Literature DB >> 24252169

White matter microstructure alterations of the medial forebrain bundle in melancholic depression.

Tobias Bracht1, Helge Horn2, Werner Strik2, Andrea Federspiel3, Susanne Schnell4, Oliver Höfle2, Katharina Stegmayer2, Roland Wiest5, Thomas Dierks3, Thomas J Müller2, Sebastian Walther2.   

Abstract

BACKGROUND: The medial forebrain bundle (MFB) is a key structure of the reward system and connects the ventral tegmental area (VTA) with the nucleus accumbens (NAcc), the medial and lateral orbitofrontal cortex (mOFC, lOFC) and the dorsolateral prefrontal cortex (dlPFC). Previous diffusion tensor imaging (DTI) studies in major depressive disorder point to white matter alterations of regions which may be incorporated in the MFB. Therefore, it was the aim of our study to probe white matter integrity of the MFB using a DTI-based probabilistic fibre tracking approach.
METHODS: 22 patients with major depressive disorder (MDD) (12 melancholic-MDD patients, 10 non-melancholic-MDD patients) and 21 healthy controls underwent DTI scans. We used a bilateral probabilistic fibre tracking approach to extract pathways between the VTA and NACC, mOFC, lOFC, dlPFC respectively. Mean fractional anisotropy (FA) values were used to compare structural connectivity between groups.
RESULTS: Mean-FA did not differ between healthy controls and all MDD patients. Compared to healthy controls melancholic MDD-patients had reduced mean-FA in right VTA-lOFC and VTA-dlPFC connections. Furthermore, melancholic-MDD patients had lower mean-FA than non-melancholic MDD-patients in the right VTA-lOFC connection. Mean-FA of these pathways correlated negatively with depression scale rating scores. LIMITATIONS: Due to the small sample size and heterogeneous age group comparisons between melancholic and non-melancholic MDD-patients should be regarded as preliminary.
CONCLUSIONS: Our results suggest that the melancholic subtype of MDD is characterized by white matter microstructure alterations of the MFB. White matter microstructure is associated with both depression severity and anhedonia.
© 2013 Published by Elsevier B.V.

Entities:  

Keywords:  Anhedonia; Diffusion tensor imaging; Mood disorder; Structural imaging

Mesh:

Year:  2013        PMID: 24252169     DOI: 10.1016/j.jad.2013.10.048

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  29 in total

1.  BDNF Val66Met polymorphism and stressful life events in melancholic childhood-onset depression.

Authors:  Timea Rimay; Istvan Benak; Eniko Kiss; Ildiko Baji; Agnes Feher; Anna Juhasz; John Strauss; James Kennedy; Cathy Barr; Maria Kovacs; Agnes Vetro; Krisztina Kapornai
Journal:  Psychiatr Genet       Date:  2015-12       Impact factor: 2.458

2.  Anticipatory reward deficits in melancholia.

Authors:  Huiting Liu; Casey Sarapas; Stewart A Shankman
Journal:  J Abnorm Psychol       Date:  2016-05-12

3.  White matter correlates of impaired attention control in major depressive disorder and healthy volunteers.

Authors:  Mina M Rizk; Harry Rubin-Falcone; John Keilp; Jeffrey M Miller; M Elizabeth Sublette; Ainsley Burke; Maria A Oquendo; Ahmed M Kamal; Mohamed A Abdelhameed; J John Mann
Journal:  J Affect Disord       Date:  2017-06-30       Impact factor: 4.839

Review 4.  Toward a Better Understanding of the Mechanisms and Pathophysiology of Anhedonia: Are We Ready for Translation?

Authors:  Diego A Pizzagalli
Journal:  Am J Psychiatry       Date:  2022-07       Impact factor: 19.242

Review 5.  Anhedonia in Depression and Schizophrenia: Brain Reward and Aversion Circuits.

Authors:  Sugai Liang; Yue Wu; Li Hanxiaoran; Andrew J Greenshaw; Tao Li
Journal:  Neuropsychiatr Dis Treat       Date:  2022-07-07       Impact factor: 2.989

6.  Depression is associated with dimensional and categorical effects on white matter pathways.

Authors:  Daniel G Dillon; Atilla Gonenc; Emily Belleau; Diego A Pizzagalli
Journal:  Depress Anxiety       Date:  2018-02-27       Impact factor: 6.505

7.  Deep brain stimulation of the brainstem.

Authors:  Gavin J B Elias; Aaron Loh; Dave Gwun; Aditya Pancholi; Alexandre Boutet; Clemens Neudorfer; Jürgen Germann; Andrew Namasivayam; Robert Gramer; Michelle Paff; Andres M Lozano
Journal:  Brain       Date:  2021-04-12       Impact factor: 13.501

Review 8.  The functional anatomy of psychomotor disturbances in major depressive disorder.

Authors:  Benny Liberg; Christoffer Rahm
Journal:  Front Psychiatry       Date:  2015-03-10       Impact factor: 4.157

9.  Altered white matter integrity in individuals with cognitive vulnerability to depression: a tract-based spatial statistics study.

Authors:  Jing Xiao; Yini He; Chad M McWhinnie; Shuqiao Yao
Journal:  Sci Rep       Date:  2015-05-18       Impact factor: 4.379

Review 10.  Machine learning in major depression: From classification to treatment outcome prediction.

Authors:  Shuang Gao; Vince D Calhoun; Jing Sui
Journal:  CNS Neurosci Ther       Date:  2018-08-23       Impact factor: 5.243

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