liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Applying a free-water correction to diffusion imaging data uncovers stress-related neural pathology in depression
Laureate Institute Brain Research, OK, USA.
Harvard University, MA, USA.
Laureate Institute Brain Research, OK, USA.
Harvard University, MA, USA; VA Boston Healthcare Syst, MA USA.
Show others and affiliations
2016 (English)In: NeuroImage: Clinical, ISSN 0353-8842, E-ISSN 2213-1582, Vol. 10, 336-342 p.Article in journal (Refereed) Published
Resource type
Text
Abstract [en]

Diffusion tensor imaging (DTI) holds promise for developing our understanding of white-matter pathology in major depressive disorder (MDD). Variable findings in DTI-based investigations ofMDD, however, have thwarted development of this literature. Effects of extra-cellular free-water on the sensitivity of DTI metrics could account for some of this inconsistency. Here we investigated whether applying a free-water correction algorithm to DTI data could improve the sensitivity to detect clinical effects using DTI metrics. Only after applying this correction, we found: a) significantly decreased fractional anisotropy and axial diffusivity (AD) in the left inferior frontooccipital fasciculus (IFOF) in MDD; and b) increased self-reported stress that significantly correlated with decreased IFOF AD in depression. We estimated and confirmed the robustness of differences observed between free-water corrected and uncorrected approaches using bootstrapping. We conclude that applying a free-water correction to DTI data increases the sensitivity of DTI-based metrics to detect clinical effects in MDD. (C) 2015 The Authors. Published by Elsevier Inc.

Place, publisher, year, edition, pages
Elsevier, 2016. Vol. 10, 336-342 p.
Keyword [en]
Diffusion tensor imaging; Free-water corrected DTI; Major depressive disorder; Tract-based spatial statistics; Fractional anisotropy; Axial diffusivity
National Category
Clinical Medicine
Identifiers
URN: urn:nbn:se:liu:diva-127461DOI: 10.1016/j.nicl.2015.11.020ISI: 000373189000033PubMedID: 27006903OAI: oai:DiVA.org:liu-127461DiVA: diva2:925201
Note

Funding Agencies|Warren Foundation

Available from: 2016-04-30 Created: 2016-04-26 Last updated: 2017-11-30Bibliographically approved

Open Access in DiVA

fulltext(729 kB)57 downloads
File information
File name FULLTEXT01.pdfFile size 729 kBChecksum SHA-512
cd64b8057fb2fbd771fa270888e8ccfb15a1db43164c884f6bc75cfc887945472bf455ef9e0c788f2900c7b432e8141aed9104077e0a2352bbb3871dee893f74
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMed

Authority records BETA

Hamilton, Paul

Search in DiVA

By author/editor
Hamilton, Paul
By organisation
Division of Neuro and Inflammation ScienceFaculty of Medicine and Health SciencesCenter for Social and Affective Neuroscience (CSAN)
In the same journal
NeuroImage: Clinical
Clinical Medicine

Search outside of DiVA

GoogleGoogle Scholar
Total: 57 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 188 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf