Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 May 14:14:108.
doi: 10.3389/fnhum.2020.00108. eCollection 2020.

Exploring Representation of Diverse Samples in fMRI Studies Conducted in Patients With Cardiac-Related Chronic Illness: A Focused Systematic Review

Affiliations

Exploring Representation of Diverse Samples in fMRI Studies Conducted in Patients With Cardiac-Related Chronic Illness: A Focused Systematic Review

Lenette M Jones et al. Front Hum Neurosci. .

Abstract

Introduction/Purpose: Cardiovascular disease (CVD) is the leading cause of death worldwide, and in the United States alone, CVD causes nearly 840,000 deaths annually. Using functional magnetic resonance imaging (fMRI), a tool to assess brain activity, researchers have identified some brain-behavior connections and predicted several self-management behaviors. The purpose of this study was to examine the sample characteristics of individuals with CVD who participated in fMRI studies. Methods: A literature search was conducted in PubMed, CINAHL, and Scopus. No date or language restrictions were applied and research methodology filters were used. In October 2017, 1659 titles and abstracts were identified. Inclusion criteria were: (1) utilized an empirical study design, (2) used fMRI to assess brain activity, and (3) focused on patients with CVD-related chronic illness. Articles were excluded if they: were theory or opinion articles, focused on mental or neuropathic illness, included non-human samples, or were not written in English. After duplicates were removed (230), 1,429 titles and abstracts were reviewed based on inclusion criteria; 1,243 abstracts were then excluded. A total of 186 studies were reviewed in their entirety; after additional review, 142 were further excluded for not meeting the inclusion criteria. Forty-four articles met criteria and were included in the final review. An evidence table was created to capture the demographics of each study sample. Results: Ninety eight percent of the studies did not report the racial or ethnic composition of their sample. Most studies (66%) contained more men than women. Mean age ranged from 38 to 78 years; 77% reported mean age ≥50 years. The most frequently studied CVD was stroke (86%), while hypertension was studied the least (2%). Conclusion: Understanding brain-behavior relationships can help researchers and practitioners tailor interventions to meet specific patient needs. These findings suggest that additional studies are needed that focus on populations historically underrepresented in fMRI research. Researchers should thoughtfully consider diversity and purposefully sample groups by including individuals that are: women, from diverse backgrounds, younger, and diagnosed with a variety of CVD-related illnesses. Identifying and addressing these gaps by studying more representative samples will help healthcare providers reduce disparities and tailor interventions for all CVD populations.

Keywords: cardiovascular disease; chronic illness; fMRI; health disparities; sample demographics.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Study eligibility flow diagram.

Similar articles

Cited by

References

    1. Benjamin E. J., Muntner P., Bittencourt M. S. (2019). Heart disease and stroke statistics-2019 update: A report from the American Heart Association. Circulation. 139, e56–e528. 10.1161/CIR.0000000000000659 - DOI - PubMed
    1. Benjamin E. J., Virani S. S., Callaway C. W., Chamberlain A. M., Chang A. R., Cheng S., et al. . (2018). Heart disease and stroke statistics-2018 update: a report from the American Heart Association. Circulation 137:e67. 10.1161/CIR.0000000000000558 - DOI - PubMed
    1. Bressler S. L., Menon V. (2010). Large-scale brain networks in cognition: emerging methods and principles. Trends Cogn. Sci. 14, 277–290. 10.1016/j.tics.2010.04.004 - DOI - PubMed
    1. Brownsett S. L., Warren J. E., Geranmayeh F., Woodhead Z., Leech R., Wise R. J. (2014). Cognitive control and its impact on recovery from aphasic stroke. Brain. 137(Pt 1), 242–254. 10.1093/brain/awt289 - DOI - PMC - PubMed
    1. Carey J. R., Kimberley T. J., Lewis S. M., Auerbach E. J., Dorsey L., Rundquist P., et al. . (2002). Analysis of fMRI and finger tracking training in subjects with chronic stroke. Brain 125(Pt 4), 773–788. 10.1093/brain/awf091 - DOI - PubMed

Publication types