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  Brain structural correlates of insomnia severity in 1053 individuals with major depressive disorder: results from the ENIGMA MDD Working Group

Leerssen, J., Blanken, T., Pozzi, E., Jahanshad, N., Aftanas, L., Andreassen, O., et al. (2020). Brain structural correlates of insomnia severity in 1053 individuals with major depressive disorder: results from the ENIGMA MDD Working Group. Translational Psychiatry, 10(1): 425, pp. 1-11. doi:10.1038/s41398-020-01109-5.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0007-8E1F-8 Version Permalink: http://hdl.handle.net/21.11116/0000-0007-8E29-C
Genre: Journal Article

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Leerssen , J, Author
Blanken, TF, Author
Pozzi, E, Author
Jahanshad , N, Author
Aftanas, L, Author
Andreassen, OA, Author
Baune, BT, Author
Brack, I, Author
Carballedo, A, Author
Ching, CRK, Author
Dannlowski, U, Author
Dohm, K, Author
Enneking, V, Author
Filimonova, E, Author
Fingas, SM, Author
Frodl, T, Author
Godlewska, BR, Author
Goltermann, J, Author
Gotlib, IH, Author
Grotegerd, D, Author
Gruber, O, AuthorHarris, MA, AuthorHatton, SN, AuthorHawkins, E, AuthorHickie, IB, AuthorJaworska, N, AuthorKircher, T, AuthorKrug, A, AuthorLagopoulos, J, AuthorLemke, H, AuthorLi, M1, 2, Author              MacMaster , FP, AuthorMcIntosh, AM, AuthorMcLellan , Q, AuthorMeinert, S, AuthorMwangi, B, AuthorNenadić, I, AuthorOsipov, E, AuthorPortella, MJ, AuthorRedlich, R, AuthorRepple, j, AuthorSacchet, MD, AuthorSämann, PG, AuthorSimulionyte, E, AuthorSoares, JC, AuthorWalter, M, Author              Watanabe, N, AuthorWhalley, HC, AuthorYüksel, D, AuthorVeltman, DJ, AuthorThompson, PM, AuthorSchmaal, L, AuthorVan Someren, EJW, Author more..
Affiliations:
1Research Group Systems Neuroscience & Neuroengineering, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3168483              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: It has been difficult to find robust brain structural correlates of the overall severity of major depressive disorder (MDD). We hypothesized that specific symptoms may better reveal correlates and investigated this for the severity of insomnia, both a key symptom and a modifiable major risk factor of MDD. Cortical thickness, surface area and subcortical volumes were assessed from T1-weighted brain magnetic resonance imaging (MRI) scans of 1053 MDD patients (age range 13-79 years) from 15 cohorts within the ENIGMA MDD Working Group. Insomnia severity was measured by summing the insomnia items of the Hamilton Depression Rating Scale (HDRS). Symptom specificity was evaluated with correlates of overall depression severity. Disease specificity was evaluated in two independent samples comprising 2108 healthy controls, and in 260 clinical controls with bipolar disorder. Results showed that MDD patients with more severe insomnia had a smaller cortical surface area, mostly driven by the right insula, left inferior frontal gyrus pars triangularis, left frontal pole, right superior parietal cortex, right medial orbitofrontal cortex, and right supramarginal gyrus. Associations were specific for insomnia severity, and were not found for overall depression severity. Associations were also specific to MDD; healthy controls and clinical controls showed differential insomnia severity association profiles. The findings indicate that MDD patients with more severe insomnia show smaller surfaces in several frontoparietal cortical areas. While explained variance remains small, symptom-specific associations could bring us closer to clues on underlying biological phenomena of MDD.

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 Dates: 2020-12
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1038/s41398-020-01109-5
 Degree: -

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Title: Translational Psychiatry
  Abbreviation : Transl Psychiatry
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Nature Pub. Group
Pages: - Volume / Issue: 10 (1) Sequence Number: 425 Start / End Page: 1 - 11 Identifier: ISSN: 2158-3188
CoNE: https://pure.mpg.de/cone/journals/resource/2158-3188