Skip to content
2000
  1. Home
  2. A-Z Publications
  3. Current Medical Imaging
  4. Fast Track Articles
  5. Fast Track Article
image of Magnetic Resonance Imaging Study on Older Patients with Cognitive Impairment and Depression
file format pdf download PDF

Abstract

Background:

Understanding brain changes in older patients with depression and their relationship with cognitive abilities may aid in the diagnosis of depression in this population. This study aimed to explore the association between brain lesions and cognitive performance in older patients with depression.

Methods:

We utilized magnetic resonance imaging data from a previous study, which included older adults with and without depression. Smoothed Regional Homogeneity (ReHo) and local brain Amplitude of Low-frequency Fluctuation (ALFF) values were assessed to examine brain activity.

Results:

The analysis revealed decreased ReHo in the left middle temporal gyrus, left middle frontal gyrus, and left precuneus, as well as increased local ALFF in the right middle occipital gyrus, left postcentral gyrus, and right precentral gyrus in older patients with depression. These alterations may contribute to behavioral and cognitive changes. However, no significant relationship was found between ReHo values and Montreal Cognitive Assessment (MoCA) scores. In contrast, increased local ALFF in the left postcentral gyrus and right precentral gyrus was negatively correlated with MoCA scores.

Conclusion:

This study demonstrated a significant association between regional brain alterations in patients with depression and cognitive behavior. Thus, this work identified functional brain regions and cognitive performance in older adults with depression, highlighting specific brain regions that play a crucial role in cognitive abilities in this population.

© 2024 The Author(s). Published by Bentham Science.
This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Loading

Article metrics loading...

/content/journals/cmir/10.2174/0115734056281104241220113235
2025-01-02
2025-01-18

  • From This Site

    /content/journals/cmir/10.2174/0115734056281104241220113235
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

/deliver/fulltext/cmir/10.2174/0115734056281104241220113235/e15734056281104.html?itemId=/content/journals/cmir/10.2174/0115734056281104241220113235&mimeType=html&fmt=ahah

References

  1. Warraich H.J. Kitzman D.W. Whellan D.J. Duncan P.W. Mentz R.J. Pastva A.M. Nelson M.B. Upadhya B. Reeves G.R. Physical function, frailty, cognition, depression, and quality of life in hospitalized adults ≥60 years with acute decompensated heart failure with preserved versus reduced ejection fraction. Circ. Heart Fail. 2018 11 11 e005254 10.1161/CIRCHEARTFAILURE.118.005254 30571197
    [Google Scholar]
  2. Glass O.M. Hermida A.P. Hershenberg R. Schwartz A.C. Considerations and current trends in the management of the geriatric patient on a consultation–liaison service. Curr. Psychiatry Rep. 2020 22 5 21 10.1007/s11920‑020‑01147‑2 32285305
    [Google Scholar]
  3. Macfarlane A. Teixeira A. Taylor K. Martins C. Guimar B. General practice and the community: Research on health service, quality improvements and training. Selected abstracts from the EGPRN Meeting in Vigo, Spain, 17–20 October 2019. Eur. J. Gen. Pract. 2020 26 1 42 50 10.1080/13814788.2020.1719994 33337921
    [Google Scholar]
  4. Depressive disorder (depression). 2023 Available from: https://www.who.int/news-room/fact-sheets/detail/depression
  5. Ageing and health. 2024 Available from: https://www.who.int/news-room/fact-sheets/detail/ageing-and-health
  6. Galloway L. Investigating the link between depression and restless legs syndrome: A controlled comparison of mood and motor restlessness in restless legs syndrome, with primary insomnia and good sleeper controls. PhD dissertation, University of Glasgow (United Kingdom) 2008
    [Google Scholar]
  7. Xu C. Wongpakaran N. Wongpakaran T. Siriwittayakorn T. Wedding D. Varnado P. Syntactic errors in older adults with depression. Medicina 2023 59 12 2133 10.3390/medicina59122133 38138236
    [Google Scholar]
  8. Park M. Reynolds C.F. III Depression among older adults with diabetes mellitus. Clin. Geriatr. Med. 2015 31 1 117 137, ix 10.1016/j.cger.2014.08.022 25453305
    [Google Scholar]
  9. Huawei Z. Research progress of brain magnetic resonance imaging in depression. Neural Injury Function. Reconstruct. 2015 6 529 532
    [Google Scholar]
  10. Jing Z. Chengzhou Z. Yuntinget Z. Advanced clinical application of voxelbased morphometery. Int. J. Med. Radiol 2010 33 314 317
    [Google Scholar]
  11. Xiaoling L. Advances in imaging studies of senile depression. Chinese J.Magn. Reson. imaging 2020 11 228 231
    [Google Scholar]
  12. Limei C. Preliminary study on comparing the ReHo features of resting-state functional MRI between the treatment-resistant and non-treatment-resistant depression. Chinese J. Magn. Reson. Imaging 2021 12 10 14
    [Google Scholar]
  13. Qi Z. Progress in the study of functional magnetic resonance imaging (fMRI) brain networks in the depression. Chinese J. Magn. Reson. Imaging 2018 9 289 293
    [Google Scholar]
  14. Kong Y. MRI findings of senile depression. Chin. J. Nerv. Ment. Dis. 2018 44 574 577
    [Google Scholar]
  15. Hongbing K. Jibing D. Application value of resting state functional magnetic resonance imaging in abnormal brain function and structure in elderly patients with depression. Pract. J. Cardiac Cereb. Pneumal. Vasc. Dis. 2017 25 187 189
    [Google Scholar]
  16. Zhao P. Shi J. Yao Z. The role of magnetic resonance imaging in predicting the efficacy of depression. Chinese J. Behav. Med. Brain Sci. 2017 26 661 665
    [Google Scholar]
  17. Liebe T. Kaufmann J. Li M. Skalej M. Wagner G. Walter M. In vivo anatomical mapping of human locus coeruleus functional connectivity at 3 T MRI. Hum. Brain Mapp. 2020 41 8 2136 2151 10.1002/hbm.24935 31994319
    [Google Scholar]
  18. Wu L. Zhang T. Zhang S. Comparative study of magnetic resonance imaging-based neuroimaging methods in older adults with depression. Psychiatry Res. Neuroimaging 2023 331 111637 10.1016/j.pscychresns.2023.111637 37028173
    [Google Scholar]
  19. Andersson B. Luo H. Wong G.H.Y. Lum T.Y.S. Linking the scores of the montreal cognitive assessment 5-min and the interRAI cognitive performance scale in older adults with mild physical or cognitive impairment. Front. Psychiatry 2021 12 705188 10.3389/fpsyt.2021.705188 34594249
    [Google Scholar]
  20. Salvadori E. Cova I. Mele F. Pomati S. Pantoni L. Prediction of post-stroke cognitive impairment by Montreal Cognitive Assessment (MoCA) performances in acute stroke: Comparison of three normative datasets. Aging Clin. Exp. Res. 2022 34 8 1855 1863 10.1007/s40520‑022‑02133‑9 35441928
    [Google Scholar]
/content/journals/cmir/10.2174/0115734056281104241220113235
Loading
Magnetic Resonance Imaging Study on Older Patients with Cognitive Impairment and Depression
Bentham Science Publishers , e15734056281104; https://doi.org/10.2174/0115734056281104241220113235
/content/journals/cmir/10.2174/0115734056281104241220113235
/content/journals/cmir/10.2174/0115734056281104241220113235
Loading

Data & Media loading...


  • Article Type:     Research Article
Keywords: Montreal cognitive assessment (MoCA) ; Magnetic resonance imaging (MRI) ; Difference analysis ; Older patients ; Depression ; Correlation analysis of cognitive ability

Most Cited Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error
Please enter a valid_number test