficient; FA, fractional anisotropy.

    • a Statistically significant.

    • View popup
    Table 2:

    ROI and tract-based mean ADC and mean FA values of NAWM

    ControlsPatientsP Value
    Region 1: genu of CC
        ROI mean ADC0.77 ± 0.030.91 ± 0.14.002a
        ROI mean FA0.80 ± 0.090.73 ± 0.10.28
        Tract mean ADC0.78 ± 0.030.87 ± 0.10.041a
        Tract mean FA0.62 ± 0.040.57 ± 0.06.16
    Region 2: Splenium of CC
        ROI mean ADC0.74 ± 0.040.88 ± 0.11.0039a
        ROI mean FA0.86 ± 0.050.78 ± 0.05.0059a
        Tract mean ADC0.79 ± 0.050.85 ± 0.07.049a
        Tract mean FA0.72 ± 0.030.66 ± 0.04.002a
    Region 3: PLIC
        ROI mean ADC0.69 ± 0.030.72 ± 0.02.0098a
        ROI mean FA0.69 ± 0.050.66 ± 0.03.25
        Tract mean ADC0.71 ± 0.030.75 ± 0.04.0098a
        Tract mean FA0.61 ± 0.030.57 ± 0.03.0098a
    Region 4: CP
        ROI mean ADC0.71 ± 0.030.78 ± 0.05.037a
        ROI mean FA0.73 ± 0.050.69 ± 0.04.19
        Tract mean ADC0.72 ± 0.020.78 ± 0.04.0098a
        Tract mean FA0.63 ± 0.030.60 ± 0.03.016a
    Region 5: Anatomic region for SLF
        ROI mean ADC0.71 ± 0.030.74 ± 0.04.014a
        ROI mean FA0.60 ± 0.060.47 ± 0.07.0039a
        Tract mean ADC0.72 ± 0.030.79 ± 0.07.0039a
        Tract mean FA0.54 ± .040.45 ± 0.05.0098a
    Region 6: Anatomic region for IFOF and UF
        ROI mean ADC0.76 ± 0.030.82 ± 0.03.002a
        ROI mean FA0.53 ± 0.040.45 ± 0.07.018a
        Tract mean ADC0.78 ± 0.030.85 ± 0.05.002a
        Tract mean FA0.51 ± 0.030.44 ± 0.06.014a
    All NAWM
        ROI mean ADC0.73 ± 0.020.79 ± 0.04.0020a
        ROI mean FA0.68 ± 0.020.61 ± 0.04.0098a
        Tract mean ADC0.75 ± 0.030.81 ± 0.05.0098a
        Tract mean FA0.61 ± 0.030.55 ± 0.03.002a
    • Note:—SLF indicates superior longitudinal fascicle; IFOF, inferior fronto-occipital fascicle; UF, uncinate fascicle; NAWM, normal-appearing white matter; ADC, apparent diffusion co-efficient, ×10−3 mm2/s.

    • a Statistically significant.

PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 31 (1)
American Journal of Neuroradiology
Vol. 31, Issue 1
1 Jan 2010
  • Table of Contents
  • Index by author
Advertisement
Print
Download PDF
Email Article
Cite this article
0 Responses
Respond to this article
Share
Bookmark this article
Tract-Based Analysis of Callosal, Projection, and Association Pathways in Pediatric Patients with Multiple Sclerosis: A Preliminary Study
M.S. Vishwas, T. Chitnis, R. Pienaar, B.C. Healy, P.E. Grant
American Journal of Neuroradiology Jan 2010, 31 (1) 121-128; DOI: 10.3174/ajnr.A1776
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
Purchase

Jump to section

  • Article
    • Abstract
    • Materials and Methods
    • Results
    • Discussion
    • Conclusions
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • MRI in the evaluation of pediatric multiple sclerosis
  • The Arcuate Fasciculus and Language Development in a Cohort of Pediatric Patients with Malformations of Cortical Development
  • Early White Matter Changes in Childhood Multiple Sclerosis: A Diffusion Tensor Imaging Study
  • Diffusion Tensor Analysis of Pediatric Multiple Sclerosis and Clinically Isolated Syndromes
  • Crossref
  • Google Scholar

This article has not yet been cited by articles in journals that are participating in Crossref Cited-by Linking.

More in this TOC Section

  • Pediatric Glioma:Imaging Clusters,Molecular Traits
  • Clinical SVR of Fetal Brain MRI
  • FRACTURE MR in Congenital Vertebral Anomalies
Show more PEDIATRIC NEUROIMAGING

Similar Articles

Advertisement

Indexed Content

  • Current Issue
  • Accepted Manuscripts
  • Article Preview
  • Past Issues
  • Editorials
  • Editor's Choice
  • Fellows' Journal Club
  • Letters to the Editor
  • Video Articles

Cases

  • Case Collection
  • Archive - Case of the Week
  • Archive - Case of the Month
  • Archive - Classic Case

More from AJNR

  • Trainee Corner
  • Imaging Protocols
  • MRI Safety Corner
  • Book Reviews

Multimedia

  • AJNR Podcasts
  • AJNR Scantastics

Resources

  • Turnaround Time
  • Submit a Manuscript
  • Submit a Video Article
  • Submit an eLetter to the Editor/Response
  • Manuscript Submission Guidelines
  • Statistical Tips
  • Fast Publishing of Accepted Manuscripts
  • Graphical Abstract Preparation
  • Imaging Protocol Submission
  • Evidence-Based Medicine Level Guide
  • Publishing Checklists
  • Author Policies
  • Become a Reviewer/Academy of Reviewers
  • News and Updates

About Us

  • About AJNR
  • Editorial Board
  • Editorial Board Alumni
  • Alerts
  • Permissions
  • Not an AJNR Subscriber? Join Now
  • Advertise with Us
  • Librarian Resources
  • Feedback
  • Terms and Conditions
  • AJNR Editorial Board Alumni

American Society of Neuroradiology

  • Not an ASNR Member? Join Now

© 2025 by the American Society of Neuroradiology All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Print ISSN: 0195-6108 Online ISSN: 1936-959X

Powered by HighWire
Email this Article

Thank you for your interest in spreading the word on American Journal of Neuroradiology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Tract-Based Analysis of Callosal, Projection, and Association Pathways in Pediatric Patients with Multiple Sclerosis: A Preliminary Study
(Your Name) has sent you a message from American Journal of Neuroradiology
(Your Name) thought you would like to see the American Journal of Neuroradiology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Cite this article
M.S. Vishwas, T. Chitnis, R. Pienaar, B.C. Healy, P.E. Grant
Tract-Based Analysis of Callosal, Projection, and Association Pathways in Pediatric Patients with Multiple Sclerosis: A Preliminary Study
American Journal of Neuroradiology Jan 2010, 31 (1) 121-128; DOI: 10.3174/ajnr.A1776

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero

We use cookies on this site to enhance your user experience. By clicking any link on this page you are giving your consent for us to set cookies.