Literature DB >> 32880057

Prefrontal resting-state connectivity and antidepressant response: no associations in the ELECT-TDCS trial.

Daniel Keeser1,2,3, Lucia Bulubas1,4, Frank Padberg1, Eva Mezger1, Paulo Suen5, Priscila V Bueno5, Fabio Duran6, Geraldo Busatto6, Edson Amaro7, Isabela M Benseñor8, Paulo A Lotufo8, Stephan Goerigk1,9,10, Wagner Gattaz5, Andre R Brunoni11,12,13.   

Abstract

Functional and structural MRI of prefrontal cortex (PFC) may provide putative biomarkers for predicting the treatment response to transcranial direct current stimulation (tDCS) in depression. A recent MRI study from ELECT-TDCS (Escitalopram versus Electrical Direct-Current Theror Depression Study) showed that depression improvement after tDCS was associated with gray matter volumes of PFC subregions. Based thereon, we investigated whether antidepressant effects of tDCS are similarly associated with baseline resting-state functional connectivity (rsFC). A subgroup of 51 patients underwent baseline rsFC-MRI. All patients of ELECT-TDCS were randomized to three treatment arms for 10 weeks (anodal-left, cathodal-right PFC tDCS plus placebo medication; escitalopram 10 mg/day for 3 weeks and 20 mg/day thereafter plus sham tDCS; and placebo medication plus sham tDCS). RsFC was calculated for various PFC regions and analyzed in relation to the individual antidepressant response. There was no significant association between baseline PFC connectivity of essential structural regions, nor any other PFC regions (after correction for multiple comparisons) and patients' individual antidepressant response. This study did not reveal an association between antidepressants effects of tDCS and baseline rsFC, unlike the gray matter volume findings. Thus, the antidepressant effects of tDCS may be differentially related to structural and functional MRI measurements.

Entities:  

Keywords:  Antidepressant response; Major depressive disorder (MDD); Non-invasive transcranial brain stimulation (NTBS); Prefrontal cortex; Resting state functional connectivity (rsFC-MRI); Transcranial direct current stimulation (tDCS)

Mesh:

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Year:  2020        PMID: 32880057     DOI: 10.1007/s00406-020-01187-y

Source DB:  PubMed          Journal:  Eur Arch Psychiatry Clin Neurosci        ISSN: 0940-1334            Impact factor:   5.270


  51 in total

1.  A default mode of brain function.

Authors:  M E Raichle; A M MacLeod; A Z Snyder; W J Powers; D A Gusnard; G L Shulman
Journal:  Proc Natl Acad Sci U S A       Date:  2001-01-16       Impact factor: 11.205

2.  Functional connectivity in the resting brain: a network analysis of the default mode hypothesis.

Authors:  Michael D Greicius; Ben Krasnow; Allan L Reiss; Vinod Menon
Journal:  Proc Natl Acad Sci U S A       Date:  2002-12-27       Impact factor: 11.205

Review 3.  Identifying predictors, moderators, and mediators of antidepressant response in major depressive disorder: neuroimaging approaches.

Authors:  Mary L Phillips; Henry W Chase; Yvette I Sheline; Amit Etkin; Jorge R C Almeida; Thilo Deckersbach; Madhukar H Trivedi
Journal:  Am J Psychiatry       Date:  2015-02-01       Impact factor: 18.112

Review 4.  The brain's default mode network.

Authors:  Marcus E Raichle
Journal:  Annu Rev Neurosci       Date:  2015-05-04       Impact factor: 12.449

Review 5.  Localized connectivity in depression: a meta-analysis of resting state functional imaging studies.

Authors:  Sarina J Iwabuchi; Rajeev Krishnadas; Chunbo Li; Dorothee P Auer; Joaquim Radua; Lena Palaniyappan
Journal:  Neurosci Biobehav Rev       Date:  2015-01-16       Impact factor: 8.989

6.  Large-Scale Network Dysfunction in Major Depressive Disorder: A Meta-analysis of Resting-State Functional Connectivity.

Authors:  Roselinde H Kaiser; Jessica R Andrews-Hanna; Tor D Wager; Diego A Pizzagalli
Journal:  JAMA Psychiatry       Date:  2015-06       Impact factor: 21.596

7.  Predictive neural biomarkers of clinical response in depression: a meta-analysis of functional and structural neuroimaging studies of pharmacological and psychological therapies.

Authors:  Cynthia H Y Fu; Herbert Steiner; Sergi G Costafreda
Journal:  Neurobiol Dis       Date:  2012-06-01       Impact factor: 5.996

Review 8.  Neuroimaging biomarkers as predictors of treatment outcome in Major Depressive Disorder.

Authors:  Trehani M Fonseka; Glenda M MacQueen; Sidney H Kennedy
Journal:  J Affect Disord       Date:  2017-10-31       Impact factor: 4.839

Review 9.  Imaging-Based Subtyping for Psychiatric Syndromes.

Authors:  Elena I Ivleva; Halide B Turkozer; John A Sweeney
Journal:  Neuroimaging Clin N Am       Date:  2019-11-11       Impact factor: 2.264

Review 10.  Intrinsic Brain Network Biomarkers of Antidepressant Response: a Review.

Authors:  Katharine Dunlop; Aleksandr Talishinsky; Conor Liston
Journal:  Curr Psychiatry Rep       Date:  2019-08-13       Impact factor: 5.285

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  1 in total

1.  Vortioxetine Modulates the Regional Signal in First-Episode Drug-Free Major Depressive Disorder at Rest.

Authors:  Shihong Xiong; Wei Li; Yang Zhou; Hongwei Ren; Guorong Lin; Sheng Zhang; Xi Xiang
Journal:  Front Psychiatry       Date:  2022-06-29       Impact factor: 5.435

  1 in total

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