دورية أكاديمية
Structural MRI-Based Measures of Accelerated Brain Aging do not Moderate the Acute Antidepressant Response in Late-Life Depression.
| العنوان: | Structural MRI-Based Measures of Accelerated Brain Aging do not Moderate the Acute Antidepressant Response in Late-Life Depression. |
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| المؤلفون: | Ahmed R; School of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN., Ryan C; School of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN., Christman S; School of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN., Elson D; School of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN., Bermudez C; School of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN., Landman BA; School of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN., Szymkowicz SM; School of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN., Boyd BD; School of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN., Kang H; School of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN., Taylor WD; School of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN. Electronic address: warren.d.taylor@vanderbilt.edu. |
| المصدر: | The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry [Am J Geriatr Psychiatry] 2022 Sep; Vol. 30 (9), pp. 1015-1025. Date of Electronic Publication: 2021 Nov 28. |
| نوع المنشور: | Journal Article; Randomized Controlled Trial; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier Country of Publication: England NLM ID: 9309609 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1545-7214 (Electronic) Linking ISSN: 10647481 NLM ISO Abbreviation: Am J Geriatr Psychiatry Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: Jan. 2013- : London : Elsevier Original Publication: Washington, DC : American Psychiatry Press |
| مواضيع طبية MeSH: | Bupropion* , Depression*/psychology, Aging/psychology ; Antidepressive Agents/therapeutic use ; Brain/diagnostic imaging ; Brain/pathology ; Humans ; Magnetic Resonance Imaging/methods |
| مستخلص: | Objective: Late-life depression (LLD) is characterized by accelerated biological aging. Accelerated brain aging, estimated from structural magnetic resonance imaging (sMRI) data by a machine learning algorithm, is associated with LLD diagnosis, poorer cognitive performance, and disability. We hypothesized that accelerated brain aging moderates the antidepressant response. Design and Interventions: Following MRI, participants entered an 8-week randomized, controlled trial of escitalopram. Nonremitting participants then entered an open-label 8-week trial of bupropion. Participants: Ninety-five individuals with LLD. Measurements: A machine learning algorithm estimated each participant's brain age from sMRI data. This was used to calculate the brain-age gap (BAG), or how estimated age differed from chronological age. Secondary sMRI measures of aging pathology included white matter hyperintensity (WMH) volumes and hippocampal volumes. Mixed models examined the relationship between sMRI measures and change in depression severity. Initial analyses tested for a moderating effect of MRI measures on change in depression severity with escitalopram. Subsequent analyses tested for the effect of MRI measures on change in depression severity over time across trials. Results: In the blinded initial phase, BAG was not significantly associated with a differential response to escitalopram over time. BAG was also not associated with a change in depression severity over time across both arms in the blinded phase or in the subsequent open-label bupropion phase. We similarly did not observe effects of WMH volume or hippocampal volume on change in depression severity over time. Conclusion: sMRI markers of accelerated brain aging were not associated with treatment response in this sequential antidepressant trial. (Published by Elsevier Inc.) |
| References: | J Psychiatr Res. 1975 Nov;12(3):189-98. (PMID: 1202204) J Clin Psychiatry. 1998;59 Suppl 20:22-33;quiz 34-57. (PMID: 9881538) Psychosom Med. 2016 Sep;78(7):776-87. (PMID: 27359174) Am J Geriatr Psychiatry. 2002 Jan-Feb;10(1):107-11. (PMID: 11790641) Biol Psychiatry. 2000 Aug 15;48(4):301-9. (PMID: 10960161) Magn Reson Imaging. 2019 Oct;62:70-77. (PMID: 31247249) Psychol Med. 2020 Jan;50(2):187-209. (PMID: 31858931) Am J Geriatr Psychiatry. 2014 Dec;22(12):1504-12. (PMID: 24378256) Am J Psychiatry. 2004 Nov;161(11):2081-90. (PMID: 15514410) Neuroimage. 2004;23 Suppl 1:S69-84. (PMID: 15501102) J Neurophysiol. 2006 Dec;96(6):2830-9. (PMID: 17110737) Neuroimage. 2012 Feb 15;59(4):3774-83. (PMID: 22119648) Arch Gen Psychiatry. 2010 Mar;67(3):277-85. (PMID: 20194828) Br J Psychiatry. 2013 May;202(5):329-35. (PMID: 23637108) Am J Psychiatry. 2017 Mar 1;174(3):237-245. (PMID: 27539488) Neurology. 2000 Aug 22;55(4):484-89. (PMID: 10953178) Dis Markers. 2013;35(1):23-31. (PMID: 24167346) Curr Opin Psychiatry. 2019 Sep;32(5):381-387. (PMID: 31145144) Br J Psychiatry. 1979 Apr;134:382-9. (PMID: 444788) Eur Neuropsychopharmacol. 2012 Jan;22(1):1-16. (PMID: 21723712) Mol Psychiatry. 2017 Mar;22(3):450-457. (PMID: 27090303) Biol Psychiatry Cogn Neurosci Neuroimaging. 2019 Feb;4(2):160-170. (PMID: 30392844) Transl Psychiatry. 2020 Sep 18;10(1):317. (PMID: 32948749) Mol Psychiatry. 2021 Jul;26(7):3646-3656. (PMID: 32632206) Am J Geriatr Psychiatry. 2007 Jul;15(7):553-63. (PMID: 17586780) Am J Geriatr Psychiatry. 2019 Dec;27(12):1316-1330. (PMID: 31477459) Neuroimage. 2006 Jul 1;31(3):968-80. (PMID: 16530430) Mol Psychiatry. 2013 Sep;18(9):963-74. (PMID: 23439482) Mol Neuropsychiatry. 2016 Jul;2(2):88-96. (PMID: 27429957) Am J Geriatr Psychiatry. 2013 Feb;21(2):184-95. (PMID: 23343492) Cereb Cortex. 2004 Jan;14(1):11-22. (PMID: 14654453) IEEE Trans Med Imaging. 2010 Jun;29(6):1310-20. (PMID: 20378467) J Affect Disord. 2010 Nov;126(3):395-401. (PMID: 20452031) Am J Geriatr Psychiatry. 2021 May;29(5):448-457. (PMID: 33032927) Aging Cell. 2017 Aug;16(4):624-633. (PMID: 28544158) Int J Geriatr Psychiatry. 2002 Jun;17(6):519-25. (PMID: 12112175) J Affect Disord. 2015 Jul 15;180:200-6. (PMID: 25913805) Am J Geriatr Psychiatry. 2011 Jan;19(1):4-12. (PMID: 20808107) World J Biol Psychiatry. 2018 Aug;19(5):360-367. (PMID: 27376473) Neuroimage. 2019 Oct 15;200:528-539. (PMID: 31201988) Neuron. 2002 Jan 31;33(3):341-55. (PMID: 11832223) Med Image Anal. 2014 Oct;18(7):1070-81. (PMID: 25033470) J Affect Disord. 2017 Jun;215:103-110. (PMID: 28324779) Psychiatry Res. 2005 May 30;139(1):1-7. (PMID: 15927454) J Gerontol A Biol Sci Med Sci. 2017 Mar 1;72(3):343-352. (PMID: 27994004) Neuropsychopharmacology. 2020 Jan;45(2):283-291. (PMID: 31610545) |
| معلومات مُعتمدة: | UL1 TR000445 United States TR NCATS NIH HHS; R01 MH102246 United States MH NIMH NIH HHS; S10 OD021771 United States OD NIH HHS; T32 GM007347 United States GM NIGMS NIH HHS; K24 MH110598 United States MH NIMH NIH HHS; UL1 TR002243 United States TR NCATS NIH HHS |
| فهرسة مساهمة: | Keywords: Depression; MRI; aging; antidepressant; clinical trial; machine learning; structural neuroimaging |
| المشرفين على المادة: | 0 (Antidepressive Agents) 01ZG3TPX31 (Bupropion) |
| تواريخ الأحداث: | Date Created: 20211224 Date Completed: 20220809 Latest Revision: 20230902 |
| رمز التحديث: | 20240628 |
| مُعرف محوري في PubMed: | PMC9142760 |
| DOI: | 10.1016/j.jagp.2021.11.011 |
| PMID: | 34949526 |
| قاعدة البيانات: | MEDLINE |
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Full Text Finder | تدمد: | 1545-7214 |
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| DOI: | 10.1016/j.jagp.2021.11.011 |