Corpus Callosum Atrophy Correlates with Gray Matter Atrophy in Patients with Multiple Sclerosis. Issue 1 (9th May 2014)
- Record Type:
- Journal Article
- Title:
- Corpus Callosum Atrophy Correlates with Gray Matter Atrophy in Patients with Multiple Sclerosis. Issue 1 (9th May 2014)
- Main Title:
- Corpus Callosum Atrophy Correlates with Gray Matter Atrophy in Patients with Multiple Sclerosis
- Authors:
- Klawiter, Eric C.
Ceccarelli, Antonia
Arora, Ashish
Jackson, Jonathan
Bakshi, Sonya
Kim, Gloria
Miller, Jennifer
Tauhid, Shahamat
von Gizycki, Christian
Bakshi, Rohit
Neema, Mohit - Abstract:
- <abstract abstract-type="main"> <title>ABSTRACT</title> <sec id="jon12124-sec-0010" sec-type="section"> <title>OBJECTIVE</title> <p>Atrophy of the corpus callosum is a recognized characteristic of multiple sclerosis (MS). We describe a new reliable method for measuring corpus callosum atrophy and correlate this with global cerebral atrophy measures.</p> </sec> <sec id="jon12124-sec-0020" sec-type="section"> <title>METHODS</title> <p>Whole brain 3T MRI was performed in 38 relapsing‐remitting MS subjects and 21 healthy controls (HC). Brain global gray and white matter volumes were segmented with SPM8. The contour of the corpus callosum was outlined on the midline of 3‐D T1‐weighted images by a semiautomated edge‐detection technique to determine the corpus callosum area (CCA). Normalized CCA was correlated with other brain atrophy measures in MS subjects.</p> </sec> <sec id="jon12124-sec-0030" sec-type="section"> <title>RESULTS</title> <p>CCA was disproportionately lower in MS subjects vs. HC (20.1% mean decrease; <italic>P</italic> &lt; .001), with a large effect size (<italic>d</italic> = .62) when compared with global atrophy measures. In MS subjects, CCA correlated with brain parenchymal fraction (<italic>r</italic> = .55; <italic>P</italic> &lt; .001) and gray matter fraction (<italic>r</italic> = .45; <italic>P</italic> = .005) but not white matter fraction (<italic>r</italic> = .18; <italic>P</italic> = .29). An inverse correlation with FLAIR hyperintense lesion volume<abstract abstract-type="main"> <title>ABSTRACT</title> <sec id="jon12124-sec-0010" sec-type="section"> <title>OBJECTIVE</title> <p>Atrophy of the corpus callosum is a recognized characteristic of multiple sclerosis (MS). We describe a new reliable method for measuring corpus callosum atrophy and correlate this with global cerebral atrophy measures.</p> </sec> <sec id="jon12124-sec-0020" sec-type="section"> <title>METHODS</title> <p>Whole brain 3T MRI was performed in 38 relapsing‐remitting MS subjects and 21 healthy controls (HC). Brain global gray and white matter volumes were segmented with SPM8. The contour of the corpus callosum was outlined on the midline of 3‐D T1‐weighted images by a semiautomated edge‐detection technique to determine the corpus callosum area (CCA). Normalized CCA was correlated with other brain atrophy measures in MS subjects.</p> </sec> <sec id="jon12124-sec-0030" sec-type="section"> <title>RESULTS</title> <p>CCA was disproportionately lower in MS subjects vs. HC (20.1% mean decrease; <italic>P</italic> &lt; .001), with a large effect size (<italic>d</italic> = .62) when compared with global atrophy measures. In MS subjects, CCA correlated with brain parenchymal fraction (<italic>r</italic> = .55; <italic>P</italic> &lt; .001) and gray matter fraction (<italic>r</italic> = .45; <italic>P</italic> = .005) but not white matter fraction (<italic>r</italic> = .18; <italic>P</italic> = .29). An inverse correlation with FLAIR hyperintense lesion volume (<italic>r</italic> = −.40; <italic>P</italic> = .01) was detected for CCA.</p> </sec> <sec id="jon12124-sec-0040" sec-type="section"> <title>CONCLUSION</title> <p>Measurement of atrophy of the corpus callosum can have sensitivity as a useful imaging biomarker in patients with MS, even in patients with low disability levels. Both gray and white matter involvement in MS contribute to corpus callosum atrophy.</p> </sec> </abstract> … (more)
- Is Part Of:
- Journal of neuroimaging. Volume 25:Issue 1(2015)
- Journal:
- Journal of neuroimaging
- Issue:
- Volume 25:Issue 1(2015)
- Issue Display:
- Volume 25, Issue 1 (2015)
- Year:
- 2015
- Volume:
- 25
- Issue:
- 1
- Issue Sort Value:
- 2015-0025-0001-0000
- Page Start:
- 62
- Page End:
- 67
- Publication Date:
- 2014-05-09
- Subjects:
- Diagnostic imaging -- Periodicals
Nervous system -- Diseases -- Diagnosis -- Periodicals
Imagerie pour le diagnostic -- Périodiques
Système nerveux -- Maladies -- Diagnostic -- Périodiques
Imagerie médicale
Neuroimagerie
Neurologie
Système nerveux
Périodique électronique (Descripteur de forme)
Ressource Internet (Descripteur de forme)
616.804754 - Journal URLs:
- http://jon.sagepub.com/ ↗
http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1552-6569 ↗
http://www.ingentaconnect.com/content/bpl/jon ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/jon.12124 ↗
- Languages:
- English
- ISSNs:
- 1051-2284
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5021.548000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 4255.xml