A comprehensive examination of white matter tracts and connectometry in major depressive disorder

Doreen M. Olvet, Lauren Delaparte, Fang Cheng Yeh, Christine Delorenzo, Patrick J. McGrath, Myrna M. Weissman, Phillip Adams, Maurizio Fava, Thilo Deckersbach, Melvin G. McInnis, Thomas J. Carmody, Crystal M. Cooper, Benji T. Kurian, Hanzhang Lu, Marisa S. Toups, Madhukar H. Trivedi, Ramin V. Parsey

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

Background Major depressive disorder (MDD) is a debilitating disorder characterized by widespread brain abnormalities. The literature is mixed as to whether or not white matter abnormalities are associated with MDD. This study sought to examine fractional anisotropy (FA) in white matter tracts in individuals with MDD using diffusion tensor imaging (DTI). Methods 139 participants with MDD and 39 healthy controls (HC) in a multisite study were included. DTI scans were acquired in 64 directions and FA was determined in the brain using four methods: region of interest (ROI), tract-based spatial statistics (TBSS), and diffusion tractography. Diffusion connectometry was used to identify white matter pathways associated with MDD. Results There were no significant differences when comparing FA in MDD and HC groups using any method. In the MDD group, there was a significant relationship between depression severity and FA in the right medial orbitofrontal cortex, and between age of onset of MDD and FA in the right caudal anterior cingulate cortex using the ROI method. There was a significant relationship between age of onset and connectivity in the thalamocortical radiation, inferior longitudinal fasciculus, and cerebellar tracts using diffusion connectometry. Conclusions The lack of group differences in FA and connectometry analysis may result from the clinically heterogenous nature of MDD. However, the relationship between FA and depression severity may suggest a state biomarker of depression that should be investigated as a potential indicator of response. Age of onset may also be a significant clinical feature to pursue when studying white matter tracts.

Original languageEnglish (US)
Pages (from-to)56-65
Number of pages10
JournalDepression and Anxiety
Volume33
Issue number1
DOIs
StatePublished - Jan 1 2016

Fingerprint

Major Depressive Disorder
Anisotropy
Diffusion Tensor Imaging
Age of Onset
Depression
White Matter
Gyrus Cinguli
Brain
Prefrontal Cortex
Biomarkers
Radiation
Control Groups

Keywords

  • brain imaging/neuroimaging
  • connectometry, fractional anisotropy
  • depression
  • diffusion tensor imaging
  • mood disorders
  • multisite study
  • white matter tracts

ASJC Scopus subject areas

  • Psychiatry and Mental health
  • Clinical Psychology

Cite this

Olvet, D. M., Delaparte, L., Yeh, F. C., Delorenzo, C., McGrath, P. J., Weissman, M. M., ... Parsey, R. V. (2016). A comprehensive examination of white matter tracts and connectometry in major depressive disorder. Depression and Anxiety, 33(1), 56-65. https://doi.org/10.1002/da.22445

A comprehensive examination of white matter tracts and connectometry in major depressive disorder. / Olvet, Doreen M.; Delaparte, Lauren; Yeh, Fang Cheng; Delorenzo, Christine; McGrath, Patrick J.; Weissman, Myrna M.; Adams, Phillip; Fava, Maurizio; Deckersbach, Thilo; McInnis, Melvin G.; Carmody, Thomas J.; Cooper, Crystal M.; Kurian, Benji T.; Lu, Hanzhang; Toups, Marisa S.; Trivedi, Madhukar H.; Parsey, Ramin V.

In: Depression and Anxiety, Vol. 33, No. 1, 01.01.2016, p. 56-65.

Research output: Contribution to journalArticle

Olvet, DM, Delaparte, L, Yeh, FC, Delorenzo, C, McGrath, PJ, Weissman, MM, Adams, P, Fava, M, Deckersbach, T, McInnis, MG, Carmody, TJ, Cooper, CM, Kurian, BT, Lu, H, Toups, MS, Trivedi, MH & Parsey, RV 2016, 'A comprehensive examination of white matter tracts and connectometry in major depressive disorder', Depression and Anxiety, vol. 33, no. 1, pp. 56-65. https://doi.org/10.1002/da.22445
Olvet DM, Delaparte L, Yeh FC, Delorenzo C, McGrath PJ, Weissman MM et al. A comprehensive examination of white matter tracts and connectometry in major depressive disorder. Depression and Anxiety. 2016 Jan 1;33(1):56-65. https://doi.org/10.1002/da.22445
Olvet, Doreen M. ; Delaparte, Lauren ; Yeh, Fang Cheng ; Delorenzo, Christine ; McGrath, Patrick J. ; Weissman, Myrna M. ; Adams, Phillip ; Fava, Maurizio ; Deckersbach, Thilo ; McInnis, Melvin G. ; Carmody, Thomas J. ; Cooper, Crystal M. ; Kurian, Benji T. ; Lu, Hanzhang ; Toups, Marisa S. ; Trivedi, Madhukar H. ; Parsey, Ramin V. / A comprehensive examination of white matter tracts and connectometry in major depressive disorder. In: Depression and Anxiety. 2016 ; Vol. 33, No. 1. pp. 56-65.
@article{1efac8a6145547b09b4247b89f6d8f0c,
title = "A comprehensive examination of white matter tracts and connectometry in major depressive disorder",
abstract = "Background Major depressive disorder (MDD) is a debilitating disorder characterized by widespread brain abnormalities. The literature is mixed as to whether or not white matter abnormalities are associated with MDD. This study sought to examine fractional anisotropy (FA) in white matter tracts in individuals with MDD using diffusion tensor imaging (DTI). Methods 139 participants with MDD and 39 healthy controls (HC) in a multisite study were included. DTI scans were acquired in 64 directions and FA was determined in the brain using four methods: region of interest (ROI), tract-based spatial statistics (TBSS), and diffusion tractography. Diffusion connectometry was used to identify white matter pathways associated with MDD. Results There were no significant differences when comparing FA in MDD and HC groups using any method. In the MDD group, there was a significant relationship between depression severity and FA in the right medial orbitofrontal cortex, and between age of onset of MDD and FA in the right caudal anterior cingulate cortex using the ROI method. There was a significant relationship between age of onset and connectivity in the thalamocortical radiation, inferior longitudinal fasciculus, and cerebellar tracts using diffusion connectometry. Conclusions The lack of group differences in FA and connectometry analysis may result from the clinically heterogenous nature of MDD. However, the relationship between FA and depression severity may suggest a state biomarker of depression that should be investigated as a potential indicator of response. Age of onset may also be a significant clinical feature to pursue when studying white matter tracts.",
keywords = "brain imaging/neuroimaging, connectometry, fractional anisotropy, depression, diffusion tensor imaging, mood disorders, multisite study, white matter tracts",
author = "Olvet, {Doreen M.} and Lauren Delaparte and Yeh, {Fang Cheng} and Christine Delorenzo and McGrath, {Patrick J.} and Weissman, {Myrna M.} and Phillip Adams and Maurizio Fava and Thilo Deckersbach and McInnis, {Melvin G.} and Carmody, {Thomas J.} and Cooper, {Crystal M.} and Kurian, {Benji T.} and Hanzhang Lu and Toups, {Marisa S.} and Trivedi, {Madhukar H.} and Parsey, {Ramin V.}",
year = "2016",
month = "1",
day = "1",
doi = "10.1002/da.22445",
language = "English (US)",
volume = "33",
pages = "56--65",
journal = "Depression and Anxiety",
issn = "1091-4269",
publisher = "Wiley-Blackwell",
number = "1",

}

TY - JOUR

T1 - A comprehensive examination of white matter tracts and connectometry in major depressive disorder

AU - Olvet, Doreen M.

AU - Delaparte, Lauren

AU - Yeh, Fang Cheng

AU - Delorenzo, Christine

AU - McGrath, Patrick J.

AU - Weissman, Myrna M.

AU - Adams, Phillip

AU - Fava, Maurizio

AU - Deckersbach, Thilo

AU - McInnis, Melvin G.

AU - Carmody, Thomas J.

AU - Cooper, Crystal M.

AU - Kurian, Benji T.

AU - Lu, Hanzhang

AU - Toups, Marisa S.

AU - Trivedi, Madhukar H.

AU - Parsey, Ramin V.

PY - 2016/1/1

Y1 - 2016/1/1

N2 - Background Major depressive disorder (MDD) is a debilitating disorder characterized by widespread brain abnormalities. The literature is mixed as to whether or not white matter abnormalities are associated with MDD. This study sought to examine fractional anisotropy (FA) in white matter tracts in individuals with MDD using diffusion tensor imaging (DTI). Methods 139 participants with MDD and 39 healthy controls (HC) in a multisite study were included. DTI scans were acquired in 64 directions and FA was determined in the brain using four methods: region of interest (ROI), tract-based spatial statistics (TBSS), and diffusion tractography. Diffusion connectometry was used to identify white matter pathways associated with MDD. Results There were no significant differences when comparing FA in MDD and HC groups using any method. In the MDD group, there was a significant relationship between depression severity and FA in the right medial orbitofrontal cortex, and between age of onset of MDD and FA in the right caudal anterior cingulate cortex using the ROI method. There was a significant relationship between age of onset and connectivity in the thalamocortical radiation, inferior longitudinal fasciculus, and cerebellar tracts using diffusion connectometry. Conclusions The lack of group differences in FA and connectometry analysis may result from the clinically heterogenous nature of MDD. However, the relationship between FA and depression severity may suggest a state biomarker of depression that should be investigated as a potential indicator of response. Age of onset may also be a significant clinical feature to pursue when studying white matter tracts.

AB - Background Major depressive disorder (MDD) is a debilitating disorder characterized by widespread brain abnormalities. The literature is mixed as to whether or not white matter abnormalities are associated with MDD. This study sought to examine fractional anisotropy (FA) in white matter tracts in individuals with MDD using diffusion tensor imaging (DTI). Methods 139 participants with MDD and 39 healthy controls (HC) in a multisite study were included. DTI scans were acquired in 64 directions and FA was determined in the brain using four methods: region of interest (ROI), tract-based spatial statistics (TBSS), and diffusion tractography. Diffusion connectometry was used to identify white matter pathways associated with MDD. Results There were no significant differences when comparing FA in MDD and HC groups using any method. In the MDD group, there was a significant relationship between depression severity and FA in the right medial orbitofrontal cortex, and between age of onset of MDD and FA in the right caudal anterior cingulate cortex using the ROI method. There was a significant relationship between age of onset and connectivity in the thalamocortical radiation, inferior longitudinal fasciculus, and cerebellar tracts using diffusion connectometry. Conclusions The lack of group differences in FA and connectometry analysis may result from the clinically heterogenous nature of MDD. However, the relationship between FA and depression severity may suggest a state biomarker of depression that should be investigated as a potential indicator of response. Age of onset may also be a significant clinical feature to pursue when studying white matter tracts.

KW - brain imaging/neuroimaging

KW - connectometry, fractional anisotropy

KW - depression

KW - diffusion tensor imaging

KW - mood disorders

KW - multisite study

KW - white matter tracts

UR - http://www.scopus.com/inward/record.url?scp=84954075428&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84954075428&partnerID=8YFLogxK

U2 - 10.1002/da.22445

DO - 10.1002/da.22445

M3 - Article

VL - 33

SP - 56

EP - 65

JO - Depression and Anxiety

JF - Depression and Anxiety

SN - 1091-4269

IS - 1

ER -