ClinicalTrials.gov
public full text
Public Domain
Identification of Early Markers of Alzheimer's Disease by Using Eye Tracking in Reading.
The objective of this study is to identify early and accurate semantics markers of Alzheimer's disease (AD) by using two types of methods. First, the investigator will evaluate semantic processing of patients with AD or related disorders which will be compared to age matched controls by taking neuropsychological tests. Then, the investigator will analyze the effect of contextual word predictability on eye movements in reading sentences with the help of the same participants by using an eye tracker. Both of these methods will be used twice with a time interval of 6 months.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- LLM-Anchored Paralinguistic Enrichment for Alzheimer's Disease Detection#998471
- UK Validation of the Automated "AcceXible" Speech Analysis Software#883184
- The Utility of Speech and Language Analytics for Screening Alzheimer's Disease.#315801
- Clustering and Switching Dynamics in Alzheimer's Disease During Property Listing#1078934
- Developments in understanding early onset Alzheimer's disease#1133139
Record · ID 826341
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive