Literature DB >> 19345999

Impaired implicit learning and reduced pre-supplementary motor cortex size in early-onset major depression with melancholic features.

Cornelia Exner1, Claudia Lange, Eva Irle.   

Abstract

BACKGROUND: Major depression is a heterogeneous disorder. Biological markers and cognitive tasks have been employed to distinguish clinical subtypes but results have been inconclusive.
METHODS: The current study assessed implicit learning with the Serial Reaction Time Task (SRTT) known to be sensitive to frontostriatal dysfunctions and regional brain volumes of the anterior supplementary motor area (pre-SMA) in participants with early-onset major depression (MD) of either melancholic (n=26) or non-melancholic (n=9) subtype, and 26 matched controls.
RESULTS: Depressive subjects with melancholic features but not those with non-melancholic depression showed implicit learning deficits. This deficit could not be explained in terms of more severe depression or psychomotor retardation. Regional volumes of the right pre-SMA were reduced in depressive subjects with melancholic features. LIMITATIONS: Medication effects in depressive subjects and the small size of the non-melancholic sample should be taken into consideration when reviewing the implications of these results.
CONCLUSIONS: Deficits in implicit motor sequence learning seem to be an additional characteristic of the melancholic subtype of depression. It might be linked to dysfunction within structural or functionally altered frontostriatal circuits. Use of implicit sequence learning tasks could offer useful diagnostic and aetiological cues for future research.

Entities:  

Mesh:

Year:  2009        PMID: 19345999     DOI: 10.1016/j.jad.2009.03.015

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


  22 in total

Review 1.  Major depressive disorder is associated with broad impairments on neuropsychological measures of executive function: a meta-analysis and review.

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2.  Intrinsic Functional Network Connectivity Is Associated With Clinical Symptoms and Cognition in Late-Life Depression.

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3.  Organic bases of late-life depression: a critical update.

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4.  Implicit and explicit learning of socio-emotional information in a dynamic interaction with a virtual avatar.

Authors:  Andrei R Costea; Răzvan Jurchiș; Laura Visu-Petra; Axel Cleeremans; Elisbeth Norman; Adrian Opre
Journal:  Psychol Res       Date:  2022-08-29

5.  A specific pattern of gray matter atrophy in Alzheimer's disease with depression.

Authors:  Efstratios Karavasilis; Theodore P Parthimos; John D Papatriantafyllou; Sokratis G Papageorgiou; George Kapsas; Andrew C Papanicolaou; Ioannis Seimenis
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6.  Cerebrospinal fluid space alterations in melancholic depression.

Authors:  Esther Via; Narcís Cardoner; Jesús Pujol; Ignacio Martínez-Zalacaín; Rosa Hernández-Ribas; Mikel Urretavizacaya; Marina López-Solà; Joan Deus; José Manuel Menchón; Carles Soriano-Mas
Journal:  PLoS One       Date:  2012-06-28       Impact factor: 3.240

Review 7.  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

8.  Cortico-cortical white matter motor pathway microstructure is related to psychomotor retardation in major depressive disorder.

Authors:  Tobias Bracht; Andrea Federspiel; Susanne Schnell; Helge Horn; Oliver Höfle; Roland Wiest; Thomas Dierks; Werner Strik; Thomas J Müller; Sebastian Walther
Journal:  PLoS One       Date:  2012-12-20       Impact factor: 3.240

9.  Brain imaging predictors and the international study to predict optimized treatment for depression: study protocol for a randomized controlled trial.

Authors:  Stuart M Grieve; Mayuresh S Korgaonkar; Amit Etkin; Anthony Harris; Stephen H Koslow; Stephen Wisniewski; Alan F Schatzberg; Charles B Nemeroff; Evian Gordon; Leanne M Williams
Journal:  Trials       Date:  2013-07-18       Impact factor: 2.279

10.  Alterations in regional homogeneity of spontaneous brain activity in late-life subthreshold depression.

Authors:  Zhenling Ma; Rui Li; Jing Yu; Yong He; Juan Li
Journal:  PLoS One       Date:  2013-01-02       Impact factor: 3.240

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