The Performance of Story Information Retrieval in Patients with Parkinson’s Disease and Normal Pressure Hydrocephalus

Objectives: The purpose of this study was to determine whether a story information retrieval task can be used to sensitively detect cognitive and language decline in patients with Parkinson’s disease (PD) and normal pressure hydrocephalus (NPH) and to differentially diagnose the two groups. Methods: To assess participants’ real-life cognitive and language abilities, we used the story information retrieval task, which involves showing a video of a story and then asking for information about it. The task was administered to 60 participants, 20 each of the healthy elderly (HE), PD patients, and NPH patients. We then compared the performance of story information retrieval among the three groups in terms of full and partial information frequencies, the total score, and scores by information type. And the correlation with the Korean version of the mini-mental state examination, 2nd edition (K-MMSE-2) was analyzed to check the validity of the story information retrieval task. Results: The PD and NPH groups performed significantly worse than the HE group on the story information retrieval, whether measured by frequency or total score. However, when compared by information type, only the NPH and HE groups showed significant differences. Conclusion: By assessing story information retrieval performance, we were able to identify language and cognitive decline in PD and NPH patients. And the study also showed that the two patient populations may perform differently when evaluated by information type.

Authors

Publication Details

Journal
Eon'eo cheong'gag jang'ae yeon'gu/Communication sciences & disorders
Published
2024-12-31
DOI
https://doi.org/10.12963/csd.240080
Citations
3
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
1.04

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Performance of Story Information Retrieval in Patients with Parkinson’s Disease and Normal Pressure Hydrocephalus

Ji-Wan Ha, Kyunghun Kang, Janghyeok Yoon, Yoo-Jung Cho et al.
3 citations
Eon'eo cheong'gag jang'ae yeon'gu/Communication sciences & disorders
Topic Modeling
1.04
article

The Performance of Story Information Retrieval in Patients with Parkinson’s Disease and Normal Pressure Hydrocephalus

Ji-Wan Ha, Kyunghun Kang, Janghyeok Yoon, Yoo-Jung Cho, Ki‐Su Park, Na Yeon Kim, J. H. Lee
article en
3 citations

Abstract

Objectives: The purpose of this study was to determine whether a story information retrieval task can be used to sensitively detect cognitive and language decline in patients with Parkinson’s disease (PD) and normal pressure hydrocephalus (NPH) and to differentially diagnose the two groups. Methods: To assess participants’ real-life cognitive and language abilities, we used the story information retrieval task, which involves showing a video of a story and then asking for information about it. The task was administered to 60 participants, 20 each of the healthy elderly (HE), PD patients, and NPH patients. We then compared the performance of story information retrieval among the three groups in terms of full and partial information frequencies, the total score, and scores by information type. And the correlation with the Korean version of the mini-mental state examination, 2nd edition (K-MMSE-2) was analyzed to check the validity of the story information retrieval task. Results: The PD and NPH groups performed significantly worse than the HE group on the story information retrieval, whether measured by frequency or total score. However, when compared by information type, only the NPH and HE groups showed significant differences. Conclusion: By assessing story information retrieval performance, we were able to identify language and cognitive decline in PD and NPH patients. And the study also showed that the two patient populations may perform differently when evaluated by information type.

Eon'eo cheong'gag jang'ae yeon'gu/Communication sciences & disordersVol. 29(4)
National Research Foundation, Ministry of Education, National Research Foundation of Korea
Quality Education
Openalex Percentile: Top 18%
Topic Modeling
1.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.