Literature DB >> 20452031

MRI signal hyperintensities and treatment remission of geriatric depression.

Faith M Gunning-Dixon1, Michael Walton, Janice Cheng, Jessica Acuna, Sibel Klimstra, Molly E Zimmerman, Adam M Brickman, Matthew J Hoptman, Robert C Young, George S Alexopoulos.   

Abstract

BACKGROUND: White matter abnormalities may interfere with limbic-cortical balance and contribute to chronic depressive syndromes in the elderly. This study sought to clarify the relationship of SH to treatment response. We hypothesized that patients who failed to remit during a 12-week controlled treatment trial of escitalopram would exhibit greater SH burden than patients who remitted.
METHODS: The participants were 42 non-demented individuals with non-psychotic major depression and 25 elderly comparison subjects. After a 2-week single blind placebo period, subjects who still had a Hamilton Depression Rating Scale (HDRS) of 18 or greater received escitalopram 10mg daily for 12 weeks. Remission was defined as a HDRS score of 7 or below for 2 consecutive weeks. FLAIR sequences were acquired on a 1.5 T scanner and total SH were quantified using a semi-automated thresholding method.
RESULTS: The patient sample consisted of 22 depressed patients who achieved remission during the study and 20 depressed patients who remained symptomatic. ANCOVA, with age and gender as covariates, revealed that depressed subjects had greater total SH burden relative to non-depressed controls. Furthermore, patients who failed to remit following escitalopram treatment had significantly greater SH burden than both patients who remitted and elderly comparison subjects, whereas SH burden did not differ between depressed patients who remitted and elderly comparison subjects. LIMITATIONS: Patients were treated with a fixed dose of antidepressants and the index of SH is an overall measure that does not permit examination of the relationship of regional SH to treatment remission. DISCUSSION: SH may contribute to a "disconnection state" both conferring vulnerability to and perpetuating late-life depression.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20452031      PMCID: PMC2946967          DOI: 10.1016/j.jad.2010.04.004

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  56 in total

1.  Neuropsychological functioning and MRI signal hyperintensities in geriatric depression.

Authors:  E Kramer-Ginsberg; B S Greenwald; K R Krishnan; B Christiansen; J Hu; M Ashtari; M Patel; S Pollack
Journal:  Am J Psychiatry       Date:  1999-03       Impact factor: 18.112

2.  Effect of sertraline on regional metabolic rate in patients with affective disorder.

Authors:  M S Buchsbaum; J Wu; B V Siegel; E Hackett; M Trenary; L Abel; C Reynolds
Journal:  Biol Psychiatry       Date:  1997-01-01       Impact factor: 13.382

3.  Cerebral glucose metabolic response to combined total sleep deprivation and antidepressant treatment in geriatric depression.

Authors:  G S Smith; C F Reynolds; B Pollock; S Derbyshire; E Nofzinger; M A Dew; P R Houck; D Milko; C C Meltzer; D J Kupfer
Journal:  Am J Psychiatry       Date:  1999-05       Impact factor: 18.112

4.  Reciprocal limbic-cortical function and negative mood: converging PET findings in depression and normal sadness.

Authors:  H S Mayberg; M Liotti; S K Brannan; S McGinnis; R K Mahurin; P A Jerabek; J A Silva; J L Tekell; C C Martin; J L Lancaster; P T Fox
Journal:  Am J Psychiatry       Date:  1999-05       Impact factor: 18.112

5.  Neuroanatomic localization of magnetic resonance imaging signal hyperintensities in geriatric depression.

Authors:  B S Greenwald; E Kramer-Ginsberg; K R Krishnan; M Ashtari; C Auerbach; M Patel
Journal:  Stroke       Date:  1998-03       Impact factor: 7.914

6.  Cerebrovascular disease and depression symptoms in the cardiovascular health study.

Authors:  D C Steffens; M J Helms; K R Krishnan; G L Burke
Journal:  Stroke       Date:  1999-10       Impact factor: 7.914

7.  Is subcortical disease associated with a poor response to antidepressants? Neurological, neuropsychological and neuroradiological findings in late-life depression.

Authors:  S Simpson; R C Baldwin; A Jackson; A S Burns
Journal:  Psychol Med       Date:  1998-09       Impact factor: 7.723

8.  Cognition and white matter hyperintensities in older depressed patients.

Authors:  I M Lesser; K B Boone; C M Mehringer; M A Wohl; B L Miller; N G Berman
Journal:  Am J Psychiatry       Date:  1996-10       Impact factor: 18.112

9.  Subcortical hyperintensities on magnetic resonance imaging: clinical correlates and prognostic significance in patients with severe depression.

Authors:  I Hickie; E Scott; P Mitchell; K Wilhelm; M P Austin; B Bennett
Journal:  Biol Psychiatry       Date:  1995-02-01       Impact factor: 13.382

10.  A magnetic resonance imaging study of white matter lesions in depression and Alzheimer's disease.

Authors:  J O'Brien; P Desmond; D Ames; I Schweitzer; S Harrigan; B Tress
Journal:  Br J Psychiatry       Date:  1996-04       Impact factor: 9.319

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  30 in total

Review 1.  The emotion paradox in the aging brain.

Authors:  Mara Mather
Journal:  Ann N Y Acad Sci       Date:  2012-03-12       Impact factor: 5.691

2.  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

3.  Quantitative approaches for assessment of white matter hyperintensities in elderly populations.

Authors:  Adam M Brickman; Joel R Sneed; Frank A Provenzano; Ernst Garcon; Lauren Johnert; Jordan Muraskin; Lok-Kin Yeung; Molly E Zimmerman; Steven P Roose
Journal:  Psychiatry Res       Date:  2011-06-16       Impact factor: 3.222

4.  White matter abnormalities predict residual negative self-referential thinking following treatment of late-life depression with escitalopram: A preliminary study.

Authors:  Lindsay W Victoria; George S Alexopoulos; Irena Ilieva; Aliza T Stein; Matthew J Hoptman; Naib Chowdhury; Matteo Respino; Sarah Shizuko Morimoto; Dora Kanellopoulos; Jimmy N Avari; Faith M Gunning
Journal:  J Affect Disord       Date:  2018-09-11       Impact factor: 4.839

5.  Organic bases of late-life depression: a critical update.

Authors:  Kurt A Jellinger
Journal:  J Neural Transm (Vienna)       Date:  2013-01-25       Impact factor: 3.575

Review 6.  The vascular depression hypothesis: mechanisms linking vascular disease with depression.

Authors:  W D Taylor; H J Aizenstein; G S Alexopoulos
Journal:  Mol Psychiatry       Date:  2013-02-26       Impact factor: 15.992

Review 7.  Neurobiological risk factors for suicide: insights from brain imaging.

Authors:  Elizabeth T Cox Lippard; Jennifer A Y Johnston; Hilary P Blumberg
Journal:  Am J Prev Med       Date:  2014-09       Impact factor: 5.043

8.  Semantic organizational strategy predicts verbal memory and remission rate of geriatric depression.

Authors:  Sarah Shizuko Morimoto; Faith M Gunning; Dora Kanellopoulos; Christopher F Murphy; Sibel A Klimstra; Robert E Kelly; George S Alexopoulos
Journal:  Int J Geriatr Psychiatry       Date:  2011-05-25       Impact factor: 3.485

9.  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
Journal:  Int J Geriatr Psychiatry       Date:  2015-02-17       Impact factor: 3.485

Review 10.  Amyloid Hypothesis: Is There a Role for Antiamyloid Treatment in Late-Life Depression?

Authors:  Nahla Mahgoub; George S Alexopoulos
Journal:  Am J Geriatr Psychiatry       Date:  2016-01-14       Impact factor: 4.105

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