198
Views
1
CrossRef citations to date
0
Altmetric
Research Article

Reliable cognitive change following unilateral deep brain stimulation in essential tremor

ORCID Icon, , , , , , , & ORCID Icon show all
Published online: 15 Mar 2022
 

Abstract

Objective: This retrospective analysis assessed regression-based reliable change (RC) of cognition in a sample of essential tremor (ET) patients who underwent unilateral deep brain stimulation of the ventral intermediate nucleus of the thalamus (VIM-DBS).

Method: Thirty patients (mean age at pre-evaluation = 70.4 ± 6.3 years) underwent neuropsychological evaluation pre- and post-unilateral VIM-DBS placement (mean time between pre and post-evaluation = 13.1 ± 4.0 months). Paired samples t-tests and RC analyses were employed.

Results: No significant within-group differences were observed when cognitive scores were compared between evaluations. The vast majority of patients demonstrated stability across pre-and post-surgical evaluations (i.e. 29 out of 30); however, those with high-risk co-morbid medical conditions may be vulnerable to post-surgical cognitive decline as indicated by RC measures.

Conclusions: The use of regression-based RC indices to assess individual cognitive changes between pre and post-surgical evaluations control for systematic and measurement errors that can occur over repeated evaluations, and may be able to identify cognitive changes that evade detection in traditional within-group comparisons.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 398.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.