Literature DB >> 24144505

Resting state functional connectivity and treatment response in late-life depression.

Carmen Andreescu1, Dana L Tudorascu, Meryl A Butters, Erica Tamburo, Meenal Patel, Julie Price, Jordan F Karp, Charles F Reynolds, Howard Aizenstein.   

Abstract

Indices of functional connectivity in the default mode network (DMN) are promising neural markers of treatment response in late-life depression. We examined the differences in DMN functional connectivity between treatment-responsive and treatment-resistant depressed older adults. Forty-seven depressed older adults underwent MRI scanning pre- and post-pharmacotherapy. Forty-six never depressed older adults underwent MR scanning as comparison subjects. Treatment response was defined as achieving a Hamilton Depression Rating Scale of 10 or less post-treatment. We analyzed resting state functional connectivity using the posterior cingulate cortex as the seed region-of-interest. The resulting correlation maps were employed to investigate between-group differences. Additionally we examined the association between white matter hyperintensity burden and functional connectivity results. Comparison of pre- and post-treatment scans of depressed participants revealed greater post-treatment functional connectivity in the frontal precentral gyrus. Relative to treatment-responsive participants, treatment-resistant participants had increased functional connectivity in the left striatum. When adjusting for white matter hyperintensity burden, the observed differences lost significance for the PCC-prefrontal functional connectivity, but not for the PCC-striatum functional connectivity. The post-treatment "frontalization" of the DMN connectivity suggests a normalizing effect of antidepressant treatment. Moreover, our study confirms the central role of white matter lesions in disrupting brain functional connectivity.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Default Mode Network; Late-life depression; MRI; Treatment response; White matter hyperintensity

Mesh:

Substances:

Year:  2013        PMID: 24144505      PMCID: PMC3865521          DOI: 10.1016/j.pscychresns.2013.08.007

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  56 in total

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Review 3.  Frontocingulate dysfunction in depression: toward biomarkers of treatment response.

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4.  Resting-state functional connectivity reflects structural connectivity in the default mode network.

Authors:  Michael D Greicius; Kaustubh Supekar; Vinod Menon; Robert F Dougherty
Journal:  Cereb Cortex       Date:  2008-04-09       Impact factor: 5.357

5.  Default-mode network connectivity and white matter burden in late-life depression.

Authors:  Minjie Wu; Carmen Andreescu; Meryl A Butters; Robert Tamburo; Charles F Reynolds; Howard Aizenstein
Journal:  Psychiatry Res       Date:  2011-08-06       Impact factor: 3.222

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7.  fMRI correlates of white matter hyperintensities in late-life depression.

Authors:  Howard J Aizenstein; Carmen Andreescu; Kathryn L Edelman; Jennifer L Cochran; Julie Price; Meryl A Butters; Jordan Karp; Meenal Patel; Charles F Reynolds
Journal:  Am J Psychiatry       Date:  2011-07-28       Impact factor: 18.112

8.  The default mode network and self-referential processes in depression.

Authors:  Yvette I Sheline; Deanna M Barch; Joseph L Price; Melissa M Rundle; S Neil Vaishnavi; Abraham Z Snyder; Mark A Mintun; Suzhi Wang; Rebecca S Coalson; Marcus E Raichle
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10.  Magnetic resonance imaging in late-life depression: multimodal examination of network disruption.

Authors:  Claire E Sexton; Charlotte L Allan; Marisa Le Masurier; Lisa M McDermott; Ukwuori G Kalu; Lucie L Herrmann; Matthias Mäurer; Kevin M Bradley; Clare E Mackay; Klaus P Ebmeier
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  49 in total

1.  Brain structural connectivity in late-life major depressive disorder.

Authors:  Stephen F Smagula; Howard J Aizenstein
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2.  Intrinsic Functional Network Connectivity Is Associated With Clinical Symptoms and Cognition in Late-Life Depression.

Authors:  Jason A Gandelman; Kimberly Albert; Brian D Boyd; Jung Woo Park; Meghan Riddle; Neil D Woodward; Hakmook Kang; Bennett A Landman; Warren D Taylor
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2018-09-21

3.  Magnetic resonance imaging predictors of treatment response in late-life depression.

Authors:  Howard J Aizenstein; Alexander Khalaf; Sarah E Walker; Carmen Andreescu
Journal:  J Geriatr Psychiatry Neurol       Date:  2013-12-30       Impact factor: 2.680

4.  Cingulum bundle white matter lesions influence antidepressant response in late-life depression: a pilot study.

Authors:  Warren D Taylor; Kamil Kudra; Zheen Zhao; David C Steffens; James R MacFall
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Review 5.  Pharmacogenetics and Imaging-Pharmacogenetics of Antidepressant Response: Towards Translational Strategies.

Authors:  Tristram A Lett; Henrik Walter; Eva J Brandl
Journal:  CNS Drugs       Date:  2016-12       Impact factor: 5.749

6.  Increased ventromedial prefrontal cortex activity and connectivity predict poor sertraline treatment outcome in late-life depression.

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

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8.  Machine learning approaches for integrating clinical and imaging features in late-life depression classification and response prediction.

Authors:  Meenal J Patel; Carmen Andreescu; Julie C Price; Kathryn L Edelman; Charles F Reynolds; Howard J Aizenstein
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9.  Altered resting-state functional connectivity in late-life depression: A cross-sectional study.

Authors:  Harris A Eyre; Hongyu Yang; Amber M Leaver; Kathleen Van Dyk; Prabha Siddarth; Natalie St Cyr; Katherine Narr; Linda Ercoli; Bernhard T Baune; Helen Lavretsky
Journal:  J Affect Disord       Date:  2015-09-28       Impact factor: 4.839

Review 10.  Disruption of Neural Homeostasis as a Model of Relapse and Recurrence in Late-Life Depression.

Authors:  Carmen Andreescu; Olusola Ajilore; Howard J Aizenstein; Kimberly Albert; Meryl A Butters; Bennett A Landman; Helmet T Karim; Robert Krafty; Warren D Taylor
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