Literature DB >> 30602399

Functional connectivity predictors of acute depression treatment outcome.

David C Steffens1, Lihong Wang1,2,3, Godfrey D Pearlson3,4.   

Abstract

Few studies have examined functional connectivity (FC) patterns using functional magnetic resonance imaging (fMRI) to predict outcomes in late-life depression. We hypothesized that FC within and between frontal and limbic regions would be associated with 12-week depression outcome in older depressed adults. Seventy-one subjects with major depression were enrolled in the study. A study geriatric psychiatrist performed a clinical interview and completed a Montgomery-Åsberg Depression Rating Scale (MADRS). All study participants were free of medication at baseline and had a brain fMRI scan. Using a regions of interest (ROI) atlas (including 164 ROIs), we conducted ROI-to-ROI resting-state FC analyses for each participant. In terms of treatment participants were offered sertraline initially, although in this naturalistic study, other medications were also prescribed. Subjects were evaluated every 2 weeks up to 12 weeks by the study psychiatrist, who followed a flexible, clinically based medication dosing schedule. Multivariate regression analysis was used to examine correlation between change of MADRS score over 12 weeks and baseline FC between brain regions, controlling for age, gender, mean head motion, and baseline MADRS. We found greater FC between the left inferior frontal gyrus pars triangularis and the left frontal eye field and FC of these two regions with a number of brain regions related to reward, salience, and sensorimortor function were correlated with change in MADRS score over 12 weeks. Our results highlight the important role of between inner speech-reward, attention-salience, and attention-sensorimotor network synchronization in predicting acute treatment response in late-life depression.

Entities:  

Keywords:  connectivity; depression; elderly; functional magnetic resonance imaging; treatment

Mesh:

Substances:

Year:  2019        PMID: 30602399      PMCID: PMC6610806          DOI: 10.1017/S1041610218002260

Source DB:  PubMed          Journal:  Int Psychogeriatr        ISSN: 1041-6102            Impact factor:   3.878


  11 in total

1.  Methodology and preliminary results from the neurobiology of late-life depression study.

Authors:  David C Steffens; Kevin J Manning; Rong Wu; James J Grady; Richard H Fortinsky; Howard A Tennen
Journal:  Int Psychogeriatr       Date:  2015-09-01       Impact factor: 3.878

2.  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

3.  Functional connectivity in the cognitive control network and the default mode network in late-life depression.

Authors:  George S Alexopoulos; Matthew J Hoptman; Dora Kanellopoulos; Christopher F Murphy; Kelvin O Lim; Faith M Gunning
Journal:  J Affect Disord       Date:  2012-03-15       Impact factor: 4.839

4.  Development and evaluation of a multimodal marker of major depressive disorder.

Authors:  Jie Yang; Mengru Zhang; Hongshik Ahn; Qing Zhang; Tony B Jin; Ien Li; Matthew Nemesure; Nandita Joshi; Haoran Jiang; Jeffrey M Miller; Robert Todd Ogden; Eva Petkova; Matthew S Milak; Mary Elizabeth Sublette; Gregory M Sullivan; Madhukar H Trivedi; Myrna Weissman; Patrick J McGrath; Maurizio Fava; Benji T Kurian; Diego A Pizzagalli; Crystal M Cooper; Melvin McInnis; Maria A Oquendo; Joseph John Mann; Ramin V Parsey; Christine DeLorenzo
Journal:  Hum Brain Mapp       Date:  2018-08-16       Impact factor: 5.038

5.  Resting-state connectivity biomarkers define neurophysiological subtypes of depression.

Authors:  Andrew T Drysdale; Logan Grosenick; Jonathan Downar; Katharine Dunlop; Farrokh Mansouri; Yue Meng; Robert N Fetcho; Benjamin Zebley; Desmond J Oathes; Amit Etkin; Alan F Schatzberg; Keith Sudheimer; Jennifer Keller; Helen S Mayberg; Faith M Gunning; George S Alexopoulos; Michael D Fox; Alvaro Pascual-Leone; Henning U Voss; B J Casey; Marc J Dubin; Conor Liston
Journal:  Nat Med       Date:  2016-12-05       Impact factor: 53.440

6.  Presence of neuroticism and antidepressant remission rates in late-life depression: results from the Neurobiology of Late-Life Depression (NBOLD) study.

Authors:  David C Steffens; Rong Wu; James J Grady; Kevin J Manning
Journal:  Int Psychogeriatr       Date:  2017-12-04       Impact factor: 3.878

Review 7.  Depression in the elderly: brain correlates, neuropsychological findings, and role of vascular lesion load.

Authors:  Nicholas Q Vu; Howard J Aizenstein
Journal:  Curr Opin Neurol       Date:  2013-12       Impact factor: 5.710

8.  Multimodal brain connectivity analysis in unmedicated late-life depression.

Authors:  Reza Tadayonnejad; Shaolin Yang; Anand Kumar; Olusola Ajilore
Journal:  PLoS One       Date:  2014-04-24       Impact factor: 3.240

9.  Brain-derived neurotrophic factor promoter methylation and cortical thickness in recurrent major depressive disorder.

Authors:  Kyoung-Sae Na; Eunsoo Won; June Kang; Hun Soo Chang; Ho-Kyoung Yoon; Woo Suk Tae; Yong-Ku Kim; Min-Soo Lee; Sook-Haeng Joe; Hyun Kim; Byung-Joo Ham
Journal:  Sci Rep       Date:  2016-02-15       Impact factor: 4.379

10.  Influence of FKBP5 polymorphism and DNA methylation on structural changes of the brain in major depressive disorder.

Authors:  Kyu-Man Han; Eunsoo Won; Youngbo Sim; June Kang; Changsu Han; Yong-Ku Kim; Seung-Hyun Kim; Sook-Haeng Joe; Min-Soo Lee; Woo-Suk Tae; Byung-Joo Ham
Journal:  Sci Rep       Date:  2017-02-15       Impact factor: 4.379

View more
  4 in total

Review 1.  Recent advances in the use of imaging in psychiatry: functional magnetic resonance imaging of large-scale brain networks in late-life depression.

Authors:  Kevin Manning; Lihong Wang; David Steffens
Journal:  F1000Res       Date:  2019-08-06

Review 2.  Crosstalk between Depression and Dementia with Resting-State fMRI Studies and Its Relationship with Cognitive Functioning.

Authors:  Junhyung Kim; Yong-Ku Kim
Journal:  Biomedicines       Date:  2021-01-16

3.  Transcranial Magnetic Stimulation Indices of Cortical Excitability Enhance the Prediction of Response to Pharmacotherapy in Late-Life Depression.

Authors:  Jennifer I Lissemore; Benoit H Mulsant; Anthony J Bonner; Meryl A Butters; Robert Chen; Jonathan Downar; Jordan F Karp; Eric J Lenze; Tarek K Rajji; Charles F Reynolds; Reza Zomorrodi; Zafiris J Daskalakis; Daniel M Blumberger
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2021-07-23

Review 4.  Crosstalk between Existential Phenomenological Psychotherapy and Neurological Sciences in Mood and Anxiety Disorders.

Authors:  Lehel Balogh; Masaru Tanaka; Nóra Török; László Vécsei; Shigeru Taguchi
Journal:  Biomedicines       Date:  2021-03-27
  4 in total

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