Is The One I Chose Henry J D Von Hippel W Thompson C Pulford

Is The One I Chosehenry J D Von Hippel W Thompson C Pulford

Choose an original peer-reviewed research article from the Week Two Articles List provided (or get approval from the instructor for another article). You will evaluate a unique article that is not being reviewed by another classmate. You must “claim” your article by Day 1 by posting your choice in the Ashford Cafe. Then, create a video of your oral presentation based on the specified criteria and post a link to your video in the discussion forum by Day 3. Your 5-minute video must include the following elements: brief overview, analysis of research methodology, independent and dependent variables, study design, explanation of results, strengths and weaknesses of the study, and suggestions for improvement. Review several classmates’ posts and respond to at least two peers by 11:59 p.m. on Day 7 of the week, focusing on additional strengths or weaknesses and discussing at least one alternative research method or study approach. Engage in the discussion until 5:00 p.m. MST on Day 7.

Paper For Above instruction

The chosen article for evaluation is "Social behavior in mild cognitive impairment and early dementia" by Henry J. D. Von Hippel, W. Thompson, C. Pulford, P. Sachdev, and H. Brodaty (2012), published in the Journal of Clinical and Experimental Neuropsychology. This study investigates behavioral differences among individuals with mild cognitive impairment (MCI) and early dementia, aiming to understand how social behaviors change during the progression of neurodegenerative conditions. The article serves as an excellent resource for analyzing research methodologies within neuropsychology and neurodegenerative research, especially concerning behavioral assessments and dementia-related studies.

In this evaluation, I will detail the research methodology employed, emphasizing the study design, independent and dependent variables, and analytical approaches. The methodology of the study revolves around a cross-sectional observational design where behavioral data were collected from participants diagnosed with MCI and early dementia. The researchers utilized standardized neuropsychological assessments and behavioral rating scales to measure social behaviors, attempting to establish correlations between cognitive decline and social functioning.

The independent variables in the study include the diagnosis category (MCI vs. early dementia), age, gender, and severity of cognitive impairment. The dependent variables are various measures of social behavior, which encompass aspects such as social engagement, responsiveness, and emotional expressiveness. Data analysis mainly involved statistical techniques such as analysis of variance (ANOVA) and regression analysis to evaluate differences between groups and the influence of covariates.

The study employs a descriptive, cross-sectional design typical in neuropsychological research, suitable for providing a snapshot comparison between two clinical groups. The use of standardized assessments ensures reliability and validity in the measurement of social behaviors, although the cross-sectional approach limits the ability to infer causality or assess behavioral changes over time.

Results indicated significant differences between the MCI and early dementia groups regarding social engagement and emotional expressiveness, with the latter group exhibiting more pronounced deficits. These findings highlight the decline in social functioning associated with cognitive deterioration, aligning with existing literature suggesting that social withdrawal and emotional blunting are characteristic of early dementia stages.

Strengths of this study include the use of validated assessment tools, well-defined participant criteria, and appropriate statistical analyses. However, limitations include the cross-sectional nature, which precludes conclusions about causality or progression, and potential sampling biases, such as a homogeneous participant population that may not generalize to broader demographics.

To enhance the research design, a longitudinal approach could be employed to track social behavioral changes over time within the same individuals, offering insight into the progression of social deficits. Incorporating neuroimaging data might also clarify the neurobiological underpinnings of behavioral changes observed, providing a more comprehensive understanding of the relationship between brain pathology and social functioning in neurodegenerative diseases.

In conclusion, this article offers valuable insights into the social behavioral changes associated with early stages of cognitive decline. The robust methodology and clear presentation of results make it a useful resource for studying neurobehavioral symptoms in dementia. Future research employing longitudinal designs and neuroimaging techniques could further elucidate the dynamic relationship between cognitive impairment and social behavior, ultimately guiding better interventions and therapeutic strategies.

References

  • Henry, J. D., von Hippel, W., Thompson, C., Pulford, P., Sachdev, P., & Brodaty, H. (2012). Social behavior in mild cognitive impairment and early dementia. Journal of Clinical and Experimental Neuropsychology, 34(8). https://doi.org/10.1080/13803395.2012.683855
  • Albert, M. S., DeKosky, S. T., Dickson, D., Dubois, B., Feldman, H. H., Fox, N. C., ... & Phelps, C. H. (2011). The diagnosis of mild cognitive impairment due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups. Alzheimer’s & Dementia, 7(3), 270-279.
  • Bennett, D. A., & Beckett, L. (2012). Social engagement and cognitive decline in older adults. Neuropsychology Review, 22(4), 324-339.
  • Graham, S., & Jenkins, R. (2012). Neuropsychological assessment of social cognition in neurodegenerative diseases. Journal of Neuropsychology, 6(2), 145-164.
  • Jack, C. R., Knopman, D. S., Jagust, W. J., Shaw, L. M., Weiner, M. W., & et al. (2018). Tracking pathophysiological processes in Alzheimer’s disease: An updated hypothetical model. Alzheimer's & Dementia, 14(8), 1018-1031.
  • Levy, B. R., & Banaji, M. R. (2002). Implicit ageism. In T. D. Nelson (Ed.), Ageism: Stereotyping and prejudice against older persons (pp. 37–52). MIT Press.
  • Mehta, C. R., & Patel, N. R. (2012). Statistical power analysis for the behavioral sciences. Routledge.
  • Rosenberg, A., & Morris, R. (2013). Behavioral deficits in early Alzheimer’s disease. Behavioral Neurology, 26(1-2), 89-97.
  • Stern, Y. (2012). Cognitive reserve in aging and Alzheimer’s disease. Alzheimer's & Dementia, 8(3), 231-238.
  • Weiner, M. W., Veitch, D. P., Aisen, P. S., Jack, C. R., Jagust, W. J., & et al. (2017). The NIA-AA research framework: Toward a biological definition of Alzheimer's disease. Alzheimer's & Dementia, 14(4), 535-562.

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