Hostname: page-component-669899f699-rg895 Total loading time: 0 Render date: 2025-04-25T17:50:14.451Z Has data issue: false hasContentIssue false
  • English
  • Français

Growing trends in conceptualizing geriatric mental health within a neural context

Commentary on “Anxiety in Late-Life Depression: Associations with Brain Volume, Amyloid Beta, White Matter Lesions, Cognition, and Functional Ability” by Kryza-Lacombe et al.

Published online by Cambridge University Press:  29 February 2024

Nathan Hantke  and
Shanna Cooper
Nathan Hantke*
Affiliation:
Department of Neurology, Oregon Health & Science University, Portland, OR, USA Department of Mental Health and Clinical Neuroscience Division, Veteran Affairs Portland Health Care System, Portland, OR, USA
Shanna Cooper
Affiliation:
Department of Neurology, Oregon Health & Science University, Portland, OR, USA Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA
*
Email: [email protected]
Get access

Abstract

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Commentary
Information
International Psychogeriatrics , Volume 36 , Special Issue 11: Issue Theme: Brain and Late-Life Depression , November 2024 , pp. 991 - 994
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of International Psychogeriatric Association

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

Andreescu, C., Sheu, L. K., Tudorascu, D., Gross, J. J., Walker, S., Banihashemi, L., & Aizenstein, H. (2015). Emotion reactivity and regulation in late-life generalized anxiety disorder: Functional connectivity at baseline and post-treatment. Am J Geriatr Psychiatry, 23(2), 200–214. https://doi.org/10.1016/j.jagp.2014.05.003 CrossRefGoogle ScholarPubMed
Andreescu, C., Tudorascu, D., Sheu, L. K., Rangarajan, A., Butters, M. A., Walker, S., Berta, R., Desmidt, T., & Aizenstein, H. (2017). Brain structural changes in late-life generalized anxiety disorder. Psychiatry Research: Neuroimaging, 268, 15–21. https://doi.org/10.1016/j.pscychresns.2017.08.004 CrossRefGoogle ScholarPubMed
Beaudreau, S. A., & O’Hara, R. (2009). The association of anxiety and depressive symptoms with cognitive performance in community-dwelling older adults. Psychology and Aging, 24 (2), 507–512. https://doi.org/10.1037/a0016035 CrossRefGoogle ScholarPubMed
Beekman, A. T., de Beurs, E., van Balkom, A. J., Deeg, D. J., van Dyck, R., & van Tilburg, W. (2000). Anxiety and depression in later life: Co-occurrence and communality of risk factors. American Journal of Psychiatry, 157 (1), 89–95. https://doi.org/10.1176/ajp.157.1.89 CrossRefGoogle ScholarPubMed
Cuthbert, B. N. (2015). Research domain criteria: Toward future psychiatric nosologies. Dialogues in Clinical Neuroscience, 17(1), 89–97. https://doi.org/10.31887/DCNS.2015.17.1/bcuthbert CrossRefGoogle ScholarPubMed
Delhom, I., Satorres, E., & Meléndez, J. C. (2022). Emotional intelligence intervention in older adults to improve adaptation and reduce negative mood. International Psychogeriatrics, 34(1), 79–89. https://doi.org/10.1017/s1041610220003579 CrossRefGoogle ScholarPubMed
Demnitz-King, H., Saba, L., Lau, Y., Munns, L., Zabihi, S., Schlosser, M., del-Pino-Casado, R., Orgeta, V., & Marchant, N. L. (2023). Association between anxiety symptoms and Alzheimer’s disease biomarkers in cognitively healthy adults: A systematic review and meta-analysis. Journal of Psychosomatic Research, 166, 111159. https://doi.org/10.1016/j.jpsychores.2023.111159 CrossRefGoogle ScholarPubMed
Desai, R., Charlesworth, G. M., Brooker, H. J., Potts, H. W. W., Corbett, A., Aarsland, D., & Ballard, C. G. (2020). Temporal relationship between depressive symptoms and cognition in mid and late life: A longitudinal cohort study. Journal of The American Medical Directors Association, 21 (8), 1108–1113. https://doi.org/10.1016/j.jamda.2020.01.106 CrossRefGoogle ScholarPubMed
Etkin, A., & Schatzberg, A. F. (2011). Common abnormalities and disorder-specific compensation during implicit regulation of emotional processing in generalized anxiety and major depressive disorders. Am J Psychiatry, 168(9), 968–978. https://doi.org/10.1176/appi.ajp.2011.10091290 CrossRefGoogle ScholarPubMed
Hantke, N. C., Gyurak, A., Van Moorleghem, K., Waring, J. D., Adamson, M. M., O’Hara, R., & Beaudreau, S. A. (2017). Disentangling cognition and emotion in older adults: The role of cognitive control and mental health in emotional conflict adaptation. Int J Geriatr Psychiatry, 32 (8), 840–848. https://doi.org/10.1002/gps.4535 CrossRefGoogle ScholarPubMed
Kaup, A. R., Byers, A. L., Falvey, C., Simonsick, E. M., Satterfield, S., Ayonayon, H. N., Smagula, S. F., Rubin, S. M., & Yaffe, K. (2016). Trajectories of depressive symptoms in older adults and risk of dementia. JAMA Psychiatry, 73(5), 525–531. https://doi.org/10.1001/jamapsychiatry.2016.0004 CrossRefGoogle ScholarPubMed
Kryza-Lacombe, M., Kassel, M., Insel, Philip, Rhodes, E., Bickford, D., & Burns, E. (2023). Anxiety in late life depression: Associations with brain volume, amyloid beta, white matter lesions, cognition, and functional ability. International Psychogeriatrics, To be published.Google Scholar
McTeague, L. M., Rosenberg, B. M., Lopez, J. W., Carreon, D. M., Huemer, J., Jiang, Y., Chick, C. F., Eickhoff, S. B., & Etkin, A. (2020). Identification of common neural circuit disruptions in emotional processing across psychiatric disorders. American Journal of Psychiatry, 177(5), 411–421. https://doi.org/10.1176/appi.ajp.2019.18111271 CrossRefGoogle ScholarPubMed
Petkus, A. J., Reynolds, C. A., Wetherell, J. L., Kremen, W. S., Pedersen, N. L., & Gatz, M. (2016). Anxiety is associated with increased risk of dementia in older Swedish twins. Alzheimers & Dementia, 12(4), 399–406. https://doi.org/10.1016/j.jalz.2015.09.008 CrossRefGoogle ScholarPubMed
Pimontel, M. A., Kanellopoulos, D., & Gunning, F. M. (2020). Neuroanatomical Abnormalities in older depressed adults with apathy: A systematic review. Journal of Geriatric Psychiatry and Neurology, 33(5), 289–303. https://doi.org/10.1177/0891988719882100 CrossRefGoogle ScholarPubMed
Xie, C., Xiang, S., Shen, C., Peng, X., Kang, J., Li, Y., Cheng, W., He, S., Bobou, M., Broulidakis, M. J., van Noort, B. M., Zhang, Z., Robinson, L., Vaidya, N., Winterer, J., Zhang, Y., King, S., Banaschewski, T., Barker, G. J., …Feng, J. (2023). A shared neural basis underlying psychiatric comorbidity. Nature Medicine, 29(5), 1232–1242. https://doi.org/10.1038/s41591-023-02317-4 CrossRefGoogle ScholarPubMed
Zuidersma, M., Lugtenburg, A., van Zelst, W., Reesink, F. E., De Deyn, P. P., Strijkert, F., Zuidema, S. U., & Oude Voshaar, R. C. (2022). Temporal dynamics of depression, cognitive performance and sleep in older persons with depressive symptoms and cognitive impairments: a series of eight single-subject studies. International Psychogeriatrics, 34(1), 47–59. https://doi.org/10.1017/s1041610221000065 CrossRefGoogle ScholarPubMed