Literature DB >> 21824753

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

Minjie Wu1, Carmen Andreescu, Meryl A Butters, Robert Tamburo, Charles F Reynolds, Howard Aizenstein.   

Abstract

The brain's default-mode network has been the focus of intense research. This study characterizes the default-mode network activity in late-life depression and the correlation of the default-mode network activity changes with the white-matter hyperintensities burden. We hypothesized that elderly depressed subjects would have altered default-mode network activity, which would correlate with the increased white-matter hyperintensities burden. Twelve depressed subjects (mean Hamilton Depression Rating Scale 19.8±4.1, mean age 70.5±4.9) and 12 non-depressed, comparison subjects (mean age 69±6.5) were included. Functional magnetic resonance imaging (fMRI) data were collected while subjects performed a low cognitive load, event-related task. We compared the default-mode network activity in these groups (including depressed subjects pre- and post-antidepressant treatment). We analyzed the resting connectivity patterns of the posterior cingulate cortex. Deconvolution was used to evaluate the correlation of resting-state connectivity scores with the white-matter hyperintensities burden. Compared with non-depressed elderly, depressed subjects pretreatment had decreased connectivity in the subgenual anterior cingulate cortex and increased connectivity in the dorsomedial prefrontal cortex and the orbito-frontal cortex. The abnormal connectivity was significantly correlated with the white-matter hyperintensities burden. Remitted elderly depressed subjects had improved functional connectivity compared to pretreatment, although alterations persisted in the anterior cingulate and the prefrontal cortex when remitted elderly depressed subjects were compared with non-depressed elderly. Our study provides evidence for altered default-mode network connectivity in late-life depression. The correlation between white-matter hyperintensities burden and default-mode network connectivity emphasizes the role of vascular changes in late-life depression etiopathogenesis.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID: 21824753      PMCID: PMC3189685          DOI: 10.1016/j.pscychresns.2011.04.003

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


  37 in total

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2.  A method for using blocked and event-related fMRI data to study "resting state" functional connectivity.

Authors:  Damien A Fair; Bradley L Schlaggar; Alexander L Cohen; Francis M Miezin; Nico U F Dosenbach; Kristin K Wenger; Michael D Fox; Abraham Z Snyder; Marcus E Raichle; Steven E Petersen
Journal:  Neuroimage       Date:  2007-01-18       Impact factor: 6.556

3.  Functional connectivity in single and multislice echoplanar imaging using resting-state fluctuations.

Authors:  M J Lowe; B J Mock; J A Sorenson
Journal:  Neuroimage       Date:  1998-02       Impact factor: 6.556

4.  Resting-state functional connectivity in major depression: abnormally increased contributions from subgenual cingulate cortex and thalamus.

Authors:  Michael D Greicius; Benjamin H Flores; Vinod Menon; Gary H Glover; Hugh B Solvason; Heather Kenna; Allan L Reiss; Alan F Schatzberg
Journal:  Biol Psychiatry       Date:  2007-01-08       Impact factor: 13.382

5.  Altered default mode network activity in patient with anxiety disorders: an fMRI study.

Authors:  Xiao-Hu Zhao; Pei-Jun Wang; Chun-Bo Li; Zheng-Hui Hu; Qian Xi; Wen-Yuan Wu; Xiao-Wei Tang
Journal:  Eur J Radiol       Date:  2007-04-02       Impact factor: 3.528

6.  Regional metabolic effects of fluoxetine in major depression: serial changes and relationship to clinical response.

Authors:  H S Mayberg; S K Brannan; J L Tekell; J A Silva; R K Mahurin; S McGinnis; P A Jerabek
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7.  Qualitative magnetic resonance imaging findings in geriatric depression. Possible link between later-onset depression and Alzheimer's disease?

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8.  The functional neuroanatomy of geriatric depression.

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Review 10.  Depression and Bipolar Support Alliance consensus statement on the unmet needs in diagnosis and treatment of mood disorders in late life.

Authors:  Dennis S Charney; Charles F Reynolds; Lydia Lewis; Barry D Lebowitz; Trey Sunderland; George S Alexopoulos; Dan G Blazer; Ira R Katz; Barnett S Meyers; Patricia A Arean; Soo Borson; Charlotte Brown; Martha L Bruce; Christopher M Callahan; Mary E Charlson; Yeates Conwell; Bruce N Cuthbert; D P Devanand; Mary Jo Gibson; Gary L Gottlieb; K Ranga Krishnan; Sally K Laden; Constantine G Lyketsos; Benoit H Mulsant; George Niederehe; Jason T Olin; David W Oslin; Jane Pearson; Trudy Persky; Bruce G Pollock; Susan Raetzman; Mildred Reynolds; Carl Salzman; Richard Schulz; Thomas L Schwenk; Edward Scolnick; Jurgen Unutzer; Myrna M Weissman; Robert C Young
Journal:  Arch Gen Psychiatry       Date:  2003-07
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  63 in total

Review 1.  MRI studies in late-life mood disorders.

Authors:  Carmen Andreescu; Howard Aizenstein
Journal:  Curr Top Behav Neurosci       Date:  2012

2.  Amygdala network dysfunction in late-life depression phenotypes: Relationships with symptom dimensions.

Authors:  Wenjun Li; B Douglas Ward; Chunming Xie; Jennifer L Jones; Piero G Antuono; Shi-Jiang Li; Joseph S Goveas
Journal:  J Psychiatr Res       Date:  2015-09-09       Impact factor: 4.791

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

Authors:  Stephen F Smagula; Howard J Aizenstein
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2016-05

4.  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

Review 5.  The default mode network and recurrent depression: a neurobiological model of cognitive risk factors.

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Journal:  Neuropsychol Rev       Date:  2012-05-09       Impact factor: 7.444

6.  Graph theory analysis of cortical-subcortical networks in late-life depression.

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Journal:  Am J Geriatr Psychiatry       Date:  2013-07-03       Impact factor: 4.105

7.  Changes in dorsolateral prefrontal connectivity after rTMS in treatment-resistant depression: a brain perfusion SPECT study.

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Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-02-03       Impact factor: 9.236

8.  Intrinsic inter-network brain dysfunction correlates with symptom dimensions in late-life depression.

Authors:  Wenjun Li; Yang Wang; B Douglas Ward; Piero G Antuono; Shi-Jiang Li; Joseph S Goveas
Journal:  J Psychiatr Res       Date:  2016-12-12       Impact factor: 4.791

9.  Brain Structural Markers and Caregiving Characteristics as Interacting Correlates of Caregiving Strain.

Authors:  Stephen F Smagula; Scott Beach; Andrea L Rosso; Anne B Newman; Richard Schulz
Journal:  Am J Geriatr Psychiatry       Date:  2017-02-21       Impact factor: 4.105

10.  Functional connectivity predictors of acute depression treatment outcome.

Authors:  David C Steffens; Lihong Wang; Godfrey D Pearlson
Journal:  Int Psychogeriatr       Date:  2019-01-03       Impact factor: 3.878

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