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Ethics in Research01:56

Ethics in Research

Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.

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DementiaBank: Theoretical Rationale, Protocol, and Illustrative Analyses.

Alyssa M Lanzi1,2, Anna K Saylor1, Davida Fromm3

  • 1Department of Communication Sciences and Disorders, University of Delaware, Newark.

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|February 15, 2023
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DementiaBank offers an open-access database of language data to help researchers identify early language changes in Alzheimer's disease (AD) and mild cognitive impairment (MCI). This resource aids in developing tools for early detection and intervention.

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Area of Science:

  • Neurology
  • Linguistics
  • Computational Linguistics

Background:

  • Alzheimer's disease (AD) significantly impacts memory and language, with linguistic changes potentially preceding other cognitive declines.
  • Early detection of language decline is crucial for timely intervention in individuals with mild cognitive impairment (MCI) and AD.
  • Open-access data resources are needed to develop sensitive algorithms for detecting early language changes.

Purpose of the Study:

  • To introduce the standardized DementiaBank discourse protocol for data collection.
  • To describe the Delaware corpus, a dataset within DementiaBank.
  • To provide examples of automated linguistic analyses using the Delaware corpus data.

Main Methods:

  • The DementiaBank discourse protocol involves eliciting four discourse types: picture description, story narrative, procedural, and personal narrative.
  • The Delaware corpus comprises transcribed and coded language samples from 20 neurotypical adults and 33 adults with MCI, collected via video/audio recording.
  • Data collection included the DementiaBank discourse protocol and a cognitive-linguistic battery; materials and transcription tools are freely available.

Main Results:

  • Illustrative analyses demonstrate the Delaware corpus's utility for understanding discourse metrics at individual and group levels.
  • The study highlights potential cross-database applications for analyses within TalkBank's clinical resources.
  • Methods for manual and automatic speech recognition transcription are detailed.

Conclusions:

  • DementiaBank serves as a crucial shared online database for researching language changes in MCI and AD.
  • Identifying early linguistic markers can enhance assessment and treatment strategies for individuals at risk of dementia.
  • This resource facilitates research to bridge knowledge gaps in the understanding of dementia-related language alterations.